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":"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。","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":"<p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>Our results provide novel clues for understanding the roles of diet and gut microbiome in the development of neuroticism.</p>","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":"{\"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\":\"<p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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. 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Evaluating the genetic interaction effects of gut microbiome and diet on the risk of neuroticism in the UK Biobank cohort.
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.
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.