Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study

Abstract Background No previous studies have explored metabolites associated with both genetic predispositions to type 2 diabetes (T2DM) and T2DM onset. Therefore, we aimed to explore metabolic profiles using genetic risk to identify pathways for tailored T2DM prevention strategies. Methods This pro...

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Main Authors: Masato Takase, Naoki Nakaya, Mana Kogure, Rieko Hatanaka, Kumi Nakaya, Ippei Chiba, Sayuri Tokioka, Kotaro Nochioka, Tomohiro Nakamura, Naho Tsuchiya, Takumi Hirata, Seizo Koshiba, Kazuki Kumada, Ikuko Motoike, Eiji Hishinuma, Akira Narita, Taku Obara, Mami Ishikuro, Hisashi Ohseto, Ippei Takahashi, Tomoko Kobayashi, Eiichi N. Kodama, Yohei Hamanaka, Masatsugu Orui, Soichi Ogishima, Satoshi Nagaie, Nobuo Fuse, Junichi Sugawara, Shinichi Kuriyama, Koichi Matsuda, Yoko Izumi, Kinuko Ohneda, Kengo Kinoshita, Atsushi Hozawa, Masayuki Yamamoto, Biobank Japan Project, the ToMMo investigators
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Cardiovascular Diabetology
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Online Access:https://doi.org/10.1186/s12933-025-02849-8
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author Masato Takase
Naoki Nakaya
Mana Kogure
Rieko Hatanaka
Kumi Nakaya
Ippei Chiba
Sayuri Tokioka
Kotaro Nochioka
Tomohiro Nakamura
Naho Tsuchiya
Takumi Hirata
Seizo Koshiba
Kazuki Kumada
Ikuko Motoike
Eiji Hishinuma
Akira Narita
Taku Obara
Mami Ishikuro
Hisashi Ohseto
Ippei Takahashi
Tomoko Kobayashi
Eiichi N. Kodama
Yohei Hamanaka
Masatsugu Orui
Soichi Ogishima
Satoshi Nagaie
Nobuo Fuse
Junichi Sugawara
Shinichi Kuriyama
Koichi Matsuda
Yoko Izumi
Kinuko Ohneda
Kengo Kinoshita
Atsushi Hozawa
Masayuki Yamamoto
Biobank Japan Project
the ToMMo investigators
author_facet Masato Takase
Naoki Nakaya
Mana Kogure
Rieko Hatanaka
Kumi Nakaya
Ippei Chiba
Sayuri Tokioka
Kotaro Nochioka
Tomohiro Nakamura
Naho Tsuchiya
Takumi Hirata
Seizo Koshiba
Kazuki Kumada
Ikuko Motoike
Eiji Hishinuma
Akira Narita
Taku Obara
Mami Ishikuro
Hisashi Ohseto
Ippei Takahashi
Tomoko Kobayashi
Eiichi N. Kodama
Yohei Hamanaka
Masatsugu Orui
Soichi Ogishima
Satoshi Nagaie
Nobuo Fuse
Junichi Sugawara
Shinichi Kuriyama
Koichi Matsuda
Yoko Izumi
Kinuko Ohneda
Kengo Kinoshita
Atsushi Hozawa
Masayuki Yamamoto
Biobank Japan Project
the ToMMo investigators
author_sort Masato Takase
collection DOAJ
description Abstract Background No previous studies have explored metabolites associated with both genetic predispositions to type 2 diabetes (T2DM) and T2DM onset. Therefore, we aimed to explore metabolic profiles using genetic risk to identify pathways for tailored T2DM prevention strategies. Methods This prospective community-based cohort study in Japan included a total of 12,461 participants aged ≥ 20 years. Genetic predictors were genome-wide and pathway-based polygenic risk scores (PRSs). We quantified 43 metabolites using nuclear magnetic resonance spectroscopy. T2DM was defined as a non-fasting glucose level of ≥ 200 mg/dL, glycated hemoglobin level ≥ 6.5%, or self-reported T2DM treatment. A modified Poisson regression model was used to examine the associations of PRSs and metabolites with T2DM incidence. Linear associations were tested using the restricted cubic spline, and mediation analysis was conducted to assess the mediating effect of metabolites on the association between PRSs and T2DM incidence. Results During the 4.3-year median follow-up period, 354 T2DM cases were identified. A higher PRS was associated with incident T2DM (relative risk [RR] 2.09, 95% confidence interval [CI], 1.68–2.60, P < 0.001, 1-standard deviation [SD] increment). The nitrogen compound transport pathway PRS was associated with incident T2DM (RR 1.32, 95% CI 1.03–1.70, P < 0.001, 1-SD increment). Fourteen metabolites like glucose, 2-ketoisocaproic acid, glutamic acid, leucine, 2-aminobutyric acid, 2-hydroxybutyric acid, valine, 3-methyl-2-oxobutyric acid, alanine, 3-hydroxybutyric acid, 3-methyl-2-oxiovaleric acid, formic acid, arginine, and tyrosine were positively associated with the risk of T2DM. Only glycine was inversely associated with the risk of T2DM. Among 43 metabolites, 14 metabolites were positively associated with PRS (P for linear trend < 0.05). 3-hydroxyisobutyric-acid, 2-Aminobutyric acid, 2-ketoisocaproic acid, 2-hydroxybutyric acid, leucine, glycine, and glucose mediated the association between PRS and incident T2DM. Conclusions Several metabolites were found to mediate the association between PRS and incident T2DM. These findings may contribute to a better understanding of the metabolic pathways involved in genetic susceptibility to T2DM.
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series Cardiovascular Diabetology
spelling doaj-art-af2a49d419bf4507bf9732b2ea8185a02025-08-20T03:42:26ZengBMCCardiovascular Diabetology1475-28402025-08-0124111910.1186/s12933-025-02849-8Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort studyMasato Takase0Naoki Nakaya1Mana Kogure2Rieko Hatanaka3Kumi Nakaya4Ippei Chiba5Sayuri Tokioka6Kotaro Nochioka7Tomohiro Nakamura8Naho Tsuchiya9Takumi Hirata10Seizo Koshiba11Kazuki Kumada12Ikuko Motoike13Eiji Hishinuma14Akira Narita15Taku Obara16Mami Ishikuro17Hisashi Ohseto18Ippei Takahashi19Tomoko Kobayashi20Eiichi N. Kodama21Yohei Hamanaka22Masatsugu Orui23Soichi Ogishima24Satoshi Nagaie25Nobuo Fuse26Junichi Sugawara27Shinichi Kuriyama28Koichi Matsuda29Yoko Izumi30Kinuko Ohneda31Kengo Kinoshita32Atsushi Hozawa33Masayuki Yamamoto34Biobank Japan Projectthe ToMMo investigatorsGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityTohoku Medical Megabank Organization, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityTohoku Medical Megabank Organization, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of TokyoGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityGraduate School of Medicine, Tohoku UniversityAbstract Background No previous studies have explored metabolites associated with both genetic predispositions to type 2 diabetes (T2DM) and T2DM onset. Therefore, we aimed to explore metabolic profiles using genetic risk to identify pathways for tailored T2DM prevention strategies. Methods This prospective community-based cohort study in Japan included a total of 12,461 participants aged ≥ 20 years. Genetic predictors were genome-wide and pathway-based polygenic risk scores (PRSs). We quantified 43 metabolites using nuclear magnetic resonance spectroscopy. T2DM was defined as a non-fasting glucose level of ≥ 200 mg/dL, glycated hemoglobin level ≥ 6.5%, or self-reported T2DM treatment. A modified Poisson regression model was used to examine the associations of PRSs and metabolites with T2DM incidence. Linear associations were tested using the restricted cubic spline, and mediation analysis was conducted to assess the mediating effect of metabolites on the association between PRSs and T2DM incidence. Results During the 4.3-year median follow-up period, 354 T2DM cases were identified. A higher PRS was associated with incident T2DM (relative risk [RR] 2.09, 95% confidence interval [CI], 1.68–2.60, P < 0.001, 1-standard deviation [SD] increment). The nitrogen compound transport pathway PRS was associated with incident T2DM (RR 1.32, 95% CI 1.03–1.70, P < 0.001, 1-SD increment). Fourteen metabolites like glucose, 2-ketoisocaproic acid, glutamic acid, leucine, 2-aminobutyric acid, 2-hydroxybutyric acid, valine, 3-methyl-2-oxobutyric acid, alanine, 3-hydroxybutyric acid, 3-methyl-2-oxiovaleric acid, formic acid, arginine, and tyrosine were positively associated with the risk of T2DM. Only glycine was inversely associated with the risk of T2DM. Among 43 metabolites, 14 metabolites were positively associated with PRS (P for linear trend < 0.05). 3-hydroxyisobutyric-acid, 2-Aminobutyric acid, 2-ketoisocaproic acid, 2-hydroxybutyric acid, leucine, glycine, and glucose mediated the association between PRS and incident T2DM. Conclusions Several metabolites were found to mediate the association between PRS and incident T2DM. These findings may contribute to a better understanding of the metabolic pathways involved in genetic susceptibility to T2DM.https://doi.org/10.1186/s12933-025-02849-8Type 2 diabetesGeneticMetabolomicsPersonalized prevention
spellingShingle Masato Takase
Naoki Nakaya
Mana Kogure
Rieko Hatanaka
Kumi Nakaya
Ippei Chiba
Sayuri Tokioka
Kotaro Nochioka
Tomohiro Nakamura
Naho Tsuchiya
Takumi Hirata
Seizo Koshiba
Kazuki Kumada
Ikuko Motoike
Eiji Hishinuma
Akira Narita
Taku Obara
Mami Ishikuro
Hisashi Ohseto
Ippei Takahashi
Tomoko Kobayashi
Eiichi N. Kodama
Yohei Hamanaka
Masatsugu Orui
Soichi Ogishima
Satoshi Nagaie
Nobuo Fuse
Junichi Sugawara
Shinichi Kuriyama
Koichi Matsuda
Yoko Izumi
Kinuko Ohneda
Kengo Kinoshita
Atsushi Hozawa
Masayuki Yamamoto
Biobank Japan Project
the ToMMo investigators
Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study
Cardiovascular Diabetology
Type 2 diabetes
Genetic
Metabolomics
Personalized prevention
title Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study
title_full Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study
title_fullStr Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study
title_full_unstemmed Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study
title_short Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study
title_sort association of circulating metabolites and polygenic risk score with incident type 2 diabetes a prospective community based cohort study
topic Type 2 diabetes
Genetic
Metabolomics
Personalized prevention
url https://doi.org/10.1186/s12933-025-02849-8
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