类风湿关节炎与骨质疏松症的生物信息学分析

目的 利用生物信息学分析类风湿关节炎（RA）与骨质疏松症（OP）的关系。方法 通过Genecards、OMIM、TTD等数据库查找RA和OP的疾病基因，对两组疾病的基因取交集，将共同基因导入STRING数据库构建蛋白互作（PPI）网络图，使用R软件筛选出PPI网络中的关键基因，利用DAVID数据库进行GO和KEGG富集分析。结果 通过检索数据库筛选出RA相关基因5 388个、OP相关基因4 587个，取交集后获得共同靶点基因1 899个，PPI网络图显示IL-6、INS、AKT1、TNF、TP53、VEGFA、EGFR等为RA与OP的共同关键基因，GO富集主要与受体配体活性、细胞因子受体结合、囊泡、T细胞活化、肽分泌的调节等相关，KEGG信号通路包括PI3K-Akt信号通路、JAK-STAT信号通路、破骨细胞分化、细胞凋亡、Th17细胞分化等。结论 所获得RA与OP的共同关键基因和涉及的信号通路，有助于理解两者在疾病过程中的相关性，为药物的研发提供理论参考。

Bioinformatics analysis of rheumatoid arthritis and osteoporosis

Objective To analyze the relationship between rheumatoid arthritis (RA) and osteoporosis (OP) with bioinformatics. Methods The disease genes of RA and OP were found from Genecards, OMIM, TTD, and other databases. The genes of the two groups of diseases were intersected. The common genes were introduced into STRING database to construct protein interaction (PPI) network map. The key genes in PPI network were screened with R software. The common genes were enriched and analyzed with GO and KEGG using DAVID database. Results A total of 5388 RA-related genes and 4587 OP-related genes were screened by searching the database, and 1899 common target genes were obtained after intersection. PPI network map showed that IL-6, INS, AKT1, TNF, TP53, VEGFA, and EGFR were the common key genes of RA and OP. GO enrichment was mainly related to receptor ligand activity, cytokine receptor binding, vesicle lumen, T cell activation, regulation of peptide secretion, and so on. KEGG signal pathway includes PI3K-Akt signal pathway, JAK-STAT signal pathway, osteoclast differentiation, apoptosis, Th17 cell differentiation, and so on. Conclusion The common key genes and signal pathways of RA and OP are obtained in this study, which is helpful to understand the correlation between them in the process of disease and provides theoretical reference for drug research and development.