{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wen X"],"funding":["National Institute of Diabetes and Digestive and Kidney Diseases","NIDDK NIH HHS","NHLBI NIH HHS"],"pagination":["2021-2030"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12635898"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["48(12)"],"pubmed_abstract":["<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>R"],"journal":["Diabetes care"],"pubmed_title":["Lipidomic Markers of Processed Meat and Unprocessed Red Meat Intake and Risk of Diabetes in American Indians."],"pmcid":["PMC12635898"],"funding_grant_id":["75N92019D00028","R01 HL109315","75N92019D00027","75N92019D00029","R01 HL109301","R01DK107532","R01 HL109284","R01 HL109282","U01 HL041652","U01 HL065520","U01 HL041642","U01 HL065521","U01 HL041654","R01 DK107532","75N92019D00030","R01 HL109319"],"pubmed_authors":["Wen X","Cole SA","Chen M","Zhang Y","Fiehn O","Fretts AM","Best LG","Miao G","Umans JG","Zhao J"],"additional_accession":[]},"is_claimable":false,"name":"Lipidomic Markers of Processed Meat and Unprocessed Red Meat Intake and Risk of Diabetes in American Indians.","description":"<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>R","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-05-19T03:22:26.011Z","creation":"2026-05-19T03:11:58.188Z"},"accession":"S-EPMC12635898","cross_references":{"pubmed":["40267348"],"doi":["10.2337/dc24-2828"]}}