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Cell senescence-related pathogenic genes in sleep disorders: a multi-omics Mendelian randomization study

孟德尔随机化 睡眠(系统调用) 发病机制 医学 疾病 基因 生物信息学 生物 心理干预 孟德尔遗传 临床试验 细胞 遗传学 免疫学 候选基因 神经科学 心理学
作者
Jinying Li,Suchun Ding,Xingbo Zhang,Li Tang,Wanwei Jiang
出处
期刊:European Archives of Psychiatry and Clinical Neuroscience [Springer Science+Business Media]
标识
DOI:10.1007/s00406-025-02170-1
摘要

OBJECTIVES: Sleep disorders are multifactorial conditions influenced by genetic and environmental factors. However, the causal roles of specific cellular senescence-related genes in distinct sleep disorders subtypes remain unclear. This study aimed to dissect these relationships by integrating multi-omics data to identify potential causal pathways in sleep apnea and insomnia. METHODS: We conducted a multi-stage Mendelian randomization (SMR) study. We first performed an exploratory SMR analysis integrating a comprehensive list of senescence-related genes with genome-wide association study (GWAS) data for a broad sleep disorders phenotype from the FinnGen consortium. To address phenotype heterogeneity, we then performed in-depth, phenotype-specific SMR analyses for sleep apnea and insomnia, integrating data across three molecular levels: DNA methylation (mQTL), gene expression (eQTL), and protein abundance (pQTL). Significant findings were validated using colocalization, HEIDI tests, replication cohorts, and two-sample MR sensitivity analyses. RESULTS: Our discovery analysis on broad sleep disorders phenotype identified several candidate genes. Subsequent phenotype-specific analyses revealed distinct genetic architectures. Genetically predicted lower CTSB expression was associated with a reduced risk of sleep apnea (OR = 0.943, 95% CI = 0.905-0.983, P = 0.006, FDR = 0.23) a finding potentially mediated by methylation at cg19746565. Furthermore, SIRT6 emerged as a shared risk factor. Genetically predicted higher SIRT6 expression was associated with an increased risk of both sleep apnea (OR = 1.279, 95% CI = 1.124-1.456, P = 0.0002, FDR = 0.06) and insomnia (OR = 1.573, 95% CI = 1.099-2.251, P = 0.013, FDR = 0.61), with its effect on insomnia being validated in brain hypothalamus tissue. CONCLUSIONS: Our multi-omics MR analysis has identified BLK, CTSB, TP53INP1, DNMT3A, ITPR1, and SLC16A7 as pivotal factors in the pathogenesis of sleep disorders. These findings provide a foundation for innovative early interventions and therapeutic strategies for sleep disorders.
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