The Gut Microbiome and Abiotic Factors as Potential Determinants of Postprandial Glucose Responses: A Single-Arm Meal Study
The gut microbiome has combined with other person-specific information, such as blood parameters, dietary habits, anthropometrics, and physical activity been found to predict personalized postprandial glucose responses (PPGRs) to various foods. Yet, the contributions of specific microbiome taxa, mea...
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Published in | Frontiers in nutrition (Lausanne) Vol. 7; p. 594850 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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14.01.2021
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Abstract | The gut microbiome has combined with other person-specific information, such as blood parameters, dietary habits, anthropometrics, and physical activity been found to predict personalized postprandial glucose responses (PPGRs) to various foods. Yet, the contributions of specific microbiome taxa, measures of fermentation, and abiotic factors in the colon to glycemic control remain elusive. We tested whether PPGRs 60 min after a standardized breakfast was associated with gut microbial α-diversity (primary outcome) and explored whether postprandial responses of glucose and insulin were associated with specific microbiome taxa, colonic fermentation as reflected by fecal short-chain fatty acids (SCFAs), and breath hydrogen and methane exhalation, as well as abiotic factors including fecal pH, fecal water content, fecal energy density, intestinal transit time (ITT), and stool consistency. A single-arm meal trial was conducted. A total of 31 healthy (24 female and seven male) subjects consumed a standardized evening meal and a subsequent standardized breakfast (1,499 kJ) where blood was collected for analysis of postprandial glucose and insulin responses. PPGRs to the same breakfast varied across the healthy subjects. The largest inter-individual variability in PPGRs was observed 60 min after the meal but was not associated with gut microbial α-diversity. In addition, no significant associations were observed between postprandial responses and specific taxa of the gut microbiome, measures of colonic fermentation, ITT, or other abiotic factors. However, fasting glucose concentrations were negatively associated with ITT, and fasting insulin was positively associated with fasting breath hydrogen. In conclusion, the gut microbiome, measures of colonic fermentation, and abiotic factors were not shown to be significantly associated with variability in postprandial responses, suggesting that contributions of the gut microbiome, colonic fermentation, and abiotic factors to PPGRs may be subtle in healthy adults. |
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AbstractList | The gut microbiome has combined with other person-specific information, such as blood parameters, dietary habits, anthropometrics, and physical activity been found to predict personalized postprandial glucose responses (PPGRs) to various foods. Yet, the contributions of specific microbiome taxa, measures of fermentation, and abiotic factors in the colon to glycemic control remain elusive. We tested whether PPGRs 60 min after a standardized breakfast was associated with gut microbial α-diversity (primary outcome) and explored whether postprandial responses of glucose and insulin were associated with specific microbiome taxa, colonic fermentation as reflected by fecal short-chain fatty acids (SCFAs), and breath hydrogen and methane exhalation, as well as abiotic factors including fecal pH, fecal water content, fecal energy density, intestinal transit time (ITT), and stool consistency. A single-arm meal trial was conducted. A total of 31 healthy (24 female and seven male) subjects consumed a standardized evening meal and a subsequent standardized breakfast (1,499 kJ) where blood was collected for analysis of postprandial glucose and insulin responses. PPGRs to the same breakfast varied across the healthy subjects. The largest inter-individual variability in PPGRs was observed 60 min after the meal but was not associated with gut microbial α-diversity. In addition, no significant associations were observed between postprandial responses and specific taxa of the gut microbiome, measures of colonic fermentation, ITT, or other abiotic factors. However, fasting glucose concentrations were negatively associated with ITT, and fasting insulin was positively associated with fasting breath hydrogen. In conclusion, the gut microbiome, measures of colonic fermentation, and abiotic factors were not shown to be significantly associated with variability in postprandial responses, suggesting that contributions of the gut microbiome, colonic fermentation, and abiotic factors to PPGRs may be subtle in healthy adults. The gut microbiome has combined with other person-specific information, such as blood parameters, dietary habits, anthropometrics, and physical activity been found to predict personalized postprandial glucose responses (PPGRs) to various foods. Yet, the contributions of specific microbiome taxa, measures of fermentation, and abiotic factors in the colon to glycemic control remain elusive. We tested whether PPGRs 60 min after a standardized breakfast was associated with gut microbial α-diversity (primary outcome) and explored whether postprandial responses of glucose and insulin were associated with specific microbiome taxa, colonic fermentation as reflected by fecal short-chain fatty acids (SCFAs), and breath hydrogen and methane exhalation, as well as abiotic factors including fecal pH, fecal water content, fecal energy density, intestinal transit time (ITT), and stool consistency. A single-arm meal trial was conducted. A total of 31 healthy (24 female and seven male) subjects consumed a standardized evening meal and a subsequent standardized breakfast (1,499 kJ) where blood was collected for analysis of postprandial glucose and insulin responses. PPGRs to the same breakfast varied across the healthy subjects. The largest inter-individual variability in PPGRs was observed 60 min after the meal but was not associated with gut microbial α-diversity. In addition, no significant associations were observed between postprandial responses and specific taxa of the gut microbiome, measures of colonic fermentation, ITT, or other abiotic factors. However, fasting glucose concentrations were negatively associated with ITT, and fasting insulin was positively associated with fasting breath hydrogen. In conclusion, the gut microbiome, measures of colonic fermentation, and abiotic factors were not shown to be significantly associated with variability in postprandial responses, suggesting that contributions of the gut microbiome, colonic fermentation, and abiotic factors to PPGRs may be subtle in healthy adults.The gut microbiome has combined with other person-specific information, such as blood parameters, dietary habits, anthropometrics, and physical activity been found to predict personalized postprandial glucose responses (PPGRs) to various foods. Yet, the contributions of specific microbiome taxa, measures of fermentation, and abiotic factors in the colon to glycemic control remain elusive. We tested whether PPGRs 60 min after a standardized breakfast was associated with gut microbial α-diversity (primary outcome) and explored whether postprandial responses of glucose and insulin were associated with specific microbiome taxa, colonic fermentation as reflected by fecal short-chain fatty acids (SCFAs), and breath hydrogen and methane exhalation, as well as abiotic factors including fecal pH, fecal water content, fecal energy density, intestinal transit time (ITT), and stool consistency. A single-arm meal trial was conducted. A total of 31 healthy (24 female and seven male) subjects consumed a standardized evening meal and a subsequent standardized breakfast (1,499 kJ) where blood was collected for analysis of postprandial glucose and insulin responses. PPGRs to the same breakfast varied across the healthy subjects. The largest inter-individual variability in PPGRs was observed 60 min after the meal but was not associated with gut microbial α-diversity. In addition, no significant associations were observed between postprandial responses and specific taxa of the gut microbiome, measures of colonic fermentation, ITT, or other abiotic factors. However, fasting glucose concentrations were negatively associated with ITT, and fasting insulin was positively associated with fasting breath hydrogen. In conclusion, the gut microbiome, measures of colonic fermentation, and abiotic factors were not shown to be significantly associated with variability in postprandial responses, suggesting that contributions of the gut microbiome, colonic fermentation, and abiotic factors to PPGRs may be subtle in healthy adults. |
Author | Nestel, Nathalie Dragsted, Lars Ove Hvass, Josephine D. Hansen, Lars H. Nielsen, Dennis S. Krych, Lukasz Roager, Henrik M. Bahl, Martin I. |
AuthorAffiliation | 4 Department of Food Science, University of Copenhagen , Frederiksberg , Denmark 3 Department of Plant and Environmental Science, University of Copenhagen , Frederiksberg , Denmark 2 National Food Institute, Technical University of Denmark , Kgs. Lyngby , Denmark 1 Department of Nutrition, Exercise and Sports, University of Copenhagen , Frederiksberg , Denmark |
AuthorAffiliation_xml | – name: 3 Department of Plant and Environmental Science, University of Copenhagen , Frederiksberg , Denmark – name: 2 National Food Institute, Technical University of Denmark , Kgs. Lyngby , Denmark – name: 4 Department of Food Science, University of Copenhagen , Frederiksberg , Denmark – name: 1 Department of Nutrition, Exercise and Sports, University of Copenhagen , Frederiksberg , Denmark |
Author_xml | – sequence: 1 givenname: Nathalie surname: Nestel fullname: Nestel, Nathalie – sequence: 2 givenname: Josephine D. surname: Hvass fullname: Hvass, Josephine D. – sequence: 3 givenname: Martin I. surname: Bahl fullname: Bahl, Martin I. – sequence: 4 givenname: Lars H. surname: Hansen fullname: Hansen, Lars H. – sequence: 5 givenname: Lukasz surname: Krych fullname: Krych, Lukasz – sequence: 6 givenname: Dennis S. surname: Nielsen fullname: Nielsen, Dennis S. – sequence: 7 givenname: Lars Ove surname: Dragsted fullname: Dragsted, Lars Ove – sequence: 8 givenname: Henrik M. surname: Roager fullname: Roager, Henrik M. |
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Cites_doi | 10.1111/j.1572-0241.2006.01020.x 10.1152/AJPGI.00283.2019 10.3390/nu10030275 10.1136/gut.41.2.245 10.1023/A:1010933404324 10.1002/jsfa.3954 10.1038/nature25979 10.1128/aem.68.10.5186-5190.2002 10.1016/j.cell.2015.11.001 10.1038/nature12506 10.2337/db15-0893 10.1111/1462-2920.13589 10.1126/science.aad3503 10.1146/annurev.food.102308.124101 10.2337/dc16-0351 10.1126/science.1208344 10.1101/641019 10.1136/gutjnl-2013-306541 10.1111/acel.13105 10.1038/s41591-020-0801-z 10.5351/CSAM.2015.22.6.665 10.1016/j.cmet.2015.10.001 10.1038/s41591-020-0934-0 10.1023/A:1011935603893 10.1038/nmicrobiol.2016.93 10.1371/journal.pone.0142352 10.5056/jnm.2014.20.2.265 10.1111/nmo.13107 10.1016/j.jhep.2013.11.034 10.1046/j.1365-2281.2000.00256.x 10.1038/nature12480 10.1128/mSystems.00031-18 10.1136/gut.39.1.109 10.1136/gutjnl-2019-320438 10.1136/gutjnl-2015-309618 10.1017/S0007114507894311 10.1128/AEM.71.7.3692 10.1002/mnfr.201901137 10.1001/jamanetworkopen.2018.8102 10.1111/j.1365-2672.1996.tb04331.x 10.1186/1475-2891-12-46 10.1111/j.2517-6161.1995.tb02031.x 10.1093/nar/gkx295 10.1056/NEJM197106242842502 10.1038/nature25973 |
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Copyright | Copyright © 2021 Nestel, Hvass, Bahl, Hansen, Krych, Nielsen, Dragsted and Roager. Copyright © 2021 Nestel, Hvass, Bahl, Hansen, Krych, Nielsen, Dragsted and Roager. 2021 Nestel, Hvass, Bahl, Hansen, Krych, Nielsen, Dragsted and Roager |
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Keywords | colonic fermentation gut microbiome individuality abiotic factors intestinal transit time personalized nutrition |
Language | English |
License | Copyright © 2021 Nestel, Hvass, Bahl, Hansen, Krych, Nielsen, Dragsted and Roager. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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SubjectTerms | abiotic factors colonic fermentation gut microbiome individuality intestinal transit time Nutrition personalized nutrition |
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Title | The Gut Microbiome and Abiotic Factors as Potential Determinants of Postprandial Glucose Responses: A Single-Arm Meal Study |
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