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

Experimental and therapeutic medicine Pub Date : 2023-10-02 eCollection Date: 2023-11-01 DOI:10.3892/etm.2023.12239
Yufeng Zhang, Yingzhen Niu, Yonggang Peng, Xueyang Pan, Fei Wang
{"title":"COL3A1, COL5A1 and COL6A2 serve as potential molecular biomarkers for osteoarthritis based on weighted gene co‑expression network analysis bioinformatics analysis.","authors":"Yufeng Zhang,&nbsp;Yingzhen Niu,&nbsp;Yonggang Peng,&nbsp;Xueyang Pan,&nbsp;Fei Wang","doi":"10.3892/etm.2023.12239","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":94002,"journal":{"name":"Experimental and therapeutic medicine","volume":"26 5","pages":"540"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/fa/30/etm-26-05-12239.PMC10587888.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Experimental and therapeutic medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3892/etm.2023.12239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/11/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.

Abstract Image

Abstract Image

Abstract Image

基于加权基因共表达网络分析生物信息学分析,COL3A1、COL5A1和COL6A2可作为骨关节炎的潜在分子生物标志物。
骨关节炎(OA)是一种非炎症性退行性关节疾病,其特征是关节疼痛和僵硬。OA的患病率随着年龄的增长而增加。然而,生物标志物[III型胶原α1(COL3A1)、COL5A1、COL6A2、COL12A1]与OA之间的关系尚不清楚。OA软骨下骨数据集GSE51588从GEO数据库下载,并筛选差异表达基因(DEGs)。进行加权基因共表达网络分析,构建蛋白质-蛋白质相互作用网络,并使用Cytoscape和STRING进行进一步分析。使用基因本体论(GO)和京都基因和基因组百科全书(KEGG)分析进行功能富集分析,然后基于GO和KEGG分析的结果使用基因集富集分析(GSEA)来制定分子功能和途径。使用比较毒理学基因组学数据库和TargetScan来鉴定中枢基因相关疾病和调节中枢基因的微小RNA。免疫组织化学染色证实相关蛋白在OA和非OA组织样本中的表达。共鉴定出1679个DEG。GO分析显示,DEG主要富集在“免疫系统”、“细胞外区域”、“分泌颗粒”、“含有胶原的细胞外基质”、“ECM受体、糖胺聚糖结合”和“系统性红斑狼疮”的过程中。GSEA的结果与GO和KEGG的DEG富集项的结果相似。共产生25个重要模块,获得两个核心基因簇和7个核心基因(COL6A2、COL5A2、COL12A1、COL5A1、COL6A1、LUM和COL3A1)。核心基因在OA软骨下骨和正常组织样本之间有差异表达。COL3A1、COL5A1和COL6A2在OA软骨下骨组织中的表达水平高于正常组织,但COL12A1的表达没有显著增加;免疫组化染色显示,所有染色标记物均在周围组织中高表达。总之,COL3A1、COL5A1和COL6A2可能是OA的潜在分子生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信