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Prioritization and comprehensive analysis of genes related to major depressive disorder

机译:与重大抑郁症相关的基因的优先级和综合分析

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Background Major depressive disorder (MDD) is a serious mental health problem in modern society, which is difficult to identify and diagnose in the early stages. Despite strong evidence supporting the heritability of MDD, progresses in large‐scale and individual genetic studies remain preliminary. Methods In this study, a multi‐data source‐based prioritization (MDSP) method was proposed, and an appropriate threshold was determined for the optimization of depression‐related genes (DEPgenes). Analyses on Gene Ontology biological processes, KEGG pathway and the specific pathway crosstalk network were further proposed. Results A total of 143 DEPgenes were identified and the MDD‐specific network was constructed for the pathogenesis investigation and therapeutic methods development of MDD. Comparing with existing research strategies, the genetic optimization and analysis results were confirmed to be reliable. Finally, the pathway enrichment and crosstalk analyses revealed two unique pathway interaction modules that were significantly enriched with MDD genes. The related core pathways of neuroactive ligand‐receptor interaction and dopaminergic synapse supported the neuropathology hypothesis of MDD. And the pathways of serotonergic synapse and morphine addiction indicated the mechanism of drug addiction caused by serotonin used in the treatment. Conclusions This work provided a reference for the study of MDD, although future validation by extensive experimentation is still required.
机译:背景技术主要抑郁症(MDD)是现代社会中严重的心理健康问题,难以在早期阶段识别和诊断。尽管有强有力的证据证据支持MDD的可遗传性,但大规模和个体遗传研究的进展仍然是初步的。方法在该研究中,提出了一种多数据源的优先级(MDSP)方法,确定了对抑郁相关基因(Depgenes)的优化的适当阈值。进一步提出了基因本体学生物过程的分析,Kegg途径和特定的途径串扰网络。结果鉴定了总共143个石榴仪,构建了MDD特异性网络,用于发病机制调查和治疗方法的发育MDD。与现有的研究策略相比,遗传优化和分析结果得到证实可靠。最后,途径富集和串扰分析揭示了两种独特的途径相互作用模块,其显着富含MDD基因。神经活性配体 - 受体相互作用和多巴胺能突触的相关核心途径支持MDD的神经病理学假设。和血清onerogic突触和吗啡成瘾的途径表明了治疗中使用的血清素引起的药物成瘾机制。结论这项工作为MDD的研究提供了参考,尽管仍然需要通过广泛的实验进行了未来的验证。

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