2026-04-13T06:50:08Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1769432025-12-04T19:03:44Zcom_2072_1057col_2072_478777col_2072_478917

00925njm 22002777a 4500 dc Ramos Romero, Sara author Leniz, Asier author Martínez-Maqueda, Daniel author Amézqueta, Susana author Fernández-Quintela, Alfredo author Hereu, Mercè author Torres Simón, Josep Lluís author Portillo, María Puy author Pérez-Jiménez, Jara author 2021-05-03T13:35:36Z 2021-12-16T06:10:21Z 2020-12-16 2021-05-03T13:35:36Z 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. Microbiota intestinal Polifenols Gastrointestinal microbiome Polyphenols Inter-Individual variability in insulin response after grape pomace supplementation in subjects at high cardiometabolic risk: role of microbiota and miRNA