Exploring the Antidepressant Mechanism of Codonopsis pilosula through Network Pharmacology and Molecular Docking Analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (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;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Exploring the Antidepressant Mechanism of Codonopsis pilosula through Network Pharmacology and Molecular Docking Analysis Mu Lin, Jiangrong Liao, Yadong Gong, Ran Xiao, Mubo Liu, Huihong Ding, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4706131/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Objective To investigate the antidepressant properties and underlying mechanisms of Codonopsis pilosula using network pharmacology and molecular docking analysis. Methods The principal constituents of Codonopsis pilosula were identified from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Genecards and the Online Mendelian Human Inheritance Database (OMIM) were utilized to gather genes associated with depression. Subsequently, Cytoscape software and the STRING database were employed to construct a components-targets network and protein interaction network models for Codonopsis pilosula. The DAVID database was applied for Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the targets, while Autodock software was utilized for molecular docking of the primary active compounds of Codonopsis pilosula with its key targets. Results This investigation identified 18 primary components in Codonopsis pilosula, which have the potential to modulate numerous targets and impact 57 signaling pathways. Through integration of prior research findings and molecular docking validation, it was observed that Lobetyolin, the key constituent of Codonopsis pilosula, exhibits binding affinity with the pivotal target Tumor Protein P53 (TP53). Conclusion The findings suggest that Codonopsis pilosula may elicit antidepressant effects through a multi-component, multi-target, and multi-pathway approach, laying a foundation for further exploration and clinical utilization of Codonopsis pilosula in the prevention and management of depression. Depression Codonopsis pilosula Network pharmacology Apoptosis TP53/PI3K-AKT signaling pathway Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4706131","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":336018679,"identity":"a33b0844-78de-4513-b7af-cc7c4b217e8d","order_by":0,"name":"Mu Lin","email":"","orcid":"","institution":"Guizhou Aerospace Hospital","correspondingAuthor":false,"prefix":"","firstName":"Mu","middleName":"","lastName":"Lin","suffix":""},{"id":336018680,"identity":"ad9eaa04-cb5b-4522-86dd-47f69f226fa0","order_by":1,"name":"Jiangrong Liao","email":"","orcid":"","institution":"Guizhou Aerospace Hospital","correspondingAuthor":false,"prefix":"","firstName":"Jiangrong","middleName":"","lastName":"Liao","suffix":""},{"id":336018681,"identity":"10a423bc-b16b-4256-a361-369ae3085ad1","order_by":2,"name":"Yadong Gong","email":"","orcid":"","institution":"Guizhou Aerospace Hospital","correspondingAuthor":false,"prefix":"","firstName":"Yadong","middleName":"","lastName":"Gong","suffix":""},{"id":336018682,"identity":"af59a22b-3c01-44dc-b6ea-35930951c77f","order_by":3,"name":"Ran Xiao","email":"","orcid":"","institution":"Guizhou Aerospace Hospital","correspondingAuthor":false,"prefix":"","firstName":"Ran","middleName":"","lastName":"Xiao","suffix":""},{"id":336018683,"identity":"4254d839-6a91-43dd-b3c1-c8948d9c21eb","order_by":4,"name":"Mubo Liu","email":"","orcid":"","institution":"Guizhou Aerospace Hospital","correspondingAuthor":false,"prefix":"","firstName":"Mubo","middleName":"","lastName":"Liu","suffix":""},{"id":336018684,"identity":"214fcd02-986f-405a-a1f3-612879669880","order_by":5,"name":"Huihong Ding","email":"","orcid":"","institution":"Shougang Shuigang Hospital","correspondingAuthor":false,"prefix":"","firstName":"Huihong","middleName":"","lastName":"Ding","suffix":""},{"id":336018685,"identity":"ae170814-b0a0-4d29-838a-c9814dfdad28","order_by":6,"name":"Qingqing Ma","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0klEQVRIiWNgGAWjYBACNmb+x49/VNjw2B9vPkCcFj72HjZjhjNpcgxnjiUQp0WO5wyDNGPbIWOGGzkGRDpMIveAcWHbgcTGhpyPN94w2MnpNhDUkpfweMa5O4nNDGc3W85hSDY2O0BQS4KBAU/Zs8Q2xt5t0jwMBxK3EaNFgoftcGIPM88zIrXwnDGQ5mk7bCzBxsNGpBb2tjTDGcBANuBhM7acY0CEX+SbmQ8/+ACMSgP5xw9vvKmwkyOoBQVI8BAZNchaSNUxCkbBKBgFIwIAADyoQsaAqhpeAAAAAElFTkSuQmCC","orcid":"","institution":"Guizhou Aerospace Hospital","correspondingAuthor":true,"prefix":"","firstName":"Qingqing","middleName":"","lastName":"Ma","suffix":""}],"badges":[],"createdAt":"2024-07-08 14:06:11","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4706131/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4706131/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":71302014,"identity":"028b575a-5821-4383-bdcd-f4800f5ecdeb","added_by":"auto","created_at":"2024-12-13 05:38:49","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":938672,"visible":true,"origin":"","legend":"","description":"","filename":"manuscriptwhole.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4706131/v1_covered_1ac08386-5d3a-42c3-8f74-692e19cfe22b.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Exploring the Antidepressant Mechanism of Codonopsis pilosula through Network Pharmacology and Molecular Docking Analysis","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Depression, Codonopsis pilosula, Network pharmacology, Apoptosis, TP53/PI3K-AKT signaling pathway","lastPublishedDoi":"10.21203/rs.3.rs-4706131/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4706131/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eObjective\u003c/h2\u003e \u003cp\u003eTo investigate the antidepressant properties and underlying mechanisms of Codonopsis pilosula using network pharmacology and molecular docking analysis.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eThe principal constituents of Codonopsis pilosula were identified from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Genecards and the Online Mendelian Human Inheritance Database (OMIM) were utilized to gather genes associated with depression. Subsequently, Cytoscape software and the STRING database were employed to construct a components-targets network and protein interaction network models for Codonopsis pilosula. The DAVID database was applied for Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the targets, while Autodock software was utilized for molecular docking of the primary active compounds of Codonopsis pilosula with its key targets.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThis investigation identified 18 primary components in Codonopsis pilosula, which have the potential to modulate numerous targets and impact 57 signaling pathways. Through integration of prior research findings and molecular docking validation, it was observed that Lobetyolin, the key constituent of Codonopsis pilosula, exhibits binding affinity with the pivotal target Tumor Protein P53 (TP53).\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eThe findings suggest that Codonopsis pilosula may elicit antidepressant effects through a multi-component, multi-target, and multi-pathway approach, laying a foundation for further exploration and clinical utilization of Codonopsis pilosula in the prevention and management of depression.\u003c/p\u003e","manuscriptTitle":"Exploring the Antidepressant Mechanism of Codonopsis pilosula through Network Pharmacology and Molecular Docking Analysis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-08-07 11:54:24","doi":"10.21203/rs.3.rs-4706131/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"d8ec571e-09d4-40a7-a362-744863f93f92","owner":[],"postedDate":"August 7th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-12-13T05:38:27+00:00","versionOfRecord":[],"versionCreatedAt":"2024-08-07 11:54:24","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4706131","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4706131","identity":"rs-4706131","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
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.