Potential Mechanism of Tibetan Medicine Dali in the Treatment of Respiratory Diseases via Network Pharmacology

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher
AI-generated summary by claude@2026-07, 2026-07-14

Network pharmacology identified 46 common targets between Rhododendron anthopogonoides Maxim and respiratory diseases, implicating pathways like Toll-like receptor and TNF signaling in its anti-inflammatory and immune-regulating therapeutic effects.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

AI-generated deep summary by claude@2026-07, 2026-07-14 · read from full text

This paper uses network pharmacology to investigate the active components and putative molecular targets of the Tibetan medicine Dali (Rhododendron anthopogonoides Maxim) for respiratory diseases, focusing on acute lung injury (ALI) and acute respiratory distress syndrome (ARDS). The authors identified 92 RAM active components, mapped predicted protein/gene targets using TCMSP (UniProt-normalized), and intersected these with ALI/ARDS-related genes from OMIM and GeneCards, then built and analyzed a “Component-Target-Protein” network in Cytoscape with core target support from STRING, followed by GO and KEGG enrichment. They report 176 ALI/ARDS gene targets with 46 common targets linked to inflammation/immune responses and processes such as cell growth/differentiation and apoptosis, with pathway enrichment including Toll-like receptor signaling, TNF signaling, and NF-κB–dependent inflammatory cytokine expression. The main stated limitation is that the work is a preprint relying on in silico/network predictions rather than experimentally validated mechanisms. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Abstract As a source of Tibetan medicine “Dali”, Rhododendron anthopogonoides Maxim (RAM) has good medically helpful effect on respiratory diseases. However, the pharmacological and pharmacodynamic research on its active components is still scarce. In order to solve this problem, the research method of network pharmacology is used. The active components of RAM were obtained by searching the relevant literatures, and the protein targets of RAM were screened by Traditional Chinese Medicine Database and Analysis Platform (TCMSP) with normalizing to the gene name through UniProt. Genes related to acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) were searched by Online Mendelian Inheritance in Man (OMIM) database and GeneCards database. The “Component-Target-Protein” network was established by Cytoscape software, and the core targets were screened by combining with STRING. And then the targets were analyzed for Gene Ontology function (GO) and Kyoto Encyclopedia of Genes and Genomes database (KEGG) pathway enrichment. We found 92 active components of RAM and 176 gene targets of ALI/ARDS were screened, including 46 common targets, which were related to biological processes such as inflammation, immune and inflammatory response, cell growth and differentiation and apoptosis. In conclusion, RAM regulates a variety of physiological processes such as cell growth, differentiation, apoptosis and death by activating the Toll-like receptor signaling pathway, TNF signaling pathway and etc., as well as regulating the inflammatory response of cells, the immune response of the body and promoting the inflammatory cytokines NF‐κB dependent expression and other processes to treat ALI/ARDS. This study revealed the mechanism of RAM multi-component, multi-target and multi-pathway, and provided scientific basis and research ideas for its clinical application.
Full text 13,865 characters · extracted from preprint-html · click to expand
Potential Mechanism of Tibetan Medicine Dali in the Treatment of Respiratory Diseases via Network Pharmacology | 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 Potential Mechanism of Tibetan Medicine Dali in the Treatment of Respiratory Diseases via Network Pharmacology Yuxin Fan, Yong Yang, Yunhong Wang, Jirui Wang, Lei Hua, Xiaomei Zhang, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-903361/v2 This work is licensed under a CC BY 4.0 License Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Abstract As a source of Tibetan medicine “Dali”, Rhododendron anthopogonoides Maxim (RAM) has good medically helpful effect on respiratory diseases. However, the pharmacological and pharmacodynamic research on its active components is still scarce. In order to solve this problem, the research method of network pharmacology is used. The active components of RAM were obtained by searching the relevant literatures, and the protein targets of RAM were screened by Traditional Chinese Medicine Database and Analysis Platform (TCMSP) with normalizing to the gene name through UniProt. Genes related to acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) were searched by Online Mendelian Inheritance in Man (OMIM) database and GeneCards database. The “Component-Target-Protein” network was established by Cytoscape software, and the core targets were screened by combining with STRING. And then the targets were analyzed for Gene Ontology function (GO) and Kyoto Encyclopedia of Genes and Genomes database (KEGG) pathway enrichment. We found 92 active components of RAM and 176 gene targets of ALI/ARDS were screened, including 46 common targets, which were related to biological processes such as inflammation, immune and inflammatory response, cell growth and differentiation and apoptosis. In conclusion, RAM regulates a variety of physiological processes such as cell growth, differentiation, apoptosis and death by activating the Toll-like receptor signaling pathway, TNF signaling pathway and etc., as well as regulating the inflammatory response of cells, the immune response of the body and promoting the inflammatory cytokines NF‐κB dependent expression and other processes to treat ALI/ARDS. This study revealed the mechanism of RAM multi-component, multi-target and multi-pathway, and provided scientific basis and research ideas for its clinical application. Clinical Pharmacology Network pharmacology Rhododendron anthopogonoides acute lung injury/acute respiratory distress syndrome action mechanism Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 2 posted You are reading this latest preprint version Show more versions 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-903361","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":53615131,"identity":"b7b61fb2-e36d-4729-b1a7-ca1d9fda51a4","order_by":0,"name":"Yuxin Fan","email":"","orcid":"https://orcid.org/0000-0003-1561-1472","institution":"Chongqing Academy of Chinese Materia Medica","correspondingAuthor":false,"prefix":"","firstName":"Yuxin","middleName":"","lastName":"Fan","suffix":""},{"id":53615132,"identity":"c110b429-96bc-4c83-a8cf-4bd5b4468e39","order_by":1,"name":"Yong Yang","email":"","orcid":"","institution":"Chongqing Academy of Chinese Materia Medica","correspondingAuthor":false,"prefix":"","firstName":"Yong","middleName":"","lastName":"Yang","suffix":""},{"id":53615133,"identity":"632c8da3-2878-4c34-b624-8a85feee149d","order_by":2,"name":"Yunhong Wang","email":"","orcid":"","institution":"Chongqing Academy of Chinese Materia Medica","correspondingAuthor":false,"prefix":"","firstName":"Yunhong","middleName":"","lastName":"Wang","suffix":""},{"id":53615134,"identity":"1181c433-5c0f-4f62-af41-99b950990b64","order_by":3,"name":"Jirui Wang","email":"","orcid":"","institution":"Chongqing Academy of Chinese Materia Medica","correspondingAuthor":false,"prefix":"","firstName":"Jirui","middleName":"","lastName":"Wang","suffix":""},{"id":53615135,"identity":"d90524db-b351-4da7-bea8-027e5eca8558","order_by":4,"name":"Lei Hua","email":"","orcid":"","institution":"Chongqing Academy of Chinese Materia Medica","correspondingAuthor":false,"prefix":"","firstName":"Lei","middleName":"","lastName":"Hua","suffix":""},{"id":53615136,"identity":"88095847-e5bf-4f94-aa05-88e74fc43fff","order_by":5,"name":"Xiaomei Zhang","email":"","orcid":"","institution":"Chongqing Academy of Chinese Materia Medica","correspondingAuthor":false,"prefix":"","firstName":"Xiaomei","middleName":"","lastName":"Zhang","suffix":""},{"id":53615137,"identity":"95b00c27-32e8-4111-ae7c-7590624ffbad","order_by":6,"name":"Sijia Gao","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABB0lEQVRIiWNgGAWjYLCCBB4JBn4IkxkqxEaEFskGZogWHqK0gIDBAWK1yLsfPvzhgYyFvPH588ckGGqsE/ezn05g+FB2mIF/dgNWLYZn0tIkgA4z3HYjmU2C4Vh6Yg9P7gbGGecOM0jcOYBdS0OOGcgvjNtuMLNJMDYcTuyR4N3AzNt2mMFAIgG7lv43xh+AWuw39x9G0vIXjxZ5iRwDkMMSNzAkI2lhxKPFQOIZ2C/JM24kG1skHEs37jmTu+Fgz7l0HokbOGzpTz788WdPnW1//8GHNz7UWMu2t5/d+OBHmbUc/wwctoBChbEHyoOpAQnyYFUPsqUBRP7AJT0KRsEoGAWjAAgAzy5Zz0ghGSgAAAAASUVORK5CYII=","orcid":"","institution":"Chongqing Academy of Chinese Materia Medica","correspondingAuthor":true,"prefix":"","firstName":"Sijia","middleName":"","lastName":"Gao","suffix":""}],"badges":[],"createdAt":"2021-09-14 11:05:09","currentVersionCode":2,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-903361/v2","doiUrl":"https://doi.org/10.21203/rs.3.rs-903361/v2","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":72421098,"identity":"820e6dbe-cdd8-4671-94ef-5a4f468102c1","added_by":"auto","created_at":"2024-12-27 00:41:37","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":950361,"visible":true,"origin":"","legend":"","description":"","filename":"manuscriptBioMedResearchInternational.pdf","url":"https://assets-eu.researchsquare.com/files/rs-903361/v2_covered_a92d69e6-c1fe-453f-bd52-65d3b6fd5ed3.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003ePotential Mechanism of Tibetan Medicine Dali in the Treatment of Respiratory Diseases via Network Pharmacology\u003c/strong\u003e\u003c/p\u003e","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":"Network pharmacology, Rhododendron anthopogonoides, acute lung injury/acute respiratory distress syndrome, action mechanism","lastPublishedDoi":"10.21203/rs.3.rs-903361/v2","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-903361/v2","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eAs a source of Tibetan medicine “Dali”, Rhododendron anthopogonoides Maxim (RAM) has good medically helpful effect on respiratory diseases. However, the pharmacological and pharmacodynamic research on its active components is still scarce. In order to solve this problem, the research method of network pharmacology is used. The active components of RAM were obtained by searching the relevant literatures, and the protein targets of RAM were screened by Traditional Chinese Medicine Database and Analysis Platform (TCMSP) with normalizing to the gene name through UniProt. Genes related to acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) were searched by Online Mendelian Inheritance in Man (OMIM) database and GeneCards database. The “Component-Target-Protein” network was established by Cytoscape software, and the core targets were screened by combining with STRING. And then the targets were analyzed for Gene Ontology function (GO) and Kyoto Encyclopedia of Genes and Genomes database (KEGG) pathway enrichment. We found 92 active components of RAM and 176 gene targets of ALI/ARDS were screened, including 46 common targets, which were related to biological processes such as inflammation, immune and inflammatory response, cell growth and differentiation and apoptosis. In conclusion, RAM regulates a variety of physiological processes such as cell growth, differentiation, apoptosis and death by activating the Toll-like receptor signaling pathway, TNF signaling pathway and etc., as well as regulating the inflammatory response of cells, the immune response of the body and promoting the inflammatory cytokines NF‐κB dependent expression and other processes to treat ALI/ARDS. This study revealed the mechanism of RAM multi-component, multi-target and multi-pathway, and provided scientific basis and research ideas for its clinical application.\u003c/p\u003e","manuscriptTitle":"Potential Mechanism of Tibetan Medicine Dali in the Treatment of Respiratory Diseases via Network Pharmacology","msid":"","msnumber":"","nonDraftVersions":[{"code":2,"date":"2024-12-27 00:25:28","doi":"10.21203/rs.3.rs-903361/v2","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}},{"code":1,"date":"2021-09-22 19:28:36","doi":"10.21203/rs.3.rs-903361/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":"84e74edc-0832-47c5-b10a-7fa63677efa0","owner":[],"postedDate":"December 27th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":42068786,"name":"Clinical Pharmacology"}],"tags":[],"updatedAt":"2021-10-10T21:19:43+00:00","versionOfRecord":[],"versionCreatedAt":"2024-12-27 00:25:28","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v2","identity":"rs-903361","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-903361","identity":"rs-903361","version":["v2"]},"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.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-22T02:00:06.705733+00:00
License: CC-BY-4.0