Development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention
Li C, Imamura F, Wedekind R, Stewart ID, Pietzner M, Wheeler E, Forouhi NG, Langenberg C, Scalbert A, Wareham NJ
The American journal of clinical nutrition · 27 citations
How it was studied
- Design
- Randomized controlled trial (indexed by PubMed)
- Studied in
- People
- Main outcome
- Clinical events such as disease or death
- Intake measured by
- Food diaries or recalls
Who paid for it
- Funding
- Independent funding
- Government
- World Health Organization
- University or hospital
- Centre International de Recherche sur le Cancer
- Nonprofit
- Cancer Research UK
- Government
- National Institute for Health and Care Research
- University or hospital
- Cambridge University Hospitals
- Government
- Medical Research Council
- Government
- International Agency for Research on Cancer
- Government
- WHO
- Government
- National Institute for Health Research (NIHR)
- Government
- National Institute for Health and Care Research Cambridge Biomedical Research Centre
- Grants
- Medical Research Council (MC_UU_12015/1); National Institute for Health and Care Research ([IS-BRC-1215-20014); Medical Research Council (MR/N003284/1); Medical Research Council (MC_UU_00006/1)); Cancer Research UK (C864/A14136); Cancer Research UK (14136); National Institute for Health and Care Research (NF-SI-0512-10114); Medical Research Council (MR/N003284/1); Medical Research Council (MC_UU_00006/3); Medical Research Council (MC_UU_12015/1); Cambridge University Hospitals (146281); Medical Research Council (MR/L00002/1)
Based on 10 listed funder(s).
Publication
- Published
- 2022-04-14 · Am J Clin Nutr · vol. 116 · issue 2 · pp. 511–522
- Publisher
- Elsevier BV
- Cited
- 33 citations · more than 89% of similar papers · 2.2× the field average
- References
- 42 works
- Access
- Open access (hybrid journal) · CC-BY
- Research areas
- Metabolomics and Mass Spectrometry Studies · Nutritional Studies and Diet · Advanced Chemical Sensor Technologies
- Keywords
- Red meat, Metabolite, European Prospective Investigation into Cancer and Nutrition, Medicine, Observational study, White meat, Cohort study, Crossover study, Cohort, Type 2 diabetes, Incidence (geometry), Environmental health, Food science, Internal medicine, Diabetes mellitus, Biology, Endocrinology, Mathematics
- MeSH
- humans, diabetes mellitus, type 2, diet, risk factors, cohort studies, prospective studies, meat, red meat
10 authors
From GB, FR, DE
- Chunxiao LiUniversity of Cambridge; MRC Epidemiology Unit; Medical Research Council
- Fumiaki ImamuraUniversity of Cambridge; MRC Epidemiology Unit; Medical Research Council
- Roland WedekindCentre international de recherche sur le cancer
- Isobel D. StewartUniversity of Cambridge; MRC Epidemiology Unit; Medical Research Council
- Maik PietznerUniversity of Cambridge; Berlin Institute of Health at Charité - Universitätsmedizin Berlin; MRC Epidemiology Unit; Medical Research Council
- Eleanor WheelerUniversity of Cambridge; MRC Epidemiology Unit; Medical Research Council
Abstract
Background
Self-reported meat consumption is associated with disease risk but objective assessment of different dimensions of this heterogeneous dietary exposure in observational and interventional studies remains challenging.
Objectives
We aimed to derive and validate scores based on plasma metabolites for types of meat consumption. For the most predictive score, we aimed to test whether the included metabolites varied with change in meat consumption, and whether the score was associated with incidence of type 2 diabetes (T2D) and other noncommunicable diseases.
Methods
We derived scores based on 781 plasma metabolites for red meat, processed meat, and poultry consumption assessed with 7-d food records among 11,432 participants in the EPIC-Norfolk (European Prospective Investigation into Cancer and Nutrition-Norfolk) cohort. The scores were then tested for internal validity in an independent subset (n = 853) of the same cohort. In focused analysis on the red meat metabolite score, we examined whether the metabolites constituting the score were also associated with meat intake in a randomized crossover dietary intervention trial of meat (n = 12, Lyon, France). In the EPIC-Norfolk study, we assessed the association of the red meat metabolite score with T2D incidence (n = 1478) and other health endpoints.
Results
The best-performing score was for red meat, comprising 139 metabolites which accounted for 17% of the explained variance of red meat consumption in the validation set. In the intervention, 11 top-ranked metabolites in the red meat metabolite score increased significantly after red meat consumption. In the EPIC-Norfolk study, the red meat metabolite score was associated with T2D incidence (adjusted HR per SD: 1.17; 95% CI: 1.10, 1.24).
Conclusions
The red meat metabolite score derived and validated in this study contains metabolites directly derived from meat consumption and is associated with T2D risk. These findings suggest the potential for objective assessment of dietary components and their application for understanding diet-disease associations.The trial in Lyon, France, was registered at clinicaltrials.gov as NCT03354130.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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