Evidence map›Paper›PMID 37869636›Full record

ArticleExperimental and therapeutic medicine2023

COL3A1, COL5A1 and COL6A2 serve as potential molecular biomarkers for osteoarthritis based on weighted gene co‑expression network analysis bioinformatics analysis.

Yufeng Zhang, Yingzhen Niu, Yonggang Peng, Xueyang Pan, Fei Wang

Abstract read
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Article in Experimental and therapeutic medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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  5. Dauricine: Review of Pharmacological Activity.Drug design, development and therapy · 2024
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yufeng ZhangDepartment of Orthopedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Yingzhen NiuDepartment of Orthopedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Yonggang PengDepartment of Orthopedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Xueyang PanDepartment of Tactical Medical Service, Special Medical Service Teaching and Research Section, Army Medical University Non-Commissioned Officer School, Shijiazhuang, Hebei 050051, P.R. China.
Fei WangDepartment of Orthopedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is a non-inflammatory degenerative joint disease, characterized by joint pain and stiffness. The prevalence of OA increases with age. However, the relationship between biomarkers [collagen type III α1 (COL3A1), COL5A1, COL6A2, COL12A1] and OA remains unclear. The OA subchondral bone dataset GSE51588 was downloaded from the GEO database, and the differentially expressed genes (DEGs) were screened. Weighted gene co-expression network analysis was performed, and a protein-protein interaction network was constructed and further analyzed using Cytoscape and STRING. Functional enrichment analysis was performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and then Gene Set Enrichment Analysis (GSEA) was used to formulate the molecular functions and pathways based on the results of GO and KEGG analyses. Comparative Toxicogenomics Database and TargetScan were used to identify the hub-gene-related diseases and the microRNAs that regulated the central hub genes. Immunohistochemical staining was performed to confirm the expression of related proteins in OA and non-OA tissue samples. A total of 1,679 DEGs were identified. GO analysis showed that the DEGs were primarily enriched in the process of 'immune system', 'extracellular region', 'secretory granule', 'collagen-containing extracellular matrix', 'ECM-receptor, glycosaminoglycan binding' and 'systemic lupus erythematosus'. The results of GSEA were similar to those of GO and KEGG enrichment terms for DEGs. A total of 25 important modules were generated, and two core gene clusters and seven core genes were obtained (COL6A2, COL5A2, COL12A1, COL5A1, COL6A1, LUM and COL3A1). Core genes were expressed differentially between OA subchondral bone and normal tissue samples. The expression levels of COL3A1, COL5A1 and COL6A2 in OA subchondral bone tissue were higher compared with those in normal tissues, but COL12A1 expression was not significantly increased; all stained markers were highly expressed in surrounding tissues of immunohistochemical staining. In conclusion, COL3A1, COL5A1 and COL6A2 may be potential molecular biomarkers for OA.

Indexed as

bioinformatics techniquesCOL3A1COL5A1COL6A2osteoarthritis

Identifiers

PMID37869636
PMCPMC10587888

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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.