Evidence map›Paper›PMID 40828304›Full record

ArticleAnnals of medicine2025

Multi-omics analysis and validation of autophagy-related diagnostic biomarker in osteoarthritis.

Yang Cai, Dianbo Yu, Jinzhi Meng, Yue Qiu, Jianyi Liu, Jun Yao

Abstract read
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Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yang CaiDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID 0000-0002-4973-1598
Dianbo YuKey Laboratory of Clinical Cohort Research on Bone and Joint Degenerative Diseases of Guangxi, Department of Orthopedics, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Jinzhi MengDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yue QiuDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jianyi LiuDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jun YaoDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID 0000-0003-2085-1665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutophagy plays an essential regulatory role in the development of osteoarthritis (OA), its specific regulatory mechanism remains unclear. This work aims to study the critical genes related to autophagy in OA and explore their potential value.

methodsDatasets were downloaded from the publicly available GEO database, and differentially expressed autophagy-related genes (ARGs) were obtained. LASSO regression analysis, SVM-RFE algorithm, and RF algorithm were used to screen signature genes. The diagnostic accuracy of autophagy-related signature genes (ARSGs) in OA was determined through receiver operating characteristic (ROC) univariate analysis. The accuracy of the results was validated with an external dataset. Signature genes were analyzed for immune-related functions. Single-gene cluster enrichment analysis (GSEA) and single-gene set variation analysis (GSVA) were employed to demonstrate the potential biological functions of signature genes. Competing endogenous RNA networks, including miRNAs and lncRNAs, and drug regulatory networks were constructed to search for potential therapeutic targets. The expression levels of key ARSGs were verified through qRT-PCR, Western blot, immunohistochemistry (IHC) analyses, and animal model construction.

resultsA total of 12 up-regulated genes and 37 down-regulated genes were identified and found to be associated with autophagy regulation and inflammatory pathways. Screening identified three candidate genes, namely,

conclusions

Indexed as

AutophagyOsteoarthritisAnimalsBiomarkersDisease Models, AnimalGene Expression ProfilingGene Regulatory NetworksHumansMicroRNAsMultiomicsRNA, Long NoncodingROC CurveBiomarkersMicroRNAsRNA, Long Noncodingautophagyimmune infiltrationOsteoarthritissignature genestargeted therapy

Identifiers

PMID40828304
PMCPMC12366513

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.