Evaluating the genetic interaction effects of gut microbiome and diet on the risk of neuroticism in the UK Biobank cohort.

IF 1.5 4区医学 Q4 GENETICS & HEREDITY

Psychiatric Genetics Pub Date : 2023-04-01 Epub Date: 2022-12-27 DOI:10.1097/YPG.0000000000000334

Dan He, Xi Wang, Jing Ye, Yao Yao, Yan Wen, Yumeng Jia, Peilin Meng, Xuena Yang, Cuiyan Wu, Yujie Ning, Sen Wang, Feng Zhang

{"title":"Evaluating the genetic interaction effects of gut microbiome and diet on the risk of neuroticism in the UK Biobank cohort.","authors":"Dan He, Xi Wang, Jing Ye, Yao Yao, Yan Wen, Yumeng Jia, Peilin Meng, Xuena Yang, Cuiyan Wu, Yujie Ning, Sen Wang, Feng Zhang","doi":"10.1097/YPG.0000000000000334","DOIUrl":null,"url":null,"abstract":"Objectives: In this study designed to investigate the effect of diet and gut microbiome on neuropsychiatric disorders, we explored the mechanisms of the interaction between diet and gut microbiome on the risk of neuroticism.Methods: First, using the individual genotype data from the UK Biobank cohort (N = 306 165), we calculated the polygenic risk score (PRS) based on 814 dietary habits single nucleotide polymorphisms (SNPs), 21 diet compositions SNPs and 1001 gut microbiome SNPs, respectively. Gut microbiome and diet-associated SNPs were collected from three genome-wide association studies (GWAS), including the gut microbiome (N = 3890), diet compositions (over 235 000 subjects) and dietary habits (N = 449 210). The neuroticism score was calculated by 12 questions from the Eysenck Personality Inventory Neuroticism scale. Then, regression analysis was performed to evaluate the interaction effects between diet and the gut microbiome on the risk of neuroticism.Results: Our studies demonstrated multiple candidate interactions between diet and gut microbiome, such as protein vs. Bifidobacterium (β = 4.59 × 10-3; P = 9.45 × 10-3) and fat vs. Clostridia (β = 3.67 × 10-3; P = 3.90 × 10-2). In addition, pieces of fresh fruit per day vs. Ruminococcus (β = -5.79 × 10-3, P = 1.10 × 10-3) and pieces of dried fruit per day vs. Clostridiales (β = -5.63 × 10-3, P = 1.49 × 10-3) were found to be negatively associated with neuroticism in fruit types. We also identified several positive interactions, such as tablespoons of raw vegetables per day vs. Veillonella (β = 5.92 × 10-3, P = 9.21 × 10-4) and cooked vegetables per day vs. Acidaminococcaceae (β = 5.69 × 10-3, P = 1.24 × 10-3).Conclusions: Our results provide novel clues for understanding the roles of diet and gut microbiome in the development of neuroticism.","PeriodicalId":20734,"journal":{"name":"Psychiatric Genetics","volume":"33 2","pages":"59-68"},"PeriodicalIF":1.5000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychiatric Genetics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/YPG.0000000000000334","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/12/27 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}

引用次数: 0

Abstract

Objectives: In this study designed to investigate the effect of diet and gut microbiome on neuropsychiatric disorders, we explored the mechanisms of the interaction between diet and gut microbiome on the risk of neuroticism.

Methods: First, using the individual genotype data from the UK Biobank cohort (N = 306 165), we calculated the polygenic risk score (PRS) based on 814 dietary habits single nucleotide polymorphisms (SNPs), 21 diet compositions SNPs and 1001 gut microbiome SNPs, respectively. Gut microbiome and diet-associated SNPs were collected from three genome-wide association studies (GWAS), including the gut microbiome (N = 3890), diet compositions (over 235 000 subjects) and dietary habits (N = 449 210). The neuroticism score was calculated by 12 questions from the Eysenck Personality Inventory Neuroticism scale. Then, regression analysis was performed to evaluate the interaction effects between diet and the gut microbiome on the risk of neuroticism.

Results: Our studies demonstrated multiple candidate interactions between diet and gut microbiome, such as protein vs. Bifidobacterium (β = 4.59 × 10-3; P = 9.45 × 10-3) and fat vs. Clostridia (β = 3.67 × 10-3; P = 3.90 × 10-2). In addition, pieces of fresh fruit per day vs. Ruminococcus (β = -5.79 × 10-3, P = 1.10 × 10-3) and pieces of dried fruit per day vs. Clostridiales (β = -5.63 × 10-3, P = 1.49 × 10-3) were found to be negatively associated with neuroticism in fruit types. We also identified several positive interactions, such as tablespoons of raw vegetables per day vs. Veillonella (β = 5.92 × 10-3, P = 9.21 × 10-4) and cooked vegetables per day vs. Acidaminococcaceae (β = 5.69 × 10-3, P = 1.24 × 10-3).

Conclusions: Our results provide novel clues for understanding the roles of diet and gut microbiome in the development of neuroticism.

查看原文本刊更多论文

在英国生物银行队列中评估肠道微生物组和饮食对神经质风险的遗传相互作用影响。

目的：在这项旨在研究饮食和肠道微生物组对神经精神障碍的影响的研究中，我们探讨了饮食和肠道菌组之间的相互作用对神经质风险的机制。方法：首先，使用来自英国生物库队列的个体基因型数据（N = 306 165），我们分别基于814个饮食习惯单核苷酸多态性（SNPs）、21个饮食成分SNPs和1001个肠道微生物组SNPs计算了多基因风险评分（PRS）。肠道微生物组和饮食相关SNPs是从三项全基因组关联研究（GWAS）中收集的，包括肠道微生物组（N = 3890），饮食组合物（超过235 000名受试者）和饮食习惯（N = 449 210）。神经质得分是通过艾森克人格量表中的12个问题计算得出的。然后，进行回归分析，以评估饮食和肠道微生物组之间的相互作用对神经质风险的影响。结果：我们的研究证明了饮食和肠道微生物组之间的多种候选相互作用，如蛋白质与双歧杆菌（β = 4.59 × 10-3；P = 9.45 × 10-3）和脂肪与梭菌（β = 3.67 × 10-3；P = 3.90 × 10-2）。此外，与瘤胃球菌（β = -5.79 × 10-3，P = 1.10 × 10-3）和每天的干果片与梭菌（β = -5.63 × 10-3，P = 1.49 × 10-3）与果实类型中的神经质呈负相关。我们还发现了一些积极的相互作用，例如每天吃几汤匙生蔬菜与韦氏菌（β = 5.92 × 10-3，P = 9.21 × 10-4）和每天煮熟的蔬菜与酸山霉科（β = 5.69 × 10-3，P = 1.24 × 10-3）。结论：我们的研究结果为理解饮食和肠道微生物组在神经质发展中的作用提供了新的线索。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Psychiatric Genetics 医学-神经科学

CiteScore

2.30

自引率

0.00%

发文量

审稿时长

3 months

期刊介绍： The journal aims to publish papers which bring together clinical observations, psychological and behavioural abnormalities and genetic data. All papers are fully refereed. Psychiatric Genetics is also a forum for reporting new approaches to genetic research in psychiatry and neurology utilizing novel techniques or methodologies. Psychiatric Genetics publishes original Research Reports dealing with inherited factors involved in psychiatric and neurological disorders. This encompasses gene localization and chromosome markers, changes in neuronal gene expression related to psychiatric disease, linkage genetics analyses, family, twin and adoption studies, and genetically based animal models of neuropsychiatric disease. The journal covers areas such as molecular neurobiology and molecular genetics relevant to mental illness. Reviews of the literature and Commentaries in areas of current interest will be considered for publication. Reviews and Commentaries in areas outside psychiatric genetics, but of interest and importance to Psychiatric Genetics, will also be considered. Psychiatric Genetics also publishes Book Reviews, Brief Reports and Conference Reports.