Inter-Individual Variability in Insulin Response after Grape Pomace Supplementation in Subjects at High Cardiometabolic Risk: Role of Microbiota and miRNA.

Institute of Advanced Chemistry of Catalonia (IQAC-CSIC), Barcelona, 08034, Spain. Department of Cell Biology, Physiology and Immunology, Faculty of Biology, University of Barcelona, Barcelona, 08028, Spain. Basque Health Service (Osakidetza), Araba Integrated Health Care Organization, Vitoria, 01009, Spain. Nutrition and Obesity Group, Department of Nutrition and Food Science, Faculty of Pharmacy and Lucio Lascaray Research Center, University of the Basque Country (UPV/EHU), Vitoria, 01006, Spain. Department of Metabolism and Nutrition, Technology and Nutrition (ICTAN-CSIC), Institute of Food Science, José Antonio Novais 10, Madrid, 28040, Spain. Departament d'Enginyeria Química i Química Analítica and Institut de Biomedicina (IBUB), Universitat de Barcelona, Barcelona, 08028, Spain. Instituto de Salud Carlos III (ISCIII), CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Madrid, 28029, Spain.

Molecular nutrition & food research. 2021;(2):e2000113

Abstract

SCOPE Dietary polyphenols have shown promising effects in mechanistic and preclinical studies on the regulation of cardiometabolic alterations. Nevertheless, clinical trials have provided contradictory results, with high inter-individual variability. This study explores the role of gut microbiota and microRNAs (miRNAs) as factors contributing to the inter-individual variability in polyphenol response. METHODS AND RESULTS 49 subjects with at least two factors of metabolic syndrome are divided between responders (n = 23) or non-responders (n = 26), depending on the variation rate in fasting insulin after grape pomace supplementation (6 weeks). The populations of selected fecal bacteria are estimated from fecal deoxyribonucleic acid (DNA) by quantitative real-time polymerase chain reaction (qPCR), while the microbial-derived short-chain fatty acids (SCFAs) are measured in fecal samples by gas chromatography. MicroRNAs are analyzed on a representative sample, followed by targeted miRNA analysis. Responder subjects show significantly lower (p < 0.05) Prevotella and Firmicutes levels, and increased (p < 0.05) miR-222 levels. CONCLUSION After evaluating the selected substrates for Prevotella and target genes of miR-222, these variations suggest that responders are those subjects exhibiting impaired glycaemic control. This study shows that fecal microbiota and miRNA expression may be related to inter-individual variability in clinical trials with polyphenols.

Methodological quality

Publication Type : Randomized Controlled Trial

Metadata

MeSH terms : Insulin ; MicroRNAs ; Vitis