Department of Respiratory and Critical Care Medicine, Haining People's Hospital, Haining, 314400, China.
Department of Respiratory, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China.
Int Urol Nephrol. 2024 Aug;56(8):2743-2753. doi: 10.1007/s11255-024-04024-6. Epub 2024 Mar 21.
This study aimed to integrate bioinformatics technology to explore shared hub genes and related mechanisms between diabetes and tuberculosis and to provide a theoretical basis for revealing the disease mechanisms in patients with both diabetes and tuberculosis.
Differentially expressed genes and Venn analysis were used to identify shared genes between diabetes and tuberculosis. PPI network analysis was used to screen key hub genes. GO and KEGG analyses were used to analyze the potential biological functions of these key hub genes. Immune infiltration analysis was performed using the ssGSEA algorithm. EnrichR online analysis website was used to explore potential therapeutic drugs.
The dataset analysis showed that PSMB9, ISG15, RTP4, CXCL10, GBP2, and GBP3 were six hub genes shared by diabetes and tuberculosis, which not only could distinguish between the two disease samples but also had a high diagnostic rate. GO and KEGG analyses showed that these six genes mainly mediate immune-related biological processes such as interferon, interleukin, and chemokine receptor binding, as well as signaling pathways such as RIG-I-like receptor, NOD-like receptor, and proteasome. Immune infiltration analysis showed that high expression of TIL may mediate the development of both diabetes and tuberculosis. In addition, suloctidil HL60 UP, thioridazine HL60 UP, mefloquine HL60 UP, 1-NITROPYRENE CTD 00001569, and chlorophyllin CTD 00000324 were the candidate drugs predicted by this study that were most likely to target hub genes.
Six differentially expressed genes shared by both diseases (PSMB9, ISG15, RTP4, CXCL10, GBP2, and GBP3) may play a key role in the disease progression of patients with both diabetes and tuberculosis. Candidate drugs targeting these hub genes have therapeutic potential and are worthy of further research. In summary, this study reveals potential shared pathogenic mechanisms between tuberculosis and diabetes.
本研究旨在整合生物信息学技术，探讨糖尿病和结核病之间的共享枢纽基因和相关机制，为揭示糖尿病合并结核病患者的疾病机制提供理论依据。
采用差异表达基因和 Venn 分析筛选糖尿病和结核病之间的共享基因。通过 PPI 网络分析筛选关键枢纽基因。GO 和 KEGG 分析用于分析这些关键枢纽基因的潜在生物学功能。使用 ssGSEA 算法进行免疫浸润分析。使用 EnrichR 在线分析网站探索潜在的治疗药物。
数据集分析表明，PSMB9、ISG15、RTP4、CXCL10、GBP2 和 GBP3 是糖尿病和结核病共享的六个枢纽基因，不仅可以区分两种疾病样本，而且具有较高的诊断率。GO 和 KEGG 分析表明，这六个基因主要介导干扰素、白细胞介素和趋化因子受体结合等免疫相关的生物过程，以及 RIG-I 样受体、NOD 样受体和蛋白酶体等信号通路。免疫浸润分析表明，高表达的 TIL 可能介导糖尿病和结核病的发生发展。此外，本研究预测的候选药物包括 suloctidil HL60 UP、thioridazine HL60 UP、mefloquine HL60 UP、1-NITROPYRENE CTD 00001569 和 chlorophyllin CTD 00000324，这些药物最有可能靶向枢纽基因。
六种疾病共有的差异表达基因（PSMB9、ISG15、RTP4、CXCL10、GBP2 和 GBP3）可能在糖尿病合并结核病患者的疾病进展中发挥关键作用。针对这些枢纽基因的候选药物具有治疗潜力，值得进一步研究。综上所述，本研究揭示了结核病和糖尿病之间潜在的共同发病机制。
