Reconstruction and Analysis of Gene Networks of Human Neurotransmitter Systems Reveal Genes with Contentious Manifestation for Anxiety, Depression, and Intellectual Disabilities
Reconstruction and Analysis of Gene Networks of Human Neurotransmitter Systems Reveal Genes with Contentious Manifestation for Anxiety, Depression, and Intellectual Disabilities
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DOI：
10.3390/genes10090699
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发表时间：
2019-09-01
期刊：
影响因子：
3.5
通讯作者：
Lashin, Sergey
中科院分区：
文献类型：
--
作者：
Ivanov, Roman;Zamyatin, Vladimir;Lashin, Sergey
背景资料：对人类焦虑、抑郁和智力障碍的生物学基础的研究是现代神经生理学最实际的问题之一。特别感兴趣的是分子遗传因素，神经系统的电生理特性和人的行为特征之间的复杂相互作用的研究。对神经精神疾病的神经生物学理解不仅需要鉴定在疾病发生和病程的分子机制中发挥作用的基因，而且需要理解这些基因之间发生的复杂相互作用。对这种相互作用的系统研究显然有助于开发诊断、预防和治疗疾病的新方法，因为对单个基因座的等位基因变体的定向不够可靠，因为文献描述了许多基因，其相同的等位基因可以与不同的、有时是极其不同的表型性状变体相关，这取决于遗传背景，它们的携带者、栖息地和其他因素。结果如下：在我们的研究中，我们重建了一系列基因网络（以蛋白质-蛋白质相互作用网络以及转录调控网络的形式），以构建环境因素和遗传风险因素对智力残疾，抑郁症和其他人类行为障碍的复杂相互作用的影响模型。结论：候选基因的表达可能与环境因素有关，并有潜在的争议表现为行为和神经学特征的名单被确定为进一步的实验验证。
Background: The study of the biological basis of anxiety, depression, and intellectual disabilities in humans is one of the most actual problems of modern neurophysiology. Of particular interest is the study of complex interactions between molecular genetic factors, electrophysiological properties of the nervous system, and the behavioral characteristics of people. The neurobiological understanding of neuropsychiatric disorders requires not only the identification of genes that play a role in the molecular mechanisms of the occurrence and course of diseases, but also the understanding of complex interactions that occur between these genes. A systematic study of such interactions obviously contributes to the development of new methods of diagnosis, prevention, and treatment of disorders, as the orientation to allele variants of individual loci is not reliable enough, because the literature describes a number of genes, the same alleles of which can be associated with different, sometimes extremely different variants of phenotypic traits, depending on the genetic background, of their carriers, habitat, and other factors. Results: In our study, we have reconstructed a series of gene networks (in the form of protein-protein interactions networks, as well as networks of transcription regulation) to build a model of the influence of complex interactions of environmental factors and genetic risk factors for intellectual disability, depression, and other disorders in human behavior. Conclusion: A list of candidate genes whose expression is presumably associated with environmental factors and has potentially contentious manifestation for behavioral and neurological traits is identified for further experimental verification.