Wang Xiaoqiu, Wang Chi, Liu Kai, Wan Qingyun, Wu Wenzhong, Liu Chengyong
Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Front Microbiol. 2024 Feb 2;15:1341643. doi: 10.3389/fmicb.2024.1341643. eCollection 2024.
An increasing body of evidence suggests a profound interrelation between the microbiome and sleep-related concerns. Nevertheless, current observational studies can merely establish their correlation, leaving causality unexplored.
To ascertain whether specific gut microbiota are causally linked to seven sleep-related characteristics and propose potential strategies for insomnia prevention.
The study employed an extensive dataset of gut microbiota genetic variations from the MiBioGen alliance, encompassing 18,340 individuals. Taxonomic classification was conducted, identifying 131 genera and 196 bacterial taxa for analysis. Sleep-related phenotype (SRP) data were sourced from the IEU OpenGWAS project, covering traits such as insomnia, chronotype, and snoring. Instrumental variables (IVs) were selected based on specific criteria, including locus-wide significance, linkage disequilibrium calculations, and allele frequency thresholds. Statistical methods were employed to explore causal relationships, including inverse variance weighted (IVW), MR-Egger, weighted median, and weighted Mode. Sensitivity analyses, pleiotropy assessments, and Bonferroni corrections ensured result validity. Reverse causality analysis and adherence to STROBE-MR guidelines were conducted to bolster the study's rigor.
Bidirectional Mendelian randomization (MR) analysis reveals a causative interplay between selected gut microbiota and sleep-related phenotypes. Notably, outcomes from the rigorously Bonferroni-corrected examination illuminate profound correlations amid precise compositions of the intestinal microbiome and slumber-associated parameters. Elevated abundance within the taxonomic ranks of class Negativicutes and order Selenomonadales was markedly associated with heightened susceptibility to severe insomnia (OR = 1.03, 95% CI: 1.02-1.05, = 0.0001). Conversely, the augmented representation of the phylum Lentisphaerae stands in concord with protracted sleep duration (OR = 1.02, 95% CI: 1.01-1.04, = 0.0005). Furthermore, heightened exposure to the genus exhibits the potential to ameliorate the manifestation of snoring symptoms (OR = 0.98, 95% CI: 0.96-0.99, = 0.0001).
This study has unveiled the causal relationship between gut microbiota and SRPs, bestowing significant latent value upon future endeavors in both foundational research and clinical therapy.
越来越多的证据表明微生物群与睡眠相关问题之间存在着密切的相互关系。然而,目前的观察性研究只能确定它们之间的相关性,因果关系仍未得到探索。
确定特定的肠道微生物群是否与七种睡眠相关特征存在因果关系,并提出预防失眠的潜在策略。
该研究使用了来自MiBioGen联盟的大量肠道微生物群基因变异数据集,涵盖18340名个体。进行了分类学分类,确定了131个属和196个细菌分类单元进行分析。睡眠相关表型(SRP)数据来自IEU OpenGWAS项目,涵盖失眠、昼夜节律类型和打鼾等特征。根据特定标准选择工具变量(IVs),包括全基因组显著性、连锁不平衡计算和等位基因频率阈值。采用统计方法探索因果关系,包括逆方差加权(IVW)、MR-Egger、加权中位数和加权模式。敏感性分析、多效性评估和Bonferroni校正确保了结果的有效性。进行了反向因果关系分析并遵循STROBE-MR指南以加强研究的严谨性。
双向孟德尔随机化(MR)分析揭示了所选肠道微生物群与睡眠相关表型之间的因果相互作用。值得注意的是,经过严格的Bonferroni校正检验的结果表明,肠道微生物群的精确组成与睡眠相关参数之间存在着密切的相关性。Negativicutes纲和Selenomonadales目的分类等级内丰度升高与严重失眠易感性增加显著相关(OR = 1.03,95% CI:1.02 - 1.05,P = 0.0001)。相反,Lentisphaerae门的增加与较长的睡眠时间一致(OR = 1.02,95% CI:1.01 - 1.04,P = 0.0005)。此外,更高程度地接触某属有可能改善打鼾症状的表现(OR = 0.98,95% CI:0.96 - 0.99,P = 0.0001)。
本研究揭示了肠道微生物群与SRP之间的因果关系,为未来基础研究和临床治疗的努力赋予了重要的潜在价值。