Cargando…

Evaluating the Effects of Diet-Gut Microbiota Interactions on Sleep Traits Using the UK Biobank Cohort

Previous studies showed that diet and gut microbiota had a correlation with sleep. However, the potential interaction effects of diet and gut microbiota on sleep are still unclear. The phenotypic data of insomnia (including 374,505 subjects) and sleep duration (including 372,805 subjects) were obtai...

Descripción completa

Detalles Bibliográficos
Autores principales: Qi, Xin, Ye, Jing, Wen, Yan, Liu, Li, Cheng, Bolun, Cheng, Shiqiang, Yao, Yao, Zhang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951611/
https://www.ncbi.nlm.nih.gov/pubmed/35334789
http://dx.doi.org/10.3390/nu14061134
_version_ 1784675430348881920
author Qi, Xin
Ye, Jing
Wen, Yan
Liu, Li
Cheng, Bolun
Cheng, Shiqiang
Yao, Yao
Zhang, Feng
author_facet Qi, Xin
Ye, Jing
Wen, Yan
Liu, Li
Cheng, Bolun
Cheng, Shiqiang
Yao, Yao
Zhang, Feng
author_sort Qi, Xin
collection PubMed
description Previous studies showed that diet and gut microbiota had a correlation with sleep. However, the potential interaction effects of diet and gut microbiota on sleep are still unclear. The phenotypic data of insomnia (including 374,505 subjects) and sleep duration (including 372,805 subjects) were obtained from the UK Biobank cohort. The Single Nucleotide Polymorphisms (SNPs) associated with 114 gut microbiota, 84 dietary habits, and 4 dietary compositions were derived from the published Genome-wide Association Study (GWAS). We used Linkage Disequilibrium Score Regression (LDSC) to estimate the genetic correlation and colocalization analysis to assess whether dietary habits and insomnia/sleep duration shared a causal variant in a region of the genome. Using UK Biobank genotype data, the polygenetic risk score of gut microbiota, dietary habits, and dietary compositions were calculated for each subject. Logistic regression and linear regression models were used to assess the potential effects of diet-gut microbiota interactions on sleep phenotypes, including insomnia and sleep duration. Insomnia and sleep duration were used as dependent variables, and sex, age, the Townsend Deprivation Index scores, and smoking and drinking habits were selected as covariates in the regression analysis. All statistical analyses were conducted using R-3.5.1 software. Significant genetic correlations were discovered between insomnia/sleep duration and dietary habits. Further, we found several significant dietary compositions-gut microbiota interactions associated with sleep, such as fat × G_Collinsella_RNT (p = 1.843 × 10(−)(2)) and protein × G_Collinsella_HB (p = 7.11 × 10(−)(3)). Besides, multiple dietary habits-gut microbiota interactions were identified for sleep, such as overall beef intake × G_Desulfovibrio_RNT (p = 3.26 × 10(−4)), cups of coffee per day × G_Escherichia_Shigella_RNT (p = 1.14 × 10(−3)), and pieces of dried fruit per day × G_Bifidobacterium_RNT (p = 5.80 × 10(−3)). This study reported multiple diet-gut microbiota interactions associated with sleep, which may provide insights into the biological mechanisms of diet and gut microbiota affecting sleep.
format Online
Article
Text
id pubmed-8951611
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-89516112022-03-26 Evaluating the Effects of Diet-Gut Microbiota Interactions on Sleep Traits Using the UK Biobank Cohort Qi, Xin Ye, Jing Wen, Yan Liu, Li Cheng, Bolun Cheng, Shiqiang Yao, Yao Zhang, Feng Nutrients Article Previous studies showed that diet and gut microbiota had a correlation with sleep. However, the potential interaction effects of diet and gut microbiota on sleep are still unclear. The phenotypic data of insomnia (including 374,505 subjects) and sleep duration (including 372,805 subjects) were obtained from the UK Biobank cohort. The Single Nucleotide Polymorphisms (SNPs) associated with 114 gut microbiota, 84 dietary habits, and 4 dietary compositions were derived from the published Genome-wide Association Study (GWAS). We used Linkage Disequilibrium Score Regression (LDSC) to estimate the genetic correlation and colocalization analysis to assess whether dietary habits and insomnia/sleep duration shared a causal variant in a region of the genome. Using UK Biobank genotype data, the polygenetic risk score of gut microbiota, dietary habits, and dietary compositions were calculated for each subject. Logistic regression and linear regression models were used to assess the potential effects of diet-gut microbiota interactions on sleep phenotypes, including insomnia and sleep duration. Insomnia and sleep duration were used as dependent variables, and sex, age, the Townsend Deprivation Index scores, and smoking and drinking habits were selected as covariates in the regression analysis. All statistical analyses were conducted using R-3.5.1 software. Significant genetic correlations were discovered between insomnia/sleep duration and dietary habits. Further, we found several significant dietary compositions-gut microbiota interactions associated with sleep, such as fat × G_Collinsella_RNT (p = 1.843 × 10(−)(2)) and protein × G_Collinsella_HB (p = 7.11 × 10(−)(3)). Besides, multiple dietary habits-gut microbiota interactions were identified for sleep, such as overall beef intake × G_Desulfovibrio_RNT (p = 3.26 × 10(−4)), cups of coffee per day × G_Escherichia_Shigella_RNT (p = 1.14 × 10(−3)), and pieces of dried fruit per day × G_Bifidobacterium_RNT (p = 5.80 × 10(−3)). This study reported multiple diet-gut microbiota interactions associated with sleep, which may provide insights into the biological mechanisms of diet and gut microbiota affecting sleep. MDPI 2022-03-08 /pmc/articles/PMC8951611/ /pubmed/35334789 http://dx.doi.org/10.3390/nu14061134 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Qi, Xin
Ye, Jing
Wen, Yan
Liu, Li
Cheng, Bolun
Cheng, Shiqiang
Yao, Yao
Zhang, Feng
Evaluating the Effects of Diet-Gut Microbiota Interactions on Sleep Traits Using the UK Biobank Cohort
title Evaluating the Effects of Diet-Gut Microbiota Interactions on Sleep Traits Using the UK Biobank Cohort
title_full Evaluating the Effects of Diet-Gut Microbiota Interactions on Sleep Traits Using the UK Biobank Cohort
title_fullStr Evaluating the Effects of Diet-Gut Microbiota Interactions on Sleep Traits Using the UK Biobank Cohort
title_full_unstemmed Evaluating the Effects of Diet-Gut Microbiota Interactions on Sleep Traits Using the UK Biobank Cohort
title_short Evaluating the Effects of Diet-Gut Microbiota Interactions on Sleep Traits Using the UK Biobank Cohort
title_sort evaluating the effects of diet-gut microbiota interactions on sleep traits using the uk biobank cohort
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951611/
https://www.ncbi.nlm.nih.gov/pubmed/35334789
http://dx.doi.org/10.3390/nu14061134
work_keys_str_mv AT qixin evaluatingtheeffectsofdietgutmicrobiotainteractionsonsleeptraitsusingtheukbiobankcohort
AT yejing evaluatingtheeffectsofdietgutmicrobiotainteractionsonsleeptraitsusingtheukbiobankcohort
AT wenyan evaluatingtheeffectsofdietgutmicrobiotainteractionsonsleeptraitsusingtheukbiobankcohort
AT liuli evaluatingtheeffectsofdietgutmicrobiotainteractionsonsleeptraitsusingtheukbiobankcohort
AT chengbolun evaluatingtheeffectsofdietgutmicrobiotainteractionsonsleeptraitsusingtheukbiobankcohort
AT chengshiqiang evaluatingtheeffectsofdietgutmicrobiotainteractionsonsleeptraitsusingtheukbiobankcohort
AT yaoyao evaluatingtheeffectsofdietgutmicrobiotainteractionsonsleeptraitsusingtheukbiobankcohort
AT zhangfeng evaluatingtheeffectsofdietgutmicrobiotainteractionsonsleeptraitsusingtheukbiobankcohort