Gut Metabolites Are More Predictive of Disease and Cohoused States than Gut Bacterial Features in a Polycystic Ovary Syndrome-Like Mouse Model

Using a combination of untargeted metabolomics and metagenomics, we performed a comparative longitudinal analysis of the feces collected in a cohousing study with a PCOS-like mouse model. Our results showed that gut metabolite composition experienced earlier and more pronounced differentiation in b...

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Autores principales:	Bryan Ho, Daniel Ryback, Basilin Benson, Cayla N. Mason, Pedro J. Torres, Robert A. Quinn, Varykina G. Thackray, Scott T. Kelley
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2021
Materias:	Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/f85656e228ff494298b3ffa9c0efb289
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spelling	oai:doaj.org-article:f85656e228ff494298b3ffa9c0efb2892021-12-02T19:23:30ZGut Metabolites Are More Predictive of Disease and Cohoused States than Gut Bacterial Features in a Polycystic Ovary Syndrome-Like Mouse Model2379-507710.1128/mSystems.01149-20https://doaj.org/article/f85656e228ff494298b3ffa9c0efb2892021-10-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.01149-20https://doaj.org/toc/2379-5077 Using a combination of untargeted metabolomics and metagenomics, we performed a comparative longitudinal analysis of the feces collected in a cohousing study with a PCOS-like mouse model. Our results showed that gut metabolite composition experienced earlier and more pronounced differentiation in both the disease model and cohoused mice compared with the microbial composition.Bryan HoDaniel RybackBasilin BensonCayla N. MasonPedro J. TorresRobert A. QuinnVarykina G. ThackrayScott T. KelleyAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmSystems, Vol 6, Iss 5 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microbiology QR1-502
spellingShingle	Microbiology QR1-502 Bryan Ho Daniel Ryback Basilin Benson Cayla N. Mason Pedro J. Torres Robert A. Quinn Varykina G. Thackray Scott T. Kelley Gut Metabolites Are More Predictive of Disease and Cohoused States than Gut Bacterial Features in a Polycystic Ovary Syndrome-Like Mouse Model
description	Using a combination of untargeted metabolomics and metagenomics, we performed a comparative longitudinal analysis of the feces collected in a cohousing study with a PCOS-like mouse model. Our results showed that gut metabolite composition experienced earlier and more pronounced differentiation in both the disease model and cohoused mice compared with the microbial composition.
format	article
author	Bryan Ho Daniel Ryback Basilin Benson Cayla N. Mason Pedro J. Torres Robert A. Quinn Varykina G. Thackray Scott T. Kelley
author_facet	Bryan Ho Daniel Ryback Basilin Benson Cayla N. Mason Pedro J. Torres Robert A. Quinn Varykina G. Thackray Scott T. Kelley
author_sort	Bryan Ho
title	Gut Metabolites Are More Predictive of Disease and Cohoused States than Gut Bacterial Features in a Polycystic Ovary Syndrome-Like Mouse Model
title_short	Gut Metabolites Are More Predictive of Disease and Cohoused States than Gut Bacterial Features in a Polycystic Ovary Syndrome-Like Mouse Model
title_full	Gut Metabolites Are More Predictive of Disease and Cohoused States than Gut Bacterial Features in a Polycystic Ovary Syndrome-Like Mouse Model
title_fullStr	Gut Metabolites Are More Predictive of Disease and Cohoused States than Gut Bacterial Features in a Polycystic Ovary Syndrome-Like Mouse Model
title_full_unstemmed	Gut Metabolites Are More Predictive of Disease and Cohoused States than Gut Bacterial Features in a Polycystic Ovary Syndrome-Like Mouse Model
title_sort	gut metabolites are more predictive of disease and cohoused states than gut bacterial features in a polycystic ovary syndrome-like mouse model
publisher	American Society for Microbiology
publishDate	2021
url	https://doaj.org/article/f85656e228ff494298b3ffa9c0efb289
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Gut Metabolites Are More Predictive of Disease and Cohoused States than Gut Bacterial Features in a Polycystic Ovary Syndrome-Like Mouse Model

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