Study2025

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 citations

Review labels

Food frequency questionnaireNo stated lifestyle adjustment

Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.

How it was studied

Design
Cohort study (classified by our AI screen)
Studied in
People
Main outcome
Clinical events such as disease or death
Intake measured by
Food frequency questionnaire

Who paid for it

Funding
Independent funding
Government
National Heart, Lung, and Blood Institute
Government
National Institute of Diabetes and Digestive and Kidney Diseases
Government
NIH HHS
Government
NHLBI NIH HHS
Government
NIDDK NIH HHS
Grants
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)

Based on 5 listed funder(s).

Publication

Published
2025-04-23 · Diabetes Care · vol. 48 · issue 12 · pp. 2021–2030
Publisher
American Diabetes Association
Cited
3 citations · more than 80% of similar papers · 1.7× the field average
References
39 works
Access
Paywalled
Research areas
Meat and Animal Product Quality · Nutritional Studies and Diet · Agriculture Sustainability and Environmental Impact
Keywords
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 authors

From US

  • Xiaoxiao WenUniversity of Florida Health; University of Florida; University of Florida Health Science Center; Florida College
  • Guanhong MiaoUniversity of South Florida
  • Amanda M. FrettsUniversity of Washington
  • Mingjing ChenUniversity of Florida Health; University of Florida; University of Florida Health Science Center; Florida College
  • Ying ZhangUniversity of Oklahoma Health Sciences Center
  • Jason G. UmansGeorgetown-Howard Universities Center for Clinical and Translational Science; MedStar Health

Abstract

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.

Abstract via Europe PMC. Copyright remains with the authors or publisher.

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