2023
DOI: 10.3390/clockssleep5030037
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Causal Effects of Gut Microbiota on Sleep-Related Phenotypes: A Two-Sample Mendelian Randomization Study

Min Yue,
Chuandi Jin,
Xin Jiang
et al.

Abstract: Increasing evidence suggests a correlation between changes in the composition of gut microbiota and sleep-related phenotypes. However, it remains uncertain whether these associations indicate a causal relationship. The genome-wide association study summary statistics data of gut microbiota (n = 18,340) was downloaded from the MiBioGen consortium and the data of sleep-related phenotypes were derived from the UK Biobank, the Medical Research Council-Integrative Epidemiology Unit, Jones SE, the FinnGen consortium… Show more

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Cited by 8 publications
(4 citation statements)
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“…While previous research has explored the causal relationship between the gut microbiome and sleep phenotypes [ 25 , 36 , 37 ], many studies have predominantly focused on the genus level, limiting the exploration of specific species of gut microbes and their potential influence on sleep patterns. Our study advances this exploration by utilizing summary statistics of microbial taxa and pathways from the DMP cohort, which can allow identification to the species level and identify pathways.…”
Section: Discussionmentioning
confidence: 99%
“…While previous research has explored the causal relationship between the gut microbiome and sleep phenotypes [ 25 , 36 , 37 ], many studies have predominantly focused on the genus level, limiting the exploration of specific species of gut microbes and their potential influence on sleep patterns. Our study advances this exploration by utilizing summary statistics of microbial taxa and pathways from the DMP cohort, which can allow identification to the species level and identify pathways.…”
Section: Discussionmentioning
confidence: 99%
“…We applied a series of SNP selection criteria to the acquired GWAS summary data to ensure they met the three aforementioned assumptions: Assumption 1: We selected SNPs associated with risk factors at p-value <1 × 10 −5 . Considering the limited number of SNPs, we slightly adjusted the threshold based on the genome-wide significance level (5 × 10 −8 ) to meet the requirements for further analysis (Gou et al, 2023;Yue et al, 2023). We calculated the proportion of variance in exposure explained by SNP using the formula r2 = 2 * eaf * (1 − eaf) * beta^2 (Codd et al, 2013).…”
Section: Basic Assumptions Of Mr and Instrumental Variable (Iv) Selec...mentioning
confidence: 99%
“…Disruptions to the circadian system can lead to alterations in the composition of microbiome communities, consequently impacting the host’s metabolism, energy regulation, and inflammatory pathways, and thus play a role in the development of metabolic syndrome. Previous research has shown that two SCFA-produced genera, Lachnospiraceae UCG004 and Odoribacter, promote extended sleep duration, while the order Selenomonadales and the class Negativicutes are associated with insomnia risk [ 21 ].…”
Section: Introductionmentioning
confidence: 99%
“…MR has been extensively utilized to investigate the causal links between the gut microbiota and various diseases, encompassing both metabolic and autoimmune conditions [ 23 , 24 ]. An association between the gut microbiota and the sleep phenotype was found in a recent Mendelian randomization study, but no inverse relationship was demonstrated [ 21 ]. Thus, understanding the relationship between the morning chronotype and the gut microbiota represents a burgeoning field of research that holds the significant potential to advance our knowledge of human biology and health.…”
Section: Introductionmentioning
confidence: 99%