Evaluating different extraction solvents for GC-MS based metabolomic analysis of the fecal metabolome of adult and baby giant pandas

Abstract The gut microbiome plays a fundamental role in host health and the fecal metabolome can be analysed to assess microbial activity and can be used as an intermediate phenotype monitoring the host-microbiome relationship. However, there is no established extraction protocol to study the fecal...

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Autores principales:	Yang Yang, Yanqiang Yin, Xuyang Chen, Chang Chen, Yinyin Xia, Hongbo Qi, Philip N. Baker, Hua Zhang, Ting-Li Han
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2dec7bd2e23a4328b44e05537f214b5f
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spelling	oai:doaj.org-article:2dec7bd2e23a4328b44e05537f214b5f2021-12-02T16:07:54ZEvaluating different extraction solvents for GC-MS based metabolomic analysis of the fecal metabolome of adult and baby giant pandas10.1038/s41598-019-48453-12045-2322https://doaj.org/article/2dec7bd2e23a4328b44e05537f214b5f2019-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-48453-1https://doaj.org/toc/2045-2322Abstract The gut microbiome plays a fundamental role in host health and the fecal metabolome can be analysed to assess microbial activity and can be used as an intermediate phenotype monitoring the host-microbiome relationship. However, there is no established extraction protocol to study the fecal metabolome of giant pandas. The aim of this research is to optimize extraction of the fecal metabolome from adult and baby pandas for high throughput metabolomics analysis using gas chromatography-mass spectrometry (GC-MS). Fecal samples were collected from eight adult pandas and a pair of twin baby pandas. Six different extraction solvents were investigated and evaluated for their reproducibility, metabolite coverage, and extraction efficiency, particularly in relation to the biochemical compound classes such as amino acids, tricarboxylic acid (TCA) cycle intermediates, fatty acids, secondary metabolites, and vitamin and cofactors. Our GC-MS results demonstrated that the extraction solvents with isopropanol: acetonitrile: water (3:2:2 ratio) and 80% methanol were the most appropriate for studying the fecal metabolome of adult and baby giant pandas respectively. These extraction solvents can be used in future study protocols for the analysis of the fecal metabolome in giant pandas.Yang YangYanqiang YinXuyang ChenChang ChenYinyin XiaHongbo QiPhilip N. BakerHua ZhangTing-Li HanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yang Yang Yanqiang Yin Xuyang Chen Chang Chen Yinyin Xia Hongbo Qi Philip N. Baker Hua Zhang Ting-Li Han Evaluating different extraction solvents for GC-MS based metabolomic analysis of the fecal metabolome of adult and baby giant pandas
description	Abstract The gut microbiome plays a fundamental role in host health and the fecal metabolome can be analysed to assess microbial activity and can be used as an intermediate phenotype monitoring the host-microbiome relationship. However, there is no established extraction protocol to study the fecal metabolome of giant pandas. The aim of this research is to optimize extraction of the fecal metabolome from adult and baby pandas for high throughput metabolomics analysis using gas chromatography-mass spectrometry (GC-MS). Fecal samples were collected from eight adult pandas and a pair of twin baby pandas. Six different extraction solvents were investigated and evaluated for their reproducibility, metabolite coverage, and extraction efficiency, particularly in relation to the biochemical compound classes such as amino acids, tricarboxylic acid (TCA) cycle intermediates, fatty acids, secondary metabolites, and vitamin and cofactors. Our GC-MS results demonstrated that the extraction solvents with isopropanol: acetonitrile: water (3:2:2 ratio) and 80% methanol were the most appropriate for studying the fecal metabolome of adult and baby giant pandas respectively. These extraction solvents can be used in future study protocols for the analysis of the fecal metabolome in giant pandas.
format	article
author	Yang Yang Yanqiang Yin Xuyang Chen Chang Chen Yinyin Xia Hongbo Qi Philip N. Baker Hua Zhang Ting-Li Han
author_facet	Yang Yang Yanqiang Yin Xuyang Chen Chang Chen Yinyin Xia Hongbo Qi Philip N. Baker Hua Zhang Ting-Li Han
author_sort	Yang Yang
title	Evaluating different extraction solvents for GC-MS based metabolomic analysis of the fecal metabolome of adult and baby giant pandas
title_short	Evaluating different extraction solvents for GC-MS based metabolomic analysis of the fecal metabolome of adult and baby giant pandas
title_full	Evaluating different extraction solvents for GC-MS based metabolomic analysis of the fecal metabolome of adult and baby giant pandas
title_fullStr	Evaluating different extraction solvents for GC-MS based metabolomic analysis of the fecal metabolome of adult and baby giant pandas
title_full_unstemmed	Evaluating different extraction solvents for GC-MS based metabolomic analysis of the fecal metabolome of adult and baby giant pandas
title_sort	evaluating different extraction solvents for gc-ms based metabolomic analysis of the fecal metabolome of adult and baby giant pandas
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/2dec7bd2e23a4328b44e05537f214b5f
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Evaluating different extraction solvents for GC-MS based metabolomic analysis of the fecal metabolome of adult and baby giant pandas

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