In-depth investigations of the molecular basis underlying sex differences among middle-aged and elderly schizophrenia populations.

IF 1.5 4区 医学 Q4 GENETICS & HEREDITY
Yatang Chen, Lei Yu, Yilin Liu, Qing Long, Xu You, Jianping Liu, Yong Zeng
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引用次数: 0

Abstract

Sex can influence almost all aspects of schizophrenia. However, the molecular mechanisms underlying sex differences in schizophrenia remain poorly understood. In this project, the dataset GSE107638 containing neuronal RNA-seq data and age/sex information of individuals with or without schizophrenia were retrieved. Schizophrenia samples were divided into young male (M-1), young female (F-1), middle-aged and elderly male (M-2) and middle-aged and elderly female (F-2) groups. Next, green/yellow/turquoise modules related to the M-2 trait and turquoise module correlated with the F-2 trait were identified by weighted correlation network analysis (WGCNA) analysis (soft thresholding power: 13; min module size: 200). Crucial genes in the M-2 green, M-2 turquoise and F-2 turquoise modules were identified by WGCNA, gene significance/module membership, and protein-protein interaction (PPI) analysis. Moreover, 2067 and 934 differentially expressed genes (|log2 fold-change| ≥0.58 and P-value < 0.05) in M-2 and F-2 schizophrenia subgroups versus same-age and same-sex counterparts were identified, respectively. Additionally, 82 core genes in the M-2 turquoise module and 4 hub genes in the F-2 turquoise module were differentially expressed in M-2 and F-2 schizophrenia subgroups versus their counterparts, respectively. Among the 82 hub genes, 15 genes were found to be correlated with neuronal development by the Kyoto Encyclopedia of Genes and Genomes enrichment analysis. Also, 2 potential PPI networks related to neuronal development were identified. Taken together, multiple potential hub genes and 2 potential neurobiological networks related to schizophrenia sex differences and disease progression were identified among middle-aged and elderly schizophrenia populations.

深入研究中老年精神分裂症人群性别差异的分子基础。
性几乎可以影响精神分裂症的所有方面。然而,精神分裂症性别差异背后的分子机制仍然知之甚少。在本项目中,检索了包含有或没有精神分裂症个体的神经元RNA-seq数据和年龄/性别信息的数据集GSE107638。精神分裂症样本分为青年男性(M-1)、青年女性(F-1)、中老年男性(M-2)和中老年女性(F-2)组。其次,通过加权相关网络分析(WGCNA)对M-2性状相关的绿/黄/绿松石色模块和F-2性状相关的绿松石色模块进行鉴定(软阈值功率:13;最小模块尺寸:200)。通过WGCNA、基因显著性/模块隶属度和蛋白蛋白相互作用(PPI)分析,鉴定了M-2绿色、M-2绿松石和F-2绿松石模块中的关键基因。差异表达基因2067个,差异表达基因934个(log2 fold-change|≥0.58,p值≥0.58)
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来源期刊
Psychiatric Genetics
Psychiatric Genetics 医学-神经科学
CiteScore
2.30
自引率
0.00%
发文量
39
审稿时长
3 months
期刊介绍: ​​​​​​The journal aims to publish papers which bring together clinical observations, psychological and behavioural abnormalities and genetic data. All papers are fully refereed. Psychiatric Genetics is also a forum for reporting new approaches to genetic research in psychiatry and neurology utilizing novel techniques or methodologies. Psychiatric Genetics publishes original Research Reports dealing with inherited factors involved in psychiatric and neurological disorders. This encompasses gene localization and chromosome markers, changes in neuronal gene expression related to psychiatric disease, linkage genetics analyses, family, twin and adoption studies, and genetically based animal models of neuropsychiatric disease. The journal covers areas such as molecular neurobiology and molecular genetics relevant to mental illness. Reviews of the literature and Commentaries in areas of current interest will be considered for publication. Reviews and Commentaries in areas outside psychiatric genetics, but of interest and importance to Psychiatric Genetics, will also be considered. Psychiatric Genetics also publishes Book Reviews, Brief Reports and Conference Reports.
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