biostudies-literatureWen XNational Institute of Diabetes and Digestive and Kidney DiseasesNIDDK NIH HHSNHLBI NIH HHS2021-2030https://www.ebi.ac.uk/biostudies/studies/S-EPMC12635898biostudies-literatureUnknown48(12)<h4>Objective</h4>To identify lipidomic markers of habitual unprocessed red meat and processed meat intake and evaluate their associations with diabetes risk in American Indians.<h4>Research design and methods</h4>We studied 1,816 participants from the Strong Heart Family Study. Using untargeted liquid chromatography-mass spectrometry, we quantified 1,542 lipids (518 known) in fasting plasma at baseline and follow-up (∼5 years apart). Meat intake was assessed via Food Frequency Questionnaires. Mixed-effects linear regression was used to identify lipids associated with meat consumption. Mixed-effects logistic regression was used to examine whether these lipids were associated with incident diabetes, independent of conventional risk factors, or with longitudinal glucose/insulin metrics.<h4>RDiabetes careLipidomic Markers of Processed Meat and Unprocessed Red Meat Intake and Risk of Diabetes in American Indians.PMC1263589875N92019D00028R01 HL10931575N92019D0002775N92019D00029R01 HL109301R01DK107532R01 HL109284R01 HL109282U01 HL041652U01 HL065520U01 HL041642U01 HL065521U01 HL041654R01 DK10753275N92019D00030R01 HL109319Wen XCole SAChen MZhang YFiehn OFretts AMBest LGMiao GUmans JGZhao JfalseLipidomic Markers of Processed Meat and Unprocessed Red Meat Intake and Risk of Diabetes in American Indians.<h4>Objective</h4>To identify lipidomic markers of habitual unprocessed red meat and processed meat intake and evaluate their associations with diabetes risk in American Indians.<h4>Research design and methods</h4>We studied 1,816 participants from the Strong Heart Family Study. Using untargeted liquid chromatography-mass spectrometry, we quantified 1,542 lipids (518 known) in fasting plasma at baseline and follow-up (∼5 years apart). Meat intake was assessed via Food Frequency Questionnaires. Mixed-effects linear regression was used to identify lipids associated with meat consumption. Mixed-effects logistic regression was used to examine whether these lipids were associated with incident diabetes, independent of conventional risk factors, or with longitudinal glucose/insulin metrics.<h4>R2025-01-01T00:00:00Z2025 Dec2026-05-19T03:22:26.011Z2026-05-19T03:11:58.188ZS-EPMC126358984026734810.2337/dc24-2828