Akram Shama, Ali Moazzam, Mutahir Zeeshan, Ibad Nabeel, Sarmad Sana, Mehboob Sumaira, Saleem Mahjabeen
Ms. Akram and Drs. Ali, Mutahir, and Saleem are with School of Biochemistry and Biotechnology, University of the Punjab in Lahore, Pakistan.
Dr. Ibad is with Shaikh Zayed Hospital in Lahore, Pakistan.
Innov Clin Neurosci. 2023 Jan-Mar;20(1-3):60-71.
Gene-environment interactions might play a significant role in the development of bipolar disorder (BD). The objective of the current study was to investigate the association between tumor necrosis factor (TNF)-α -308 G/A polymorphism and BD and conduct a bioinformatics analysis of the protein-protein network of TNF-α. Gene-environment interactions and the relationship between stressful life events (SLEs) and substance abuse with TNF genotypes and other characteristics were analyzed.
The genomic deoxyribonucleic acid (DNA) of 400 patients with BD and 200 control subjects were extracted and genotyped for TNF-α -308 G/A polymorphism. SLEs and substance abuse were evaluated using the Life Event and Difficulty Schedule (LEDS) and a self-designed substance abuse questionnaire for the events six months prior to the onset of the disease, respectively. Gene-environment interactions were assessed by multiple statistical tools. Bioinformatics analysis of the TNF-α network and its interacting proteins was carried out using STRING and Cytoscape softwares.
Genotyping analysis revealed a significant association between TNF-α -308 G/A polymorphism and BD (<0.009). Furthermore, analysis of gene-environment interaction revealed a significant association between TNF-α -308 G/A and SLEs (=0.001) and TNF-α -308 G/A and substance abuse (=0.001). Three distinct proteins, RELA, RIPK1, and BIRC3, were identified through hub analysis of the protein network.
TNF-α -308 G/A polymorphism is positively associated with BD. SLEs and substance abuse might trigger the early onset of BD. Proteins identified through bioinformatics analysis might contribute to the TNF-α mediated pathophysiology of BD and can be the potential therapeutic targets.
基因-环境相互作用可能在双相情感障碍(BD)的发病中起重要作用。本研究的目的是调查肿瘤坏死因子(TNF)-α -308 G/A多态性与BD之间的关联,并对TNF-α的蛋白质-蛋白质网络进行生物信息学分析。分析了基因-环境相互作用以及应激性生活事件(SLEs)和药物滥用与TNF基因型及其他特征之间的关系。
提取400例BD患者和200例对照者的基因组脱氧核糖核酸(DNA),对TNF-α -308 G/A多态性进行基因分型。分别使用生活事件与困难量表(LEDS)和自行设计的药物滥用问卷对疾病发作前6个月的SLEs和药物滥用情况进行评估。通过多种统计工具评估基因-环境相互作用。使用STRING和Cytoscape软件对TNF-α网络及其相互作用蛋白进行生物信息学分析。
基因分型分析显示TNF-α -308 G/A多态性与BD之间存在显著关联(<0.009)。此外,基因-环境相互作用分析显示TNF-α -308 G/A与SLEs(=0.001)以及TNF-α -308 G/A与药物滥用(=0.001)之间存在显著关联。通过对蛋白质网络的枢纽分析确定了三种不同的蛋白质,即RELA、RIPK1和BIRC3。
TNF-α -308 G/A多态性与BD呈正相关。SLEs和药物滥用可能触发BD的早期发作。通过生物信息学分析鉴定出的蛋白质可能有助于TNF-α介导的BD病理生理学过程,并且可能成为潜在的治疗靶点。