Inter‐Individual Variability in Insulin Response after Grape Pomace Supplementation in Subjects at High Cardiometabolic Risk: Role of Microbiota and miRNA
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 an...
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| Veröffentlicht in: | Molecular nutrition & food research 2021-01, Vol.65 (2), p.e2000113-n/a |
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| creator | Ramos‐Romero, Sara Léniz, Asier Martínez‐Maqueda, Daniel Amézqueta, Susana Fernández‐Quintela, Alfredo Hereu, Mercè Torres, Josep Luís Portillo, María P. Pérez‐Jiménez, Jara |
| description | 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 |
| doi_str_mv | 10.1002/mnfr.202000113 |
| format | Article |
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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.
Subjects at high metabolic risk with
higher levels of plasma insulin concentration are sensitive to grape pomace
(Responders) while showing reduced levels of Firmicutes and Prevotella, along with increased expression of miR‐222.
The variations in miR‐222 as well as in Prevotella could be indicators of responsiveness, suggesting that responders are those subjects showing impaired glycaemic control.</description><identifier>ISSN: 1613-4125</identifier><identifier>EISSN: 1613-4133</identifier><identifier>DOI: 10.1002/mnfr.202000113</identifier><identifier>PMID: 33202108</identifier><language>eng</language><publisher>Germany: Wiley Subscription Services, Inc</publisher><subject>Clinical trials ; Deoxyribonucleic acid ; Diet ; Dietary supplements ; DNA ; Fatty acids ; Fecal microflora ; Feces ; Gas chromatography ; grape pomace ; Grapes ; Health risks ; Insulin ; insulin response ; Intestinal microflora ; Metabolic disorders ; Metabolic syndrome ; Microbiota ; Microorganisms ; MicroRNAs ; miRNA ; Polymerase chain reaction ; Polyphenols ; Prevotella ; Substrates ; Variability</subject><ispartof>Molecular nutrition & food research, 2021-01, Vol.65 (2), p.e2000113-n/a</ispartof><rights>2020 Wiley‐VCH GmbH</rights><rights>2020 Wiley-VCH GmbH.</rights><rights>2021 Wiley‐VCH GmbH</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4743-2eb333655bfb45c5ad16ff6568329634d8463581816650bb569b1b6918e7db873</citedby><cites>FETCH-LOGICAL-c4743-2eb333655bfb45c5ad16ff6568329634d8463581816650bb569b1b6918e7db873</cites><orcidid>0000-0002-2811-4558 ; 0000-0003-0784-5906</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fmnfr.202000113$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fmnfr.202000113$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33202108$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ramos‐Romero, Sara</creatorcontrib><creatorcontrib>Léniz, Asier</creatorcontrib><creatorcontrib>Martínez‐Maqueda, Daniel</creatorcontrib><creatorcontrib>Amézqueta, Susana</creatorcontrib><creatorcontrib>Fernández‐Quintela, Alfredo</creatorcontrib><creatorcontrib>Hereu, Mercè</creatorcontrib><creatorcontrib>Torres, Josep Luís</creatorcontrib><creatorcontrib>Portillo, María P.</creatorcontrib><creatorcontrib>Pérez‐Jiménez, Jara</creatorcontrib><title>Inter‐Individual Variability in Insulin Response after Grape Pomace Supplementation in Subjects at High Cardiometabolic Risk: Role of Microbiota and miRNA</title><title>Molecular nutrition & food research</title><addtitle>Mol Nutr Food Res</addtitle><description>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.
Subjects at high metabolic risk with
higher levels of plasma insulin concentration are sensitive to grape pomace
(Responders) while showing reduced levels of Firmicutes and Prevotella, along with increased expression of miR‐222.
The variations in miR‐222 as well as in Prevotella could be indicators of responsiveness, suggesting that responders are those subjects showing impaired glycaemic control.</description><subject>Clinical trials</subject><subject>Deoxyribonucleic acid</subject><subject>Diet</subject><subject>Dietary supplements</subject><subject>DNA</subject><subject>Fatty acids</subject><subject>Fecal microflora</subject><subject>Feces</subject><subject>Gas chromatography</subject><subject>grape pomace</subject><subject>Grapes</subject><subject>Health risks</subject><subject>Insulin</subject><subject>insulin response</subject><subject>Intestinal microflora</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Microbiota</subject><subject>Microorganisms</subject><subject>MicroRNAs</subject><subject>miRNA</subject><subject>Polymerase chain reaction</subject><subject>Polyphenols</subject><subject>Prevotella</subject><subject>Substrates</subject><subject>Variability</subject><issn>1613-4125</issn><issn>1613-4133</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkb9uFDEQh1cIRP5AS4ks0dDcYe_YPh9ddCLJSUlAG6Bd2buz4MNrb-xd0HV5BB6Ap-NJ8OnCFTRUM8X3_TSjX1G8YHTOKC3f9L6L85KWlFLG4FFxzCSDGWcAjw97KY6Kk5Q2lAIrOTwtjgCywqg6Ln6t_Yjx9_3PtW_td9tO2pHPOlptrLPjllhP1j5NLs8K0xB8QqK7rJCLqAckH0KvGyS30zA47NGPerTB77TbyWywGRPRI7m0X76SlY6tDT2O2gRnG1LZ9O0tqYJDEjpybZsYjA2jJtq3pLfVzdmz4kmnXcLnD_O0-HT-7uPqcnb1_mK9OruaNXzBYVaiAQAphOkMF43QLZNdJ4VUUC4l8FZxCUIxxaQU1Bghl4YZuWQKF61RCzgtXu9zhxjuJkxj3dvUoHPaY5hSXXLJlFBS0oy--gfdhCn6fF2mFssdUkKm5nsq_5RSxK4eou113NaM1rve6l1v9aG3LLx8iJ1Mj-0B_1tUBvge-GEdbv8TV1_fnFegFMAfRm-kfg</recordid><startdate>202101</startdate><enddate>202101</enddate><creator>Ramos‐Romero, Sara</creator><creator>Léniz, Asier</creator><creator>Martínez‐Maqueda, Daniel</creator><creator>Amézqueta, Susana</creator><creator>Fernández‐Quintela, Alfredo</creator><creator>Hereu, Mercè</creator><creator>Torres, Josep Luís</creator><creator>Portillo, María P.</creator><creator>Pérez‐Jiménez, Jara</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QP</scope><scope>7T5</scope><scope>7T7</scope><scope>7TK</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2811-4558</orcidid><orcidid>https://orcid.org/0000-0003-0784-5906</orcidid></search><sort><creationdate>202101</creationdate><title>Inter‐Individual Variability in Insulin Response after Grape Pomace Supplementation in Subjects at High Cardiometabolic Risk: Role of Microbiota and miRNA</title><author>Ramos‐Romero, Sara ; Léniz, Asier ; Martínez‐Maqueda, Daniel ; Amézqueta, Susana ; Fernández‐Quintela, Alfredo ; Hereu, Mercè ; Torres, Josep Luís ; Portillo, María P. ; Pérez‐Jiménez, Jara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4743-2eb333655bfb45c5ad16ff6568329634d8463581816650bb569b1b6918e7db873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Clinical trials</topic><topic>Deoxyribonucleic acid</topic><topic>Diet</topic><topic>Dietary supplements</topic><topic>DNA</topic><topic>Fatty acids</topic><topic>Fecal microflora</topic><topic>Feces</topic><topic>Gas chromatography</topic><topic>grape pomace</topic><topic>Grapes</topic><topic>Health risks</topic><topic>Insulin</topic><topic>insulin response</topic><topic>Intestinal microflora</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Microbiota</topic><topic>Microorganisms</topic><topic>MicroRNAs</topic><topic>miRNA</topic><topic>Polymerase chain reaction</topic><topic>Polyphenols</topic><topic>Prevotella</topic><topic>Substrates</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ramos‐Romero, Sara</creatorcontrib><creatorcontrib>Léniz, Asier</creatorcontrib><creatorcontrib>Martínez‐Maqueda, Daniel</creatorcontrib><creatorcontrib>Amézqueta, Susana</creatorcontrib><creatorcontrib>Fernández‐Quintela, Alfredo</creatorcontrib><creatorcontrib>Hereu, Mercè</creatorcontrib><creatorcontrib>Torres, Josep Luís</creatorcontrib><creatorcontrib>Portillo, María P.</creatorcontrib><creatorcontrib>Pérez‐Jiménez, Jara</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Molecular nutrition & food research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ramos‐Romero, Sara</au><au>Léniz, Asier</au><au>Martínez‐Maqueda, Daniel</au><au>Amézqueta, Susana</au><au>Fernández‐Quintela, Alfredo</au><au>Hereu, Mercè</au><au>Torres, Josep Luís</au><au>Portillo, María P.</au><au>Pérez‐Jiménez, Jara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inter‐Individual Variability in Insulin Response after Grape Pomace Supplementation in Subjects at High Cardiometabolic Risk: Role of Microbiota and miRNA</atitle><jtitle>Molecular nutrition & food research</jtitle><addtitle>Mol Nutr Food Res</addtitle><date>2021-01</date><risdate>2021</risdate><volume>65</volume><issue>2</issue><spage>e2000113</spage><epage>n/a</epage><pages>e2000113-n/a</pages><issn>1613-4125</issn><eissn>1613-4133</eissn><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.
Subjects at high metabolic risk with
higher levels of plasma insulin concentration are sensitive to grape pomace
(Responders) while showing reduced levels of Firmicutes and Prevotella, along with increased expression of miR‐222.
The variations in miR‐222 as well as in Prevotella could be indicators of responsiveness, suggesting that responders are those subjects showing impaired glycaemic control.</abstract><cop>Germany</cop><pub>Wiley Subscription Services, Inc</pub><pmid>33202108</pmid><doi>10.1002/mnfr.202000113</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-2811-4558</orcidid><orcidid>https://orcid.org/0000-0003-0784-5906</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Wiley-Blackwell Journals |
| subjects | Clinical trials Deoxyribonucleic acid Diet Dietary supplements DNA Fatty acids Fecal microflora Feces Gas chromatography grape pomace Grapes Health risks Insulin insulin response Intestinal microflora Metabolic disorders Metabolic syndrome Microbiota Microorganisms MicroRNAs miRNA Polymerase chain reaction Polyphenols Prevotella Substrates Variability |
| title | Inter‐Individual Variability in Insulin Response after Grape Pomace Supplementation in Subjects at High Cardiometabolic Risk: Role of Microbiota and miRNA |
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