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Inter-Individual Variability in Insulin Response after Grape Pomace Supplementation in Subjects at High Cardiometabolic Risk: Role of Microbiota and miRNA
被引:19
|作者:
Ramos-Romero, Sara
[1
,2
]
Leniz, Asier
[3
,4
,5
]
Martinez-Maqueda, Daniel
[6
]
Amezqueta, Susana
[7
,8
]
Fernandez-Quintela, Alfredo
[4
,5
,9
]
Hereu, Merce
[1
]
Luis Torres, Josep
[1
]
Portillo, Maria P.
[4
,5
,9
]
Perez-Jimenez, Jara
[6
]
机构:
[1] Inst Adv Chem Catalonia IQAC CSIC, Barcelona 08034, Spain
[2] Univ Barcelona, Fac Biol, Dept Cell Biol Physiol & Immunol, Barcelona 08028, Spain
[3] Araba Integrated Hlth Care Org, Basque Hlth Serv Osakidetza, Vitoria 01009, Spain
[4] Univ Basque Country UPV EHU, Fac Pharm, Dept Nutr & Food Sci, Nutr & Obes Grp, Vitoria 01006, Spain
[5] Univ Basque Country UPV EHU, Lucio Lascaray Res Ctr, Vitoria 01006, Spain
[6] Inst Food Sci, Dept Metab & Nutr, Technol & Nutr ICTAN CSIC, Jose Antonio Novais 10, Madrid 28040, Spain
[7] Univ Barcelona, Dept Engn Quim & Quim Analit, Barcelona 08028, Spain
[8] Univ Barcelona, Inst Biomed IBUB, Barcelona 08028, Spain
[9] Inst Salud Carlos III ISCIII, CIBER Fisiopatol Obesidad & Nutr CIBEROBN, Madrid 28029, Spain
关键词:
grape pomace;
insulin response;
microbiota;
miRNA;
HIGH-FAT DIET;
METABOLIC SYNDROME;
GUT MICROBIOTA;
CIRCULATING MICRORNAS;
DIABETES-MELLITUS;
EXPRESSION;
RECEPTOR;
OBESITY;
TISSUE;
RATS;
D O I:
10.1002/mnfr.202000113
中图分类号:
TS2 [食品工业];
学科分类号:
0832 ;
摘要:
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.
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