Nut consumption, linoleic and α-linolenic acid intakes, and genetics: how fatty acid desaturase 1 impacts plasma fatty acids and type 2 diabetes risk in EPIC-InterAct and PREDIMED studies
Jäger S, Kuxhaus O, Prada M, Huybrechts I, Tong TYN, Forouhi NG, Razquin C, Corella D, Martinez-Gonzalez MA, Dahm CC, Ibsen DB, Tjønneland A, Halkjær J, Marques C, Cadeau C, Ren X, Katzke V, Bendinelli B, Agnoli C, Catalano A, Farràs M, Sánchez MJ, López MDC, Guevara M, Aune D, Sharp SJ, Wareham NJ, Schulze MB
BMC medicine · 1 cita
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- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DIfE)
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- German Federal Ministry of Food and Agriculture
- Subvenciones
- Bundesministerium für Ernährung und Landwirtschaft (2822ERA12F); National Institute for Health and Care Research ((NIHR203312); European Commission (727565); Agence Nationale de la Recherche (ANR-10-COHO-0006)
Según 26 financiadores declarados y la declaración de financiación del texto completo.
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- 2025-06-08 · BMC Med · vol. 23 · número 1 · pág. 344
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- BioMed Central
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- 4 citas · más que el 86% de estudios similares · 2.2× el promedio de su campo
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- 42 trabajos
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- Acceso abierto (revista) · CC-BY
- Áreas de investigación
- Fatty Acid Research and Health · Nutrition, Genetics, and Disease · Nuts composition and effects
- Palabras clave
- nut consumption, linoleic acid, alpha-linolenic acid, FADS1, type 2 diabetes risk, plasma phospholipid fatty acids, arachidonic acid, genetic susceptibility, dietary fatty acids, Mediterranean diet, PREDIMED, gene-diet interaction
- MeSH
- humans, nuts, diabetes mellitus, type 2, fatty acid desaturases, alpha-linolenic acid, fatty acids, linoleic acid, risk factors, cohort studies, polymorphism, single nucleotide, aged, middle aged, female, male, delta-5 fatty acid desaturase
28 autores
- Susanne Jäger🇩🇪German Center for Diabetes Research; German Institute of Human Nutrition
- Olga Kuxhaus🇩🇪German Center for Diabetes Research; German Institute of Human Nutrition
- Marcela Prada🇩🇪German Center for Diabetes Research; German Institute of Human Nutrition
- Inge Huybrechts🇫🇷Centre international de recherche sur le cancer
- Tammy Y. N. Tong🇬🇧University of Oxford
- Nita G. Forouhi🇬🇧University of Cambridge; MRC Epidemiology Unit; Medical Research Council
- Cristina Razquín🇪🇸Instituto de Salud Carlos III; Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition; Navarre Institute of Health Research; Centro de Investigación Biomédica en Red; Universidad de Navarra
- Dolores Corella🇪🇸Universitat de València
- Miguel Ángel Martínez‐González🇪🇸Instituto de Salud Carlos III; Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition; Navarre Institute of Health Research; Centro de Investigación Biomédica en Red; Universidad de Navarra
- Christina Catherine Dahm🇩🇰Aarhus University
- Daniel Borch Ibsen🇩🇰Aarhus University; Aarhus University Hospital; Steno Diabetes Center Aarhus
- Anne Marie Tjønneland🇩🇰University of Copenhagen
- Jytte Halkjær
- Chloé Marques🇫🇷Inserm; Université de Versailles Saint-Quentin-en-Yvelines; Centre de recherche en Epidémiologie et Santé des Populations
- Claire Cadeau🇫🇷Inserm; Université de Versailles Saint-Quentin-en-Yvelines; Centre de recherche en Epidémiologie et Santé des Populations
- Xuan Ren🇫🇷Inserm; Université de Versailles Saint-Quentin-en-Yvelines; Centre de recherche en Epidémiologie et Santé des Populations
- Verena Katzke🇩🇪German Cancer Research Center
- Benedetta Bendinelli
- Claudia Agnoli🇮🇹Fondazione IRCCS Istituto Nazionale dei Tumori
- Alberto Catalano🇮🇹Università degli Studi del Piemonte Orientale “Amedeo Avogadro”; University of Turin
- Marta Farràs🇪🇸Institut d'Investigació Biomédica de Bellvitge; Institut Català d'Oncologia
- María‐José Sánchez🇪🇸Instituto de Investigación Biosanitaria de Granada; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública; Andalusian School of Public Health
- María Dolores Chirlaque López🇪🇸Instituto Murciano de Investigación Biosanitaria; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública; Universidad de Murcia
- Marcela Guevara🇪🇸Instituto de Salud Pública de Navarra; Navarre Institute of Health Research; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública
- Dagfinn Aune🇳🇴🇬🇧Norwegian Institute of Public Health; Cancer Registry of Norway; Imperial College London
- Stephen J. Sharp🇬🇧University of Cambridge; MRC Epidemiology Unit; Medical Research Council
- Nicholas J. Wareham🇬🇧University of Cambridge; MRC Epidemiology Unit; Medical Research Council
- Matthias Bernd Schulze🇩🇪 · autor de correspondenciaUniversity of Potsdam; German Center for Diabetes Research; German Institute of Human Nutrition
Resumen
El texto original del estudio, en el idioma en que se publicó.
Background
Dietary guidelines recommend replacing saturated fatty acid with unsaturated fats, particularly polyunsaturated fatty acids. Cohort studies do not suggest a clear benefit of higher intake of polyunsaturated fatty acids but, in contrast, higher circulating linoleic acid (LA) levels-reflective of dietary LA intake, are associated with a reduced risk of type 2 diabetes. However, genetic variants in the fatty acid desaturase 1 gene (FADS1) may influence individual responses to plant-based fats. We explored whether FADS1 variants influence the relationships of LA and α-linolenic acid (ALA) intakes and nut consumption with plasma phospholipid fatty acid profiles and type 2 diabetes risk in a large-scale cohort study and a randomized controlled trial.
Methods
In the EPIC-InterAct case-cohort (7,498 type 2 diabetes cases, 10,087 subcohort participants), we investigated interactions of dietary and plasma phospholipid fatty acids and nut consumption with FADS1 rs174547 in relation to incident type 2 diabetes using weighted Cox regression. In PREDIMED (492 participants in the Mediterranean Diet + Nuts intervention group, 436 participants in the control group), we compared changes in plasma phospholipid FAs from baseline to year 1.
Results
In EPIC-InterAct and PREDIMED, nut consumption was positively associated with LA plasma levels and inversely with arachidonic acid, the latter becoming stronger with increasing number of the minor rs174547 C allele (p interaction EPIC-InterAct: 0.030, PREDIMED: 0.003). Although the inverse association of nut consumption with diabetes seemed stronger in participants with rs174547 CC-genotype (HR: 0.73, 95% CI: 0.54-1.00) compared with CT (0.94, 0.81-1.10) or TT (0.90, 0.78-1.05) in EPIC-InterAct, this interaction was not statistically significant.
Conclusions
FADS1 variation modified the effect of nut consumption on circulating FAs. We did not observe clear evidence that it modified the association between nut consumption and type 2 diabetes risk.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).
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