Location: Children's Nutrition Research Center
Title: Circulating metabolomics, genetics and lifestyle factors in relation to future risk of type 2 diabetesAuthor
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LI, JUN - Brigham & Women'S Hospital |
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HU, JIE - Brigham & Women'S Hospital |
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YUN, HUAN - Harvard School Of Public Health |
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MEI, ZHENDONG - Brigham & Women'S Hospital |
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WANG, XINGYAN - Harvard School Of Public Health |
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LUO, KAI - Albert Einstein College Of Medicine |
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GUASCH-FERRÉ, MARTA - Harvard School Of Public Health |
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HAN, XIKUN - Harvard School Of Public Health |
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TRUONG, BUU - Harvard School Of Public Health |
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MERINO, JORDI - University Of Copenhagen |
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JIA, CHENGYONG - Albert Einstein College Of Medicine |
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RUIZ-CANELA, MIGUEL - University Of Navarra |
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REBHOLZ, CASEY - Johns Hopkins School Of Public Health |
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MOON, EUN - University Of Texas Health Science Center |
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ALKIS, TARYN - University Of Texas Health Science Center |
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LIU, GUNING - University Of Texas Health Science Center |
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YAO, JIE - Harbor-Ucla Medical Center |
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ZHANG, XIYUAN - University Of Massachusetts, Lowell |
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PORNEALA, BIANCA - Brandeis University |
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SALAS-SALVADÓ, JORDI - Instituto De Salud Carlos Iii |
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WANG, THOMAS - University Of Michigan |
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DUPUIS, JOSÉE - Boston University School Of Public Health |
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SELVIN, ELIZABETH - Johns Hopkins School Of Public Health |
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GUO, XIUQING - Harbor-Ucla Medical Center |
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BHUPATHIRAJU, SHILPA - Brigham & Women'S Hospital |
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BRODY, JENNIFER - University Of Washington |
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LIU, YONGMEI - Duke University Medical Center |
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WOOD, ALEXIS - Children'S Nutrition Research Center (CNRC) |
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NORTH, KARI - University Of North Carolina |
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JUNG, SU - University Of California (UCLA) |
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LIU, CHING - Boston University School Of Public Health |
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SOTOODEHNIA, NONA - University Of Washington |
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LIU, SIMIN - University Of California Irvine |
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TINKER, LESLEY - Fred Hutchinson Cancer Research Center |
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ELIASSEN, A - Harvard School Of Public Health |
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MANSON, JOANN - Brigham & Women'S Hospital |
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FLOREZ, JOSE - Massachusetts General Hospital |
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GERSZTEN, ROBERT - Broad Institute Of Mit/harvard |
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CLISH, CLARY - Broad Institute Of Mit/harvard |
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LIANG, LIMING - Harvard School Of Public Health |
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LEMAITRE, ROZENN - University Of Washington |
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TUCKER, KATHERINE - University Of Massachusetts, Lowell |
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RICH, STEPHEN - University Of Virginia |
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ROTTER, JEROME - Harbor-Ucla Medical Center |
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MARTÍNEZ-GONZÁLEZ, MIGUEL - Harvard School Of Public Health |
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REXRODE, KATHRYN - Brigham & Women'S Hospital |
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MEIGS, JAMES - Broad Institute Of Mit/harvard |
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BOERWINKLE, ERIC - University Of Texas Health Science Center |
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KAPLAN, ROBERT - Albert Einstein College Of Medicine |
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HU, FRANK - Harvard School Of Public Health |
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YU, BING - University Of Texas Health Science Center |
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QI, QIBIN - Albert Einstein College Of Medicine |
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Submitted to: Nature Medicine
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 11/6/2025 Publication Date: 1/14/2026 Citation: Li, J., Hu, J., Yun, H., Mei, Z., Wang, X., Luo, K., Guasch-Ferré, M., Han, X., Truong, B., Merino, J., Jia, C., Ruiz-Canela, M., Rebholz, C.M., Moon, E.H., Alkis, T., Liu, G., Yao, J., Zhang, X., Porneala, B.C., Salas-Salvadó, J., Wang, T.J., Dupuis, J., Selvin, E., Guo, X., Bhupathiraju, S., Brody, J.A., Liu, Y., Wood, A.C., North, K.E., Jung, S.Y., Liu, C.T., Sotoodehnia, N., Liu, S., Tinker, L.F., Eliassen, A.H., Manson, J.E., Florez, J.C., Gerszten, R.E., Clish, C.B., Liang, L., Lemaitre, R.N., Tucker, K.L., Rich, S.S., Rotter, J.I., Martínez-González, M.A., Rexrode, K.M., Meigs, J.B., Boerwinkle, E., Kaplan, R.C., Hu, F.B., Yu, B., Qi, Q. 2026. Circulating metabolomics, genetics and lifestyle factors in relation to future risk of type 2 diabetes. Nature Medicine. https://doi.org/10.1038/s41591-025-04105-8. DOI: https://doi.org/10.1038/s41591-025-04105-8 Interpretive Summary: Type 2 diabetes develops through complex interactions between genes, environment, and metabolism, but the specific metabolites involved are not fully known. In this large study of over 23,000 adults followed for up to 26 years, researchers analyzed 469 circulating metabolites and found 235 that predicted future diabetes risk, including 67 not previously reported. These metabolites were linked to biological pathways involved in insulin resistance, lipid metabolism, liver function, and fat storage, and many were influenced by both genetic factors and modifiable lifestyle factors such as physical activity, diet, and obesity. Some metabolites acted as mediators, explaining how lifestyle behaviors influence diabetes risk. A combined "metabolite signature" of 44 molecules significantly improved the ability to predict who would develop diabetes, identifying individuals with up to fivefold differences in risk. These findings deepen our understanding of how metabolic changes contribute to diabetes development and could help scientists, clinicians, and public health professionals design more precise prevention strategies tailored to metabolic profiles. Technical Abstract: The human metabolome reflects complex metabolic states affected by genetic and environmental factors. However, metabolites associated with type 2 diabetes (T2D) risk and their determinants remain insufficiently characterized. Here we integrated blood metabolomic, genomic and lifestyle data from up to 23,634 initially T2D-free participants from ten cohorts. Of 469 metabolites examined, 235 were associated with incident T2D during up to 26'years of follow-up, including 67 associations not previously reported across bile acid, lipid, carnitine, urea cycle and arginine/proline, glycine and histidine pathways. Further genetic analyses linked these metabolites to signaling pathways and clinical traits central to T2D pathophysiology, including insulin resistance, glucose/insulin response, ectopic fat deposition, energy/lipid regulation and liver function. Lifestyle factors—particularly physical activity, obesity and diet—explained greater variations in T2D-associated versus non-associated metabolites, with specific metabolites revealed as potential mediators. Finally, a 44-metabolite signature improved T2D risk prediction beyond conventional factors. These findings provide a foundation for understanding T2D mechanisms and may inform precision prevention targeting specific metabolic pathways. |
