The intestinal microbiome is a co-determinant of the postprandial plasma glucose response

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The intestinal microbiome is a co-determinant of the postprandial plasma glucose response. / Søndertoft, Nadja Buus; Vogt, Josef Korbinian; Arumugam, Manimozhiyan; Kristensen, Mette; Gøbel, Rikke Juul; Fan, Yong; Lyu, Liwei; Bahl, Martin I.; Eriksen, Carsten; Ängquist, Lars; Frøkiær, Hanne; Hansen, Tue Haldor; Brix, Susanne; Nielsen, H. Bjørn; Hansen, Torben; Vestergaard, Henrik; Gupta, Ramneek; Licht, Tine Rask; Lauritzen, Lotte; Pedersen, Oluf Borbye.

I: P L o S One, Bind 15, Nr. 9, e0238648, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Søndertoft, NB, Vogt, JK, Arumugam, M, Kristensen, M, Gøbel, RJ, Fan, Y, Lyu, L, Bahl, MI, Eriksen, C, Ängquist, L, Frøkiær, H, Hansen, TH, Brix, S, Nielsen, HB, Hansen, T, Vestergaard, H, Gupta, R, Licht, TR, Lauritzen, L & Pedersen, OB 2020, 'The intestinal microbiome is a co-determinant of the postprandial plasma glucose response', P L o S One, bind 15, nr. 9, e0238648. https://doi.org/10.1371/journal.pone.0238648

APA

Søndertoft, N. B., Vogt, J. K., Arumugam, M., Kristensen, M., Gøbel, R. J., Fan, Y., Lyu, L., Bahl, M. I., Eriksen, C., Ängquist, L., Frøkiær, H., Hansen, T. H., Brix, S., Nielsen, H. B., Hansen, T., Vestergaard, H., Gupta, R., Licht, T. R., Lauritzen, L., & Pedersen, O. B. (2020). The intestinal microbiome is a co-determinant of the postprandial plasma glucose response. P L o S One, 15(9), [e0238648]. https://doi.org/10.1371/journal.pone.0238648

Vancouver

Søndertoft NB, Vogt JK, Arumugam M, Kristensen M, Gøbel RJ, Fan Y o.a. The intestinal microbiome is a co-determinant of the postprandial plasma glucose response. P L o S One. 2020;15(9). e0238648. https://doi.org/10.1371/journal.pone.0238648

Author

Søndertoft, Nadja Buus ; Vogt, Josef Korbinian ; Arumugam, Manimozhiyan ; Kristensen, Mette ; Gøbel, Rikke Juul ; Fan, Yong ; Lyu, Liwei ; Bahl, Martin I. ; Eriksen, Carsten ; Ängquist, Lars ; Frøkiær, Hanne ; Hansen, Tue Haldor ; Brix, Susanne ; Nielsen, H. Bjørn ; Hansen, Torben ; Vestergaard, Henrik ; Gupta, Ramneek ; Licht, Tine Rask ; Lauritzen, Lotte ; Pedersen, Oluf Borbye. / The intestinal microbiome is a co-determinant of the postprandial plasma glucose response. I: P L o S One. 2020 ; Bind 15, Nr. 9.

Bibtex

@article{c4ef42677d13439fb0d3b10fa486869d,
title = "The intestinal microbiome is a co-determinant of the postprandial plasma glucose response",
abstract = "Elevated postprandial plasma glucose is a risk factor for development of type 2 diabetes and cardiovascular disease. We hypothesized that the inter-individual postprandial plasma glucose response varies partly depending on the intestinal microbiome composition and function. We analyzed data from Danish adults (n = 106), who were self-reported healthy and attended the baseline visit of two previously reported randomized controlled cross-over trials within the Gut, Grain and Greens project. Plasma glucose concentrations at five time points were measured before and during three hours after a standardized breakfast. Based on these data, we devised machine learning algorithms integrating bio-clinical, as well as shotgun-sequencing-derived taxa and functional potentials of the intestinal microbiome to predict individual postprandial glucose excursions. In this post hoc study, we found microbial and clinical features, which predicted up to 48% of the inter-individual variance of postprandial plasma glucose responses (Pearson correlation coefficient of measured vs. predicted values, R = 0.69, 95% CI: 0.45 to 0.84, p<0.001). The features were age, fasting serum triglycerides, systolic blood pressure, BMI, fasting total serum cholesterol, abundance of Bifidobacterium genus, richness of metagenomics species and abundance of a metagenomic species annotated to Clostridiales at order level. A model based only on microbial features predicted up to 14% of the variance in postprandial plasma glucose excursions (R = 0.37, 95% CI: 0.02 to 0.64, p = 0.04). Adding fasting glycaemic measures to the model including microbial and bio-clinical features increased the predictive power to R = 0.78 (95% CI: 0.59 to 0.89, p<0.001), explaining more than 60% of the inter-individual variance of postprandial plasma glucose concentrations. The outcome of the study points to a potential role of the taxa and functional potentials of the intestinal microbiome. If validated in larger studies our findings may be included in future algorithms attempting to develop personalized nutrition, especially for prediction of individual blood glucose excursions in dys-glycaemic individuals.",
author = "S{\o}ndertoft, {Nadja Buus} and Vogt, {Josef Korbinian} and Manimozhiyan Arumugam and Mette Kristensen and G{\o}bel, {Rikke Juul} and Yong Fan and Liwei Lyu and Bahl, {Martin I.} and Carsten Eriksen and Lars {\"A}ngquist and Hanne Fr{\o}ki{\ae}r and Hansen, {Tue Haldor} and Susanne Brix and Nielsen, {H. Bj{\o}rn} and Torben Hansen and Henrik Vestergaard and Ramneek Gupta and Licht, {Tine Rask} and Lotte Lauritzen and Pedersen, {Oluf Borbye}",
note = "CURIS 2020 NEXS 305",
year = "2020",
doi = "10.1371/journal.pone.0238648",
language = "English",
volume = "15",
journal = "P L o S One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "9",

}

RIS

TY - JOUR

T1 - The intestinal microbiome is a co-determinant of the postprandial plasma glucose response

AU - Søndertoft, Nadja Buus

AU - Vogt, Josef Korbinian

AU - Arumugam, Manimozhiyan

AU - Kristensen, Mette

AU - Gøbel, Rikke Juul

AU - Fan, Yong

AU - Lyu, Liwei

AU - Bahl, Martin I.

AU - Eriksen, Carsten

AU - Ängquist, Lars

AU - Frøkiær, Hanne

AU - Hansen, Tue Haldor

AU - Brix, Susanne

AU - Nielsen, H. Bjørn

AU - Hansen, Torben

AU - Vestergaard, Henrik

AU - Gupta, Ramneek

AU - Licht, Tine Rask

AU - Lauritzen, Lotte

AU - Pedersen, Oluf Borbye

N1 - CURIS 2020 NEXS 305

PY - 2020

Y1 - 2020

N2 - Elevated postprandial plasma glucose is a risk factor for development of type 2 diabetes and cardiovascular disease. We hypothesized that the inter-individual postprandial plasma glucose response varies partly depending on the intestinal microbiome composition and function. We analyzed data from Danish adults (n = 106), who were self-reported healthy and attended the baseline visit of two previously reported randomized controlled cross-over trials within the Gut, Grain and Greens project. Plasma glucose concentrations at five time points were measured before and during three hours after a standardized breakfast. Based on these data, we devised machine learning algorithms integrating bio-clinical, as well as shotgun-sequencing-derived taxa and functional potentials of the intestinal microbiome to predict individual postprandial glucose excursions. In this post hoc study, we found microbial and clinical features, which predicted up to 48% of the inter-individual variance of postprandial plasma glucose responses (Pearson correlation coefficient of measured vs. predicted values, R = 0.69, 95% CI: 0.45 to 0.84, p<0.001). The features were age, fasting serum triglycerides, systolic blood pressure, BMI, fasting total serum cholesterol, abundance of Bifidobacterium genus, richness of metagenomics species and abundance of a metagenomic species annotated to Clostridiales at order level. A model based only on microbial features predicted up to 14% of the variance in postprandial plasma glucose excursions (R = 0.37, 95% CI: 0.02 to 0.64, p = 0.04). Adding fasting glycaemic measures to the model including microbial and bio-clinical features increased the predictive power to R = 0.78 (95% CI: 0.59 to 0.89, p<0.001), explaining more than 60% of the inter-individual variance of postprandial plasma glucose concentrations. The outcome of the study points to a potential role of the taxa and functional potentials of the intestinal microbiome. If validated in larger studies our findings may be included in future algorithms attempting to develop personalized nutrition, especially for prediction of individual blood glucose excursions in dys-glycaemic individuals.

AB - Elevated postprandial plasma glucose is a risk factor for development of type 2 diabetes and cardiovascular disease. We hypothesized that the inter-individual postprandial plasma glucose response varies partly depending on the intestinal microbiome composition and function. We analyzed data from Danish adults (n = 106), who were self-reported healthy and attended the baseline visit of two previously reported randomized controlled cross-over trials within the Gut, Grain and Greens project. Plasma glucose concentrations at five time points were measured before and during three hours after a standardized breakfast. Based on these data, we devised machine learning algorithms integrating bio-clinical, as well as shotgun-sequencing-derived taxa and functional potentials of the intestinal microbiome to predict individual postprandial glucose excursions. In this post hoc study, we found microbial and clinical features, which predicted up to 48% of the inter-individual variance of postprandial plasma glucose responses (Pearson correlation coefficient of measured vs. predicted values, R = 0.69, 95% CI: 0.45 to 0.84, p<0.001). The features were age, fasting serum triglycerides, systolic blood pressure, BMI, fasting total serum cholesterol, abundance of Bifidobacterium genus, richness of metagenomics species and abundance of a metagenomic species annotated to Clostridiales at order level. A model based only on microbial features predicted up to 14% of the variance in postprandial plasma glucose excursions (R = 0.37, 95% CI: 0.02 to 0.64, p = 0.04). Adding fasting glycaemic measures to the model including microbial and bio-clinical features increased the predictive power to R = 0.78 (95% CI: 0.59 to 0.89, p<0.001), explaining more than 60% of the inter-individual variance of postprandial plasma glucose concentrations. The outcome of the study points to a potential role of the taxa and functional potentials of the intestinal microbiome. If validated in larger studies our findings may be included in future algorithms attempting to develop personalized nutrition, especially for prediction of individual blood glucose excursions in dys-glycaemic individuals.

U2 - 10.1371/journal.pone.0238648

DO - 10.1371/journal.pone.0238648

M3 - Journal article

C2 - 32947608

VL - 15

JO - P L o S One

JF - P L o S One

SN - 1932-6203

IS - 9

M1 - e0238648

ER -

ID: 248767334