Lipidomic Markers of Processed Meat and Unprocessed Red Meat Intake and Risk of Diabetes in American Indians
Wen X, Miao G, Fretts AM, Chen M, Zhang Y, Umans JG, Cole SA, Best LG, Fiehn O, Zhao J
Diabetes care · 2 citas
Etiquetas de revisión
Cuestionario de frecuencia de consumoSin ajuste declarado por estilo de vidaDatos neutrales que nuestra revisión registró sobre cómo se hizo este estudio. Describen el método, nunca si nos gusta el resultado.
Cómo se estudió
- Diseño
- Estudio de cohortes (clasificado por nuestro filtro de IA)
- Estudiado en
- Personas
- Resultado principal
- Eventos clínicos como enfermedad o muerte
- Consumo medido con
- Cuestionario de frecuencia de consumo
Quién lo pagó
- Financiación
- Financiación independiente
- Gobierno
- National Heart, Lung, and Blood Institute
- Gobierno
- National Institute of Diabetes and Digestive and Kidney Diseases
- Gobierno
- NIH HHS
- Gobierno
- NHLBI NIH HHS
- Gobierno
- NIDDK NIH HHS
- Subvenciones
- National Heart, Lung, and Blood Institute (U01-HL-041652); National Heart, Lung, and Blood Institute (U01 HL041642); National Heart, Lung, and Blood Institute (R01-HL109319); National Heart, Lung, and Blood Institute (U01 HL065521); National Heart, Lung, and Blood Institute (75N92019D00028); National Heart, Lung, and Blood Institute (U01 HL-041654); National Heart, Lung, and Blood Institute (U01 HL065520); National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK107532); National Heart, Lung, and Blood Institute (R01HL109282); National Heart, Lung, and Blood Institute (R01-HL109315); National Heart, Lung, and Blood Institute (75N92019D00027); National Heart, Lung, and Blood Institute (R01HL109284); National Heart, Lung, and Blood Institute (75N92019D00030.); National Heart, Lung, and Blood Institute (75N92019D00029); National Heart, Lung, and Blood Institute (R01-HL109301)
Según 5 financiadores declarados.
Publicación
- Publicado
- 2025-04-23 · Diabetes Care · vol. 48 · número 12 · págs. 2021–2030
- Editorial
- American Diabetes Association
- Citado
- 3 citas · más que el 80% de estudios similares · 1.7× el promedio de su campo
- Referencias
- 39 trabajos
- Acceso
- De pago
- Áreas de investigación
- Meat and Animal Product Quality · Nutritional Studies and Diet · Agriculture Sustainability and Environmental Impact
- Palabras clave
- Medicine, Diabetes mellitus, Red meat, Food science, Processed meat, Internal medicine, Endocrinology, Pathology, Biology
- MeSH
- humans, diabetes mellitus, diabetes mellitus, type 2, lipids, risk factors, meat products, adult, middle aged, indians, north american, female, male, biomarkers, red meat, lipidomics
10 autores
- Xiaoxiao Wen🇺🇸University of Florida Health; University of Florida; University of Florida Health Science Center; Florida College
- Guanhong Miao🇺🇸University of South Florida
- Amanda M. Fretts🇺🇸University of Washington
- Mingjing Chen🇺🇸University of Florida Health; University of Florida; University of Florida Health Science Center; Florida College
- Ying Zhang🇺🇸University of Oklahoma Health Sciences Center
- Jason G. Umans🇺🇸Georgetown-Howard Universities Center for Clinical and Translational Science; MedStar Health
- Shelley A. Cole🇺🇸Texas Biomedical Research Institute
- Lyle G. Best🇺🇸Missouri Breaks Industries Research (United States)
- Oliver Fiehn🇺🇸University of California, Davis
- Jinying Zhao🇺🇸 · autor de correspondenciaUniversity of South Florida
Resumen
El texto original del estudio, en el idioma en que se publicó.
Objective
To identify lipidomic markers of habitual unprocessed red meat and processed meat intake and evaluate their associations with diabetes risk in American Indians.
Research design and methods
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.
Results
Diabetes developed in 66 of 1,076 participants with normal baseline glucose. After multiple testing correction, 15 known lipids, primarily plasmalogens, were associated with unprocessed red meat intake. Three plasmalogens were linked to incident diabetes (odds ratio [OR] 1.32 [95% CI 1.02-1.70] to 1.39 [1.08-1.78] per SD increase in baseline levels) and higher red meat intake. Eight lipids, mainly sphingomyelins, were associated with processed meat intake. Two sphingomyelins were linked to incident diabetes (OR 1.33 [95% CI 1.02-1.75] and 1.36 [1.04-1.80]) and higher processed meat intake. Of 23 meat-related lipids, 20 were associated with altered glucose/insulin metrics, and 11 mediated positive associations between red or processed meat intake and fasting glucose.
Conclusions
We identified lipidomic markers of unprocessed red and processed meat consumption. Several lipids were independently associated with increased diabetes risk, potentially by mediating the association between meat intake and glucose metabolism.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial.
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