[1]丁宁,杨青山,施松波,等.骨性关节炎滑膜病变的生物信息分析[J].中国医学物理学杂志,2024,41(4):512-520.[doi:DOI:10.3969/j.issn.1005-202X.2024.04.017]
　DING Ning,YANG Qingshan,SHI Songbo,et al.Bioinformatics analysis of gene expression changes of synovial tissue in osteoarthritis[J].Chinese Journal of Medical Physics,2024,41(4):512-520.[doi:DOI:10.3969/j.issn.1005-202X.2024.04.017]
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骨性关节炎滑膜病变的生物信息分析()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
41卷
期数:
2024年第4期
页码:
512-520
栏目:
医学生物信息
出版日期:
2024-04-25

文章信息/Info

Title:
Bioinformatics analysis of gene expression changes of synovial tissue in osteoarthritis
文章编号:
1005-202X（2024）04-0512-09
作者:
丁宁; 杨青山; 施松波; 李金龙; 刘杰
甘肃省人民医院骨科一病区，甘肃 兰州 730000
Author(s):
DING Ning;  YANG Qingshan;  SHI Songbo;  LI Jinlong;  LIU Jie
The First Department of Orthopedics, Gansu Provincial Hospital, Lanzhou 730000, China
关键词:
骨性关节炎; 滑膜组织; 差异表达基因; 生物信息分析
Keywords:
Keywords: osteoarthritis synovial tissue differentially expressed gene bioinformatics analysis
分类号:
R318；R684.3
DOI:
DOI:10.3969/j.issn.1005-202X.2024.04.017
文献标志码:
A
摘要:
目的：通过生物信息分析探索骨性关节炎中滑膜组织的基因变化。方法：从GEO数据库中获取GSE55235和GSE12021数据，分析数据得到差异表达基因（DEGs）。再对DEGs进行功能富集分析、蛋白互作网路分析、hub基因分析等。最后分析预测与hub基因相关的转录因子和miRNA，构建互作网络。结果：通过分析得到249个DEGs，再对其进行功能富集分析发现炎性反应、细胞外基质和细胞外区域以及TNF信号通路有更多的基因富集。此外，从DEGs中筛选出10个hub基因，进行转录因子和miRNA分析，得到242个转录因子和212个miRNA与之相关。结论：对OA滑膜组织的差异基因分析，不难发现，在OA的发展过程中，滑膜组织的基因发生明显的变化，并主要涉及炎性调控、炎性反应等过程。同时预测了可能与一些关键基因相关的转录因子和miRNA，进一步揭示了分子调控网络。
Abstract:
Abstract: Objective To explore the gene expression changes of synovial tissue in osteoarthritis (OA) through bioinformatics analysis. Methods GSE55235 and GSE12021 were obtained from GEO database for data analysis and identification of differentially expressed genes (DEGs). The analyses of functional enrichment, protein-protein interaction network, and hub genes were performed on the identified DEGs. Subsequently, transcription factors (TFs) and miRNA related to hub genes were predicted for constructing an interaction network. Results A total of 249 DEGs were obtained through analysis, and functional enrichment analysis revealed that gene enrichment was dominant in inflammatory response, extracellular matrix, extracellular region, and TNF signaling pathway. From the DEGs, 10 hub genes were selected, and the TFs and miRNA analyses identified 242 TFs and 212 miRNAs associated with them. Conclusion The analysis of DEGs in OA synovial tissue highlights significant genetic changes during OA development, primarily involving processes related to inflammatory regulation and response. The predictions of TFs and miRNAs associated with key genes provide further insights into the molecular regulatory network.

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备注/Memo

备注/Memo:
【收稿日期】2023-12-15 【作者简介】丁宁，硕士，主治医师，E-mail: dingninghr@yeah.net 【通信作者】刘杰，硕士，主任医师，E-mail: liujiegssy@163.com
更新日期/Last Update: 2024-04-25