Zhu Qian, Liu Jiaqi, Mei Wuxuan, Zeng Changchun
Department of Gastroenterology, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China.
Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, China.
Biochem Biophys Rep. 2024 Sep 22;40:101829. doi: 10.1016/j.bbrep.2024.101829. eCollection 2024 Dec.
Metabolic dysfunction-associated fatty liver disease (MAFLD) shows accelerated development under the impact of oxidative stress (OS). There is an imperative to identify OS-related biomarkers in MAFLD and explore their potential mechanistic insights. The objective of this study was to identify OS-related biomarkers in MAFLD and explore their potential mechanisms. DEG analysis was performed using GSE17470 and GSE24807 datasets. An investigative exploration utilizing WGCNA was executed to elucidate hub OS-related genes. The intersection of OS-related hub genes identified by WGCNA and DEGs was systematically employed for thorough analyses. A mendelian randomization (MR) study examined the causal effect of C-reactive protein (CRP) on MAFLD. 59 OS-related DEGs were identified in MAFLD. WGCNA revealed 100 OS-related hub genes in MAFLD. Sixteen OS-related genes have been delineated as critical components in MAFLD. Enrichment analyses, employing GO and KEGG pathways, revealed pathways enriched with these genes. Following PPI analyses, the highest-ranking ten hub genes demonstrating abnormal expression were determined. Ultimately, a two-sample MR analysis demonstrated a causal link between the hub gene CRP and the occurrence of MAFLD. In this study, we harnessed WGCNA to formulate a co-expression network and identified hub OS-related DEGs in MAFLD. Additionally, the hub gene CRP exhibited a significant correlation with the predisposition to MAFLD. These findings offer innovative perspectives on the applications of OS-associated genes in individuals afflicted with MAFLD.
代谢功能障碍相关脂肪性肝病(MAFLD)在氧化应激(OS)的影响下呈现加速发展。识别MAFLD中与OS相关的生物标志物并探索其潜在的机制见解势在必行。本研究的目的是识别MAFLD中与OS相关的生物标志物并探索其潜在机制。使用GSE17470和GSE24807数据集进行差异表达基因(DEG)分析。利用加权基因共表达网络分析(WGCNA)进行探索性研究以阐明与OS相关的核心基因。系统地利用WGCNA识别的与OS相关的核心基因和DEG的交集进行深入分析。一项孟德尔随机化(MR)研究检验了C反应蛋白(CRP)对MAFLD的因果效应。在MAFLD中识别出59个与OS相关的DEG。WGCNA揭示了MAFLD中100个与OS相关的核心基因。已确定16个与OS相关的基因是MAFLD的关键组成部分。采用基因本体(GO)和京都基因与基因组百科全书(KEGG)通路进行的富集分析揭示了富含这些基因的通路。经过蛋白质-蛋白质相互作用(PPI)分析,确定了表达异常的排名前十的核心基因。最终,一项两样本MR分析证明了核心基因CRP与MAFLD发生之间的因果联系。在本研究中,我们利用WGCNA构建了一个共表达网络并识别出MAFLD中与OS相关的核心DEG。此外,核心基因CRP与MAFLD的易感性显著相关。这些发现为与OS相关基因在MAFLD患者中的应用提供了新的视角。