{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T16:24:00Z","timestamp":1782145440541,"version":"3.54.5"},"reference-count":46,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,1,7]],"date-time":"2024-01-07T00:00:00Z","timestamp":1704585600000},"content-version":"vor","delay-in-days":6,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01 CA176726"],"award-info":[{"award-number":["U01 CA176726"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 CA67262"],"award-info":[{"award-number":["R01 CA67262"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["K01DK103720"],"award-info":[{"award-number":["K01DK103720"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Metabolism Res"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Several metabolites are individually related to incident type 2 diabetes (T2D) risk. We prospectively evaluated a novel T2D\u2010metabolite pattern with a risk of progression to T2D among high\u2010risk women with a history of gestational diabetes mellitus (GDM).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The longitudinal Nurses' Health Study II cohort enroled 116,429 women in 1989 and collected blood samples from 1996 to 1999. We profiled plasma metabolites in 175 incident T2D cases and 175 age\u2010matched controls, all with a history of GDM before the blood draw. We derived a metabolomics score from 21 metabolites previously associated with incident T2D in the published literature by scoring according to the participants' quintile (1\u20135 points) of each metabolite. We modelled the T2D metabolomics score categorically in quartiles and continuously per 1 standard deviation (SD) with the risk of incident T2D using conditional logistic regression models adjusting for body mass index at the blood draw, and other established T2D risk factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The percentage of women progressing to T2D ranged from 10% in the bottom T2D metabolomics score quartile to 78% in the highest score quartile. Adjusting for established T2D risk factors, women in the highest quartile had more than a 20\u2010fold greater diabetes risk than women in the lowest quartile (odds ratios [OR]\u00a0=\u00a023.1 [95% CI\u00a0=\u00a08.6, 62.1];\n                      <jats:italic>p<\/jats:italic>\n                      for trend&lt;0.001). The continuous T2D metabolomics score was strongly and positively associated with incident T2D (adjusted OR\u00a0=\u00a02.7 per SD [95% CI\u00a0=\u00a01.9, 3.7],\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.0001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>A pattern of plasma metabolites among high\u2010risk women is associated with a markedly elevated risk of progression to T2D later in life.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/dmrr.3763","type":"journal-article","created":{"date-parts":[[2024,1,7]],"date-time":"2024-01-07T12:19:55Z","timestamp":1704629995000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Type 2 diabetes metabolomics score and risk of progression to type 2 diabetes among women with a history of gestational diabetes mellitus"],"prefix":"10.1002","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0020-9552","authenticated-orcid":false,"given":"Deirdre K.","family":"Tobias","sequence":"first","affiliation":[{"name":"Division of Preventive Medicine Department of Medicine Harvard Medical School Brigham and Women's Hospital  Boston Massachusetts USA"},{"name":"Nutrition Department Harvard TH Chan School of Public Health  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rikuta","family":"Hamaya","sequence":"additional","affiliation":[{"name":"Division of Preventive Medicine Department of Medicine Harvard Medical School Brigham and Women's Hospital  Boston Massachusetts USA"},{"name":"Epidemiology Department Harvard TH Chan School of Public Health  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clary B.","family":"Clish","sequence":"additional","affiliation":[{"name":"Broad Institute of MIT and Harvard  Cambridge Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liming","family":"Liang","sequence":"additional","affiliation":[{"name":"Biostatistics Department Harvard TH Chan School of Public Health  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amy","family":"Deik","sequence":"additional","affiliation":[{"name":"Broad Institute of MIT and Harvard  Cambridge Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Courtney","family":"Dennis","sequence":"additional","affiliation":[{"name":"Broad Institute of MIT and Harvard  Cambridge Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin","family":"Bullock","sequence":"additional","affiliation":[{"name":"Broad Institute of MIT and Harvard  Cambridge Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cuilin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Epidemiology Branch Division of Intramural Population Health Research <i>Eunice Kennedy Shriver<\/i> National Institute of Child Health and Human Development National Institutes of Health  Bethesda Maryland USA"},{"name":"Global Centre for Asian Women's Health Yong Loo Lin School of Medicine National University of Singapore  Singapore Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frank B.","family":"Hu","sequence":"additional","affiliation":[{"name":"Nutrition Department Harvard TH Chan School of Public Health  Boston Massachusetts USA"},{"name":"Epidemiology Department Harvard TH Chan School of Public Health  Boston Massachusetts USA"},{"name":"Channing Division of Network Medicine, Department of Medicine Brigham and Women's Hospital  Boston Massachusetts 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