Quantifying Diet-Induced Metabolic Changes of the Human Gut Microbiome

Research output: Contribution to journalJournal articleResearchpeer-review

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Quantifying Diet-Induced Metabolic Changes of the Human Gut Microbiome. / Shoaie, Saeed; Ghaffari, Pouyan; Kovatcheva-Datchary, Petia; Mardinoglu, Adil; Sen, Partho; Pujos-Guillot, Estelle; de Wouters, Tomas; Juste, Catherine; Rizkalla, Salwa; Chilloux, Julien; Hoyles, Lesley; Nicholson, Jeremy K; Dore, Joel; Dumas, Marc E; Clement, Karine; Bäckhed, Gert Fredrik; Nielsen, Jens; MICRO-Obes Consortium.

In: Cell Metabolism, Vol. 22, No. 2, 04.08.2015, p. 320-31.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Shoaie, S, Ghaffari, P, Kovatcheva-Datchary, P, Mardinoglu, A, Sen, P, Pujos-Guillot, E, de Wouters, T, Juste, C, Rizkalla, S, Chilloux, J, Hoyles, L, Nicholson, JK, Dore, J, Dumas, ME, Clement, K, Bäckhed, GF, Nielsen, J & MICRO-Obes Consortium 2015, 'Quantifying Diet-Induced Metabolic Changes of the Human Gut Microbiome', Cell Metabolism, vol. 22, no. 2, pp. 320-31. https://doi.org/10.1016/j.cmet.2015.07.001

APA

Shoaie, S., Ghaffari, P., Kovatcheva-Datchary, P., Mardinoglu, A., Sen, P., Pujos-Guillot, E., ... MICRO-Obes Consortium (2015). Quantifying Diet-Induced Metabolic Changes of the Human Gut Microbiome. Cell Metabolism, 22(2), 320-31. https://doi.org/10.1016/j.cmet.2015.07.001

Vancouver

Shoaie S, Ghaffari P, Kovatcheva-Datchary P, Mardinoglu A, Sen P, Pujos-Guillot E et al. Quantifying Diet-Induced Metabolic Changes of the Human Gut Microbiome. Cell Metabolism. 2015 Aug 4;22(2):320-31. https://doi.org/10.1016/j.cmet.2015.07.001

Author

Shoaie, Saeed ; Ghaffari, Pouyan ; Kovatcheva-Datchary, Petia ; Mardinoglu, Adil ; Sen, Partho ; Pujos-Guillot, Estelle ; de Wouters, Tomas ; Juste, Catherine ; Rizkalla, Salwa ; Chilloux, Julien ; Hoyles, Lesley ; Nicholson, Jeremy K ; Dore, Joel ; Dumas, Marc E ; Clement, Karine ; Bäckhed, Gert Fredrik ; Nielsen, Jens ; MICRO-Obes Consortium. / Quantifying Diet-Induced Metabolic Changes of the Human Gut Microbiome. In: Cell Metabolism. 2015 ; Vol. 22, No. 2. pp. 320-31.

Bibtex

@article{14321f66d6d84b7a98168d43f160383d,
title = "Quantifying Diet-Induced Metabolic Changes of the Human Gut Microbiome",
abstract = "The human gut microbiome is known to be associated with various human disorders, but a major challenge is to go beyond association studies and elucidate causalities. Mathematical modeling of the human gut microbiome at a genome scale is a useful tool to decipher microbe-microbe, diet-microbe and microbe-host interactions. Here, we describe the CASINO (Community And Systems-level INteractive Optimization) toolbox, a comprehensive computational platform for analysis of microbial communities through metabolic modeling. We first validated the toolbox by simulating and testing the performance of single bacteria and whole communities in vitro. Focusing on metabolic interactions between the diet, gut microbiota, and host metabolism, we demonstrated the predictive power of the toolbox in a diet-intervention study of 45 obese and overweight individuals and validated our predictions by fecal and blood metabolomics data. Thus, modeling could quantitatively describe altered fecal and serum amino acid levels in response to diet intervention.",
author = "Saeed Shoaie and Pouyan Ghaffari and Petia Kovatcheva-Datchary and Adil Mardinoglu and Partho Sen and Estelle Pujos-Guillot and {de Wouters}, Tomas and Catherine Juste and Salwa Rizkalla and Julien Chilloux and Lesley Hoyles and Nicholson, {Jeremy K} and Joel Dore and Dumas, {Marc E} and Karine Clement and B{\"a}ckhed, {Gert Fredrik} and Jens Nielsen and {MICRO-Obes Consortium}",
note = "Copyright {\circledC} 2015 Elsevier Inc. All rights reserved.",
year = "2015",
month = "8",
day = "4",
doi = "10.1016/j.cmet.2015.07.001",
language = "English",
volume = "22",
pages = "320--31",
journal = "Cell Metabolism",
issn = "1550-4131",
publisher = "Cell Press",
number = "2",

}

RIS

TY - JOUR

T1 - Quantifying Diet-Induced Metabolic Changes of the Human Gut Microbiome

AU - Shoaie, Saeed

AU - Ghaffari, Pouyan

AU - Kovatcheva-Datchary, Petia

AU - Mardinoglu, Adil

AU - Sen, Partho

AU - Pujos-Guillot, Estelle

AU - de Wouters, Tomas

AU - Juste, Catherine

AU - Rizkalla, Salwa

AU - Chilloux, Julien

AU - Hoyles, Lesley

AU - Nicholson, Jeremy K

AU - Dore, Joel

AU - Dumas, Marc E

AU - Clement, Karine

AU - Bäckhed, Gert Fredrik

AU - Nielsen, Jens

AU - MICRO-Obes Consortium

N1 - Copyright © 2015 Elsevier Inc. All rights reserved.

PY - 2015/8/4

Y1 - 2015/8/4

N2 - The human gut microbiome is known to be associated with various human disorders, but a major challenge is to go beyond association studies and elucidate causalities. Mathematical modeling of the human gut microbiome at a genome scale is a useful tool to decipher microbe-microbe, diet-microbe and microbe-host interactions. Here, we describe the CASINO (Community And Systems-level INteractive Optimization) toolbox, a comprehensive computational platform for analysis of microbial communities through metabolic modeling. We first validated the toolbox by simulating and testing the performance of single bacteria and whole communities in vitro. Focusing on metabolic interactions between the diet, gut microbiota, and host metabolism, we demonstrated the predictive power of the toolbox in a diet-intervention study of 45 obese and overweight individuals and validated our predictions by fecal and blood metabolomics data. Thus, modeling could quantitatively describe altered fecal and serum amino acid levels in response to diet intervention.

AB - The human gut microbiome is known to be associated with various human disorders, but a major challenge is to go beyond association studies and elucidate causalities. Mathematical modeling of the human gut microbiome at a genome scale is a useful tool to decipher microbe-microbe, diet-microbe and microbe-host interactions. Here, we describe the CASINO (Community And Systems-level INteractive Optimization) toolbox, a comprehensive computational platform for analysis of microbial communities through metabolic modeling. We first validated the toolbox by simulating and testing the performance of single bacteria and whole communities in vitro. Focusing on metabolic interactions between the diet, gut microbiota, and host metabolism, we demonstrated the predictive power of the toolbox in a diet-intervention study of 45 obese and overweight individuals and validated our predictions by fecal and blood metabolomics data. Thus, modeling could quantitatively describe altered fecal and serum amino acid levels in response to diet intervention.

U2 - 10.1016/j.cmet.2015.07.001

DO - 10.1016/j.cmet.2015.07.001

M3 - Journal article

VL - 22

SP - 320

EP - 331

JO - Cell Metabolism

JF - Cell Metabolism

SN - 1550-4131

IS - 2

ER -

ID: 150770656