Mansouri Vahid, Vafaee Reza, Mohammadi Maram Mahsa, Bandarian Fatemeh, Sarabi Parisa, Razi Farideh, Razzaghi Zahra, Rezaei Tavirani Majid, Karimi Hassan, Rezaei-Tavirani Mostafa
Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Anesthesiology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
J Diabetes Metab Disord. 2024 Apr 18;23(1):1243-1250. doi: 10.1007/s40200-024-01417-3. eCollection 2024 Jun.
Type 2 diabetes (T2D) is the most common metabolic disorder that is associated with insulin resistance. The aim of the present study is to discover details of the molecular mechanism of exercise on control or progress of diabetic condition in patients via network analysis.
Gene expression profiles of patients with T2D before and after doing exercise are retrieved from Gene Expression Omnibus (GEO) and are pre-evaluated by the GEO2R program. Data are studied based on expression values, regulatory relationships between the differentially expressed genes (DEGs), gene ontology analyses, and protein-protein interaction PPI network analysis.
A number of 118 significant DEGs were identified and classified based on fold change (FC) values as most dysregulated genes and dysregulated individuals. Action map analysis revealed that 18 DEGs appeared as the critical genes. Gene ontology analysis showed that 24 DEGs are connected to at least four pathways. JUN, IL6, IL1B, PTGS2, FOS, MYC, ATF3, CXCL8, EGR1, EGR2, NR4A1, PLK3, TTN, and UCP3 were identified as central DEGs.
Finally; JUN, IL6, IL1B, PTGS2, FOS, ATF3, CXCL8, EGR1, and EGR2 were introduced as the critical targeted genes by exercise. Since the critical genes after exercise are upregulated and mostly are known as the risk factors of T2D, it can be concluded that unsuitable exercise can develop diabetic conditions in patients. Acute exercise-induced inflammation and immune disturbances seem to be associated with the development of T2D in patients.
2型糖尿病(T2D)是与胰岛素抵抗相关的最常见代谢紊乱疾病。本研究旨在通过网络分析揭示运动对糖尿病患者病情控制或进展的分子机制细节。
从基因表达综合数据库(GEO)中获取T2D患者运动前后的基因表达谱,并通过GEO2R程序进行预评估。基于表达值、差异表达基因(DEG)之间的调控关系、基因本体分析和蛋白质-蛋白质相互作用PPI网络分析来研究数据。
共鉴定出118个显著的DEG,并根据倍数变化(FC)值将其分类为失调最严重的基因和个体。作用图谱分析显示,18个DEG为关键基因。基因本体分析表明,24个DEG至少与四条通路相关。JUN、IL6、IL1B、PTGS2、FOS、MYC、ATF3、CXCL8、EGR1、EGR2、NR4A1、PLK3、TTN和UCP3被确定为核心DEG。
最后,JUN、IL6、IL1B、PTGS2、FOS、ATF3、CXCL8、EGR1和EGR2被确定为运动的关键靶向基因。由于运动后关键基因上调且大多为T2D的危险因素,因此可以得出结论,不适当的运动可能会使患者患糖尿病。急性运动诱导的炎症和免疫紊乱似乎与患者T2D的发生有关。