Identification of LRRK2 gene related to sarcopenia and neuroticism using weighted gene co-expression network analysis

肌萎缩 神经质 基因 小桶 生物 联机孟德尔在人类中的遗传 基因共表达网络 机制(生物学) 基因表达 计算生物学 遗传学 生物信息学 心理学 人格 转录组 表型 基因本体论 内分泌学 社会心理学 哲学 认识论
作者
Ran Shu,Min-Fei Zhao,Lingli Huang,Baolin Liu
出处
期刊:Journal of Affective Disorders [Elsevier]
卷期号:325: 675-681 被引量:1
标识
DOI:10.1016/j.jad.2023.01.042
摘要

Sarcopenia is reported to be associated with neuroticism, but the mechanisms are not fully understood. Thus, it's of vital importance to elucidate the molecular mechanism of sarcopenia and neuroticism and to explore the potential molecular target of medical therapies for sarcopenia and neuroticism.The expression datasets (sarcopenia: GSE111006 and neuroticism: GSE60491) were downloaded from the Gene Expression Omnibus. Weighted gene co-expression network analysis (WGCNA) was used to build the gene co-expression network, screen important modules, and filter the hub genes. Genes with significance over 0.2 and a module membership over 0.8 were hub genes. The overlapped hub genes between sarcopenia and neuroticism were defined as key genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed for the genes in modules with clinical interest.In this study, we identified 28 gene modules for sarcopenia and 7 for neuroticism by WGCNA. The key modules of sarcopenia and neuroticism were the tan and turquoise modules, respectively. Hub genes of sarcopenia and neuroticism were 20 genes and 107 genes, respectively. The function enrichment found that apoptosis was the common pathway for sarcopenia and neuroticism. Finally, LRRK2 was identified as key genes.The sarcopenia dataset contained fewer samples.Based on WGCNA, our study identified apoptosis pathway and LRRK2 that acted as essential components in the etiology of sarcopenia and neuroticism, which may enhance our fundamental knowledge of the molecular mechanisms underlying the disease.
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