| Title |
A targeted metabolomic protocol for short-chain fatty acids and branched-chain amino acids
|
|---|---|
| Published in |
Metabolomics, February 2013
|
| DOI | 10.1007/s11306-013-0500-6 |
| Pubmed ID | |
| Authors |
Xiaojiao Zheng, Yunping Qiu, Wei Zhong, Sarah Baxter, Mingming Su, Qiong Li, Guoxiang Xie, Brandon M. Ore, Shanlei Qiao, Melanie D. Spencer, Steven H. Zeisel, Zhanxiang Zhou, Aihua Zhao, Wei Jia |
| Abstract |
Research in obesity and metabolic disorders that involve intestinal microbiota demands reliable methods for the precise measurement of the short-chain fatty acids (SCFAs) and branched-chain amino acids (BCAAs) concentration. Here, we report a rapid method of simultaneously determining SCFAs and BCAAs in biological samples using propyl chloroformate (PCF) derivatization followed by gas chromatography mass spectrometry (GC-MS) analysis. A one-step derivatization using 100 µL of PCF in a reaction system of water, propanol, and pyridine (v/v/v = 8:3:2) at pH 8 provided the optimal derivatization efficiency. The best extraction efficiency of the derivatized products was achieved by a two-step extraction with hexane. The method exhibited good derivatization efficiency and recovery for a wide range of concentrations with a low limit of detection for each compound. The relative standard deviations (RSDs) of all targeted compounds showed good intra- and inter-day (within 7 days) precision (< 10%), and good stability (< 20%) within 4 days at room temperature (23-25 °C), or 7 days when stored at -20 °C. We applied our method to measure SCFA and BCAA levels in fecal samples from rats administrated with different diet. Both univariate and multivariate statistics analysis of the concentrations of these target metabolites could differentiate three groups with ethanol intervention and different oils in diet. This method was also successfully employed to determine SCFA and BCAA in the feces, plasma and urine from normal humans, providing important baseline information of the concentrations of these metabolites. This novel metabolic profile study has great potential for translational research. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 1% |
| Malaysia | 2 | <1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| Vietnam | 1 | <1% |
| Canada | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 288 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 53 | 18% |
| Student > Ph. D. Student | 52 | 17% |
| Student > Master | 34 | 11% |
| Student > Bachelor | 30 | 10% |
| Student > Doctoral Student | 13 | 4% |
| Other | 41 | 14% |
| Unknown | 75 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 16% |
| Chemistry | 46 | 15% |
| Biochemistry, Genetics and Molecular Biology | 38 | 13% |
| Medicine and Dentistry | 31 | 10% |
| Immunology and Microbiology | 15 | 5% |
| Other | 31 | 10% |
| Unknown | 88 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 September 2013.
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#18,345,822
of 22,719,618 outputs
Outputs from Metabolomics
#1,071
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#219,614
of 283,201 outputs
Outputs of similar age from Metabolomics
#12
of 12 outputs
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