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 citas
Cómo se estudió
- Diseño
- Ensayo controlado aleatorizado (indexado por PubMed)
- Estudiado en
- Personas
- Resultado principal
- Eventos clínicos como enfermedad o muerte
- Consumo medido con
- Diarios o recordatorios de alimentación
Quién lo pagó
- Financiación
- Financiación independiente
- Gobierno
- World Health Organization
- Universidad u hospital
- Centre International de Recherche sur le Cancer
- Organización sin fines de lucro
- Cancer Research UK
- Gobierno
- National Institute for Health and Care Research
- Universidad u hospital
- Cambridge University Hospitals
- Gobierno
- Medical Research Council
- Gobierno
- International Agency for Research on Cancer
- Gobierno
- WHO
- Gobierno
- National Institute for Health Research (NIHR)
- Gobierno
- National Institute for Health and Care Research Cambridge Biomedical Research Centre
- Subvenciones
- 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)
Según 10 financiadores declarados.
Publicación
- Publicado
- 2022-04-14 · Am J Clin Nutr · vol. 116 · número 2 · págs. 511–522
- Editorial
- Elsevier BV
- Citado
- 33 citas · más que el 89% de estudios similares · 2.2× el promedio de su campo
- Referencias
- 42 trabajos
- Acceso
- Acceso abierto (revista híbrida) · CC-BY
- Áreas de investigación
- Metabolomics and Mass Spectrometry Studies · Nutritional Studies and Diet · Advanced Chemical Sensor Technologies
- Palabras clave
- 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 autores
- Chunxiao Li🇬🇧University of Cambridge; MRC Epidemiology Unit; Medical Research Council
- Fumiaki Imamura🇬🇧University of Cambridge; MRC Epidemiology Unit; Medical Research Council
- Roland Wedekind🇫🇷Centre international de recherche sur le cancer
- Isobel D. Stewart🇬🇧University of Cambridge; MRC Epidemiology Unit; Medical Research Council
- Maik Pietzner🇬🇧🇩🇪University of Cambridge; Berlin Institute of Health at Charité - Universitätsmedizin Berlin; MRC Epidemiology Unit; Medical Research Council
- Eleanor Wheeler🇬🇧University of Cambridge; MRC Epidemiology Unit; Medical Research Council
- Nita G. Forouhi🇬🇧University of Cambridge; MRC Epidemiology Unit; Medical Research Council
- Claudia Langenberg🇬🇧🇩🇪University of Cambridge; Berlin Institute of Health at Charité - Universitätsmedizin Berlin; MRC Epidemiology Unit; Medical Research Council
- Augustin Scalbert🇫🇷Centre international de recherche sur le cancer
- Nicholas J. Wareham🇬🇧 · autor de correspondenciaUniversity of Cambridge; MRC Epidemiology Unit; Medical Research Council
Resumen
El texto original del estudio, en el idioma en que se publicó.
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.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).
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