Reversine enhances the conversion of... | F1000Research "use strict";function _typeof(t){return(_typeof="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}!function(){var t=function(){var t,e,o=[],n=window,r=n;for(;r;){try{if(r.frames.__tcfapiLocator){t=r;break}}catch(t){}if(r===n.top)break;r=r.parent}t||(!function t(){var e=n.document,o=!!n.frames.__tcfapiLocator;if(!o)if(e.body){var r=e.createElement("iframe");r.style.cssText="display:none",r.name="__tcfapiLocator",e.body.appendChild(r)}else setTimeout(t,5);return!o}(),n.__tcfapi=function(){for(var t=arguments.length,n=new Array(t),r=0;r 3&&2===parseInt(n[1],10)&&"boolean"==typeof n[3]&&(e=n[3],"function"==typeof n[2]&&n[2]("set",!0)):"ping"===n[0]?"function"==typeof n[2]&&n[2]({gdprApplies:e,cmpLoaded:!1,cmpStatus:"stub"}):o.push(n)},n.addEventListener("message",(function(t){var e="string"==typeof t.data,o={};if(e)try{o=JSON.parse(t.data)}catch(t){}else o=t.data;var n="object"===_typeof(o)&&null!==o?o.__tcfapiCall:null;n&&window.__tcfapi(n.command,n.version,(function(o,r){var a={__tcfapiReturn:{returnValue:o,success:r,callId:n.callId}};t&&t.source&&t.source.postMessage&&t.source.postMessage(e?JSON.stringify(a):a,"*")}),n.parameter)}),!1))};"undefined"!=typeof module?module.exports=t:t()}(); dataLayer = dataLayer || []; // Standard GTM initialization - Google Consent Mode handles consent automatically (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl+ '>m_auth=hzk0Vc3qFsQYhCrIoHz68A>m_preview=env-1>m_cookies_win=x';f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer','GTM-MWFK8L5J'); ;window.NREUM||(NREUM={});NREUM.init={distributed_tracing:{enabled:true},privacy:{cookies_enabled:true},ajax:{deny_list:["bam.nr-data.net"]}}; ;NREUM.loader_config={accountID:"438030",trustKey:"438030",agentID:"772317073",licenseKey:"97f8f67f26",applicationID:"772317073"} ;NREUM.info={beacon:"bam.nr-data.net",errorBeacon:"bam.nr-data.net",licenseKey:"97f8f67f26",applicationID:"772317073",sa:1} ;/*! For license information please see nr-loader-spa-1.236.0.min.js.LICENSE.txt */ (()=>{"use strict";var e,t,r={5763:(e,t,r)=>{r.d(t,{P_:()=>l,Mt:()=>g,C5:()=>s,DL:()=>v,OP:()=>T,lF:()=>D,Yu:()=>y,Dg:()=>h,CX:()=>c,GE:()=>b,sU:()=>_});var n=r(8632),i=r(9567);const o={beacon:n.ce.beacon,errorBeacon:n.ce.errorBeacon,licenseKey:void 0,applicationID:void 0,sa:void 0,queueTime:void 0,applicationTime:void 0,ttGuid:void 0,user:void 0,account:void 0,product:void 0,extra:void 0,jsAttributes:{},userAttributes:void 0,atts:void 0,transactionName:void 0,tNamePlain:void 0},a={};function s(e){if(!e)throw new Error("All info objects require an agent identifier!");if(!a[e])throw new Error("Info for ".concat(e," was never set"));return a[e]}function c(e,t){if(!e)throw new Error("All info objects require an agent identifier!");a[e]=(0,i.D)(t,o),(0,n.Qy)(e,a[e],"info")}var u=r(7056);const d=()=>{const e={blockSelector:"[data-nr-block]",maskInputOptions:{password:!0}};return{allow_bfcache:!0,privacy:{cookies_enabled:!0},ajax:{deny_list:void 0,enabled:!0,harvestTimeSeconds:10},distributed_tracing:{enabled:void 0,exclude_newrelic_header:void 0,cors_use_newrelic_header:void 0,cors_use_tracecontext_headers:void 0,allowed_origins:void 0},session:{domain:void 0,expiresMs:u.oD,inactiveMs:u.Hb},ssl:void 0,obfuscate:void 0,jserrors:{enabled:!0,harvestTimeSeconds:10},metrics:{enabled:!0},page_action:{enabled:!0,harvestTimeSeconds:30},page_view_event:{enabled:!0},page_view_timing:{enabled:!0,harvestTimeSeconds:30,long_task:!1},session_trace:{enabled:!0,harvestTimeSeconds:10},harvest:{tooManyRequestsDelay:60},session_replay:{enabled:!1,harvestTimeSeconds:60,sampleRate:.1,errorSampleRate:.1,maskTextSelector:"*",maskAllInputs:!0,get blockClass(){return"nr-block"},get ignoreClass(){return"nr-ignore"},get maskTextClass(){return"nr-mask"},get blockSelector(){return e.blockSelector},set blockSelector(t){e.blockSelector+=",".concat(t)},get maskInputOptions(){return e.maskInputOptions},set maskInputOptions(t){e.maskInputOptions={...t,password:!0}}},spa:{enabled:!0,harvestTimeSeconds:10}}},f={};function l(e){if(!e)throw new Error("All configuration objects require an agent identifier!");if(!f[e])throw new Error("Configuration for ".concat(e," was never set"));return f[e]}function h(e,t){if(!e)throw new Error("All configuration objects require an agent identifier!");f[e]=(0,i.D)(t,d()),(0,n.Qy)(e,f[e],"config")}function g(e,t){if(!e)throw new Error("All configuration objects require an agent identifier!");var r=l(e);if(r){for(var n=t.split("."),i=0;i {r.d(t,{D:()=>i});var n=r(50);function i(e,t){try{if(!e||"object"!=typeof e)return(0,n.Z)("Setting a Configurable requires an object as input");if(!t||"object"!=typeof t)return(0,n.Z)("Setting a Configurable requires a model to set its initial properties");const r=Object.create(Object.getPrototypeOf(t),Object.getOwnPropertyDescriptors(t)),o=0===Object.keys(r).length?e:r;for(let a in o)if(void 0!==e[a])try{"object"==typeof e[a]&&"object"==typeof t[a]?r[a]=i(e[a],t[a]):r[a]=e[a]}catch(e){(0,n.Z)("An error occurred while setting a property of a Configurable",e)}return r}catch(e){(0,n.Z)("An error occured while setting a Configurable",e)}}},6818:(e,t,r)=>{r.d(t,{Re:()=>i,gF:()=>o,q4:()=>n});const n="1.236.0",i="PROD",o="CDN"},385:(e,t,r)=>{r.d(t,{FN:()=>a,IF:()=>u,Nk:()=>f,Tt:()=>s,_A:()=>o,il:()=>n,pL:()=>c,v6:()=>i,w1:()=>d});const n="undefined"!=typeof window&&!!window.document,i="undefined"!=typeof WorkerGlobalScope&&("undefined"!=typeof self&&self instanceof WorkerGlobalScope&&self.navigator instanceof WorkerNavigator||"undefined"!=typeof globalThis&&globalThis instanceof WorkerGlobalScope&&globalThis.navigator instanceof WorkerNavigator),o=n?window:"undefined"!=typeof WorkerGlobalScope&&("undefined"!=typeof self&&self instanceof WorkerGlobalScope&&self||"undefined"!=typeof globalThis&&globalThis instanceof WorkerGlobalScope&&globalThis),a=""+o?.location,s=/iPad|iPhone|iPod/.test(navigator.userAgent),c=s&&"undefined"==typeof SharedWorker,u=(()=>{const e=navigator.userAgent.match(/Firefox[/\s](\d+\.\d+)/);return Array.isArray(e)&&e.length>=2?+e[1]:0})(),d=Boolean(n&&window.document.documentMode),f=!!navigator.sendBeacon},1117:(e,t,r)=>{r.d(t,{w:()=>o});var n=r(50);const i={agentIdentifier:"",ee:void 0};class o{constructor(e){try{if("object"!=typeof e)return(0,n.Z)("shared context requires an object as input");this.sharedContext={},Object.assign(this.sharedContext,i),Object.entries(e).forEach((e=>{let[t,r]=e;Object.keys(i).includes(t)&&(this.sharedContext[t]=r)}))}catch(e){(0,n.Z)("An error occured while setting SharedContext",e)}}}},8e3:(e,t,r)=>{r.d(t,{L:()=>d,R:()=>c});var n=r(2177),i=r(1284),o=r(4322),a=r(3325);const s={};function c(e,t){const r={staged:!1,priority:a.p[t]||0};u(e),s[e].get(t)||s[e].set(t,r)}function u(e){e&&(s[e]||(s[e]=new Map))}function d(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"feature";if(u(e),!e||!s[e].get(t))return a(t);s[e].get(t).staged=!0;const r=[...s[e]];function a(t){const r=e?n.ee.get(e):n.ee,a=o.X.handlers;if(r.backlog&&a){var s=r.backlog[t],c=a[t];if(c){for(var u=0;s&&u {let[t,r]=e;return r.staged}))&&(r.sort(((e,t)=>e[1].priority-t[1].priority)),r.forEach((e=>{let[t]=e;a(t)})))}function f(e,t){var r=e[1];(0,i.D)(t[r],(function(t,r){var n=e[0];if(r[0]===n){var i=r[1],o=e[3],a=e[2];i.apply(o,a)}}))}},2177:(e,t,r)=>{r.d(t,{c:()=>f,ee:()=>u});var n=r(8632),i=r(2210),o=r(1284),a=r(5763),s="nr@context";let c=(0,n.fP)();var u;function d(){}function f(e){return(0,i.X)(e,s,l)}function l(){return new d}function h(){u.aborted=!0,u.backlog={}}c.ee?u=c.ee:(u=function e(t,r){var n={},c={},f={},g=!1;try{g=16===r.length&&(0,a.OP)(r).isolatedBacklog}catch(e){}var p={on:b,addEventListener:b,removeEventListener:y,emit:v,get:x,listeners:w,context:m,buffer:A,abort:h,aborted:!1,isBuffering:E,debugId:r,backlog:g?{}:t&&"object"==typeof t.backlog?t.backlog:{}};return p;function m(e){return e&&e instanceof d?e:e?(0,i.X)(e,s,l):l()}function v(e,r,n,i,o){if(!1!==o&&(o=!0),!u.aborted||i){t&&o&&t.emit(e,r,n);for(var a=m(n),s=w(e),d=s.length,f=0;fn,p:()=>i});var n=r(2177).ee.get("handle");function i(e,t,r,i,o){o?(o.buffer([e],i),o.emit(e,t,r)):(n.buffer([e],i),n.emit(e,t,r))}},4322:(e,t,r)=>{r.d(t,{X:()=>o});var n=r(5546);o.on=a;var i=o.handlers={};function o(e,t,r,o){a(o||n.E,i,e,t,r)}function a(e,t,r,i,o){o||(o="feature"),e||(e=n.E);var a=t[o]=t[o]||{};(a[r]=a[r]||[]).push([e,i])}},3239:(e,t,r)=>{r.d(t,{bP:()=>s,iz:()=>c,m$:()=>a});var n=r(385);let i=!1,o=!1;try{const e={get passive(){return i=!0,!1},get signal(){return o=!0,!1}};n._A.addEventListener("test",null,e),n._A.removeEventListener("test",null,e)}catch(e){}function a(e,t){return i||o?{capture:!!e,passive:i,signal:t}:!!e}function s(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=arguments.length>3?arguments[3]:void 0;window.addEventListener(e,t,a(r,n))}function c(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=arguments.length>3?arguments[3]:void 0;document.addEventListener(e,t,a(r,n))}},4402:(e,t,r)=>{r.d(t,{Ht:()=>u,M:()=>c,Rl:()=>a,ky:()=>s});var n=r(385);const i="xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx";function o(e,t){return e?15&e[t]:16*Math.random()|0}function a(){const e=n._A?.crypto||n._A?.msCrypto;let t,r=0;return e&&e.getRandomValues&&(t=e.getRandomValues(new Uint8Array(31))),i.split("").map((e=>"x"===e?o(t,++r).toString(16):"y"===e?(3&o()|8).toString(16):e)).join("")}function s(e){const t=n._A?.crypto||n._A?.msCrypto;let r,i=0;t&&t.getRandomValues&&(r=t.getRandomValues(new Uint8Array(31)));const a=[];for(var s=0;s {r.d(t,{Bq:()=>n,Hb:()=>o,oD:()=>i});const n="NRBA",i=144e5,o=18e5},7894:(e,t,r)=>{function n(){return Math.round(performance.now())}r.d(t,{z:()=>n})},7243:(e,t,r)=>{r.d(t,{e:()=>o});var n=r(385),i={};function o(e){if(e in i)return i[e];if(0===(e||"").indexOf("data:"))return{protocol:"data"};let t;var r=n._A?.location,o={};if(n.il)t=document.createElement("a"),t.href=e;else try{t=new URL(e,r.href)}catch(e){return o}o.port=t.port;var a=t.href.split("://");!o.port&&a[1]&&(o.port=a[1].split("/")[0].split("@").pop().split(":")[1]),o.port&&"0"!==o.port||(o.port="https"===a[0]?"443":"80"),o.hostname=t.hostname||r.hostname,o.pathname=t.pathname,o.protocol=a[0],"/"!==o.pathname.charAt(0)&&(o.pathname="/"+o.pathname);var s=!t.protocol||":"===t.protocol||t.protocol===r.protocol,c=t.hostname===r.hostname&&t.port===r.port;return o.sameOrigin=s&&(!t.hostname||c),"/"===o.pathname&&(i[e]=o),o}},50:(e,t,r)=>{function n(e,t){"function"==typeof console.warn&&(console.warn("New Relic: ".concat(e)),t&&console.warn(t))}r.d(t,{Z:()=>n})},2587:(e,t,r)=>{r.d(t,{N:()=>c,T:()=>u});var n=r(2177),i=r(5546),o=r(8e3),a=r(3325);const s={stn:[a.D.sessionTrace],err:[a.D.jserrors,a.D.metrics],ins:[a.D.pageAction],spa:[a.D.spa],sr:[a.D.sessionReplay,a.D.sessionTrace]};function c(e,t){const r=n.ee.get(t);e&&"object"==typeof e&&(Object.entries(e).forEach((e=>{let[t,n]=e;void 0===u[t]&&(s[t]?s[t].forEach((e=>{n?(0,i.p)("feat-"+t,[],void 0,e,r):(0,i.p)("block-"+t,[],void 0,e,r),(0,i.p)("rumresp-"+t,[Boolean(n)],void 0,e,r)})):n&&(0,i.p)("feat-"+t,[],void 0,void 0,r),u[t]=Boolean(n))})),Object.keys(s).forEach((e=>{void 0===u[e]&&(s[e]?.forEach((t=>(0,i.p)("rumresp-"+e,[!1],void 0,t,r))),u[e]=!1)})),(0,o.L)(t,a.D.pageViewEvent))}const u={}},2210:(e,t,r)=>{r.d(t,{X:()=>i});var n=Object.prototype.hasOwnProperty;function i(e,t,r){if(n.call(e,t))return e[t];var i=r();if(Object.defineProperty&&Object.keys)try{return Object.defineProperty(e,t,{value:i,writable:!0,enumerable:!1}),i}catch(e){}return e[t]=i,i}},1284:(e,t,r)=>{r.d(t,{D:()=>n});const n=(e,t)=>Object.entries(e||{}).map((e=>{let[r,n]=e;return t(r,n)}))},4351:(e,t,r)=>{r.d(t,{P:()=>o});var n=r(2177);const i=()=>{const e=new WeakSet;return(t,r)=>{if("object"==typeof r&&null!==r){if(e.has(r))return;e.add(r)}return r}};function o(e){try{return JSON.stringify(e,i())}catch(e){try{n.ee.emit("internal-error",[e])}catch(e){}}}},3960:(e,t,r)=>{r.d(t,{K:()=>a,b:()=>o});var n=r(3239);function i(){return"undefined"==typeof document||"complete"===document.readyState}function o(e,t){if(i())return e();(0,n.bP)("load",e,t)}function a(e){if(i())return e();(0,n.iz)("DOMContentLoaded",e)}},8632:(e,t,r)=>{r.d(t,{EZ:()=>u,Qy:()=>c,ce:()=>o,fP:()=>a,gG:()=>d,mF:()=>s});var n=r(7894),i=r(385);const o={beacon:"bam.nr-data.net",errorBeacon:"bam.nr-data.net"};function a(){return i._A.NREUM||(i._A.NREUM={}),void 0===i._A.newrelic&&(i._A.newrelic=i._A.NREUM),i._A.NREUM}function s(){let e=a();return e.o||(e.o={ST:i._A.setTimeout,SI:i._A.setImmediate,CT:i._A.clearTimeout,XHR:i._A.XMLHttpRequest,REQ:i._A.Request,EV:i._A.Event,PR:i._A.Promise,MO:i._A.MutationObserver,FETCH:i._A.fetch}),e}function c(e,t,r){let i=a();const o=i.initializedAgents||{},s=o[e]||{};return Object.keys(s).length||(s.initializedAt={ms:(0,n.z)(),date:new Date}),i.initializedAgents={...o,[e]:{...s,[r]:t}},i}function u(e,t){a()[e]=t}function d(){return function(){let e=a();const t=e.info||{};e.info={beacon:o.beacon,errorBeacon:o.errorBeacon,...t}}(),function(){let e=a();const t=e.init||{};e.init={...t}}(),s(),function(){let e=a();const t=e.loader_config||{};e.loader_config={...t}}(),a()}},7956:(e,t,r)=>{r.d(t,{N:()=>i});var n=r(3239);function i(e){let t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2?arguments[2]:void 0,i=arguments.length>3?arguments[3]:void 0;return void(0,n.iz)("visibilitychange",(function(){if(t)return void("hidden"==document.visibilityState&&e());e(document.visibilityState)}),r,i)}},1214:(e,t,r)=>{r.d(t,{em:()=>v,u5:()=>N,QU:()=>S,_L:()=>I,Gm:()=>L,Lg:()=>M,gy:()=>U,BV:()=>Q,Kf:()=>ee});var n=r(2177);const i="nr@original";var o=Object.prototype.hasOwnProperty,a=!1;function s(e,t){return e||(e=n.ee),r.inPlace=function(e,t,n,i,o){n||(n="");var a,s,c,u="-"===n.charAt(0);for(c=0;c 2?n-2:0),o=2;o {r(A[T],e,w),r(E[T],e,w)})),r(l._A,"fetch",y),t.on(y+"end",(function(e,r){var n=this;if(r){var i=r.headers.get("content-length");null!==i&&(n.rxSize=i),t.emit(y+"done",[null,r],n)}else t.emit(y+"done",[e],n)})),t}const O={},j=["pushState","replaceState"];function S(e){const t=function(e){return(e||n.ee).get("history")}(e);return!l.il||O[t.debugId]++||(O[t.debugId]=1,s(t).inPlace(window.history,j,"-")),t}var P=r(3239);const C={},R=["appendChild","insertBefore","replaceChild"];function I(e){const t=function(e){return(e||n.ee).get("jsonp")}(e);if(!l.il||C[t.debugId])return t;C[t.debugId]=!0;var r=s(t),i=/[?&](?:callback|cb)=([^&#]+)/,o=/(.*)\.([^.]+)/,a=/^(\w+)(\.|$)(.*)$/;function c(e,t){var r=e.match(a),n=r[1],i=r[3];return i?c(i,t[n]):t[n]}return r.inPlace(Node.prototype,R,"dom-"),t.on("dom-start",(function(e){!function(e){if(!e||"string"!=typeof e.nodeName||"script"!==e.nodeName.toLowerCase())return;if("function"!=typeof e.addEventListener)return;var n=(a=e.src,s=a.match(i),s?s[1]:null);var a,s;if(!n)return;var u=function(e){var t=e.match(o);if(t&&t.length>=3)return{key:t[2],parent:c(t[1],window)};return{key:e,parent:window}}(n);if("function"!=typeof u.parent[u.key])return;var d={};function f(){t.emit("jsonp-end",[],d),e.removeEventListener("load",f,(0,P.m$)(!1)),e.removeEventListener("error",l,(0,P.m$)(!1))}function l(){t.emit("jsonp-error",[],d),t.emit("jsonp-end",[],d),e.removeEventListener("load",f,(0,P.m$)(!1)),e.removeEventListener("error",l,(0,P.m$)(!1))}r.inPlace(u.parent,[u.key],"cb-",d),e.addEventListener("load",f,(0,P.m$)(!1)),e.addEventListener("error",l,(0,P.m$)(!1)),t.emit("new-jsonp",[e.src],d)}(e[0])})),t}var k=r(5763);const H={};function L(e){const t=function(e){return(e||n.ee).get("mutation")}(e);if(!l.il||H[t.debugId])return t;H[t.debugId]=!0;var r=s(t),i=k.Yu.MO;return i&&(window.MutationObserver=function(e){return this instanceof i?new i(r(e,"fn-")):i.apply(this,arguments)},MutationObserver.prototype=i.prototype),t}const z={};function M(e){const t=function(e){return(e||n.ee).get("promise")}(e);if(z[t.debugId])return t;z[t.debugId]=!0;var r=n.c,o=s(t),a=k.Yu.PR;return a&&function(){function e(r){var n=t.context(),i=o(r,"executor-",n,null,!1);const s=Reflect.construct(a,[i],e);return t.context(s).getCtx=function(){return n},s}l._A.Promise=e,Object.defineProperty(e,"name",{value:"Promise"}),e.toString=function(){return a.toString()},Object.setPrototypeOf(e,a),["all","race"].forEach((function(r){const n=a[r];e[r]=function(e){let i=!1;[...e||[]].forEach((e=>{this.resolve(e).then(a("all"===r),a(!1))}));const o=n.apply(this,arguments);return o;function a(e){return function(){t.emit("propagate",[null,!i],o,!1,!1),i=i||!e}}}})),["resolve","reject"].forEach((function(r){const n=a[r];e[r]=function(e){const r=n.apply(this,arguments);return e!==r&&t.emit("propagate",[e,!0],r,!1,!1),r}})),e.prototype=a.prototype;const n=a.prototype.then;a.prototype.then=function(){var e=this,i=r(e);i.promise=e;for(var a=arguments.length,s=new Array(a),c=0;c e())),t};function m(e,t){i.inPlace(t,["onreadystatechange"],"fn-",E)}function b(){var e=this,t=r.context(e);e.readyState>3&&!t.resolved&&(t.resolved=!0,r.emit("xhr-resolved",[],e)),i.inPlace(e,f,"fn-",E)}if(function(e,t){for(var r in e)t[r]=e[r]}(o,p),p.prototype=o.prototype,i.inPlace(p.prototype,J,"-xhr-",E),r.on("send-xhr-start",(function(e,t){m(e,t),function(e){h.push(e),a&&(y?y.then(A):u?u(A):(w=-w,x.data=w))}(t)})),r.on("open-xhr-start",m),a){var y=c&&c.resolve();if(!u&&!c){var w=1,x=document.createTextNode(w);new a(A).observe(x,{characterData:!0})}}else t.on("fn-end",(function(e){e[0]&&e[0].type===d||A()}));function A(){for(var e=0;e {r.d(t,{t:()=>n});const n=r(3325).D.ajax},6660:(e,t,r)=>{r.d(t,{A:()=>i,t:()=>n});const n=r(3325).D.jserrors,i="nr@seenError"},3081:(e,t,r)=>{r.d(t,{gF:()=>o,mY:()=>i,t9:()=>n,vz:()=>s,xS:()=>a});const n=r(3325).D.metrics,i="sm",o="cm",a="storeSupportabilityMetrics",s="storeEventMetrics"},4649:(e,t,r)=>{r.d(t,{t:()=>n});const n=r(3325).D.pageAction},7633:(e,t,r)=>{r.d(t,{Dz:()=>i,OJ:()=>a,qw:()=>o,t9:()=>n});const n=r(3325).D.pageViewEvent,i="firstbyte",o="domcontent",a="windowload"},9251:(e,t,r)=>{r.d(t,{t:()=>n});const n=r(3325).D.pageViewTiming},3614:(e,t,r)=>{r.d(t,{BST_RESOURCE:()=>i,END:()=>s,FEATURE_NAME:()=>n,FN_END:()=>u,FN_START:()=>c,PUSH_STATE:()=>d,RESOURCE:()=>o,START:()=>a});const n=r(3325).D.sessionTrace,i="bstResource",o="resource",a="-start",s="-end",c="fn"+a,u="fn"+s,d="pushState"},7836:(e,t,r)=>{r.d(t,{BODY:()=>A,CB_END:()=>E,CB_START:()=>u,END:()=>x,FEATURE_NAME:()=>i,FETCH:()=>_,FETCH_BODY:()=>v,FETCH_DONE:()=>m,FETCH_START:()=>p,FN_END:()=>c,FN_START:()=>s,INTERACTION:()=>l,INTERACTION_API:()=>d,INTERACTION_EVENTS:()=>o,JSONP_END:()=>b,JSONP_NODE:()=>g,JS_TIME:()=>T,MAX_TIMER_BUDGET:()=>a,REMAINING:()=>f,SPA_NODE:()=>h,START:()=>w,originalSetTimeout:()=>y});var n=r(5763);const i=r(3325).D.spa,o=["click","submit","keypress","keydown","keyup","change"],a=999,s="fn-start",c="fn-end",u="cb-start",d="api-ixn-",f="remaining",l="interaction",h="spaNode",g="jsonpNode",p="fetch-start",m="fetch-done",v="fetch-body-",b="jsonp-end",y=n.Yu.ST,w="-start",x="-end",A="-body",E="cb"+x,T="jsTime",_="fetch"},5938:(e,t,r)=>{r.d(t,{W:()=>o});var n=r(5763),i=r(2177);class o{constructor(e,t,r){this.agentIdentifier=e,this.aggregator=t,this.ee=i.ee.get(e,(0,n.OP)(this.agentIdentifier).isolatedBacklog),this.featureName=r,this.blocked=!1}}},9144:(e,t,r)=>{r.d(t,{j:()=>m});var n=r(3325),i=r(5763),o=r(5546),a=r(2177),s=r(7894),c=r(8e3),u=r(3960),d=r(385),f=r(50),l=r(3081),h=r(8632);function g(){const e=(0,h.gG)();["setErrorHandler","finished","addToTrace","inlineHit","addRelease","addPageAction","setCurrentRouteName","setPageViewName","setCustomAttribute","interaction","noticeError","setUserId"].forEach((t=>{e[t]=function(){for(var r=arguments.length,n=new Array(r),i=0;i 1?r-1:0),i=1;i {e.exposed&&e.api[t]&&o.push(e.api[t](...n))})),o.length>1?o:o[0]}(t,...n)}}))}var p=r(2587);function m(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},m=arguments.length>2?arguments[2]:void 0,v=arguments.length>3?arguments[3]:void 0,{init:b,info:y,loader_config:w,runtime:x={loaderType:m},exposed:A=!0}=t;const E=(0,h.gG)();y||(b=E.init,y=E.info,w=E.loader_config),(0,i.Dg)(e,b||{}),(0,i.GE)(e,w||{}),(0,i.sU)(e,x),y.jsAttributes??={},d.v6&&(y.jsAttributes.isWorker=!0),(0,i.CX)(e,y),g();const T=function(e,t){t||(0,c.R)(e,"api");const h={};var g=a.ee.get(e),p=g.get("tracer"),m="api-",v=m+"ixn-";function b(t,r,n,o){const a=(0,i.C5)(e);return null===r?delete a.jsAttributes[t]:(0,i.CX)(e,{...a,jsAttributes:{...a.jsAttributes,[t]:r}}),x(m,n,!0,o||null===r?"session":void 0)(t,r)}function y(){}["setErrorHandler","finished","addToTrace","inlineHit","addRelease"].forEach((e=>h[e]=x(m,e,!0,"api"))),h.addPageAction=x(m,"addPageAction",!0,n.D.pageAction),h.setCurrentRouteName=x(m,"routeName",!0,n.D.spa),h.setPageViewName=function(t,r){if("string"==typeof t)return"/"!==t.charAt(0)&&(t="/"+t),(0,i.OP)(e).customTransaction=(r||"http://custom.transaction")+t,x(m,"setPageViewName",!0)()},h.setCustomAttribute=function(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2];if("string"==typeof e){if(["string","number"].includes(typeof t)||null===t)return b(e,t,"setCustomAttribute",r);(0,f.Z)("Failed to execute setCustomAttribute.\nNon-null value must be a string or number type, but a type of was provided."))}else(0,f.Z)("Failed to execute setCustomAttribute.\nName must be a string type, but a type of was provided."))},h.setUserId=function(e){if("string"==typeof e||null===e)return b("enduser.id",e,"setUserId",!0);(0,f.Z)("Failed to execute setUserId.\nNon-null value must be a string type, but a type of was provided."))},h.interaction=function(){return(new y).get()};var w=y.prototype={createTracer:function(e,t){var r={},i=this,a="function"==typeof t;return(0,o.p)(v+"tracer",[(0,s.z)(),e,r],i,n.D.spa,g),function(){if(p.emit((a?"":"no-")+"fn-start",[(0,s.z)(),i,a],r),a)try{return t.apply(this,arguments)}catch(e){throw p.emit("fn-err",[arguments,this,"string"==typeof e?new Error(e):e],r),e}finally{p.emit("fn-end",[(0,s.z)()],r)}}}};function x(e,t,r,i){return function(){return(0,o.p)(l.xS,["API/"+t+"/called"],void 0,n.D.metrics,g),i&&(0,o.p)(e+t,[(0,s.z)(),...arguments],r?null:this,i,g),r?void 0:this}}function A(){r.e(439).then(r.bind(r,7438)).then((t=>{let{setAPI:r}=t;r(e),(0,c.L)(e,"api")})).catch((()=>(0,f.Z)("Downloading runtime APIs failed...")))}return["actionText","setName","setAttribute","save","ignore","onEnd","getContext","end","get"].forEach((e=>{w[e]=x(v,e,void 0,n.D.spa)})),h.noticeError=function(e,t){"string"==typeof e&&(e=new Error(e)),(0,o.p)(l.xS,["API/noticeError/called"],void 0,n.D.metrics,g),(0,o.p)("err",[e,(0,s.z)(),!1,t],void 0,n.D.jserrors,g)},d.il?(0,u.b)((()=>A()),!0):A(),h}(e,v);return(0,h.Qy)(e,T,"api"),(0,h.Qy)(e,A,"exposed"),(0,h.EZ)("activatedFeatures",p.T),T}},3325:(e,t,r)=>{r.d(t,{D:()=>n,p:()=>i});const n={ajax:"ajax",jserrors:"jserrors",metrics:"metrics",pageAction:"page_action",pageViewEvent:"page_view_event",pageViewTiming:"page_view_timing",sessionReplay:"session_replay",sessionTrace:"session_trace",spa:"spa"},i={[n.pageViewEvent]:1,[n.pageViewTiming]:2,[n.metrics]:3,[n.jserrors]:4,[n.ajax]:5,[n.sessionTrace]:6,[n.pageAction]:7,[n.spa]:8,[n.sessionReplay]:9}}},n={};function i(e){var t=n[e];if(void 0!==t)return t.exports;var o=n[e]={exports:{}};return r[e](o,o.exports,i),o.exports}i.m=r,i.d=(e,t)=>{for(var r in t)i.o(t,r)&&!i.o(e,r)&&Object.defineProperty(e,r,{enumerable:!0,get:t[r]})},i.f={},i.e=e=>Promise.all(Object.keys(i.f).reduce(((t,r)=>(i.f[r](e,t),t)),[])),i.u=e=>(({78:"page_action-aggregate",147:"metrics-aggregate",242:"session-manager",317:"jserrors-aggregate",348:"page_view_timing-aggregate",412:"lazy-feature-loader",439:"async-api",538:"recorder",590:"session_replay-aggregate",675:"compressor",733:"session_trace-aggregate",786:"page_view_event-aggregate",873:"spa-aggregate",898:"ajax-aggregate"}[e]||e)+"."+{78:"ac76d497",147:"3dc53903",148:"1a20d5fe",242:"2a64278a",317:"49e41428",348:"bd6de33a",412:"2f55ce66",439:"30bd804e",538:"1b18459f",590:"cf0efb30",675:"ae9f91a8",733:"83105561",786:"06482edd",860:"03a8b7a5",873:"e6b09d52",898:"998ef92b"}[e]+"-1.236.0.min.js"),i.o=(e,t)=>Object.prototype.hasOwnProperty.call(e,t),e={},t="NRBA:",i.l=(r,n,o,a)=>{if(e[r])e[r].push(n);else{var s,c;if(void 0!==o)for(var u=document.getElementsByTagName("script"),d=0;d {s.onerror=s.onload=null,clearTimeout(h);var i=e[r];if(delete e[r],s.parentNode&&s.parentNode.removeChild(s),i&&i.forEach((e=>e(n))),t)return t(n)},h=setTimeout(l.bind(null,void 0,{type:"timeout",target:s}),12e4);s.onerror=l.bind(null,s.onerror),s.onload=l.bind(null,s.onload),c&&document.head.appendChild(s)}},i.r=e=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},i.j=364,i.p="https://js-agent.newrelic.com/",(()=>{var e={364:0,953:0};i.f.j=(t,r)=>{var n=i.o(e,t)?e[t]:void 0;if(0!==n)if(n)r.push(n[2]);else{var o=new Promise(((r,i)=>n=e[t]=[r,i]));r.push(n[2]=o);var a=i.p+i.u(t),s=new Error;i.l(a,(r=>{if(i.o(e,t)&&(0!==(n=e[t])&&(e[t]=void 0),n)){var o=r&&("load"===r.type?"missing":r.type),a=r&&r.target&&r.target.src;s.message="Loading chunk "+t+" failed.\n("+o+": "+a+")",s.name="ChunkLoadError",s.type=o,s.request=a,n[1](s)}}),"chunk-"+t,t)}};var t=(t,r)=>{var n,o,[a,s,c]=r,u=0;if(a.some((t=>0!==e[t]))){for(n in s)i.o(s,n)&&(i.m[n]=s[n]);if(c)c(i)}for(t&&t(r);u {i.r(o);var e=i(3325),t=i(5763);const r=Object.values(e.D);function n(e){const n={};return r.forEach((r=>{n[r]=function(e,r){return!1!==(0,t.Mt)(r,"".concat(e,".enabled"))}(r,e)})),n}var a=i(9144);var s=i(5546),c=i(385),u=i(8e3),d=i(5938),f=i(3960),l=i(50);class h extends d.W{constructor(e,t,r){let n=!(arguments.length>3&&void 0!==arguments[3])||arguments[3];super(e,t,r),this.auto=n,this.abortHandler,this.featAggregate,this.onAggregateImported,n&&(0,u.R)(e,r)}importAggregator(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};if(this.featAggregate||!this.auto)return;const r=c.il&&!0===(0,t.Mt)(this.agentIdentifier,"privacy.cookies_enabled");let n;this.onAggregateImported=new Promise((e=>{n=e}));const o=async()=>{let t;try{if(r){const{setupAgentSession:e}=await Promise.all([i.e(860),i.e(242)]).then(i.bind(i,3228));t=e(this.agentIdentifier)}}catch(e){(0,l.Z)("A problem occurred when starting up session manager. This page will not start or extend any session.",e)}try{if(!this.shouldImportAgg(this.featureName,t))return void(0,u.L)(this.agentIdentifier,this.featureName);const{lazyFeatureLoader:r}=await i.e(412).then(i.bind(i,8582)),{Aggregate:o}=await r(this.featureName,"aggregate");this.featAggregate=new o(this.agentIdentifier,this.aggregator,e),n(!0)}catch(e){(0,l.Z)("Downloading and initializing ".concat(this.featureName," failed..."),e),this.abortHandler?.(),n(!1)}};c.il?(0,f.b)((()=>o()),!0):o()}shouldImportAgg(r,n){return r!==e.D.sessionReplay||!1!==(0,t.Mt)(this.agentIdentifier,"session_trace.enabled")&&(!!n?.isNew||!!n?.state.sessionReplay)}}var g=i(7633),p=i(7894);class m extends h{static featureName=g.t9;constructor(r,n){let i=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];if(super(r,n,g.t9,i),("undefined"==typeof PerformanceNavigationTiming||c.Tt)&&"undefined"!=typeof PerformanceTiming){const n=(0,t.OP)(r);n[g.Dz]=Math.max(Date.now()-n.offset,0),(0,f.K)((()=>n[g.qw]=Math.max((0,p.z)()-n[g.Dz],0))),(0,f.b)((()=>{const t=(0,p.z)();n[g.OJ]=Math.max(t-n[g.Dz],0),(0,s.p)("timing",["load",t],void 0,e.D.pageViewTiming,this.ee)}))}this.importAggregator()}}var v=i(1117),b=i(1284);class y extends v.w{constructor(e){super(e),this.aggregatedData={}}store(e,t,r,n,i){var o=this.getBucket(e,t,r,i);return o.metrics=function(e,t){t||(t={count:0});return t.count+=1,(0,b.D)(e,(function(e,r){t[e]=w(r,t[e])})),t}(n,o.metrics),o}merge(e,t,r,n,i){var o=this.getBucket(e,t,n,i);if(o.metrics){var a=o.metrics;a.count+=r.count,(0,b.D)(r,(function(e,t){if("count"!==e){var n=a[e],i=r[e];i&&!i.c?a[e]=w(i.t,n):a[e]=function(e,t){if(!t)return e;t.c||(t=x(t.t));return t.min=Math.min(e.min,t.min),t.max=Math.max(e.max,t.max),t.t+=e.t,t.sos+=e.sos,t.c+=e.c,t}(i,a[e])}}))}else o.metrics=r}storeMetric(e,t,r,n){var i=this.getBucket(e,t,r);return i.stats=w(n,i.stats),i}getBucket(e,t,r,n){this.aggregatedData[e]||(this.aggregatedData[e]={});var i=this.aggregatedData[e][t];return i||(i=this.aggregatedData[e][t]={params:r||{}},n&&(i.custom=n)),i}get(e,t){return t?this.aggregatedData[e]&&this.aggregatedData[e][t]:this.aggregatedData[e]}take(e){for(var t={},r="",n=!1,i=0;i t.max&&(t.max=e),e 2&&void 0!==arguments[2])||arguments[2];super(e,r,j.t,n),c.il&&((0,t.OP)(e).initHidden=Boolean("hidden"===document.visibilityState),(0,N.N)((()=>(0,s.p)("docHidden",[(0,p.z)()],void 0,j.t,this.ee)),!0),(0,O.bP)("pagehide",(()=>(0,s.p)("winPagehide",[(0,p.z)()],void 0,j.t,this.ee))),this.importAggregator())}}var P=i(3081);class C extends h{static featureName=P.t9;constructor(e,t){let r=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];super(e,t,P.t9,r),this.importAggregator()}}var R,I=i(2210),k=i(1214),H=i(2177),L={};try{R=localStorage.getItem("__nr_flags").split(","),console&&"function"==typeof console.log&&(L.console=!0,-1!==R.indexOf("dev")&&(L.dev=!0),-1!==R.indexOf("nr_dev")&&(L.nrDev=!0))}catch(e){}function z(e){try{L.console&&z(e)}catch(e){}}L.nrDev&&H.ee.on("internal-error",(function(e){z(e.stack)})),L.dev&&H.ee.on("fn-err",(function(e,t,r){z(r.stack)})),L.dev&&(z("NR AGENT IN DEVELOPMENT MODE"),z("flags: "+(0,b.D)(L,(function(e,t){return e})).join(", ")));var M=i(6660);class B extends h{static featureName=M.t;constructor(r,n){let i=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];super(r,n,M.t,i),this.skipNext=0;try{this.removeOnAbort=new AbortController}catch(e){}const o=this;o.ee.on("fn-start",(function(e,t,r){o.abortHandler&&(o.skipNext+=1)})),o.ee.on("fn-err",(function(t,r,n){o.abortHandler&&!n[M.A]&&((0,I.X)(n,M.A,(function(){return!0})),this.thrown=!0,(0,s.p)("err",[n,(0,p.z)()],void 0,e.D.jserrors,o.ee))})),o.ee.on("fn-end",(function(){o.abortHandler&&!this.thrown&&o.skipNext>0&&(o.skipNext-=1)})),o.ee.on("internal-error",(function(t){(0,s.p)("ierr",[t,(0,p.z)(),!0],void 0,e.D.jserrors,o.ee)})),this.origOnerror=c._A.onerror,c._A.onerror=this.onerrorHandler.bind(this),c._A.addEventListener("unhandledrejection",(t=>{const r=function(e){let t="Unhandled Promise Rejection: ";if(e instanceof Error)try{return e.message=t+e.message,e}catch(t){return e}if(void 0===e)return new Error(t);try{return new Error(t+(0,D.P)(e))}catch(e){return new Error(t)}}(t.reason);(0,s.p)("err",[r,(0,p.z)(),!1,{unhandledPromiseRejection:1}],void 0,e.D.jserrors,this.ee)}),(0,O.m$)(!1,this.removeOnAbort?.signal)),(0,k.gy)(this.ee),(0,k.BV)(this.ee),(0,k.em)(this.ee),(0,t.OP)(r).xhrWrappable&&(0,k.Kf)(this.ee),this.abortHandler=this.#e,this.importAggregator()}#e(){this.removeOnAbort?.abort(),this.abortHandler=void 0}onerrorHandler(t,r,n,i,o){"function"==typeof this.origOnerror&&this.origOnerror(...arguments);try{this.skipNext?this.skipNext-=1:(0,s.p)("err",[o||new F(t,r,n),(0,p.z)()],void 0,e.D.jserrors,this.ee)}catch(t){try{(0,s.p)("ierr",[t,(0,p.z)(),!0],void 0,e.D.jserrors,this.ee)}catch(e){}}return!1}}function F(e,t,r){this.message=e||"Uncaught error with no additional information",this.sourceURL=t,this.line=r}let U=1;const q="nr@id";function G(e){const t=typeof e;return!e||"object"!==t&&"function"!==t?-1:e===c._A?0:(0,I.X)(e,q,(function(){return U++}))}function V(e){if("string"==typeof e&&e.length)return e.length;if("object"==typeof e){if("undefined"!=typeof ArrayBuffer&&e instanceof ArrayBuffer&&e.byteLength)return e.byteLength;if("undefined"!=typeof Blob&&e instanceof Blob&&e.size)return e.size;if(!("undefined"!=typeof FormData&&e instanceof FormData))try{return(0,D.P)(e).length}catch(e){return}}}var X=i(7243);class W{constructor(e){this.agentIdentifier=e,this.generateTracePayload=this.generateTracePayload.bind(this),this.shouldGenerateTrace=this.shouldGenerateTrace.bind(this)}generateTracePayload(e){if(!this.shouldGenerateTrace(e))return null;var r=(0,t.DL)(this.agentIdentifier);if(!r)return null;var n=(r.accountID||"").toString()||null,i=(r.agentID||"").toString()||null,o=(r.trustKey||"").toString()||null;if(!n||!i)return null;var a=(0,_.M)(),s=(0,_.Ht)(),c=Date.now(),u={spanId:a,traceId:s,timestamp:c};return(e.sameOrigin||this.isAllowedOrigin(e)&&this.useTraceContextHeadersForCors())&&(u.traceContextParentHeader=this.generateTraceContextParentHeader(a,s),u.traceContextStateHeader=this.generateTraceContextStateHeader(a,c,n,i,o)),(e.sameOrigin&&!this.excludeNewrelicHeader()||!e.sameOrigin&&this.isAllowedOrigin(e)&&this.useNewrelicHeaderForCors())&&(u.newrelicHeader=this.generateTraceHeader(a,s,c,n,i,o)),u}generateTraceContextParentHeader(e,t){return"00-"+t+"-"+e+"-01"}generateTraceContextStateHeader(e,t,r,n,i){return i+"@nr=0-1-"+r+"-"+n+"-"+e+"----"+t}generateTraceHeader(e,t,r,n,i,o){if(!("function"==typeof c._A?.btoa))return null;var a={v:[0,1],d:{ty:"Browser",ac:n,ap:i,id:e,tr:t,ti:r}};return o&&n!==o&&(a.d.tk=o),btoa((0,D.P)(a))}shouldGenerateTrace(e){return this.isDtEnabled()&&this.isAllowedOrigin(e)}isAllowedOrigin(e){var r=!1,n={};if((0,t.Mt)(this.agentIdentifier,"distributed_tracing")&&(n=(0,t.P_)(this.agentIdentifier).distributed_tracing),e.sameOrigin)r=!0;else if(n.allowed_origins instanceof Array)for(var i=0;i 2&&void 0!==arguments[2])||arguments[2];super(r,n,Z.t,i),(0,t.OP)(r).xhrWrappable&&(this.dt=new W(r),this.handler=(e,t,r,n)=>(0,s.p)(e,t,r,n,this.ee),(0,k.u5)(this.ee),(0,k.Kf)(this.ee),function(r,n,i,o){function a(e){var t=this;t.totalCbs=0,t.called=0,t.cbTime=0,t.end=E,t.ended=!1,t.xhrGuids={},t.lastSize=null,t.loadCaptureCalled=!1,t.params=this.params||{},t.metrics=this.metrics||{},e.addEventListener("load",(function(r){_(t,e)}),(0,O.m$)(!1)),c.IF||e.addEventListener("progress",(function(e){t.lastSize=e.loaded}),(0,O.m$)(!1))}function s(e){this.params={method:e[0]},T(this,e[1]),this.metrics={}}function u(e,n){var i=(0,t.DL)(r);i.xpid&&this.sameOrigin&&n.setRequestHeader("X-NewRelic-ID",i.xpid);var a=o.generateTracePayload(this.parsedOrigin);if(a){var s=!1;a.newrelicHeader&&(n.setRequestHeader("newrelic",a.newrelicHeader),s=!0),a.traceContextParentHeader&&(n.setRequestHeader("traceparent",a.traceContextParentHeader),a.traceContextStateHeader&&n.setRequestHeader("tracestate",a.traceContextStateHeader),s=!0),s&&(this.dt=a)}}function d(e,t){var r=this.metrics,i=e[0],o=this;if(r&&i){var a=V(i);a&&(r.txSize=a)}this.startTime=(0,p.z)(),this.listener=function(e){try{"abort"!==e.type||o.loadCaptureCalled||(o.params.aborted=!0),("load"!==e.type||o.called===o.totalCbs&&(o.onloadCalled||"function"!=typeof t.onload)&&"function"==typeof o.end)&&o.end(t)}catch(e){try{n.emit("internal-error",[e])}catch(e){}}};for(var s=0;s 1?e[1]=i:e.push(i)}else e[0]&&e[0].headers&&s(e[0].headers,n)&&(this.dt=n);function s(e,t){var r=!1;return t.newrelicHeader&&(e.set("newrelic",t.newrelicHeader),r=!0),t.traceContextParentHeader&&(e.set("traceparent",t.traceContextParentHeader),t.traceContextStateHeader&&e.set("tracestate",t.traceContextStateHeader),r=!0),r}}function x(e,t){this.params={},this.metrics={},this.startTime=(0,p.z)(),this.dt=t,e.length>=1&&(this.target=e[0]),e.length>=2&&(this.opts=e[1]);var r,n=this.opts||{},i=this.target;"string"==typeof i?r=i:"object"==typeof i&&i instanceof Y?r=i.url:c._A?.URL&&"object"==typeof i&&i instanceof URL&&(r=i.href),T(this,r);var o=(""+(i&&i instanceof Y&&i.method||n.method||"GET")).toUpperCase();this.params.method=o,this.txSize=V(n.body)||0}function A(t,r){var n;this.endTime=(0,p.z)(),this.params||(this.params={}),this.params.status=r?r.status:0,"string"==typeof this.rxSize&&this.rxSize.length>0&&(n=+this.rxSize);var o={txSize:this.txSize,rxSize:n,duration:(0,p.z)()-this.startTime};i("xhr",[this.params,o,this.startTime,this.endTime,"fetch"],this,e.D.ajax)}function E(t){var r=this.params,n=this.metrics;if(!this.ended){this.ended=!0;for(var o=0;o 2&&void 0!==arguments[2])||arguments[2];super(e,t,we.t,r),this.importAggregator()}}new class{constructor(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:(0,_.ky)(16);c._A?(this.agentIdentifier=t,this.sharedAggregator=new y({agentIdentifier:this.agentIdentifier}),this.features={},this.desiredFeatures=new Set(e.features||[]),this.desiredFeatures.add(m),Object.assign(this,(0,a.j)(this.agentIdentifier,e,e.loaderType||"agent")),this.start()):(0,l.Z)("Failed to initial the agent. Could not determine the runtime environment.")}get config(){return{info:(0,t.C5)(this.agentIdentifier),init:(0,t.P_)(this.agentIdentifier),loader_config:(0,t.DL)(this.agentIdentifier),runtime:(0,t.OP)(this.agentIdentifier)}}start(){const t="features";try{const r=n(this.agentIdentifier),i=[...this.desiredFeatures];i.sort(((t,r)=>e.p[t.featureName]-e.p[r.featureName])),i.forEach((t=>{if(r[t.featureName]||t.featureName===e.D.pageViewEvent){const n=function(t){switch(t){case e.D.ajax:return[e.D.jserrors];case e.D.sessionTrace:return[e.D.ajax,e.D.pageViewEvent];case e.D.sessionReplay:return[e.D.sessionTrace];case e.D.pageViewTiming:return[e.D.pageViewEvent];default:return[]}}(t.featureName);n.every((e=>r[e]))||(0,l.Z)("".concat(t.featureName," is enabled but one or more dependent features has been disabled (").concat((0,D.P)(n),"). This may cause unintended consequences or missing data...")),this.features[t.featureName]=new t(this.agentIdentifier,this.sharedAggregator)}})),(0,T.Qy)(this.agentIdentifier,this.features,t)}catch(e){(0,l.Z)("Failed to initialize all enabled instrument classes (agent aborted) -",e);for(const e in this.features)this.features[e].abortHandler?.();const r=(0,T.fP)();return delete r.initializedAgents[this.agentIdentifier]?.api,delete r.initializedAgents[this.agentIdentifier]?.[t],delete this.sharedAggregator,r.ee?.abort(),delete r.ee?.get(this.agentIdentifier),!1}}}({features:[J,m,S,class extends h{static featureName=oe;constructor(t,r){if(super(t,r,oe,!(arguments.length>2&&void 0!==arguments[2])||arguments[2]),!c.il)return;const n=this.ee;let i;(0,k.QU)(n),this.eventsEE=(0,k.em)(n),this.eventsEE.on(se,(function(e,t){this.bstStart=(0,p.z)()})),this.eventsEE.on(ae,(function(t,r){(0,s.p)("bst",[t[0],r,this.bstStart,(0,p.z)()],void 0,e.D.sessionTrace,n)})),n.on(ce+ne,(function(e){this.time=(0,p.z)(),this.startPath=location.pathname+location.hash})),n.on(ce+ie,(function(t){(0,s.p)("bstHist",[location.pathname+location.hash,this.startPath,this.time],void 0,e.D.sessionTrace,n)}));try{i=new PerformanceObserver((t=>{const r=t.getEntries();(0,s.p)(te,[r],void 0,e.D.sessionTrace,n)})),i.observe({type:re,buffered:!0})}catch(e){}this.importAggregator({resourceObserver:i})}},C,xe,B,class extends h{static featureName=de;constructor(e,r){if(super(e,r,de,!(arguments.length>2&&void 0!==arguments[2])||arguments[2]),!c.il)return;if(!(0,t.OP)(e).xhrWrappable)return;try{this.removeOnAbort=new AbortController}catch(e){}let n,i=0;const o=this.ee.get("tracer"),a=(0,k._L)(this.ee),s=(0,k.Lg)(this.ee),u=(0,k.BV)(this.ee),d=(0,k.Kf)(this.ee),f=this.ee.get("events"),l=(0,k.u5)(this.ee),h=(0,k.QU)(this.ee),g=(0,k.Gm)(this.ee);function m(e,t){h.emit("newURL",[""+window.location,t])}function v(){i++,n=window.location.hash,this[ve]=(0,p.z)()}function b(){i--,window.location.hash!==n&&m(0,!0);var e=(0,p.z)();this[pe]=~~this[pe]+e-this[ve],this[ye]=e}function y(e,t){e.on(t,(function(){this[t]=(0,p.z)()}))}this.ee.on(ve,v),s.on(be,v),a.on(be,v),this.ee.on(ye,b),s.on(ge,b),a.on(ge,b),this.ee.buffer([ve,ye,"xhr-resolved"],this.featureName),f.buffer([ve],this.featureName),u.buffer(["setTimeout"+le,"clearTimeout"+fe,ve],this.featureName),d.buffer([ve,"new-xhr","send-xhr"+fe],this.featureName),l.buffer([me+fe,me+"-done",me+he+fe,me+he+le],this.featureName),h.buffer(["newURL"],this.featureName),g.buffer([ve],this.featureName),s.buffer(["propagate",be,ge,"executor-err","resolve"+fe],this.featureName),o.buffer([ve,"no-"+ve],this.featureName),a.buffer(["new-jsonp","cb-start","jsonp-error","jsonp-end"],this.featureName),y(l,me+fe),y(l,me+"-done"),y(a,"new-jsonp"),y(a,"jsonp-end"),y(a,"cb-start"),h.on("pushState-end",m),h.on("replaceState-end",m),window.addEventListener("hashchange",m,(0,O.m$)(!0,this.removeOnAbort?.signal)),window.addEventListener("load",m,(0,O.m$)(!0,this.removeOnAbort?.signal)),window.addEventListener("popstate",(function(){m(0,i>1)}),(0,O.m$)(!0,this.removeOnAbort?.signal)),this.abortHandler=this.#e,this.importAggregator()}#e(){this.removeOnAbort?.abort(),this.abortHandler=void 0}}],loaderType:"spa"})})(),window.NRBA=o})(); window.jQuery || document.write(' ') CKEDITOR_BASEPATH='https://f1000research.com/js/vendor/ckeditor/' window.reactTheme = 'research'; window.MathJax = { CommonHTML: { linebreaks: { automatic: true } }, 'HTML-CSS': { linebreaks: { automatic: true } }, SVG: { linebreaks: { automatic: true } }, AuthorInit: function() { MathJax.Hub.Register.MessageHook('End Process', function () { let timeout = false; // holder for timeout id const delay = 250; // delay after event is "complete" to run callback const reflowMath = function() { const dispFormulas = document.querySelectorAll('.disp-formula.panel'); if (!dispFormulas) { return; } for (const dispFormula of dispFormulas) { const child = dispFormula.querySelector('.MathJax_Preview').nextSibling.firstChild; const isMultiline = MathJax.Hub.getAllJax(dispFormula)[0].root.isMultiline; if (dispFormula.offsetWidth < child.offsetWidth || isMultiline) { MathJax.Hub.Queue(['Rerender', MathJax.Hub, dispFormula]); } } }; window.addEventListener('resize', function() { clearTimeout(timeout); // clear the timeout timeout = setTimeout(reflowMath, delay); // start timing for event "completion" }); }); }, }; if (window.location.hash == '#_=_'){ window.location = window.location.href.split('#')[0] } !function(f,b,e,v,n,t,s){if(f.fbq)return;n=f.fbq=function() {n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments)} ;if(!f._fbq)f._fbq=n; n.push=n;n.loaded=!0;n.version='2.0';n.queue=[];t=b.createElement(e);t.async=!0; t.src=v;s=b.getElementsByTagName(e)[0];s.parentNode.insertBefore(t,s)}(window, document,'script','https://connect.facebook.net/en_US/fbevents.js'); fbq('init', '1641728616063202'); fbq('track', "PixelInitialized", {}); (function(h,o,t,j,a,r){ h.hj=h.hj||function(){(h.hj.q=h.hj.q||[]).push(arguments)}; h._hjSettings={hjid:2318163,hjsv:6}; a=o.getElementsByTagName('head')[0]; r=o.createElement('script');r.async=1; r.src=t+h._hjSettings.hjid+j+h._hjSettings.hjsv; a.appendChild(r); })(window,document,'https://static.hotjar.com/c/hotjar-','.js?sv='); search file_upload Submit your research search menu close search Browse Gateways & Collections How to Publish Submit your Research My Submissions Article Guidelines Article Guidelines (New Versions) Open Data, Software and Code Guidelines Open Data and Accessible Source Materials Guidelines (HSS) Open Data, Software and Code Guidelines (PSE) Prepublication Checks Production Process Posters and Slides Guidelines Document Guidelines Article Processing Charges Peer Review Finding Article Reviewers About How it Works For Reviewers Our Advisors Policies Glossary FAQs For Developers Newsroom Contact My Research Submissions Content and Tracking Alerts My Details Sign In file_upload Submit your research { "@context": "https://schema.org", "@type": "ScholarlyArticle", "mainEntityOfPage": { "@type": "WebPage", "@id": "https://f1000research.com/articles/11-851" }, "headline": "Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes", "datePublished": "2022-07-28T11:59:01", "dateModified": "2024-06-11T16:55:54", "author": [ { "@type": "Person", "name": "Budi Baktijasa Dharmadjati" }, { "@type": "Person", "name": "Djanggan Sargowo" }, { "@type": "Person", "name": "Aulanni’am ." }, { "@type": "Person", "name": "Budi Susetyo Pikir" }, { "@type": "Person", "name": "Yudi Her Oktaviono" }, { "@type": "Person", "name": "Oryza Sativa" }, { "@type": "Person", "name": "Kandita Arjani" }, { "@type": "Person", "name": "Ricardo Adrian Nugraha" } ], "publisher": { "@type": "Organization", "name": "F1000Research", "logo": { "@type": "ImageObject", "url": "https://f1000research.com/img/AMP/F1000Research_image.png", "height": 480, "width": 60 } }, "image": { "@type": "ImageObject", "url": "https://f1000research.com/img/AMP/F1000Research_image.png", "height": 1200, "width": 150 }, "description": " Background There is an essential need for cardiomyocyte regeneration among patients with heart failure. Transplantation of dedifferentiated fat (DFAT) cells may lead to an improvement of cardiomyocyte regeneration among heart failure patients. We believe that DFAT cells are promising candidate cell sources for cardiac regeneration. However, the pathway underlying how DFAT cells of the adipose lineage differentiate into mature cardiomyocytes isn’t fully understood. Methods We conducted an experimental laboratory study on isolated DFAT cells from adipose tissue of healthy adults. Then, we treated cells with different concentrations of reversine (10, 20 and 40 nM), and performed RNA extraction and cDNA synthesis. Next, we used a ceiling culture method based on the buoyancy properties of mature lipid-filled adipocytes. Stemness expression (Octamer-binding transcription factor 4 [Oct4], brachyury, Fetal liver kinase 1 [Flk-1]) was quantified by reverse transcription-quantitative (RT-q)PCR, while cardiomyocyte expression (Transcription factor GATA-4 [GATA4] and cardiac troponin T [cTnT]) was quantified by immunocytochemistry. Results ANOVA with Tukey’s post-hoc found that 10 nM reversine increased greater Flk-1 expression compared to the control group (MD: 5.037 + 0.998; p < 0.001), but there were no significant changes among Oct4 (MD: 0.013 + 1.244; p = 0.99) and brachyury expression (MD: 0.157 + 0.084; p = 0.252). Kruskal-Wallis revealed that the expression of GATA4 (1.65 [0.41-1.98] to 0.015 [0.007-0.034]; p =0.017) reduced significantly from day 7 until day 21 and cTnT (5.07 [6.62-8.91] to 8.22 [6.81-9.40]; p= 0.001) increased significantly from day 7 until day 21. Conclusions Reversine could increase the expression of Flk-1, but it was unable to stimulate the expression of Oct4 and brachyury related to cell stemness. An optimal concentration of 10 nM reversine may have the greatest effect on enhancing the differentiation of DFAT cells into mature cardiomyocytes, as indicated by higher cTnT expression between cells. " } { "@context": "http://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": "1", "item": { "@id": "https://f1000research.com/", "name": "Home" } }, { "@type": "ListItem", "position": "2", "item": { "@id": "https://f1000research.com/browse/articles", "name": "Browse" } }, { "@type": "ListItem", "position": "3", "item": { "@id": "https://f1000research.com/articles/11-851/v3", "name": "Reversine enhances the conversion of dedifferentiated fat cells into..." } } ] } Home Browse Reversine enhances the conversion of dedifferentiated fat cells into... ALL Metrics - Views Downloads Get PDF Get XML Cite How to cite this article Dharmadjati BB, Sargowo D, . A et al. Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.12688/f1000research.122788.3 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. Close Copy Citation Details Export Export Citation Sciwheel EndNote Ref. Manager Bibtex ProCite Sente EXPORT Select a format first Track Share ▬ ✚ Research Article Revised Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] Previously titled: Effects of different concentrations of reversine to enhance conversion of dedifferentiated fat cells into mature cardiomyocytes Budi Baktijasa Dharmadjati 1,2 , Djanggan Sargowo 1,3 , Aulanni’am . https://orcid.org/0000-0002-8715-4592 1,4 , [...] Budi Susetyo Pikir https://orcid.org/0000-0003-0705-9462 2 , Yudi Her Oktaviono https://orcid.org/0000-0002-2350-2789 2 , Oryza Sativa 2 , Kandita Arjani 2 , Ricardo Adrian Nugraha https://orcid.org/0000-0003-0648-0829 2 Budi Baktijasa Dharmadjati 1,2 , Djanggan Sargowo 1,3 , [...] Aulanni’am . https://orcid.org/0000-0002-8715-4592 1,4 , Budi Susetyo Pikir https://orcid.org/0000-0003-0705-9462 2 , Yudi Her Oktaviono https://orcid.org/0000-0002-2350-2789 2 , Oryza Sativa 2 , Kandita Arjani 2 , Ricardo Adrian Nugraha https://orcid.org/0000-0003-0648-0829 2 PUBLISHED 11 Jun 2024 Author details Author details 1 Doctoral Programme in Biomedical Sciences, Faculty of Medicine, Brawijaya University, Malang, East Java, 65145, Indonesia 2 Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Dr. Soetomo Academic General Hospital, Surabaya, East Java, 60286, Indonesia 3 Department of Cardiology and Vascular Medicine, Faculty of Medicine, Brawijaya University, Malang, East Java, 65145, Indonesia 4 Biochemistry Laboratory, Department of Chemistry, Faculty of Sciences, Brawijaya University, Malang, East Java, 65145, Indonesia Budi Baktijasa Dharmadjati Roles: Conceptualization, Data Curation, Funding Acquisition, Project Administration, Resources, Writing – Original Draft Preparation Djanggan Sargowo Roles: Software, Supervision, Validation, Visualization, Writing – Review & Editing Aulanni’am . Roles: Software, Supervision, Validation, Visualization, Writing – Review & Editing Budi Susetyo Pikir Roles: Data Curation, Formal Analysis, Methodology, Software Yudi Her Oktaviono Roles: Project Administration, Software, Visualization Oryza Sativa Roles: Data Curation, Formal Analysis Kandita Arjani Roles: Data Curation, Investigation, Resources Ricardo Adrian Nugraha Roles: Formal Analysis, Writing – Original Draft Preparation OPEN PEER REVIEW DETAILS REVIEWER STATUS This article is included in the Cell & Molecular Biology gateway. Abstract Background There is an essential need for cardiomyocyte regeneration among patients with heart failure. Transplantation of dedifferentiated fat (DFAT) cells may lead to an improvement of cardiomyocyte regeneration among heart failure patients. We believe that DFAT cells are promising candidate cell sources for cardiac regeneration. However, the pathway underlying how DFAT cells of the adipose lineage differentiate into mature cardiomyocytes isn’t fully understood. Methods We conducted an experimental laboratory study on isolated DFAT cells from adipose tissue of healthy adults. Then, we treated cells with different concentrations of reversine (10, 20 and 40 nM), and performed RNA extraction and cDNA synthesis. Next, we used a ceiling culture method based on the buoyancy properties of mature lipid-filled adipocytes. Stemness expression (Octamer-binding transcription factor 4 [Oct4], brachyury, Fetal liver kinase 1 [Flk-1]) was quantified by reverse transcription-quantitative (RT-q)PCR, while cardiomyocyte expression (Transcription factor GATA-4 [GATA4] and cardiac troponin T [cTnT]) was quantified by immunocytochemistry. Results ANOVA with Tukey’s post-hoc found that 10 nM reversine increased greater Flk-1 expression compared to the control group (MD: 5.037 + 0.998; p < 0.001), but there were no significant changes among Oct4 (MD: 0.013 + 1.244; p = 0.99) and brachyury expression (MD: 0.157 + 0.084; p = 0.252). Kruskal-Wallis revealed that the expression of GATA4 (1.65 [0.41-1.98] to 0.015 [0.007-0.034]; p = 0.017) reduced significantly from day 7 until day 21 and cTnT (5.07 [6.62-8.91] to 8.22 [6.81-9.40]; p = 0 .001) increased significantly from day 7 until day 21. Conclusions Reversine could increase the expression of Flk-1, but it was unable to stimulate the expression of Oct4 and brachyury related to cell stemness. An optimal concentration of 10 nM reversine may have the greatest effect on enhancing the differentiation of DFAT cells into mature cardiomyocytes, as indicated by higher cTnT expression between cells. READ ALL READ LESS Keywords Cardiomyocyte, cTnT, DFAT cells, GATA4, Reversine Corresponding Author(s) Budi Baktijasa Dharmadjati ( [email protected] ) Close Corresponding author: Budi Baktijasa Dharmadjati Competing interests: No competing interests were disclosed. Grant information: The author(s) declared that no grants were involved in supporting this work. Copyright: © 2024 Dharmadjati BB et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How to cite: Dharmadjati BB, Sargowo D, . A et al. Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.12688/f1000research.122788.3 ) First published: 28 Jul 2022, 11 :851 ( https://doi.org/10.12688/f1000research.122788.1 ) Latest published: 11 Jun 2024, 11 :851 ( https://doi.org/10.12688/f1000research.122788.3 ) Revised Amendments from Version 2 - There is slight rephrase of the title - There are several grammatical improvement - Merged and shortened sections of Aim / Objectives - There is correction for several symbols such as µ which is missing - Correction for several discrepancies between text and table - Merged and deleted several subsections in the Results - Information regarding the use of 6 th cell passage treatments for data analysis and figures - Correction for Figure 2. caption - Correction for Figure 2, 3, 4, and 5 regarding the standard deviation bars and p values clearer, as a comparison between each group of intervention, not between day - Additional citation and references number 7 [Mitrečić D.et.al., 2022] - There is slight rephrase of the title - There are several grammatical improvement - Merged and shortened sections of Aim / Objectives - There is correction for several symbols such as µ which is missing - Correction for several discrepancies between text and table - Merged and deleted several subsections in the Results - Information regarding the use of 6 th cell passage treatments for data analysis and figures - Correction for Figure 2. caption - Correction for Figure 2, 3, 4, and 5 regarding the standard deviation bars and p values clearer, as a comparison between each group of intervention, not between day - Additional citation and references number 7 [Mitrečić D.et.al., 2022] See the authors' detailed response to the review by Jelena Milasin See the authors' detailed response to the review by Francesco Galli READ REVIEWER RESPONSES Abbreviations ACE: Angiotensin Converting Enzyme ASCs: Adipose derived Stem Cells BMSCs: Bone Marrow Mesenchymal Stem Cells CMC: Cardiac Mesodermal Cell CPC: Cardiac Progenitors Cell cTnT: Cardiac troponin T DFAT: Dedifferentiated Fat Cell END-2: Endoderm-like cell line ESCs: Embryonic Stem Cells EPCs: Endothelial Progenitor Cells FBS: Fetal Bovine Serum Flk-1: Fetal Liver Kinase 1 HAT: Histone Acetylation Transferase HeSCs: Human Embryonic Stem Cells hMSC: human Mesenchymal Stem Cell HSCs: Hematopoietic Stem Cells HSC: Hepatic Stellate Cell iPSC: Induced Pluripotent Stem Cells MEK: Mitogen activated extra cellular signal regulated kinase MPC: Mesodermal Progenitor Cell MPS1: Mono-polar Spindle 1 MSC: Mesenchymal Stem Cell μMM: Non-Muscle Myosin II Oct4: Octamer-binding transcription factor 4 PBS: Phosphate Buffer Saline PSC: Pluripotent Stem Cell SVF: Stromal Vascular Fraction TMSC: Tonsil Mediated Stem Cell UVSCs: Umbilical Vein Stem Cells Introduction Heart failure is a complex health problem due to its high morbidity and mortality, so a definite and efficient approach to heart failure is a long-term hope and goal in the development of heart disease therapy. The population of those with heart failure increases as the number of older individuals grows and life expectancy generally increases due to the advances in pharmacology, interventions, and cardiac surgery. Classic interventions focus on controlling factors that might worsen cardiac function. These interventions do not solve the real problem, because widespread and progressive cardiomyocyte dysfunction has still taken place. Thus, novel approaches that modify the remodelling process, focus on the regeneration of cardiomyocytes, and improve the performance of cardiomyocytes are required. 1 Regenerative medicine combines an interdisciplinary research and clinical application that aims to repair, replace, and/or regenerate cells, tissues and/or organs to restore disturbed function. 1 , 2 These approaches include, but are not limited, to the use of small and/or soluble molecule, gene therapy, stem cell-based therapy, organ tissue engineering, and reprogramming of cells. 3 , 4 As a precursor for stem cell harvesting in cell-based therapy, adipose tissue has unique advantages in terms of abundant availability, ease of isolation, high degree of homogeneity, and decent ability to differentiate into multipotent cells. 5 , 6 The identification of an ideal cell source for tissue regeneration remains a challenge in the stem cell field. 7 With the current development of isolation and culture techniques, ceiling culture and insert culture will produce adipose-derived stem cells (ASCs) with a higher quantity of dedifferentiated fat (DFAT) cells. 8 , 9 Similar to ASCs, DFAT cells have been proven to be able to differentiate into various cells in the mesenchymal lineage. 10 , 11 DFAT cells have plasticity to differentiate into several cell types derived from the three germ layers, including skeletal myoblasts, 12 vascular endothelial cells, 13 neurons, 14 and urethral smooth muscle cells. 15 DFAT cells are a population of cells which can be safely harvested from patients. Due to their low immunogenicity and reported benefits, they are already being recognized as approved therapeutic product. They were demonstrated to be safe but their effects were not always consistent, as preclinical studies suggested. 7 This may be due to poor survival in disease environments and/or their limited ability to differentiate into other cell types, which is important for the processes of tissue reconstruction and tissue engineering and has clinical, biochemical or molecular implications. 7 Reversine is a purine-derived small molecule that has been shown to be able to induce the dedifferentiation of unipotent myoblast cells to progenitor cells, which are multipotent. 16 , 17 Reversine as an inductor of cell dedifferentiation that has the ability to increase the potency of a cell, so that the cell can be directed to differentiate into another cell in the same lineage or even from a different lineage with exposure to the appropriate stimulus and medium. 18 , 19 To date there has been no research that proves the effect of reversine on the process of further dedifferentiation of adipocyte cells, which causes a reduction in the commitment lineage so that it can be relatively more easily directed towards target cells, so this study aims to analyse the effect of reversine exposure and differences in passages of DFAT cells related to their differentiation into cardiomyocytes, characterized by the expression of the marker Transcription factor GATA-4 (GATA4) and cardiac troponin T (cTnT). We performed a pilot study to understand the optimal concentration of reversine to maximise the potency of DFAT cell dedifferentiation into cardiac progenitor stem cells. We used different concentrations of reversine (10, 20 and 40 nM) in the DFAT cell cultures. Methods Ethical approval Our study obtained a letter of approval from Health Research Ethics Council of Faculty of Medicine, Universitas Airlangga (reference number: 062/EC/KEPK/FKUA/2021) issued on March 22 nd 2021, under the name of Budi Baktijasa Dharmadjati as the principal investigator. All procedures were approved by the relevant ethics committees, and written informed consent was obtained from all study participants. Study design The study design is an observational, analytical laboratory study using different concentrations of reversine in DFAT cell cultures from human adipose tissue from a 39 years-old woman. This type of analytical laboratory study is a post-test only controlled group design. The independent variables consist of various concentrations of reversine (10, 20, 40 nM). The dependent variables consist of the expression of cell stemness biomarkers (Octamer-binding transcription factor 4 [Oct4], brachyury, Fetal liver kinase 1 [Flk-1]), early cardiomyocytes (GATA4) and mature cardiomyocytes (cTnT). Study setting Our research was conducted at Institute of Stem Cell Laboratory Airlangga University, Suraaya, East Java and Dr. Soetomo General Academic Hospital, Surabaya, East Java. The duration between study enrolment until data completion lasted for 12 months. Number of replications The number of replicates that will produce this interval half-length according to Berthouex and Brown (2002) 20 is: n = Z α 2 σ E 2 This formula assumes random sampling. It also assumes that n is large enough that the normal distribution can be used to define the confidence interval. Then, the number of replications for each group is four, so the total sample needed is 16 replications. Materials 1. DFAT cells from adipose tissue were collected from the lower abdominal area of patients during laparoscopic surgery with small incisions (3-5 cm) under local anaesthesia by a digestive surgeon. Cells were collected from adult patients who were in a stable condition and were not taking anti-platelets or anti-coagulants. Patient was prepared for clinical application of stem cell therapy at the Network Bank Dr. Soetomo General Hospital, Surabaya. DFAT cells were multiplied in vitro at the 3 rd and 6 th passage. 2. Reversine (2-(4-morpholinoanilino)-6-cyclohexylaminopurine) is an Aurora kinase inhibitor that is able to dedifferentiate DFAT cells into mesodermal stem cells. The control group (P0) had four culture cells and were not treated with reversine. The treatment groups (REV10, REV20, REV40) included 12 culture cells treated with different concentrations of reversine (10, 20 and 40 nM). 3. Washing buffer containing phosphate-buffered saline (Sigma-Aldrich, Milan, Italy), 0.1% sodium azide (Sigma-Aldrich, Milan, Italy), and 0.5% bovine serum albumin (BSA) Sigma-Aldrich, Milan, Italy) was used for all washing steps (3 ml washing buffer and centrifugation, 400 × g for 8 minutes at 4°C). Briefly, 5×10 5 cells/sample were incubated with 100 ml of 20 mM ethylene-diaminetetraacetic acid (EDTA, Sigma-Aldrich) at 37°C for 10 minutes and washed. 4. Proliferation media with α-Minimum Essential Medium (MEM) (Sigma-Aldrich, Milan, Italy), which contains non-essential amino acids, sodium pyruvate, lipoic acid, vitamin B12, biotin, and ascorbic acid. 5. Differentiation media with CDM3-C medium (with CHIR99021) (Sigma-Aldrich, Milan, Italy). 6. Transport media with 3% gentamicin (Thermo Fisher Scientific, Inc., Waltham, MA, USA) 7. Type 1 Collagenase (Worthington Biochemical Corporation, Lakewood, NJ, USA) 8. Triple express, trypan blue and PSC Cardiomyocyte Differentiation Kit (Gibco, Thermo Fisher Scientific, Inc., Waltham, MA, USA) 9. Mouse IgG Monoclonal Antibody against Cardiac troponin T Recombinant (1:300 dilution; LSBio (LifeSpan) Cat# LS-C89784-200, RRID:AB_1936961) and F(ab')2-Goat anti-Rabbit IgG (H+L) Cross-Adsorbed Secondary Antibody, Alexa Fluor™ Plus 488 (Thermo Fisher Scientific Cat# A48282, RRID:AB_2896345) 10. Anti-Rabbit GATA4 Polyclonal Antibody (1:100 dilution; Thermo Fisher Scientific, Inc., Waltham, MA, USA: Catalog # BS-1778R) and F(ab')2-Goat anti-Rabbit IgG (H+L) Cross-Adsorbed Secondary Antibody, Alexa Fluor™ Plus 488 (Thermo Fisher Scientific Cat# A48282, RRID:AB_2896345) 11. 2 mL aspiration pipettes individually wrapped (Greiner, cat. no. 710183) 12. 5, 10, 25 mL pipettes sterile, individually wrapped (Corning Falcon, cat. nos. 357543, 357551, 357535) 13. 250-, 500-, and 1,000-mL PES 0.2 μm filters (Thermo Scientific Nalgene, cat. no. 568-0020, 569-0020, 567-0020) 14. 100 μm cell strainer (Corning Falcon, cat. no. 352360) 15. 0.6 mL sterile microtubes (E&K Scientific, cat. no. 280060-S) 16. 2 mL sterile microtubes (E&K Scientific, cat. no. 280200-S) 17. 100 mL glass beaker (Fisher Scientific) Experiments Collection and isolation of DFAT cells from adipose tissue Adipose tissue obtained from loose subcutaneous tissue through abdominoplasty procedure with a size of ~3x3 cm with an estimated weight of 10 g and stored in a 50 mL conical tube. Adipose tissue was minced into small pieces and dissociated with 0.1% (w/v) collagenase, then sent to the laboratory using a container containing an ice pack at a temperature of 4°C without the addition of other cryopreservation agents. When the tissue was received in the laboratory, the adipocyte tissue was put into a 50 mL plastic tube to be washed with D-PBS (-) twice at room temperature. The tissue was then placed into a 10 cm glass petri dish, then chopped until smooth. Insert culture strategy was performed to collect mature lipid-filled adipocytes based on the property of buoyancy. Approximately 1 g adipose tissue was chopped and mixed into 0.1% collagenase solution (type I collagenase) at 37°C for 1 hour with stirring/shaking slowly. After centrifugation at 135 × g for 3 minutes, the supernatant layer containing DFAT cells floated on the culture medium or plastic tube to allow other non-adipocytes to separate and sink to the bottom and can be discarded after centrifugation, then filtered using a nylon filter (core size 100 m). Adipose was then washed repeatedly (3 times) in MEM supplemented with 20% foetal bovine serum (FBS) before further use. A total of 30 µL was then transferred to 6-well plates with 70 µm filters and incubated for 5 days in MEM. DFAT cells from adipocytes will sink through the filter and stick to the bottom of the dish. The filter and residual adipocytes were discarded after day 5. Cells were treated with different concentrations of reversine (10, 20 and 40 nM). Reversine (StemCell Technologies) at a dose of 10, 20 and 40 nM was administered to DFAT cell sub-groups passage 3 and 6 on the first day of DFAT cells entering the passage. Then, DFAT cells were incubated for 15 minutes at room temperature. RNA extraction and cDNA synthesis For extraction of RNA, single cell pellets from each well in the first group were transferred to a conical tube for further centrifugation at 13,000 rpm for 3 minutes (Wisespin CF10, WISD). The pellets formed were separated and 200 μL liquid was left in the tube. Pellets were rinsed with PBS, then 560 µL prepared Buffer AVL containing carrier RNA (QiAmp ® Viral RNA Kit) were added into a 1.5 mL microcentrifuge tube. Vortexing (Wisemix VM-10, WISD) was performed for 15 seconds followed by spin down (Vision VS-100 BN) before incubation at room temperature for 15 minutes. After the incubation process was completed, 600 μL of 96% ethanol was added to the sample tube. Vortexing was again performed for 15 seconds followed by spin down. The solution in the tube was then transferred to a spin column and centrifuged at 8,000 rpm for 1 minute. After the supernatant layer was removed, the contents of the tube were transferred to a 2 mL collection tube. Wash buffer AW1 was added to the collection tube before centrifugation at 8,000 rpm for 1 minute. After rinsing with wash buffer 2, the supernatant layer was removed and centrifuged at 12,000 rpm for 1 minute in order to dry the filter, with a target concentration in the filter of 1-2 ng/μL. Then the solution was transferred to a 1.5 mL tube and 60 μL AVE buffer was added. After incubation at room temperature for 3 minutes, centrifugation was carried out at 8,000 rpm for 1 minute. The solution was then stored in a collecting tube in a cooler at -20°C. For cDNA synthesis, the RNA samples and reagents were thawed at room temperature and the PCR tubes were prepared and labelled. Vortexing was carried out to ensure that the solution mixture was homogeneous, and a spin down process was carried out to ensure that all liquids remained at the bottom. A total of 2 µL reagent was added to the PCR tube, then 3 µL RNA sample was added to the same PCR tube. After vortexing and spin down, the next tube was inserted into the PCR machine at 70°C for 5 minutes. cDNAs were generated from 1 mg total RNA and amplified using the ReverTra Ace qPCR-RT Kit (Toyobo, Osaka, Japan) according to the manufacturer’s instructions. Reverse transcription-quantitative (RT-q)PCR Quantification of cell stemness expression (Oct4, brachyury, Flk-1) was performed via RT-qPCR. Primer sequences of Oct4, brachyury and Flk-1 can be seen in Table 1 . Primer reagent (0.5 μL) with nuclease-free water (1.5 μL) were vortexed and span down at 70°C for 5 minutes. Another reagent consisted of 4 μL Go Script buffer, 4 μL MgCl 2 , 1 μL PCR Nucleotides, 1 μL Reverse transcriptase, 0.5 μL RNA sin and 4.5 μL nuclease-free water. A concentration of 7.5 pmoles/μL primer reagent was resuspended with the primer pairs in 50 μL autoclaved deionized water and 0.1X TE buffer (1 mM Tris HCl, pH 8.0 at 25°C; 0.1 mM EDTA, pH 8.0 at 25°C). After the PCR reaction process was completed, the cDNA samples were stored in a refrigerator at -20°C. Expression was quantified using the 2 -ΔΔCt method and the fold-difference of expression levels of genes were calculated and compared in cycle threshold (Ct) values. 21 The melting curve was generated immediately after amplification by holding the reaction mixture at 95°C for 60 seconds, and then lowering the temperature to 45°C at a transition rate of 0.1°C/second and maintained for 120 seconds. Then, the samples were heated slowly at a transition rate of 0.05 to 80°C with continuous collection of fluorescence at 640 nm. Table 1. Sequences of primer pairs for reverse transcription-quantitative PCR. Primers Primer sequences Size (bp) Oct4 F 5’-CCTGAAGCAGAAGAGGATCACC-3’ R 5’-AAAGCGGCAGATGGTCGTTTGG -3’ 144 Brachyury F 5’-CCTCGAATCCACATAGTGAGAG-3’ R 5’-AAGAGCTGTGATCTCCTCGT-3’ 117 Flk-1 F 5’-ATGCACGGCATCTGGGAATC-3’ R 5’-GTCACTGTCCTGCAAGTTGCTGTC-3’ 573 Immunocytochemistry Quantification of cardiomyocyte expression (GATA4 and cTnT) was performed by immunocytochemistry. Assessment of the expression of the differentiation marker of GATA and cTnT in DFAT culture at this stage using the FITC-labelled immunocytochemical method, was carried out on days 7, 14 and 21 after the cells were exposed to differentiation medium. DFAT cells were incubated with a target unmasking fluid (Accurate Chemical & Scientific Corp., Westbury, NY, USA) for 15 minutes using a microwave oven for antigen retrieval. The slides were reconstituted in PBS, pH 7.4 and blocked with 10% normal goat serum (v/v). For double staining, the slides were incubated with Anti-Rabbit GATA4 Polyclonal Antibody (1:100 dilution; Thermo Fisher Scientific, Inc., Waltham, MA, USA: Catalog # BS-1778R) and Mouse IgG Monoclonal Antibody against Cardiac troponin T Recombinant (1:300 dilution; LSBio (LifeSpan) Cat# LS-C89784-200, RRID:AB_1936961) at 4°C overnight and then washed three times with PBS. Some of the sections were incubated with 1% BSA as negative controls. Next, the sections were incubated with F(ab')2-Goat anti-Rabbit IgG (H+L) Cross-Adsorbed Secondary Antibody, Alexa Fluor™ Plus 488 (Thermo Fisher Scientific Cat# A48282, RRID:AB_2896345) respectively, for 1 h at 25°C (room temperature). This was followed by incubation with DAPI (Vector Laboratories). The incubated monolayer cells were fixed with 4% formalin buffer for 15 minutes, then the object glass was washed with PBS and dried. Followed by blocking with 10% PBS for 15 minutes. Immunocytochemistry in the DFAT preparation was intended to observe the expression of cTnT where the cells were then incubated with fluorophore-labelled secondary antibody with F(ab')2-Goat anti-Rabbit IgG (H+L) Cross-Adsorbed Secondary Antibody, Alexa Fluor™ Plus 488 (Thermo Fisher Scientific Cat# A48282, RRID:AB_2896345). The staining process was carried out in a dark room because it was sensitive to light, then incubated at 37°C for 1 hour and then observed using an excitation filter of 450–560 nm under a fluorescence microscope (Nikon) at a magnification of 200×. Data analysis We analysed the association between various concentrations of reversine (10, 20 and 40 nM) with the expression of cell stemness biomarkers (Oct4, brachyury, Flk-1 gene expression), and early cardiomyocyte (GATA4) and mature cardiomyocyte (cTnT) markers from the 6 th cell passage. Firstly, we did a normality test using Shapiro-Wilk test. For normally distributed data, we performed a comparison test using Analysis of Variance (ANOVA) with Tukey’s post-hoc analysis. For data that was not normally distributed, we performed Kruskal Wallis followed by a Mann-Whitney U test. Path analysis was carried out using multiple linear regression to determine the pathway mechanism of the influence of the concentration of reversine on the dedifferentiation of DFAT cells and differentiation into mature cardiomyocytes. Statistical tests were performed using IBM SPSS Statistics (RRID:SCR_016479) version 25.0 software. Results Characterization of DFAT cells as mesenchymal stem cells The surface markers used in the DFAT cell characterization process were CD90 and CD105, which are specific markers for mesenchymal stem cells, and CD45 and CD34, which are specific markers for hematopoietic cells. Examination by immunocytochemistry showed that the DFAT cell population showed positive expression (>95% luminescence of cells per field of view) of CD105 and CD90 and negative expression (<2% luminescence per field of view) of CD45 and CD34 ( Figure 1 ). 22 – 24 Figure 1. Immunocytochemistry images of mesenchymal stem cell surface markers. REV, reversine. Analysis of RT-qPCR for gene expression of DFAT (Oct4, brachyury, and Flk-1) DFAT cells were analysed using the RT-qPCR method on days 3, 5, and 7. The mean data from the experiment from the 6 th cell passage is in Table 2 . As seen in Table 2 , the REV10, REV20, and REV40 groups had a lower mean value of Oct4 gene expression compared with group K. Similarly, for the mean expression of brachyury gene expression, all reversine groups had lower values than the control group. The opposite occurred for Flk-1 gene expression, where reversine groups always have higher mean value than control group, with REV10 and REV40 had the highest value of Flk-1 gene expression. Analysis using the ANOVA test showed that there were significant differences in the mean values of gene expression (Oct4, brachyury, and Flk-1) at each reversine dose (REV10, REV20, and REV40) as can be seen in Table 2 . Table 2. Mean value and ANOVA for Oct4, Brachyury, and Flk-1 gene expression based on the concentration of reversine. Group Mean SD Mean Square Sig. (ANOVA) Oct4 Control 1.00 0.00 1.839 <0.001 REV10 0.98 0.39 REV20 0.62 0.45 REV40 0.17 0.94 Brachyury Control 1.00 0.00 1.878 <0.001 REV10 0.84 0.18 REV20 0.37 0.35 REV40 0.15 0.96 Flk-1 Control 1.00 0.00 99.574 <0.001 REV10 1.03 0.89 REV20 1.01 0.00 REV40 1.03 0.26 The mean value for Oct4 gene expression from the 6 th cell passage showed a decreasing trend with the addition of reversine. There was a statistically significant difference between the concentration of reversine and the gene expression of Oct4 ( p = 0.004), with the greatest Oct4 gene expression in the control group and the lowest Oct4 gene expression in the REV40 group, as can be seen in Figure 2 . Figure 2. Graph showing that Oct4 gene expression is highest in the control group, and decreased in the REV10, REV20 and REV40 groups, except on day 7. Oct4, Octamer-binding transcription factor 4; REV, reversine. The mean value for brachyury expression from the 6 th cell passage showed a decreasing trend with the addition of reversine. There was a statistically significant difference between the concentration of reversine and the gene expression of brachyury ( p < 0.001), with the greatest brachyury gene expression in the control group and the lowest brachyury gene expression in the REV40 group, as can be seen in Figure 3 . Figure 3. Graph showing that brachyury gene expression is highest in the control group, and decreased in the REV10, REV20 and REV40 groups. REV, reversine. For Flk-1 gene expression from the 6 th cell passage, REV10 increased the mean value of Flk-1 expression from the 3 rd day of observation until the 7 th day of observation, whereas REV20 and REV40 did not show any statistically significant differences ( Figure 4 ). Figure 4. Graph showing that Flk-1 gene expression is highest in the REV10 group compared with the control, REV20 and REV40 groups. Flk-1, Fetal liver kinase 1; REV, reversine. If the REV20 and REV40 variables are omitted, it can be concluded that REV10 significantly increased the mean value of Flk-1 gene expression on the 5 th and 7 th day of observation ( p < 0.001). These data were obtained through analysis using independent t-test and paired t-test, with a bar chart in Figure 5 . Figure 5. Diagram showing the expression of Flk-1 following treatment with 10 nM reversine based on daily trend when compared with the control group. Flk-1, Fetal liver kinase 1. Immunofluorescence analysis of cardiomyocyte cell markers The quantity of GATA-4 and cTnT expression from the 6 th cell passage analysed on day 21 showed an abnormal data distribution, so we used the Kruskal-Wallis test for further data processing. The median value of GATA-4 decreased from day 7 until day 21, while the median value of cTnT increased from day 7 until day 21. Kruskal-Wallis test revealed that the expression levels of GATA-4 and cTnT were different between control group, REV10, REV20 and REV40 groups ( p < 0.001) as can be seen in Table 3 . Figure 6 revealed a trend of decreasing value of GATA4 in all groups between 21 days of observation ( p = 0.017). Figure 7 revealed a trend of increasing value of cTnT in all group between 21 days of observation ( p = 0.001). Table 3. Median value and Kruskal-Wallis test for GATA4 and cTnT based on the concentration of reversine. Variable REV dose Median rank Kruskal-Wallis Sig GATAD7 0 4.50 21.830 .000 1 25.75 2 19.69 3 16.06 GATAD14 0 4.63 20.091 .000 1 25.13 2 18.25 3 18.00 GATAD21 0 4.69 19.908 .000 1 23.75 2 20.69 3 16.88 CTNTD7 0 10.13 13.526 .000 1 24.00 2 21.00 3 10.88 CTNTD14 0 6.75 16.787 .000 1 25.00 2 20.00 3 14.25 CTNTD21 0 8.38 8.483 .000 1 20.88 2 19.13 3 17.63 Figure 6. Graph showing the decreasing expression of GATA4 in all groups over 21 days of observation. GATA4, Transcription factor GATA-4; REV, reversine. Figure 7. Graph showing the increasing expression of cTnT in all groups over 21 days of observation. cTnT, Cardiac troponin T; REV, reversine. Path analysis When path analysis was performed on all variables, it was found that at phase 3, the dose of reversine had a significant effect on the quantity of cTnT ( p = 0.015) and GATA4 ( p = 0.011) expression. Meanwhile, in passage six, the reversine dose only had a significant effect on GATA4 expression ( p = 0.004). Meanwhile, the reversine dose had a significant effect on the quantity of Flk-1 expression ( p < 0.001), which indicates how strong the effect of the dose is (a positive sign means it has a positive effect as can be seen in Figure 8 . Figure 8. Path analysis for relationship between variables of reversine concentration on differentiation of DFAT cells into cardiomyocytes. Oct4, Octamer-binding transcription factor 4; Flk-1, Fetal liver kinase 1; GATA4, Transcription factor GATA-4; cTnT, Cardiac troponin T. Figure 9. Immunofluorescence of GATA4 in the cell culture. Figure 10. Immunofluorescence of cTnT in the cell culture. Discussion Expression of cell potency and DFAT “cell stemness” The ability of DFAT cells to differentiate into multiple derived cells from the three germ layers raises questions about the cell stemness properties of DFAT cells. Previous studies have shown that DFAT cells have similar properties to mesenchymal stem cells. 25 – 30 DFAT cells show the expression of several cell potency such as Oct4, Sox2, Nanog, Rex-1 31 SOX9, ACAN 32 and Flk-1. 33 In this study, DFAT cells were exposed to different doses of reversine with the assumption that the reversine would affect the potency of DFAT cells. There were three markers analysed in this study, namely Oct4, which represents cell stemness transcription factor (SRTF) at the pluripotent level, brachyury, which represents mesodermal cell transcription factor at the multipotent level, and Flk-1, which is a marker of mesodermal endothelial cells. Meanwhile, the doses of reversine used were 10, 20 and 40 nM. The concentration selection was made based on a preliminary study that had been carried out previously using reversine at the concentration of 10, 20 and 40 nM. Analysis of these three markers showed that reversine, especially at the concentration of 10 nM, was able to increase Flk-1 expression consistently during the three days of observation. Reversine at the concentration of 10 nM was also superior to other doses in increasing the expression of Oct4 and brachyury markers even though it had a lower mean value than the control group in all observation groups. Expression of Flk-1 as a marker of mesodermal endothelial cells Flk-1 is one of the markers of mesodermal endothelial cells that are essential in the development of endothelial and other hematopoietic derivatives. The detection of this marker confirms the assumption that DFAT cells undergo dedifferentiation from mature mesenchymal cells into more “younger” cells. Expression of Flk-1 in DFAT cells indicates the potency of these cells to differentiate into cardiomyocytes. This is in line with previous studies using an embryonic stem cell differentiation model in mice, showing that progenitor cells expressing Flk-1 can differentiate into contractile cardiomyocytes, whereas cells that do not express Flk-1 are unable to differentiate into contractile cardiomyocytes. Expression of brachyury as a carcinoma cell transcription factor Brachyury is a transcription factor that indicates the ability of mesodermal differentiation. Brachyury expression in DFAT cells notably decreases when compared to AMSC cells. 34 In this study, the administration of reversine did not increase the expression of brachyury. Perhaps this indicates the ability of reversine to induce further de-differentiation in DFAT cells not to the mesodermal level. Brachyury is also a specific and sensitive marker for the diagnosis of chordoma and has been shown to play a role in the carcinogenesis and development of several epithelial carcinomas. 35 A further question that needs to be investigated is whether the low expression of brachyury is associated with a lower risk of DFAT cell carcinogenesis. 36 Oct4 expression as a marker of cell pluripotency Oct4 is one of the markers of cell pluripotency that plays a role in the differentiation of the three germ layers. Oct4 expression in this study is lower than in several previous studies. 35 This could be due to several reasons, the first being the lack of observation days and the second being that the dose in this study was not able to induce an increase in Oct4 expression. Effect of reversine concentration to cTnT and GATA4 expression One of the main objectives in this study was to find out the optimal dose for differentiation of DFAT cells into cardiomyocytes. The results of this study indicate that reversine had a significant effect on the expression of cardiomyocyte cell markers. Among the three doses used, reversine at a dose of 10 nM was consistently able to increase the expression of GATA4 and cTnT markers in two different passage groups. Meanwhile, the other two doses, namely the concentration of 20 nM and 40 nM, showed inferior results when compared with the concentration of 10 nM. This supports the assumption that the dose of reversine is concentration dependent on the differentiation ability of DFAT cells. If you look at the median values of GATA4 and cTnT in each subgroup, you will see a tendency to decrease the median value of GATA4 and increase the median value of cTnT on each day of observation. This is consistent with the theory that states that GATA4 as a marker of cardiac progenitor cells will decrease when DFAT cells differentiate into cardiomyocytes, which are characterized by the detection of cTnT, so it is assumed that GATA4 and cTnT have a negative association, i.e. , the lower GATA4 expression the higher the levels of cTnT. However, a different reality was found in this study, particularly in the cTnT group. In the GATA4 group, all concentrations of reversine consistently showed a lower median value as the days of observation increased, with reversine at a concentration of 10 nM having the largest effect on decreasing GATA4 values in culture cells. 37 – 39 In the cTnT group, inconsistency was seen in each passage group, reversine at a concentration of 10 nM increased the median value on days 7 and 14, but decreased values on day 21 in passage three, while in passage six the median value consistently increased. The same thing happened in the 40 nM reversine group. Meanwhile, at a concentration of 20 nM, the median value at passages three and six seemed to decrease with increasing days of observation. Limitations The inconsistencies mentioned above can be caused by several technical factors that were not controlled by the researchers, including cell density, which causes false negative results, the emergence of artifacts during staining, which causes false positive results and less than perfect absorption of antibody/Alexa Fluor due to insufficient membrane recovery time achieved. Although passages three and six are still classified as early passages, there are several things that can cause differences in the quality of each of these passages. Senescence is one of the causes of decreased differentiation ability of DFAT cells. It can be concluded that the differentiation ability decreases as cells age. Conclusions Reversine could increase the expression of Flk-1, yet it was unable to stimulate the expression of Oct4 and brachyury related to cell stemness. An optimal concentration of 10 nM reversine may have the greatest effect on enhancing the differentiation of DFAT cells into mature cardiomyocytes, as can be seen by higher cTnT expression between cells. Data availability Underlying data Figshare: Raw Data - Effects of Different Concentration of Reversine to Enhance Conversion of Dedifferentiated Fat Cells into Cardiomyocyte. https://doi.org/10.6084/m9.figshare.20000426 . 22 The project contains the following underlying data: • ICC-BB.sav (immunocytochemistry data) • RTqPCR.sav Figshare: Raw Ct values and standard curves for all samples and replicates. https://doi.org/10.6084/m9.figshare.20109680 . 23 Figshare: Raw, unedited, uncropped immunocytochemistry images. https://doi.org/10.6084/m9.figshare.20109629 . 24 Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0). Acknowledgements We thank the dedicated team of laboratory/experiments/microscope/archives from the Institute of Stem Cell Laboratory Airlangga University for their technical contribution. Special thanks to Prof. Maria Inge Lusida and Prof. Fedik Abdul Rantam for their reviews and excellent insights on an earlier version of our manuscript, although any errors are our own responsibilities and should not tarnish the reputations of these esteemed persons. References 1. Sampogna G, Guraya SY, Forgione A: Regenerative medicine: Historical roots and potential strategies in modern medicine. J. Microsc. Ultrastruct. 2015; 3 : 101–107. PubMed Abstract | Publisher Full Text 2. Duarte MS, Bueno R, Silva W, et al. : Triennial growth and development symposium: Dedifferentiated fat cells: Potential and perspectives for their use in clinical and animal science purpose. J. Anim. Sci. 2017; 95 (5): 2255–2260. PubMed Abstract | Publisher Full Text 3. Dufrane D: Impact of Age on Human Adipose Stem Cells for Bone Tissue Engineering. Cell Transplant. 2017; 26 : 1496–1504. PubMed Abstract | Publisher Full Text 4. Fitzsimmons REB, Mazurek MS, Soos A, et al. : Mesenchymal stromal/stem cells in regenerative medicine and tissue engineering. Stem Cells Int. 2018; 2018 : 1–16. PubMed Abstract | Publisher Full Text 5. Gao Q, Zhao L, Song Z, et al. : Expression pattern of embryonic stem cell markers in DFAT cells and ADSCs. Mol. Biol. Rep. 2012; 39 (5): 5791–5804. Publisher Full Text 6. Giordano A, Frontini A, Cinti S: Convertible visceral fat as a therapeutic target to curb obesity. Nat. Rev. Drug Discov. 2016; 15 (6): 405–424. Publisher Full Text 7. Mitrečić D, Hribljan V, Jagečić D, et al. : Regenerative Neurology and Regenerative Cardiology: Shared Hurdles and Achievements. Int. J. Mol. Sci. 2022; 23 (2): 855. PubMed Abstract | Publisher Full Text | Free Full Text 8. Gu Y, Li T, Ding Y, et al. : Changes in mesenchymal stem cells following long-term culture in vitro. Mol. Med. Rep. 2016; 13 (6): 5207–5215. PubMed Abstract | Publisher Full Text 9. Hong SH, Lee MH, Koo MA, et al. : Stem cell passage affects directional migration of stem cells in electrotaxis. Stem Cell Res. 2019; 38 (January): 101475. PubMed Abstract | Publisher Full Text 10. Huang Y, Huang D, Weng J, et al. : Effect of reversine on cell cycle, apoptosis, and activation of hepatic stellate cells. Mol. Cell. Biochem. 2016; 423 (1–2): 9–20. PubMed Abstract | Publisher Full Text 11. Jeziorowska D, Korniat A, Salem JE, et al. : Generating patient-specific induced pluripotent stem cells-derived cardiomyocytes for the treatment of cardiac diseases. Expert. Opin. Biol. Ther. 2015; 15 (10): 1399–1409. PubMed Abstract | Publisher Full Text 12. Kikuta S, Tanaka N, Kazama T, et al. : Osteogenic Effects of Dedifferentiated Fat Cell Transplantation in Rabbit Models of Bone Defect and Ovariectomy-Induced Osteoporosis. Tissue Eng. A. 2013; 19 (15–16): 1792–1802. PubMed Abstract | Publisher Full Text | Free Full Text 13. Li XC, Guo Y, Yao Y, et al. : Reversine increases the plasticity of long-term cryopreserved fibroblasts to multipotent progenitor cells through activation of Oct4. Int. J. Biol. Sci. 2016; 12 (1): 53–62. PubMed Abstract | Publisher Full Text 14. Liu M, Lei H, Dong P, et al. : Adipose-Derived Mesenchymal Stem Cells from the Elderly Exhibit Decreased Migration and Differentiation Abilities with Senescent Properties. Cell Transplant. 2017; 26 : 1505–1519. PubMed Abstract | Publisher Full Text 15. McGown C, Birerdinc A, Younossi ZM: Adipose tissue as an endocrine organ. Clin. Liver Dis. 2014; 18 (1): 41–58. Publisher Full Text 16. Poloni A, Maurizi G, Leoni P, et al. : Human dedifferentiated adipocytes show similar properties to bone marrow-derived mesenchymal stem cells. Stem Cells. 2012; 30 (5): 965–974. PubMed Abstract | Publisher Full Text 17. Qu G, von Schroeder HP : Preliminary Evidence for the Dedifferentiation of RAW 264.7 Cells into Mesenchymal Progenitor-Like Cells by a Purine Analog. Tissue Eng. A. 2012; 18 : 1890–1901. PubMed Abstract | Publisher Full Text 18. Santaguida S, Tighe A, D’Alise AM, et al. : Dissecting the role of MPS1 in chromosome biorientation and the spindle checkpoint through the small molecule inhibitor reversine. J. Cell Biol. 2010; 190 : 73–87. PubMed Abstract | Publisher Full Text 19. Saraiya M, Nasser R, Zeng Y, et al. : Reversine enhances generation of progenitor-like cells by dedifferentiation of annulus fibrosus cells. Tissue Eng. Part A. 2010; 16 : 1443–1455. PubMed Abstract | Publisher Full Text | Free Full Text 20. Berthouex PM, Brown LC: Statistics for Environmental Engineers. 2nd ed.Boca Raton, FL: Lewis Publishers; 2002. 21. Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta C(T)) Method. Methods. 2001 Dec; 25 (4): 402–408. PubMed Abstract | Publisher Full Text 22. Nugraha RA, Baktijasa B, Sargowo D: Raw Data - Effects of Different Concentration of Reversine to Enhance Conversion of Dedifferentiated Fat Cells into Cardiomyocyte. figshare. [Dataset].2022. Publisher Full Text 23. Nugraha RA, Baktijasa B, Sargowo D, et al. : Raw Ct values and standard curves for all samples and replicates. figshare. Dataset.2022. Publisher Full Text 24. Nugraha RA, Baktijasa B, Sargowo D, et al. : Raw, unedited, uncropped immunocytochemistry images. figshare. Figure.2022. Publisher Full Text 25. Shah SR, David JM, Tippens ND, et al. : Brachyury-YAP Regulatory Axis Drives Stemness and Growth in Cancer. Cell Rep. 2017; 21 (2): 495–507. PubMed Abstract | Publisher Full Text 26. Shall G, Menosky M, Decker S, et al. : Effects of Passage Number and Differentiation Protocol on the Generation of Dopaminergic Neurons from Rat Bone Marrow-Derived Mesenchymal Stem Cells. Int. J. Mol. Sci. 2018; 19 (3): 1–31. PubMed Abstract | Publisher Full Text 27. Soltani L, Rahmani HR, Daliri Joupari M, et al. : Effects of Different Concentrations of Reversine on Plasticity of Mesenchymal Stem Cells. Ind. J. Clin. Biochem. December 2018; 35 : 188–196. PubMed Abstract | Publisher Full Text 28. von Schubert C , Cubizolles F, Bracher JM, et al. : Plk1 and Mps1 Cooperatively Regulate the Spindle Assembly Checkpoint in Human Cells. Cell Rep. 2015; 12 (1): 66–78. PubMed Abstract | Publisher Full Text 29. Wei S, Duarte MS, Zan L, et al. : Cellular and Molecular Implications of Mature Adipocyte Dedifferentiation. J. Genomics. 2013; 1 : 5–12. PubMed Abstract | Publisher Full Text 30. Ziaeian B, Fonarow GC: Epidemiology and aetiology of heart failure. Nat. Rev. Cardiol. 2016; 13 (6): 368–378. PubMed Abstract | Publisher Full Text 31. Zuk PA, Zhu M, Ashjian P, et al. : Human Adipose Tissue Is a Source of Multipotent Stem Cells. Mol. Biol. Cell. 2002; 13 (12): 4279–4295. PubMed Abstract | Publisher Full Text 32. Saler M, Caliogna L, Botta L, et al. : hASC and DFAT, multipotent stem cells for regenerative medicine: A comparison of their potential differentiation in vitro. Int. J. Mol. Sci. 2017; 18 . PubMed Abstract | Publisher Full Text 33. Jumabay M, Zhang R, Yao Y, et al. : Spontaneously beating cardiomyocytes derived from white mature adipocytes. Cardiovasc. Res. 2010; 85 (1): 17–27. PubMed Abstract | Publisher Full Text 34. Jumabay M, Abdmaulen R, Urs S, et al. : Endothelial differentiation in multipotent cells derived from mouse and human white mature adipocytes. J. Mol. Cell. Cardiol. 2012; 53 : 790–800. PubMed Abstract | Publisher Full Text 35. Figiel-dabrowska A, Radoszkiewicz K, Rybkowska P, et al. : Neurogenic and neuroprotective potential of stem/stromal cells derived from adipose tissue. Cells. 2021; 10 (6): 1–27. PubMed Abstract | Publisher Full Text 36. Chen M, Wu Y, Zhang H, et al. : The Roles of Embryonic Transcription Factor BRACHYURY in Tumorigenesis and Progression. Front. Oncol. 2020; 10 (June): 1–9. PubMed Abstract | Publisher Full Text 37. Badimon L, Oñate B, Vilahur G: Adipose-derived mesenchymal stem cells and their reparative potential in ischemic heart disease. Rev. Esp. Cardiol. 2015; 68 : 599–611. Publisher Full Text 38. Chen L, Qin F, Ge M, et al. : Application of Adipose-Derived Stem Cells in Heart Disease. J. Cardiovasc. Transl. Res. 2014; 7 (7): 651–663. PubMed Abstract | Publisher Full Text 39. Jumabay M: Dedifferentiated fat cells: A cell source for regenerative medicine. World J. Stem Cells. 2015; 7 : 1202–1214. PubMed Abstract | Publisher Full Text Comments on this article Comments (0) Version 3 VERSION 3 PUBLISHED 28 Jul 2022 ADD YOUR COMMENT Comment Author details Author details 1 Doctoral Programme in Biomedical Sciences, Faculty of Medicine, Brawijaya University, Malang, East Java, 65145, Indonesia 2 Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Dr. Soetomo Academic General Hospital, Surabaya, East Java, 60286, Indonesia 3 Department of Cardiology and Vascular Medicine, Faculty of Medicine, Brawijaya University, Malang, East Java, 65145, Indonesia 4 Biochemistry Laboratory, Department of Chemistry, Faculty of Sciences, Brawijaya University, Malang, East Java, 65145, Indonesia Budi Baktijasa Dharmadjati Roles: Conceptualization, Data Curation, Funding Acquisition, Project Administration, Resources, Writing – Original Draft Preparation Djanggan Sargowo Roles: Software, Supervision, Validation, Visualization, Writing – Review & Editing Aulanni’am . Roles: Software, Supervision, Validation, Visualization, Writing – Review & Editing Budi Susetyo Pikir Roles: Data Curation, Formal Analysis, Methodology, Software Yudi Her Oktaviono Roles: Project Administration, Software, Visualization Oryza Sativa Roles: Data Curation, Formal Analysis Kandita Arjani Roles: Data Curation, Investigation, Resources Ricardo Adrian Nugraha Roles: Formal Analysis, Writing – Original Draft Preparation Competing interests No competing interests were disclosed. Grant information The author(s) declared that no grants were involved in supporting this work. Article Versions (3) version 3 Revised Published: 11 Jun 2024, 11:851 https://doi.org/10.12688/f1000research.122788.3 version 2 Revised Published: 22 Mar 2024, 11:851 https://doi.org/10.12688/f1000research.122788.2 version 1 Published: 28 Jul 2022, 11:851 https://doi.org/10.12688/f1000research.122788.1 Copyright © 2024 Dharmadjati BB et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Download Export To Sciwheel Bibtex EndNote ProCite Ref. Manager (RIS) Sente metrics Views Downloads F1000Research - - PubMed Central info_outline Data from PMC are received and updated monthly. - - Citations open_in_new 0 open_in_new 0 open_in_new SEE MORE DETAILS CITE how to cite this article Dharmadjati BB, Sargowo D, . A et al. Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.12688/f1000research.122788.3 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS track receive updates on this article Track an article to receive email alerts on any updates to this article. TRACK THIS ARTICLE Share Open Peer Review Current Reviewer Status: ? Key to Reviewer Statuses VIEW HIDE Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Version 3 VERSION 3 PUBLISHED 11 Jun 2024 Revised Views 0 Cite How to cite this report: Milasin J. Reviewer Report For: Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.5256/f1000research.167666.r289885 ) The direct URL for this report is: https://f1000research.com/articles/11-851/v3#referee-response-289885 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 23 Jul 2024 Jelena Milasin , Department of Human Genetics, School of Dental Medicine, University of Belgrade, Belgrade, Serbia Approved VIEWS 0 https://doi.org/10.5256/f1000research.167666.r289885 The authors have addressed in a satisfactory way most of the issues ... Continue reading READ ALL The authors have addressed in a satisfactory way most of the issues raised by this reviewer and thus the paper has been considerably improved. Competing Interests: No competing interests were disclosed. Reviewer Expertise: stem cell studies (characterization, differentiation). I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Milasin J. Reviewer Report For: Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.5256/f1000research.167666.r289885 ) The direct URL for this report is: https://f1000research.com/articles/11-851/v3#referee-response-289885 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Respond or Comment COMMENT ON THIS REPORT Version 2 VERSION 2 PUBLISHED 22 Mar 2024 Revised Views 0 Cite How to cite this report: Milasin J. Reviewer Report For: Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.5256/f1000research.163823.r270562 ) The direct URL for this report is: https://f1000research.com/articles/11-851/v2#referee-response-270562 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 06 Jun 2024 Jelena Milasin , Department of Human Genetics, School of Dental Medicine, University of Belgrade, Belgrade, Serbia Approved with Reservations VIEWS 0 https://doi.org/10.5256/f1000research.163823.r270562 The topic of the paper „Effects of different concentrations of reversine to enhance conversion of dedifferentiated fat cells into mature cardiomyocytes“, is interesting and relevant to the field of regenerative medicine. The authors have found that reversine, a purine-derivative, could ... Continue reading READ ALL The topic of the paper „Effects of different concentrations of reversine to enhance conversion of dedifferentiated fat cells into mature cardiomyocytes“, is interesting and relevant to the field of regenerative medicine. The authors have found that reversine, a purine-derivative, could stimulate the differentiation of DFAT cells into mature cardiomyocytes, as indicated by the higher expression of cardiac troponin T, a specific marker of cardiac muscle cells. Although the study is interesting, it has many imprecisions and linguistic flaws leading to ambiguities. Title: Rephrase slightly („Effects of different concentrations of reversine on the conversion of dedifferentiated fat cells into mature cardiomyocytes“). Introduction: Authors should cite the review article ( Mitrečić D.et.al., 2022 [Ref 1]) Authors must rephrase the following sentence as it is unclear: “... a higher percentage of the expressed quantity of the mesenchymal stem cell marker known as dedifferentiated fat (DFAT) cells”. It should be either “higher quantity” or “higher percentage” of expressed markers. And markers ARE NOT dedifferentiated cells. Delete “more” in the sentence “...the dedifferentiation of unipotent myoblast cells to progenitor cells, which are more multipotent”. In the next sentence delete “stem”. The sentence should read: „Reversine as an inductor of cell dedifferentiation...” “Aims” and “objectives” represent a redundancy. The two paragraphs should be merged, re-worded and shortened. M&M: It is unclear what was the number of patients whose adipose tissues were used for cell culturing. All units should be very carefully re-checked. For instance „A total of 30-50 L was then transferred” or “A total of 2 L reagent was added to the PCR tube, then 3 L RNA sample was added to the same PCR tube”- µ is missing; also “5.6 microns carrier RNA and 560 micros AVL buffer”-this is incorrect, etc. Additionally, authors say 30-50 microliters was transferred into 6-well plates. It changes a lot if there was 20 microliters in one and 50 microliters in another well. Correct this. What was done with DFAT after 15 minutes of incubation with reversine? Results: Under the subsection “Analysis of RT-qPCR for potential markers of DFAT”, there are some discrepancies. Authors say that Oct and Brachyury had lower average values than controls, and that for Flk it was the opposite, when even Flk had lower values compared to controls. Either correct this statement or the table. Maybe authors should merge this and the following subsection (as it also deals with relative expressions of Oct, brachyury and Flk genes) and harmonize them. The word “gene” is missing after Oct, brachyury, Flk (it should be Oct4 gene expression, etc.) The standard deviation bars are missing on the histograms It is unclear which cell passage (3 rd or 6 th ) treatments are given in the figures. It is not very clear what do the p values above the histogram actually connect. Figure 2. caption should be corrected (“Graph showing that Oct4 expression is highest in the control group, and decreased in the REV10, REV20 and REV40 groups”), because for REV10, on day 7, there is an increase. Discussion: Rather use the word “potency” instead of potential in this case, and correct “stem cell-ness” into “cell stemness”. The expression of Oct in this paper and the paper #34 is not really comparable, because the experimental settings are different. English language needs improvements. Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Partly Are sufficient details of methods and analysis provided to allow replication by others? Partly If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Partly Are the conclusions drawn adequately supported by the results? Partly References 1. Mitrečić D, Hribljan V, Jagečić D, Isaković J, et al.: Regenerative Neurology and Regenerative Cardiology: Shared Hurdles and Achievements. Int J Mol Sci . 2022; 23 (2). PubMed Abstract | Publisher Full Text Competing Interests: No competing interests were disclosed. Reviewer Expertise: stem cell studies (characterization, differentiation). I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Milasin J. Reviewer Report For: Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.5256/f1000research.163823.r270562 ) The direct URL for this report is: https://f1000research.com/articles/11-851/v2#referee-response-270562 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 20 Jun 2024 Ricardo Adrian Nugraha , Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Dr. Soetomo Academic General Hospital, Surabaya, 60286, Indonesia 20 Jun 2024 Author Response The topic of the paper „Effects of different concentrations of reversine to enhance conversion of dedifferentiated fat cells into mature cardiomyocytes“, is interesting and relevant to the field of regenerative ... Continue reading The topic of the paper „Effects of different concentrations of reversine to enhance conversion of dedifferentiated fat cells into mature cardiomyocytes“, is interesting and relevant to the field of regenerative medicine. The authors have found that reversine, a purine-derivative, could stimulate the differentiation of DFAT cells into mature cardiomyocytes, as indicated by the higher expression of cardiac troponin T, a specific marker of cardiac muscle cells. Although the study is interesting, it has many imprecisions and linguistic flaws leading to ambiguities. Title: Rephrase slightly („Effects of different concentrations of reversine on the conversion of dedifferentiated fat cells into mature cardiomyocytes“). Author response: thank you for your suggestion. We rephrased the title with “Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes” Introduction: Authors should cite the review article ( Mitrečić D.et.al., 2022 [Ref 1]) Author response: thank you for your suggestion. We cited the article you’ve suggested in the reference number 7. Authors must rephrase the following sentence as it is unclear: “... a higher percentage of the expressed quantity of the mesenchymal stem cell marker known as dedifferentiated fat (DFAT) cells”. It should be either “higher quantity” or “higher percentage” of expressed markers. And markers ARE NOT dedifferentiated cells. Author response: thank you for your feedback. We rephrased it with “… with a higher quantity of dedifferentiated fat (DFAT) cells” Delete “more” in the sentence “...the dedifferentiation of unipotent myoblast cells to progenitor cells, which are more multipotent”. In the next sentence delete “stem”. The sentence should read: „Reversine as an inductor of cell dedifferentiation...” Author response: thank you for your feedback. We deleted “more” and “stem” as you have suggested. “Aims” and “objectives” represent a redundancy. The two paragraphs should be merged, re-worded and shortened. Author response: thank you for your suggestion. We merged and shortened these two paragraphs into one. M&M: It is unclear what was the number of patients whose adipose tissues were used for cell culturing. Author response: we got it from one patient, a 39-years-old woman who underwent surgery for hernia. All units should be very carefully re-checked. For instance „A total of 30-50 L was then transferred” or “A total of 2 L reagent was added to the PCR tube, then 3 L RNA sample was added to the same PCR tube”- µ is missing; also “5.6 microns carrier RNA and 560 micros AVL buffer”-this is incorrect, etc. Author response: thank you for your very careful observation. We apologized for several missing words and errors. We have fixed it. Additionally, authors say 30-50 microliters was transferred into 6-well plates. It changes a lot if there was 20 microliters in one and 50 microliters in another well. Correct this. Author response: thank you for your very careful observation. Actually we used 30 µL. We have fixed it. We apologize for this error. What was done with DFAT after 15 minutes of incubation with reversine? Author response: The cells were pretreated with 10, 20, and 40 nM of reversine for 15 minutes, and then further induced under lineage-specific inducing condition in differentiation medium. Cells grown on coverslips were fixed with 4% paraformaldehyde. Then, we performed RT-qPCR for Oct4, brachyury and Flk-1 on days 7, 14 and 21 after the cells were exposed to differentiation medium. We performed quantification of dedifferentiating mature adipocytes and cardiomyocyte expression (GATA4 and cTnT) were performed by immunocytochemistry. Results: Under the subsection “Analysis of RT-qPCR for potential markers of DFAT”, there are some discrepancies. Authors say that Oct and Brachyury had lower average values than controls, and that for Flk it was the opposite, when even Flk had lower values compared to controls. Either correct this statement or the table. Author response: thank you for your careful observation and feedback. We apologize for the misunderstanding. We have corrected the table. The true statemet is reversine groups always have higher mean value of Flk than control group, with REV40 had the highest value of Flk-1. Maybe authors should merge this and the following subsection (as it also deals with relative expressions of Oct, brachyury and Flk genes) and harmonize them. Author response: thank you for your suggestion, we merged both and deleted the following subsections. The word “gene” is missing after Oct, brachyury, Flk (it should be Oct4 gene expression, etc.) Author response: thank you for your suggestion, we added “gene expression” The standard deviation bars are missing on the histograms Author response: thank you for your consideration and attention to this matter. We added the standard deviation bars on the histograms. It is unclear which cell passage (3 rd or 6 th ) treatments are given in the figures. Author response: we used the 6 th cell passage treatments for data analysis and figures. We will explain it in the manuscript. It is not very clear what do the p values above the histogram actually connect. Author response: thank you for your consideration and attention to this matter. We try to explain the p values clearer, as a comparison between each group of intervention, not between day . Figure 2. caption should be corrected (“Graph showing that Oct4 expression is highest in the control group, and decreased in the REV10, REV20 and REV40 groups”), because for REV10, on day 7, there is an increase. Author response: thank you for your suggestion, we have corrected the Figure 2 caption with “except on day 7”. Discussion: Rather use the word “potency” instead of potential in this case, and correct “stem cell-ness” into “cell stemness”. Author response: thank you for your suggestion, we replace the word “potential” with “potency” and “stem cell-ness” with “cell stemness” The expression of Oct in this paper and the paper #34 is not really comparable, because the experimental settings are different. Author response: we agreed with you, since there are several differences in the experimental setting, thus it couldn’t be compared. English language needs improvements. Author response: thank you for your suggestion. We have sent it to the proof language service to improve our grammars. The topic of the paper „Effects of different concentrations of reversine to enhance conversion of dedifferentiated fat cells into mature cardiomyocytes“, is interesting and relevant to the field of regenerative medicine. The authors have found that reversine, a purine-derivative, could stimulate the differentiation of DFAT cells into mature cardiomyocytes, as indicated by the higher expression of cardiac troponin T, a specific marker of cardiac muscle cells. Although the study is interesting, it has many imprecisions and linguistic flaws leading to ambiguities. Title: Rephrase slightly („Effects of different concentrations of reversine on the conversion of dedifferentiated fat cells into mature cardiomyocytes“). Author response: thank you for your suggestion. We rephrased the title with “Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes” Introduction: Authors should cite the review article ( Mitrečić D.et.al., 2022 [Ref 1]) Author response: thank you for your suggestion. We cited the article you’ve suggested in the reference number 7. Authors must rephrase the following sentence as it is unclear: “... a higher percentage of the expressed quantity of the mesenchymal stem cell marker known as dedifferentiated fat (DFAT) cells”. It should be either “higher quantity” or “higher percentage” of expressed markers. And markers ARE NOT dedifferentiated cells. Author response: thank you for your feedback. We rephrased it with “… with a higher quantity of dedifferentiated fat (DFAT) cells” Delete “more” in the sentence “...the dedifferentiation of unipotent myoblast cells to progenitor cells, which are more multipotent”. In the next sentence delete “stem”. The sentence should read: „Reversine as an inductor of cell dedifferentiation...” Author response: thank you for your feedback. We deleted “more” and “stem” as you have suggested. “Aims” and “objectives” represent a redundancy. The two paragraphs should be merged, re-worded and shortened. Author response: thank you for your suggestion. We merged and shortened these two paragraphs into one. M&M: It is unclear what was the number of patients whose adipose tissues were used for cell culturing. Author response: we got it from one patient, a 39-years-old woman who underwent surgery for hernia. All units should be very carefully re-checked. For instance „A total of 30-50 L was then transferred” or “A total of 2 L reagent was added to the PCR tube, then 3 L RNA sample was added to the same PCR tube”- µ is missing; also “5.6 microns carrier RNA and 560 micros AVL buffer”-this is incorrect, etc. Author response: thank you for your very careful observation. We apologized for several missing words and errors. We have fixed it. Additionally, authors say 30-50 microliters was transferred into 6-well plates. It changes a lot if there was 20 microliters in one and 50 microliters in another well. Correct this. Author response: thank you for your very careful observation. Actually we used 30 µL. We have fixed it. We apologize for this error. What was done with DFAT after 15 minutes of incubation with reversine? Author response: The cells were pretreated with 10, 20, and 40 nM of reversine for 15 minutes, and then further induced under lineage-specific inducing condition in differentiation medium. Cells grown on coverslips were fixed with 4% paraformaldehyde. Then, we performed RT-qPCR for Oct4, brachyury and Flk-1 on days 7, 14 and 21 after the cells were exposed to differentiation medium. We performed quantification of dedifferentiating mature adipocytes and cardiomyocyte expression (GATA4 and cTnT) were performed by immunocytochemistry. Results: Under the subsection “Analysis of RT-qPCR for potential markers of DFAT”, there are some discrepancies. Authors say that Oct and Brachyury had lower average values than controls, and that for Flk it was the opposite, when even Flk had lower values compared to controls. Either correct this statement or the table. Author response: thank you for your careful observation and feedback. We apologize for the misunderstanding. We have corrected the table. The true statemet is reversine groups always have higher mean value of Flk than control group, with REV40 had the highest value of Flk-1. Maybe authors should merge this and the following subsection (as it also deals with relative expressions of Oct, brachyury and Flk genes) and harmonize them. Author response: thank you for your suggestion, we merged both and deleted the following subsections. The word “gene” is missing after Oct, brachyury, Flk (it should be Oct4 gene expression, etc.) Author response: thank you for your suggestion, we added “gene expression” The standard deviation bars are missing on the histograms Author response: thank you for your consideration and attention to this matter. We added the standard deviation bars on the histograms. It is unclear which cell passage (3 rd or 6 th ) treatments are given in the figures. Author response: we used the 6 th cell passage treatments for data analysis and figures. We will explain it in the manuscript. It is not very clear what do the p values above the histogram actually connect. Author response: thank you for your consideration and attention to this matter. We try to explain the p values clearer, as a comparison between each group of intervention, not between day . Figure 2. caption should be corrected (“Graph showing that Oct4 expression is highest in the control group, and decreased in the REV10, REV20 and REV40 groups”), because for REV10, on day 7, there is an increase. Author response: thank you for your suggestion, we have corrected the Figure 2 caption with “except on day 7”. Discussion: Rather use the word “potency” instead of potential in this case, and correct “stem cell-ness” into “cell stemness”. Author response: thank you for your suggestion, we replace the word “potential” with “potency” and “stem cell-ness” with “cell stemness” The expression of Oct in this paper and the paper #34 is not really comparable, because the experimental settings are different. Author response: we agreed with you, since there are several differences in the experimental setting, thus it couldn’t be compared. English language needs improvements. Author response: thank you for your suggestion. We have sent it to the proof language service to improve our grammars. Competing Interests: No competing interests were disclosed. Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 20 Jun 2024 Ricardo Adrian Nugraha , Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Dr. Soetomo Academic General Hospital, Surabaya, 60286, Indonesia 20 Jun 2024 Author Response The topic of the paper „Effects of different concentrations of reversine to enhance conversion of dedifferentiated fat cells into mature cardiomyocytes“, is interesting and relevant to the field of regenerative ... Continue reading The topic of the paper „Effects of different concentrations of reversine to enhance conversion of dedifferentiated fat cells into mature cardiomyocytes“, is interesting and relevant to the field of regenerative medicine. The authors have found that reversine, a purine-derivative, could stimulate the differentiation of DFAT cells into mature cardiomyocytes, as indicated by the higher expression of cardiac troponin T, a specific marker of cardiac muscle cells. Although the study is interesting, it has many imprecisions and linguistic flaws leading to ambiguities. Title: Rephrase slightly („Effects of different concentrations of reversine on the conversion of dedifferentiated fat cells into mature cardiomyocytes“). Author response: thank you for your suggestion. We rephrased the title with “Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes” Introduction: Authors should cite the review article ( Mitrečić D.et.al., 2022 [Ref 1]) Author response: thank you for your suggestion. We cited the article you’ve suggested in the reference number 7. Authors must rephrase the following sentence as it is unclear: “... a higher percentage of the expressed quantity of the mesenchymal stem cell marker known as dedifferentiated fat (DFAT) cells”. It should be either “higher quantity” or “higher percentage” of expressed markers. And markers ARE NOT dedifferentiated cells. Author response: thank you for your feedback. We rephrased it with “… with a higher quantity of dedifferentiated fat (DFAT) cells” Delete “more” in the sentence “...the dedifferentiation of unipotent myoblast cells to progenitor cells, which are more multipotent”. In the next sentence delete “stem”. The sentence should read: „Reversine as an inductor of cell dedifferentiation...” Author response: thank you for your feedback. We deleted “more” and “stem” as you have suggested. “Aims” and “objectives” represent a redundancy. The two paragraphs should be merged, re-worded and shortened. Author response: thank you for your suggestion. We merged and shortened these two paragraphs into one. M&M: It is unclear what was the number of patients whose adipose tissues were used for cell culturing. Author response: we got it from one patient, a 39-years-old woman who underwent surgery for hernia. All units should be very carefully re-checked. For instance „A total of 30-50 L was then transferred” or “A total of 2 L reagent was added to the PCR tube, then 3 L RNA sample was added to the same PCR tube”- µ is missing; also “5.6 microns carrier RNA and 560 micros AVL buffer”-this is incorrect, etc. Author response: thank you for your very careful observation. We apologized for several missing words and errors. We have fixed it. Additionally, authors say 30-50 microliters was transferred into 6-well plates. It changes a lot if there was 20 microliters in one and 50 microliters in another well. Correct this. Author response: thank you for your very careful observation. Actually we used 30 µL. We have fixed it. We apologize for this error. What was done with DFAT after 15 minutes of incubation with reversine? Author response: The cells were pretreated with 10, 20, and 40 nM of reversine for 15 minutes, and then further induced under lineage-specific inducing condition in differentiation medium. Cells grown on coverslips were fixed with 4% paraformaldehyde. Then, we performed RT-qPCR for Oct4, brachyury and Flk-1 on days 7, 14 and 21 after the cells were exposed to differentiation medium. We performed quantification of dedifferentiating mature adipocytes and cardiomyocyte expression (GATA4 and cTnT) were performed by immunocytochemistry. Results: Under the subsection “Analysis of RT-qPCR for potential markers of DFAT”, there are some discrepancies. Authors say that Oct and Brachyury had lower average values than controls, and that for Flk it was the opposite, when even Flk had lower values compared to controls. Either correct this statement or the table. Author response: thank you for your careful observation and feedback. We apologize for the misunderstanding. We have corrected the table. The true statemet is reversine groups always have higher mean value of Flk than control group, with REV40 had the highest value of Flk-1. Maybe authors should merge this and the following subsection (as it also deals with relative expressions of Oct, brachyury and Flk genes) and harmonize them. Author response: thank you for your suggestion, we merged both and deleted the following subsections. The word “gene” is missing after Oct, brachyury, Flk (it should be Oct4 gene expression, etc.) Author response: thank you for your suggestion, we added “gene expression” The standard deviation bars are missing on the histograms Author response: thank you for your consideration and attention to this matter. We added the standard deviation bars on the histograms. It is unclear which cell passage (3 rd or 6 th ) treatments are given in the figures. Author response: we used the 6 th cell passage treatments for data analysis and figures. We will explain it in the manuscript. It is not very clear what do the p values above the histogram actually connect. Author response: thank you for your consideration and attention to this matter. We try to explain the p values clearer, as a comparison between each group of intervention, not between day . Figure 2. caption should be corrected (“Graph showing that Oct4 expression is highest in the control group, and decreased in the REV10, REV20 and REV40 groups”), because for REV10, on day 7, there is an increase. Author response: thank you for your suggestion, we have corrected the Figure 2 caption with “except on day 7”. Discussion: Rather use the word “potency” instead of potential in this case, and correct “stem cell-ness” into “cell stemness”. Author response: thank you for your suggestion, we replace the word “potential” with “potency” and “stem cell-ness” with “cell stemness” The expression of Oct in this paper and the paper #34 is not really comparable, because the experimental settings are different. Author response: we agreed with you, since there are several differences in the experimental setting, thus it couldn’t be compared. English language needs improvements. Author response: thank you for your suggestion. We have sent it to the proof language service to improve our grammars. The topic of the paper „Effects of different concentrations of reversine to enhance conversion of dedifferentiated fat cells into mature cardiomyocytes“, is interesting and relevant to the field of regenerative medicine. The authors have found that reversine, a purine-derivative, could stimulate the differentiation of DFAT cells into mature cardiomyocytes, as indicated by the higher expression of cardiac troponin T, a specific marker of cardiac muscle cells. Although the study is interesting, it has many imprecisions and linguistic flaws leading to ambiguities. Title: Rephrase slightly („Effects of different concentrations of reversine on the conversion of dedifferentiated fat cells into mature cardiomyocytes“). Author response: thank you for your suggestion. We rephrased the title with “Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes” Introduction: Authors should cite the review article ( Mitrečić D.et.al., 2022 [Ref 1]) Author response: thank you for your suggestion. We cited the article you’ve suggested in the reference number 7. Authors must rephrase the following sentence as it is unclear: “... a higher percentage of the expressed quantity of the mesenchymal stem cell marker known as dedifferentiated fat (DFAT) cells”. It should be either “higher quantity” or “higher percentage” of expressed markers. And markers ARE NOT dedifferentiated cells. Author response: thank you for your feedback. We rephrased it with “… with a higher quantity of dedifferentiated fat (DFAT) cells” Delete “more” in the sentence “...the dedifferentiation of unipotent myoblast cells to progenitor cells, which are more multipotent”. In the next sentence delete “stem”. The sentence should read: „Reversine as an inductor of cell dedifferentiation...” Author response: thank you for your feedback. We deleted “more” and “stem” as you have suggested. “Aims” and “objectives” represent a redundancy. The two paragraphs should be merged, re-worded and shortened. Author response: thank you for your suggestion. We merged and shortened these two paragraphs into one. M&M: It is unclear what was the number of patients whose adipose tissues were used for cell culturing. Author response: we got it from one patient, a 39-years-old woman who underwent surgery for hernia. All units should be very carefully re-checked. For instance „A total of 30-50 L was then transferred” or “A total of 2 L reagent was added to the PCR tube, then 3 L RNA sample was added to the same PCR tube”- µ is missing; also “5.6 microns carrier RNA and 560 micros AVL buffer”-this is incorrect, etc. Author response: thank you for your very careful observation. We apologized for several missing words and errors. We have fixed it. Additionally, authors say 30-50 microliters was transferred into 6-well plates. It changes a lot if there was 20 microliters in one and 50 microliters in another well. Correct this. Author response: thank you for your very careful observation. Actually we used 30 µL. We have fixed it. We apologize for this error. What was done with DFAT after 15 minutes of incubation with reversine? Author response: The cells were pretreated with 10, 20, and 40 nM of reversine for 15 minutes, and then further induced under lineage-specific inducing condition in differentiation medium. Cells grown on coverslips were fixed with 4% paraformaldehyde. Then, we performed RT-qPCR for Oct4, brachyury and Flk-1 on days 7, 14 and 21 after the cells were exposed to differentiation medium. We performed quantification of dedifferentiating mature adipocytes and cardiomyocyte expression (GATA4 and cTnT) were performed by immunocytochemistry. Results: Under the subsection “Analysis of RT-qPCR for potential markers of DFAT”, there are some discrepancies. Authors say that Oct and Brachyury had lower average values than controls, and that for Flk it was the opposite, when even Flk had lower values compared to controls. Either correct this statement or the table. Author response: thank you for your careful observation and feedback. We apologize for the misunderstanding. We have corrected the table. The true statemet is reversine groups always have higher mean value of Flk than control group, with REV40 had the highest value of Flk-1. Maybe authors should merge this and the following subsection (as it also deals with relative expressions of Oct, brachyury and Flk genes) and harmonize them. Author response: thank you for your suggestion, we merged both and deleted the following subsections. The word “gene” is missing after Oct, brachyury, Flk (it should be Oct4 gene expression, etc.) Author response: thank you for your suggestion, we added “gene expression” The standard deviation bars are missing on the histograms Author response: thank you for your consideration and attention to this matter. We added the standard deviation bars on the histograms. It is unclear which cell passage (3 rd or 6 th ) treatments are given in the figures. Author response: we used the 6 th cell passage treatments for data analysis and figures. We will explain it in the manuscript. It is not very clear what do the p values above the histogram actually connect. Author response: thank you for your consideration and attention to this matter. We try to explain the p values clearer, as a comparison between each group of intervention, not between day . Figure 2. caption should be corrected (“Graph showing that Oct4 expression is highest in the control group, and decreased in the REV10, REV20 and REV40 groups”), because for REV10, on day 7, there is an increase. Author response: thank you for your suggestion, we have corrected the Figure 2 caption with “except on day 7”. Discussion: Rather use the word “potency” instead of potential in this case, and correct “stem cell-ness” into “cell stemness”. Author response: thank you for your suggestion, we replace the word “potential” with “potency” and “stem cell-ness” with “cell stemness” The expression of Oct in this paper and the paper #34 is not really comparable, because the experimental settings are different. Author response: we agreed with you, since there are several differences in the experimental setting, thus it couldn’t be compared. English language needs improvements. Author response: thank you for your suggestion. We have sent it to the proof language service to improve our grammars. Competing Interests: No competing interests were disclosed. Close Report a concern COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Galli F. Reviewer Report For: Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.5256/f1000research.163823.r258434 ) The direct URL for this report is: https://f1000research.com/articles/11-851/v2#referee-response-258434 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 09 Apr 2024 Francesco Galli , The University of Manchester, Manchester, England, UK Approved VIEWS 0 https://doi.org/10.5256/f1000research.163823.r258434 The authors addressed the primary request from the initial review by including Immunofluorescence images of OCT4 and ... Continue reading READ ALL The authors addressed the primary request from the initial review by including Immunofluorescence images of OCT4 and cTnT. Additionally, they enhanced the clarity and strength of the manuscript by improving the explanation of the results. Competing Interests: No competing interests were disclosed. Reviewer Expertise: Regenerative Medicine, gene/cell therapy, Muscular Dystrophy, Molecular and cell biology I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Galli F. Reviewer Report For: Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.5256/f1000research.163823.r258434 ) The direct URL for this report is: https://f1000research.com/articles/11-851/v2#referee-response-258434 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 20 Jun 2024 Ricardo Adrian Nugraha , Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Dr. Soetomo Academic General Hospital, Surabaya, 60286, Indonesia 20 Jun 2024 Author Response Thank you very much for your very constructive feedback. Competing Interests: No competing interests were disclosed. Thank you very much for your very constructive feedback. Thank you very much for your very constructive feedback. Competing Interests: No competing interests were disclosed. Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 20 Jun 2024 Ricardo Adrian Nugraha , Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Dr. Soetomo Academic General Hospital, Surabaya, 60286, Indonesia 20 Jun 2024 Author Response Thank you very much for your very constructive feedback. Competing Interests: No competing interests were disclosed. Thank you very much for your very constructive feedback. Thank you very much for your very constructive feedback. Competing Interests: No competing interests were disclosed. Close Report a concern COMMENT ON THIS REPORT Version 1 VERSION 1 PUBLISHED 28 Jul 2022 Views 0 Cite How to cite this report: Galli F. Reviewer Report For: Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.5256/f1000research.134822.r243563 ) The direct URL for this report is: https://f1000research.com/articles/11-851/v1#referee-response-243563 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 22 Feb 2024 Francesco Galli , The University of Manchester, Manchester, England, UK Approved with Reservations VIEWS 0 https://doi.org/10.5256/f1000research.134822.r243563 The authors address an important issue in the heart disease therapy the need of novel approach for the regeneration of damage cardiomyocytes to reduce that factor that might worsen cardiac function. The approach of the author looks ... Continue reading READ ALL The authors address an important issue in the heart disease therapy the need of novel approach for the regeneration of damage cardiomyocytes to reduce that factor that might worsen cardiac function. The approach of the author looks promising and easy to apply to cells. it addresses both the problem to have an easy and abundant cells' source (using adipose stem cells) and to have an easy protocol of de-differentiation using only one molecule (reversine) instead a cocktail of small molecules. While the study is of interest, there are few experimental concerns with this manuscript in its present form. 1-In figure 1 Author states that only 2% of cells are CD45 and CD35 +. While the figure confirms this data for CD35, for CD45 you can see in the figure around 30-40% of positive cells. How can this result be address? Also expression of DAPI is a key information if the percentage of positive cells needs to be established. 2-In figure 2 the author showed by RT-qPCR the expression of Oct4 after treatment with different concentration of REV and at different time. While for the highest concentration of REV40 is possible to observe a trend in the gene expression for the other 2 concentration REV10 and REV20 is observed a random expression during the time course. has the author an explanation for this result? If yes it could be important to be added in the manuscript. 3-Result in figure 3 is very clear. It well known that downregulation of brachury genes results in down regulation of different mesenchymal marker (e.g. SMA,Vimentin, Desmin) did the author analysis. the expression of this gene? Showing the regulation also of these downstream genes could strength this data and the paper. 4-How can the author correlate the increase of expression of FLK-1 after a treatment with REV10 with the result obtained for Oct4 gene in figure 1 where the expression was affected only after treatment with REV40? 5-The level of expressions of GATA4 and cTnT protein are essential to demonstrate the fully differentiation of stem-cell in cardiomyocyte. To strengthen his result the author has to show the immunofluorescence, to observe also if the cells have also the typical cardiac phenotype (expression of sarcomere, and the shape of the cells). Author wrote a paragraph about limitations, could be useful for the reader if these limitations are indicated in the results. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Partly Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? No Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Partly Competing Interests: No competing interests were disclosed. Reviewer Expertise: Regenerative Medicine, gene/cell therapy, Muscular Dystrophy, Molecular and cell biology I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Galli F. Reviewer Report For: Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.5256/f1000research.134822.r243563 ) The direct URL for this report is: https://f1000research.com/articles/11-851/v1#referee-response-243563 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 04 Apr 2024 Ricardo Adrian Nugraha , Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Dr. Soetomo Academic General Hospital, Surabaya, 60286, Indonesia 04 Apr 2024 Author Response 1-In figure 1 Author states that only 2% of cells are CD45 and CD35 +. While the figure confirms this data for CD35, for CD45 you can see in the ... Continue reading 1-In figure 1 Author states that only 2% of cells are CD45 and CD35 +. While the figure confirms this data for CD35, for CD45 you can see in the figure around 30-40% of positive cells. How can this result be address? Also expression of DAPI is a key information if the percentage of positive cells needs to be established. Answer: According to our laboratory analysts, which is supported by Auto Image Analysis Toolbox Software, immunocytochemistry showed that the DFAT cell population showed positive expression (>95% luminescence of cells per field of view) of CD105 and CD90 and negative expression (<2% luminescence per field of view) of CD45 and CD34. 2-In figure 2 the author showed by RT-qPCR the expression of Oct4 after treatment with different concentration of REV and at different time. While for the highest concentration of REV40 is possible to observe a trend in the gene expression for the other 2 concentration REV10 and REV20 is observed a random expression during the time course. has the author an explanation for this result? If yes it could be important to be added in the manuscript. Answer: Although the expression of Oct4 is reduced with the concentration of Reversine and time extended, the cells had got sufficient differentiation potential. In the concentration REV10 and REV20, Oct4 expression was reduced at the 7 th day after reversine removal, supporting a possible reversine-induced change in lineage commitment. Moreover, Oct4 signalling is shown to be essential in reversine's activity. 3-Result in figure 3 is very clear. It well known that downregulation of brachury genes results in down regulation of different mesenchymal marker (e.g. SMA,Vimentin, Desmin) did the author analysis. the expression of this gene? Showing the regulation also of these downstream genes could strength this data and the paper. Answer: Yes, in summary, these data clearly suggested that reversine possess a dual activity as it promotes the dedifferentiate into stem-cell-like progenitors, but reduce brachyury expression and results in down regulation of different mesenchymal marker. 4-How can the author correlate the increase of expression of FLK-1 after a treatment with REV10 with the result obtained for Oct4 gene in figure 1 where the expression was affected only after treatment with REV40? Answer: Increase of expression of Flk-1 in DFAT cells indicates the potential of these cells to differentiate into cardiomyocytes. Results suggested that increasing concentration and time extended leads to the increasing level of Flk-1. However, level of Oct4 doesn’t incease, suggesting that mesochymal genes were difficulty up-regualated in this experiments. 5-The level of expressions of GATA4 and cTnT protein are essential to demonstrate the fully differentiation of stem-cell in cardiomyocyte. To strengthen his result the author has to show the immunofluorescence, to observe also if the cells have also the typical cardiac phenotype (expression of sarcomere, and the shape of the cells). Answer: Thank you for your suggestion, authors have added Figure 9 (Immunofluorescence of GATA4 in the cell culture) and Figure 10 (Immunofluorescence of cTnT in the cell culture) to support the results. 1-In figure 1 Author states that only 2% of cells are CD45 and CD35 +. While the figure confirms this data for CD35, for CD45 you can see in the figure around 30-40% of positive cells. How can this result be address? Also expression of DAPI is a key information if the percentage of positive cells needs to be established. Answer: According to our laboratory analysts, which is supported by Auto Image Analysis Toolbox Software, immunocytochemistry showed that the DFAT cell population showed positive expression (>95% luminescence of cells per field of view) of CD105 and CD90 and negative expression (<2% luminescence per field of view) of CD45 and CD34. 2-In figure 2 the author showed by RT-qPCR the expression of Oct4 after treatment with different concentration of REV and at different time. While for the highest concentration of REV40 is possible to observe a trend in the gene expression for the other 2 concentration REV10 and REV20 is observed a random expression during the time course. has the author an explanation for this result? If yes it could be important to be added in the manuscript. Answer: Although the expression of Oct4 is reduced with the concentration of Reversine and time extended, the cells had got sufficient differentiation potential. In the concentration REV10 and REV20, Oct4 expression was reduced at the 7 th day after reversine removal, supporting a possible reversine-induced change in lineage commitment. Moreover, Oct4 signalling is shown to be essential in reversine's activity. 3-Result in figure 3 is very clear. It well known that downregulation of brachury genes results in down regulation of different mesenchymal marker (e.g. SMA,Vimentin, Desmin) did the author analysis. the expression of this gene? Showing the regulation also of these downstream genes could strength this data and the paper. Answer: Yes, in summary, these data clearly suggested that reversine possess a dual activity as it promotes the dedifferentiate into stem-cell-like progenitors, but reduce brachyury expression and results in down regulation of different mesenchymal marker. 4-How can the author correlate the increase of expression of FLK-1 after a treatment with REV10 with the result obtained for Oct4 gene in figure 1 where the expression was affected only after treatment with REV40? Answer: Increase of expression of Flk-1 in DFAT cells indicates the potential of these cells to differentiate into cardiomyocytes. Results suggested that increasing concentration and time extended leads to the increasing level of Flk-1. However, level of Oct4 doesn’t incease, suggesting that mesochymal genes were difficulty up-regualated in this experiments. 5-The level of expressions of GATA4 and cTnT protein are essential to demonstrate the fully differentiation of stem-cell in cardiomyocyte. To strengthen his result the author has to show the immunofluorescence, to observe also if the cells have also the typical cardiac phenotype (expression of sarcomere, and the shape of the cells). Answer: Thank you for your suggestion, authors have added Figure 9 (Immunofluorescence of GATA4 in the cell culture) and Figure 10 (Immunofluorescence of cTnT in the cell culture) to support the results. Competing Interests: No competing interest to be disclosed Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 04 Apr 2024 Ricardo Adrian Nugraha , Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Dr. Soetomo Academic General Hospital, Surabaya, 60286, Indonesia 04 Apr 2024 Author Response 1-In figure 1 Author states that only 2% of cells are CD45 and CD35 +. While the figure confirms this data for CD35, for CD45 you can see in the ... Continue reading 1-In figure 1 Author states that only 2% of cells are CD45 and CD35 +. While the figure confirms this data for CD35, for CD45 you can see in the figure around 30-40% of positive cells. How can this result be address? Also expression of DAPI is a key information if the percentage of positive cells needs to be established. Answer: According to our laboratory analysts, which is supported by Auto Image Analysis Toolbox Software, immunocytochemistry showed that the DFAT cell population showed positive expression (>95% luminescence of cells per field of view) of CD105 and CD90 and negative expression (<2% luminescence per field of view) of CD45 and CD34. 2-In figure 2 the author showed by RT-qPCR the expression of Oct4 after treatment with different concentration of REV and at different time. While for the highest concentration of REV40 is possible to observe a trend in the gene expression for the other 2 concentration REV10 and REV20 is observed a random expression during the time course. has the author an explanation for this result? If yes it could be important to be added in the manuscript. Answer: Although the expression of Oct4 is reduced with the concentration of Reversine and time extended, the cells had got sufficient differentiation potential. In the concentration REV10 and REV20, Oct4 expression was reduced at the 7 th day after reversine removal, supporting a possible reversine-induced change in lineage commitment. Moreover, Oct4 signalling is shown to be essential in reversine's activity. 3-Result in figure 3 is very clear. It well known that downregulation of brachury genes results in down regulation of different mesenchymal marker (e.g. SMA,Vimentin, Desmin) did the author analysis. the expression of this gene? Showing the regulation also of these downstream genes could strength this data and the paper. Answer: Yes, in summary, these data clearly suggested that reversine possess a dual activity as it promotes the dedifferentiate into stem-cell-like progenitors, but reduce brachyury expression and results in down regulation of different mesenchymal marker. 4-How can the author correlate the increase of expression of FLK-1 after a treatment with REV10 with the result obtained for Oct4 gene in figure 1 where the expression was affected only after treatment with REV40? Answer: Increase of expression of Flk-1 in DFAT cells indicates the potential of these cells to differentiate into cardiomyocytes. Results suggested that increasing concentration and time extended leads to the increasing level of Flk-1. However, level of Oct4 doesn’t incease, suggesting that mesochymal genes were difficulty up-regualated in this experiments. 5-The level of expressions of GATA4 and cTnT protein are essential to demonstrate the fully differentiation of stem-cell in cardiomyocyte. To strengthen his result the author has to show the immunofluorescence, to observe also if the cells have also the typical cardiac phenotype (expression of sarcomere, and the shape of the cells). Answer: Thank you for your suggestion, authors have added Figure 9 (Immunofluorescence of GATA4 in the cell culture) and Figure 10 (Immunofluorescence of cTnT in the cell culture) to support the results. 1-In figure 1 Author states that only 2% of cells are CD45 and CD35 +. While the figure confirms this data for CD35, for CD45 you can see in the figure around 30-40% of positive cells. How can this result be address? Also expression of DAPI is a key information if the percentage of positive cells needs to be established. Answer: According to our laboratory analysts, which is supported by Auto Image Analysis Toolbox Software, immunocytochemistry showed that the DFAT cell population showed positive expression (>95% luminescence of cells per field of view) of CD105 and CD90 and negative expression (<2% luminescence per field of view) of CD45 and CD34. 2-In figure 2 the author showed by RT-qPCR the expression of Oct4 after treatment with different concentration of REV and at different time. While for the highest concentration of REV40 is possible to observe a trend in the gene expression for the other 2 concentration REV10 and REV20 is observed a random expression during the time course. has the author an explanation for this result? If yes it could be important to be added in the manuscript. Answer: Although the expression of Oct4 is reduced with the concentration of Reversine and time extended, the cells had got sufficient differentiation potential. In the concentration REV10 and REV20, Oct4 expression was reduced at the 7 th day after reversine removal, supporting a possible reversine-induced change in lineage commitment. Moreover, Oct4 signalling is shown to be essential in reversine's activity. 3-Result in figure 3 is very clear. It well known that downregulation of brachury genes results in down regulation of different mesenchymal marker (e.g. SMA,Vimentin, Desmin) did the author analysis. the expression of this gene? Showing the regulation also of these downstream genes could strength this data and the paper. Answer: Yes, in summary, these data clearly suggested that reversine possess a dual activity as it promotes the dedifferentiate into stem-cell-like progenitors, but reduce brachyury expression and results in down regulation of different mesenchymal marker. 4-How can the author correlate the increase of expression of FLK-1 after a treatment with REV10 with the result obtained for Oct4 gene in figure 1 where the expression was affected only after treatment with REV40? Answer: Increase of expression of Flk-1 in DFAT cells indicates the potential of these cells to differentiate into cardiomyocytes. Results suggested that increasing concentration and time extended leads to the increasing level of Flk-1. However, level of Oct4 doesn’t incease, suggesting that mesochymal genes were difficulty up-regualated in this experiments. 5-The level of expressions of GATA4 and cTnT protein are essential to demonstrate the fully differentiation of stem-cell in cardiomyocyte. To strengthen his result the author has to show the immunofluorescence, to observe also if the cells have also the typical cardiac phenotype (expression of sarcomere, and the shape of the cells). Answer: Thank you for your suggestion, authors have added Figure 9 (Immunofluorescence of GATA4 in the cell culture) and Figure 10 (Immunofluorescence of cTnT in the cell culture) to support the results. Competing Interests: No competing interest to be disclosed Close Report a concern COMMENT ON THIS REPORT Comments on this article Comments (0) Version 3 VERSION 3 PUBLISHED 28 Jul 2022 ADD YOUR COMMENT Comment keyboard_arrow_left keyboard_arrow_right Open Peer Review Reviewer Status info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Reviewer Reports Invited Reviewers 1 2 Version 3 (revision) 11 Jun 24 read Version 2 (revision) 22 Mar 24 read read Version 1 28 Jul 22 read Francesco Galli , The University of Manchester, Manchester, UK Jelena Milasin , University of Belgrade, Belgrade, Serbia Comments on this article All Comments (0) Add a comment Sign up for content alerts Sign Up You are now signed up to receive this alert Browse by related subjects keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2024 Milasin J. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 23 Jul 2024 | for Version 3 Jelena Milasin , Department of Human Genetics, School of Dental Medicine, University of Belgrade, Belgrade, Serbia 0 Views copyright © 2024 Milasin J. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The authors have addressed in a satisfactory way most of the issues raised by this reviewer and thus the paper has been considerably improved. Competing Interests No competing interests were disclosed. Reviewer Expertise stem cell studies (characterization, differentiation). I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (0) Milasin J. Peer Review Report For: Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.5256/f1000research.167666.r289885) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/11-851/v3#referee-response-289885 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2024 Milasin J. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 06 Jun 2024 | for Version 2 Jelena Milasin , Department of Human Genetics, School of Dental Medicine, University of Belgrade, Belgrade, Serbia 0 Views copyright © 2024 Milasin J. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The topic of the paper „Effects of different concentrations of reversine to enhance conversion of dedifferentiated fat cells into mature cardiomyocytes“, is interesting and relevant to the field of regenerative medicine. The authors have found that reversine, a purine-derivative, could stimulate the differentiation of DFAT cells into mature cardiomyocytes, as indicated by the higher expression of cardiac troponin T, a specific marker of cardiac muscle cells. Although the study is interesting, it has many imprecisions and linguistic flaws leading to ambiguities. Title: Rephrase slightly („Effects of different concentrations of reversine on the conversion of dedifferentiated fat cells into mature cardiomyocytes“). Introduction: Authors should cite the review article ( Mitrečić D.et.al., 2022 [Ref 1]) Authors must rephrase the following sentence as it is unclear: “... a higher percentage of the expressed quantity of the mesenchymal stem cell marker known as dedifferentiated fat (DFAT) cells”. It should be either “higher quantity” or “higher percentage” of expressed markers. And markers ARE NOT dedifferentiated cells. Delete “more” in the sentence “...the dedifferentiation of unipotent myoblast cells to progenitor cells, which are more multipotent”. In the next sentence delete “stem”. The sentence should read: „Reversine as an inductor of cell dedifferentiation...” “Aims” and “objectives” represent a redundancy. The two paragraphs should be merged, re-worded and shortened. M&M: It is unclear what was the number of patients whose adipose tissues were used for cell culturing. All units should be very carefully re-checked. For instance „A total of 30-50 L was then transferred” or “A total of 2 L reagent was added to the PCR tube, then 3 L RNA sample was added to the same PCR tube”- µ is missing; also “5.6 microns carrier RNA and 560 micros AVL buffer”-this is incorrect, etc. Additionally, authors say 30-50 microliters was transferred into 6-well plates. It changes a lot if there was 20 microliters in one and 50 microliters in another well. Correct this. What was done with DFAT after 15 minutes of incubation with reversine? Results: Under the subsection “Analysis of RT-qPCR for potential markers of DFAT”, there are some discrepancies. Authors say that Oct and Brachyury had lower average values than controls, and that for Flk it was the opposite, when even Flk had lower values compared to controls. Either correct this statement or the table. Maybe authors should merge this and the following subsection (as it also deals with relative expressions of Oct, brachyury and Flk genes) and harmonize them. The word “gene” is missing after Oct, brachyury, Flk (it should be Oct4 gene expression, etc.) The standard deviation bars are missing on the histograms It is unclear which cell passage (3 rd or 6 th ) treatments are given in the figures. It is not very clear what do the p values above the histogram actually connect. Figure 2. caption should be corrected (“Graph showing that Oct4 expression is highest in the control group, and decreased in the REV10, REV20 and REV40 groups”), because for REV10, on day 7, there is an increase. Discussion: Rather use the word “potency” instead of potential in this case, and correct “stem cell-ness” into “cell stemness”. The expression of Oct in this paper and the paper #34 is not really comparable, because the experimental settings are different. English language needs improvements. Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Partly Are sufficient details of methods and analysis provided to allow replication by others? Partly If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Partly Are the conclusions drawn adequately supported by the results? Partly References 1. Mitrečić D, Hribljan V, Jagečić D, Isaković J, et al.: Regenerative Neurology and Regenerative Cardiology: Shared Hurdles and Achievements. Int J Mol Sci . 2022; 23 (2). PubMed Abstract | Publisher Full Text Competing Interests No competing interests were disclosed. Reviewer Expertise stem cell studies (characterization, differentiation). I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 20 Jun 2024 Ricardo Adrian Nugraha, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Dr. Soetomo Academic General Hospital, Surabaya, 60286, Indonesia The topic of the paper „Effects of different concentrations of reversine to enhance conversion of dedifferentiated fat cells into mature cardiomyocytes“, is interesting and relevant to the field of regenerative medicine. The authors have found that reversine, a purine-derivative, could stimulate the differentiation of DFAT cells into mature cardiomyocytes, as indicated by the higher expression of cardiac troponin T, a specific marker of cardiac muscle cells. Although the study is interesting, it has many imprecisions and linguistic flaws leading to ambiguities. Title: Rephrase slightly („Effects of different concentrations of reversine on the conversion of dedifferentiated fat cells into mature cardiomyocytes“). Author response: thank you for your suggestion. We rephrased the title with “Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes” Introduction: Authors should cite the review article ( Mitrečić D.et.al., 2022 [Ref 1]) Author response: thank you for your suggestion. We cited the article you’ve suggested in the reference number 7. Authors must rephrase the following sentence as it is unclear: “... a higher percentage of the expressed quantity of the mesenchymal stem cell marker known as dedifferentiated fat (DFAT) cells”. It should be either “higher quantity” or “higher percentage” of expressed markers. And markers ARE NOT dedifferentiated cells. Author response: thank you for your feedback. We rephrased it with “… with a higher quantity of dedifferentiated fat (DFAT) cells” Delete “more” in the sentence “...the dedifferentiation of unipotent myoblast cells to progenitor cells, which are more multipotent”. In the next sentence delete “stem”. The sentence should read: „Reversine as an inductor of cell dedifferentiation...” Author response: thank you for your feedback. We deleted “more” and “stem” as you have suggested. “Aims” and “objectives” represent a redundancy. The two paragraphs should be merged, re-worded and shortened. Author response: thank you for your suggestion. We merged and shortened these two paragraphs into one. M&M: It is unclear what was the number of patients whose adipose tissues were used for cell culturing. Author response: we got it from one patient, a 39-years-old woman who underwent surgery for hernia. All units should be very carefully re-checked. For instance „A total of 30-50 L was then transferred” or “A total of 2 L reagent was added to the PCR tube, then 3 L RNA sample was added to the same PCR tube”- µ is missing; also “5.6 microns carrier RNA and 560 micros AVL buffer”-this is incorrect, etc. Author response: thank you for your very careful observation. We apologized for several missing words and errors. We have fixed it. Additionally, authors say 30-50 microliters was transferred into 6-well plates. It changes a lot if there was 20 microliters in one and 50 microliters in another well. Correct this. Author response: thank you for your very careful observation. Actually we used 30 µL. We have fixed it. We apologize for this error. What was done with DFAT after 15 minutes of incubation with reversine? Author response: The cells were pretreated with 10, 20, and 40 nM of reversine for 15 minutes, and then further induced under lineage-specific inducing condition in differentiation medium. Cells grown on coverslips were fixed with 4% paraformaldehyde. Then, we performed RT-qPCR for Oct4, brachyury and Flk-1 on days 7, 14 and 21 after the cells were exposed to differentiation medium. We performed quantification of dedifferentiating mature adipocytes and cardiomyocyte expression (GATA4 and cTnT) were performed by immunocytochemistry. Results: Under the subsection “Analysis of RT-qPCR for potential markers of DFAT”, there are some discrepancies. Authors say that Oct and Brachyury had lower average values than controls, and that for Flk it was the opposite, when even Flk had lower values compared to controls. Either correct this statement or the table. Author response: thank you for your careful observation and feedback. We apologize for the misunderstanding. We have corrected the table. The true statemet is reversine groups always have higher mean value of Flk than control group, with REV40 had the highest value of Flk-1. Maybe authors should merge this and the following subsection (as it also deals with relative expressions of Oct, brachyury and Flk genes) and harmonize them. Author response: thank you for your suggestion, we merged both and deleted the following subsections. The word “gene” is missing after Oct, brachyury, Flk (it should be Oct4 gene expression, etc.) Author response: thank you for your suggestion, we added “gene expression” The standard deviation bars are missing on the histograms Author response: thank you for your consideration and attention to this matter. We added the standard deviation bars on the histograms. It is unclear which cell passage (3 rd or 6 th ) treatments are given in the figures. Author response: we used the 6 th cell passage treatments for data analysis and figures. We will explain it in the manuscript. It is not very clear what do the p values above the histogram actually connect. Author response: thank you for your consideration and attention to this matter. We try to explain the p values clearer, as a comparison between each group of intervention, not between day . Figure 2. caption should be corrected (“Graph showing that Oct4 expression is highest in the control group, and decreased in the REV10, REV20 and REV40 groups”), because for REV10, on day 7, there is an increase. Author response: thank you for your suggestion, we have corrected the Figure 2 caption with “except on day 7”. Discussion: Rather use the word “potency” instead of potential in this case, and correct “stem cell-ness” into “cell stemness”. Author response: thank you for your suggestion, we replace the word “potential” with “potency” and “stem cell-ness” with “cell stemness” The expression of Oct in this paper and the paper #34 is not really comparable, because the experimental settings are different. Author response: we agreed with you, since there are several differences in the experimental setting, thus it couldn’t be compared. English language needs improvements. Author response: thank you for your suggestion. We have sent it to the proof language service to improve our grammars. View more View less Competing Interests No competing interests were disclosed. reply Respond Report a concern Milasin J. Peer Review Report For: Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.5256/f1000research.163823.r270562) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/11-851/v2#referee-response-270562 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2024 Galli F. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 09 Apr 2024 | for Version 2 Francesco Galli , The University of Manchester, Manchester, England, UK 0 Views copyright © 2024 Galli F. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The authors addressed the primary request from the initial review by including Immunofluorescence images of OCT4 and cTnT. Additionally, they enhanced the clarity and strength of the manuscript by improving the explanation of the results. Competing Interests No competing interests were disclosed. Reviewer Expertise Regenerative Medicine, gene/cell therapy, Muscular Dystrophy, Molecular and cell biology I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (1) Author Response 20 Jun 2024 Ricardo Adrian Nugraha, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Dr. Soetomo Academic General Hospital, Surabaya, 60286, Indonesia Thank you very much for your very constructive feedback. View more View less Competing Interests No competing interests were disclosed. reply Respond Report a concern Galli F. Peer Review Report For: Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.5256/f1000research.163823.r258434) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/11-851/v2#referee-response-258434 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2024 Galli F. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 22 Feb 2024 | for Version 1 Francesco Galli , The University of Manchester, Manchester, England, UK 0 Views copyright © 2024 Galli F. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The authors address an important issue in the heart disease therapy the need of novel approach for the regeneration of damage cardiomyocytes to reduce that factor that might worsen cardiac function. The approach of the author looks promising and easy to apply to cells. it addresses both the problem to have an easy and abundant cells' source (using adipose stem cells) and to have an easy protocol of de-differentiation using only one molecule (reversine) instead a cocktail of small molecules. While the study is of interest, there are few experimental concerns with this manuscript in its present form. 1-In figure 1 Author states that only 2% of cells are CD45 and CD35 +. While the figure confirms this data for CD35, for CD45 you can see in the figure around 30-40% of positive cells. How can this result be address? Also expression of DAPI is a key information if the percentage of positive cells needs to be established. 2-In figure 2 the author showed by RT-qPCR the expression of Oct4 after treatment with different concentration of REV and at different time. While for the highest concentration of REV40 is possible to observe a trend in the gene expression for the other 2 concentration REV10 and REV20 is observed a random expression during the time course. has the author an explanation for this result? If yes it could be important to be added in the manuscript. 3-Result in figure 3 is very clear. It well known that downregulation of brachury genes results in down regulation of different mesenchymal marker (e.g. SMA,Vimentin, Desmin) did the author analysis. the expression of this gene? Showing the regulation also of these downstream genes could strength this data and the paper. 4-How can the author correlate the increase of expression of FLK-1 after a treatment with REV10 with the result obtained for Oct4 gene in figure 1 where the expression was affected only after treatment with REV40? 5-The level of expressions of GATA4 and cTnT protein are essential to demonstrate the fully differentiation of stem-cell in cardiomyocyte. To strengthen his result the author has to show the immunofluorescence, to observe also if the cells have also the typical cardiac phenotype (expression of sarcomere, and the shape of the cells). Author wrote a paragraph about limitations, could be useful for the reader if these limitations are indicated in the results. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Partly Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? No Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Partly Competing Interests No competing interests were disclosed. Reviewer Expertise Regenerative Medicine, gene/cell therapy, Muscular Dystrophy, Molecular and cell biology I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 04 Apr 2024 Ricardo Adrian Nugraha, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Dr. Soetomo Academic General Hospital, Surabaya, 60286, Indonesia 1-In figure 1 Author states that only 2% of cells are CD45 and CD35 +. While the figure confirms this data for CD35, for CD45 you can see in the figure around 30-40% of positive cells. How can this result be address? Also expression of DAPI is a key information if the percentage of positive cells needs to be established. Answer: According to our laboratory analysts, which is supported by Auto Image Analysis Toolbox Software, immunocytochemistry showed that the DFAT cell population showed positive expression (>95% luminescence of cells per field of view) of CD105 and CD90 and negative expression (<2% luminescence per field of view) of CD45 and CD34. 2-In figure 2 the author showed by RT-qPCR the expression of Oct4 after treatment with different concentration of REV and at different time. While for the highest concentration of REV40 is possible to observe a trend in the gene expression for the other 2 concentration REV10 and REV20 is observed a random expression during the time course. has the author an explanation for this result? If yes it could be important to be added in the manuscript. Answer: Although the expression of Oct4 is reduced with the concentration of Reversine and time extended, the cells had got sufficient differentiation potential. In the concentration REV10 and REV20, Oct4 expression was reduced at the 7 th day after reversine removal, supporting a possible reversine-induced change in lineage commitment. Moreover, Oct4 signalling is shown to be essential in reversine's activity. 3-Result in figure 3 is very clear. It well known that downregulation of brachury genes results in down regulation of different mesenchymal marker (e.g. SMA,Vimentin, Desmin) did the author analysis. the expression of this gene? Showing the regulation also of these downstream genes could strength this data and the paper. Answer: Yes, in summary, these data clearly suggested that reversine possess a dual activity as it promotes the dedifferentiate into stem-cell-like progenitors, but reduce brachyury expression and results in down regulation of different mesenchymal marker. 4-How can the author correlate the increase of expression of FLK-1 after a treatment with REV10 with the result obtained for Oct4 gene in figure 1 where the expression was affected only after treatment with REV40? Answer: Increase of expression of Flk-1 in DFAT cells indicates the potential of these cells to differentiate into cardiomyocytes. Results suggested that increasing concentration and time extended leads to the increasing level of Flk-1. However, level of Oct4 doesn’t incease, suggesting that mesochymal genes were difficulty up-regualated in this experiments. 5-The level of expressions of GATA4 and cTnT protein are essential to demonstrate the fully differentiation of stem-cell in cardiomyocyte. To strengthen his result the author has to show the immunofluorescence, to observe also if the cells have also the typical cardiac phenotype (expression of sarcomere, and the shape of the cells). Answer: Thank you for your suggestion, authors have added Figure 9 (Immunofluorescence of GATA4 in the cell culture) and Figure 10 (Immunofluorescence of cTnT in the cell culture) to support the results. View more View less Competing Interests No competing interest to be disclosed reply Respond Report a concern Galli F. Peer Review Report For: Reversine enhances the conversion of dedifferentiated fat cells into mature cardiomyocytes [version 3; peer review: 2 approved] . F1000Research 2024, 11 :851 ( https://doi.org/10.5256/f1000research.134822.r243563) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/11-851/v1#referee-response-243563 Alongside their report, reviewers assign a status to the article: Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions Adjust parameters to alter display View on desktop for interactive features Includes Interactive Elements View on desktop for interactive features Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list: Examples of 'Non-Financial Competing Interests' Within the past 4 years, you have held joint grants, published or collaborated with any of the authors of the selected paper. You have a close personal relationship (e.g. parent, spouse, sibling, or domestic partner) with any of the authors. You are a close professional associate of any of the authors (e.g. scientific mentor, recent student). You work at the same institute as any of the authors. You hope/expect to benefit (e.g. favour or employment) as a result of your submission. You are an Editor for the journal in which the article is published. Examples of 'Financial Competing Interests' You expect to receive, or in the past 4 years have received, any of the following from any commercial organisation that may gain financially from your submission: a salary, fees, funding, reimbursements. You expect to receive, or in the past 4 years have received, shared grant support or other funding with any of the authors. You hold, or are currently applying for, any patents or significant stocks/shares relating to the subject matter of the paper you are commenting on. Stay Updated Sign up for content alerts and receive a weekly or monthly email with all newly published articles Register with F1000Research Already registered? Sign in Not now, thanks close PLEASE NOTE If you are an AUTHOR of this article, please check that you signed in with the account associated with this article otherwise we cannot automatically identify your role as an author and your comment will be labelled as a “User Comment”. If you are a REVIEWER of this article, please check that you have signed in with the account associated with this article and then go to your account to submit your report, please do not post your review here. If you do not have access to your original account, please contact us . All commenters must hold a formal affiliation as per our Policies . The information that you give us will be displayed next to your comment. User comments must be in English, comprehensible and relevant to the article under discussion. We reserve the right to remove any comments that we consider to be inappropriate, offensive or otherwise in breach of the User Comment Terms and Conditions . Commenters must not use a comment for personal attacks. When criticisms of the article are based on unpublished data, the data should be made available. I accept the User Comment Terms and Conditions Please confirm that you accept the User Comment Terms and Conditions. Affiliation ✕ refresh Please enter your institution. Note: To add your institution or organisation, start typing the name and then select the correct name from the list. Where applicable, the name will appear in both the original language and in English. Do not paste in the name. If the name does not appear in the drop-down list, we will display the information you have entered. ✕ refresh Country/Region * USA UK Canada China France Germany Afghanistan Aland Islands Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory British Virgin Islands Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Cook Islands Costa Rica Cote d'Ivoire Croatia Cuba Cyprus Czech Republic Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands Faroe Islands Federated States of Micronesia Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Heard Island and Mcdonald Islands Holy See (Vatican City State) Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Kosovo (Serbia and Montenegro) Kuwait Kyrgyzstan Lao People's Democratic Republic Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macao Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Minor Outlying Islands of the United States Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands Antilles New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island North Korea North Macedonia Northern Mariana Islands Norway Oman Pakistan Palau Palestinian Territory Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Puerto Rico Qatar Reunion Romania Russian Federation Rwanda Saint Helena Saint Kitts and Nevis Saint Lucia Saint Pierre and Miquelon Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and the South Sandwich Is South Korea South Sudan Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand The Gambia The Netherlands Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu UK USA Uganda Ukraine United Arab Emirates United States Virgin Islands Uruguay Uzbekistan Vanuatu Venezuela Vietnam Wallis and Futuna West Bank and Gaza Strip Western Sahara Yemen Zambia Zimbabwe Please select your country/region. You must enter a comment. Competing Interests Please disclose any competing interests that might be construed to influence your judgment of the article's or peer review report's validity or importance. Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list: Examples of 'Non-Financial Competing Interests' Within the past 4 years, you have held joint grants, published or collaborated with any of the authors of the selected paper. You have a close personal relationship (e.g. parent, spouse, sibling, or domestic partner) with any of the authors. You are a close professional associate of any of the authors (e.g. scientific mentor, recent student). You work at the same institute as any of the authors. You hope/expect to benefit (e.g. favour or employment) as a result of your submission. You are an Editor for the journal in which the article is published. Examples of 'Financial Competing Interests' You expect to receive, or in the past 4 years have received, any of the following from any commercial organisation that may gain financially from your submission: a salary, fees, funding, reimbursements. You expect to receive, or in the past 4 years have received, shared grant support or other funding with any of the authors. You hold, or are currently applying for, any patents or significant stocks/shares relating to the subject matter of the paper you are commenting on. Please state your competing interests The comment has been saved. An error has occurred. Please try again. Cancel Post var lTitle = "Reversine enhances the conversion of dedifferentiated...".replace("'", ''); var linkedInUrl = "http://www.linkedin.com/shareArticle?url=https://f1000research.com/articles/11-851/v3" + "&title=" + encodeURIComponent(lTitle) + "&summary=" + encodeURIComponent('Read the article by '); var deliciousUrl = "https://del.icio.us/post?url=https://f1000research.com/articles/11-851/v3&title=" + encodeURIComponent(lTitle); var redditUrl = "http://reddit.com/submit?url=https://f1000research.com/articles/11-851/v3" + "&title=" + encodeURIComponent(lTitle); linkedInUrl += encodeURIComponent('Dharmadjati BB et al.'); var offsetTop = /chrome/i.test( navigator.userAgent ) ? 4 : -10; var addthis_config = { ui_offset_top: offsetTop, services_compact : "facebook,twitter,www.linkedin.com,www.mendeley.com,reddit.com", services_expanded : "facebook,twitter,www.linkedin.com,www.mendeley.com,reddit.com", services_custom : [ { name: "LinkedIn", url: linkedInUrl, icon:"/img/icon/at_linkedin.svg" }, { name: "Mendeley", url: "http://www.mendeley.com/import/?url=https://f1000research.com/articles/11-851/v3/mendeley", icon:"/img/icon/at_mendeley.svg" }, { name: "Reddit", url: redditUrl, icon:"/img/icon/at_reddit.svg" }, ] }; var addthis_share = { url: "https://f1000research.com/articles/11-851", templates : { twitter : "Reversine enhances the conversion of dedifferentiated fat cells.... Dharmadjati BB et al., published by " + "@F1000Research" + ", https://f1000research.com/articles/11-851/v3" } }; if (typeof(addthis) != "undefined"){ addthis.addEventListener('addthis.ready', checkCount); addthis.addEventListener('addthis.menu.share', checkCount); } $(".f1r-shares-twitter").attr("href", "https://twitter.com/intent/tweet?text=" + addthis_share.templates.twitter); $(".f1r-shares-facebook").attr("href", "https://www.facebook.com/sharer/sharer.php?u=" + addthis_share.url); $(".f1r-shares-linkedin").attr("href", addthis_config.services_custom[0].url); $(".f1r-shares-reddit").attr("href", addthis_config.services_custom[2].url); $(".f1r-shares-mendelay").attr("href", addthis_config.services_custom[1].url); function checkCount(){ setTimeout(function(){ $(".addthis_button_expanded").each(function(){ var count = $(this).text(); if (count !== "" && count != "0") $(this).removeClass("is-hidden"); else $(this).addClass("is-hidden"); }); }, 1000); } close How to cite this report {{reportCitation}} Cancel Copy Citation Details $(function(){R.ui.buttonDropdowns('.dropdown-for-downloads');}); $(function(){R.ui.toolbarDropdowns('.toolbar-dropdown-for-downloads');}); $.get("/articles/acj/122788/167666") new F1000.Clipboard(); new F1000.ThesaurusTermsDisplay("articles", "article", "167666"); $(document).ready(function() { $( "#frame1" ).on('load', function() { var mydiv = $(this).contents().find("div"); var h = mydiv.height(); console.log(h) }); var tooltipLivingFigure = jQuery(".interactive-living-figure-label .icon-more-info"), titleLivingFigure = tooltipLivingFigure.attr("title"); tooltipLivingFigure.simpletip({ fixed: true, position: ["-115", "30"], baseClass: 'small-tooltip', content:titleLivingFigure + " " }); tooltipLivingFigure.removeAttr("title"); $("body").on("click", ".cite-living-figure", function(e) { e.preventDefault(); var ref = $(this).attr("data-ref"); $(this).closest(".living-figure-list-container").find("#" + ref).fadeIn(200); }); $("body").on("click", ".close-cite-living-figure", function(e) { e.preventDefault(); $(this).closest(".popup-window-wrapper").fadeOut(200); }); $(document).on("mouseup", function(e) { var metricsContainer = $(".article-metrics-popover-wrapper"); if (!metricsContainer.is(e.target) && metricsContainer.has(e.target).length === 0) { $(".article-metrics-close-button").click(); } }); var articleId = $('#articleId').val(); if($("#main-article-count-box").attachArticleMetrics) { $("#main-article-count-box").attachArticleMetrics(articleId, { articleMetricsView: true }); } }); var figshareWidget = $(".new_figshare_widget"); if (figshareWidget.length > 0) { window.figshare.load("f1000", function(Widget) { // Select a tag/tags defined in your page. In this tag we will place the widget. _.map(figshareWidget, function(el){ var widget = new Widget({ articleId: $(el).attr("figshare_articleId") //height:300 // this is the height of the viewer part. [Default: 550] }); widget.initialize(); // initialize the widget widget.mount(el); // mount it in a tag that's on your page // this will save the widget on the global scope for later use from // your JS scripts. This line is optional. //window.widget = widget; }); }); } close Error Close Add Reset F1000.MICROSERVICES.AFFILIATION = ''; $(document).ready(function () { $('.js-affiliations-form').each((index, form) => { new AffiliationForm({ formId: form.id, institutionErrorSelector: '.comment-enter-institution', departmentErrorSelector: '.comment-enter-department', placeSelector: '.js-add-comment-place', stateSelector: '.js-add-comment-state', zipCodeSelector: '.js-add-comment-zipcode', countrySelector: '.js-add-comment-country', countryErrorSelector: '.comment-enter-country', }); }); }); $(document).ready(function () { var reportIds = { "224259": 0, "248835": 0, "321028": 0, "224258": 0, "248834": 0, "321029": 0, "224257": 0, "248833": 0, "321030": 0, "224256": 0, "248832": 0, "321031": 0, "224263": 0, "248839": 0, "224262": 0, "224261": 0, "248837": 0, "224260": 0, "248836": 0, "321027": 0, "321036": 0, "248842": 0, "248841": 0, "248840": 0, "321032": 0, "321033": 0, "321034": 0, "321035": 0, "317204": 0, "260626": 0, "317205": 0, "317206": 0, "317207": 0, "260631": 0, "260630": 0, "260628": 0, "260635": 0, "317212": 0, "260634": 0, "317208": 0, "260638": 0, "317209": 0, "260637": 0, "317210": 0, "260636": 0, "317211": 0, "260641": 0, "327462": 0, "327463": 0, "161622": 0, "149079": 0, "161623": 0, "161620": 0, "161621": 0, "283740": 0, "289884": 0, "283741": 0, "289885": 7, "283742": 0, "161624": 0, "283743": 0, "283748": 0, "283749": 0, "283744": 0, "283745": 0, "283746": 0, "283747": 0, "243563": 23, "243567": 0, "243566": 0, "243565": 0, "243564": 0, "243571": 0, "243570": 0, "243569": 0, "243568": 0, "243572": 0, "258434": 10, "302759": 0, "302764": 0, "302765": 0, "302766": 0, "302760": 0, "302761": 0, "302762": 0, "302763": 0, "306373": 0, "306374": 0, "306375": 0, "306380": 0, "306382": 0, "145870": 0, "306376": 0, "306377": 0, "145868": 0, "306378": 0, "145869": 0, "306379": 0, "306384": 0, "270558": 0, "152280": 0, "270559": 0, "153311": 0, "153312": 0, "153313": 0, "270560": 0, "270561": 0, "270562": 12, "270573": 0, "146155": 0, "270574": 0, "270575": 0, "146156": 0, "146157": 0, "270576": 0, "224255": 0, "224254": 0, "270587": 0, }; $(".referee-response-container,.js-referee-report").each(function(index, el) { var reportId = $(el).attr("data-reportid"), reportCount = reportIds[reportId] || 0; $(el).find(".comments-count-container,.js-referee-report-views").html(reportCount); }); var uuidInput = $("#article_uuid"), oldUUId = uuidInput.val(), newUUId = "e6a1d586-76d6-444a-80e9-df5497a7051b"; uuidInput.val(newUUId); $("a[href*='article_uuid=']").each(function(index, el) { var newHref = $(el).attr("href").replace(oldUUId, newUUId); $(el).attr("href", newHref); }); }); An innovative open access publishing platform offering rapid publication and open peer review, whilst supporting data deposition and sharing. Browse Gateways Collections How it Works Contact For Developers Cookie Notice Privacy Notice RSS Submit Your Research Follow us © 2012-2026 F1000 Research Ltd. ISSN 2046-1402 | Legal | Partner of Research4Life • CrossRef • ORCID • FAIRSharing R.templateTests.simpleTemplate = R.template(' $text $text $text $text $text '); R.templateTests.runTests(); var F1000platform = new F1000.Platform({ name: "f1000research", displayName: "F1000Research", hostName: "f1000research.com", id: "1", editorialEmail: "
[email protected]", infoEmail: "
[email protected]", usePmcStats: true }); $(function(){R.ui.dropdowns('.dropdown-for-authors, .dropdown-for-about, .dropdown-for-myresearch');}); // $(function(){R.ui.dropdowns('.dropdown-for-referees');}); $(document).ready(function () { if ($(".cookie-warning").is(":visible")) { $(".sticky").css("margin-bottom", "35px"); $(".devices").addClass("devices-and-cookie-warning"); } $(".cookie-warning .close-button").click(function (e) { $(".devices").removeClass("devices-and-cookie-warning"); $(".sticky").css("margin-bottom", "0"); }); $("#tweeter-feed .tweet-message").each(function (i, message) { var self = $(message); self.html(linkify(self.html())); }); $(".partner").on("mouseenter mouseleave", function() { $(this).find(".gray-scale, .colour").toggleClass("is-hidden"); }); }); Sign In Remember me Forgotten your password? Sign In Cancel Email or password not correct. Please try again Please wait... $(function(){ // Note: All the setup needs to run against a name attribute and *not* the id due the clonish // nature of facebox... $("a[id=googleSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("GOOGLE"); $("form[id=oAuthForm]").submit(); }); $("a[id=facebookSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("FACEBOOK"); $("form[id=oAuthForm]").submit(); }); $("a[id=orcidSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("ORCID"); $("form[id=oAuthForm]").submit(); }); }); If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password. The email address should be the one you originally registered with F1000. Email address not valid, please try again You registered with F1000 via Google, so we cannot reset your password. To sign in, please click here . If you still need help with your Google account password, please click here . You registered with F1000 via Facebook, so we cannot reset your password. To sign in, please click here . If you still need help with your Facebook account password, please click here . Code not correct, please try again Reset password Cancel Email us for further assistance. Server error, please try again. If your email address is registered with us, we will email you instructions to reset your password. If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance. Please wait... Register $(document).ready(function () { signIn.createSignInAsRow($("#sign-in-form-gfb-popup")); $(".target-field").each(function () { var uris = $(this).val().split("/"); if (uris.pop() === "login") { $(this).val(uris.toString().replace(",","/")); } }); });
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.