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Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS
Blood plasma is the most popularly used sample matrix for metabolite profiling studies, which aim to achieve global metabolite profiling and biomarker discovery. However, most of the current studies on plasma metabolite profiling focused on either the polar metabolites or lipids. In this study, a co...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5098236/ https://www.ncbi.nlm.nih.gov/pubmed/27819279 http://dx.doi.org/10.1038/srep36490 |
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author | Cai, Xiaoming Li, Ruibin |
author_facet | Cai, Xiaoming Li, Ruibin |
author_sort | Cai, Xiaoming |
collection | PubMed |
description | Blood plasma is the most popularly used sample matrix for metabolite profiling studies, which aim to achieve global metabolite profiling and biomarker discovery. However, most of the current studies on plasma metabolite profiling focused on either the polar metabolites or lipids. In this study, a comprehensive analysis approach based on HILIC-FTMS was developed to concurrently examine polar metabolites and lipids. The HILIC-FTMS method was developed using mixed standards of polar metabolites and lipids, the separation efficiency of which is better in HILIC mode than in C5 and C18 reversed phase (RP) chromatography. This method exhibits good reproducibility in retention times (CVs < 3.43%) and high mass accuracy (<3.5 ppm). In addition, we found MeOH/ACN/Acetone (1:1:1, v/v/v) as extraction cocktail could achieve desirable gathering of demanded extracts from plasma samples. We further integrated the MeOH/ACN/Acetone extraction with the HILIC-FTMS method for metabolite profiling and smoking-related biomarker discovery in human plasma samples. Heavy smokers could be successfully distinguished from non smokers by univariate and multivariate statistical analysis of the profiling data, and 62 biomarkers for cigarette smoke were found. These results indicate that our concurrent analysis approach could be potentially used for clinical biomarker discovery, metabolite-based diagnosis, etc. |
format | Online Article Text |
id | pubmed-5098236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50982362016-11-10 Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS Cai, Xiaoming Li, Ruibin Sci Rep Article Blood plasma is the most popularly used sample matrix for metabolite profiling studies, which aim to achieve global metabolite profiling and biomarker discovery. However, most of the current studies on plasma metabolite profiling focused on either the polar metabolites or lipids. In this study, a comprehensive analysis approach based on HILIC-FTMS was developed to concurrently examine polar metabolites and lipids. The HILIC-FTMS method was developed using mixed standards of polar metabolites and lipids, the separation efficiency of which is better in HILIC mode than in C5 and C18 reversed phase (RP) chromatography. This method exhibits good reproducibility in retention times (CVs < 3.43%) and high mass accuracy (<3.5 ppm). In addition, we found MeOH/ACN/Acetone (1:1:1, v/v/v) as extraction cocktail could achieve desirable gathering of demanded extracts from plasma samples. We further integrated the MeOH/ACN/Acetone extraction with the HILIC-FTMS method for metabolite profiling and smoking-related biomarker discovery in human plasma samples. Heavy smokers could be successfully distinguished from non smokers by univariate and multivariate statistical analysis of the profiling data, and 62 biomarkers for cigarette smoke were found. These results indicate that our concurrent analysis approach could be potentially used for clinical biomarker discovery, metabolite-based diagnosis, etc. Nature Publishing Group 2016-11-07 /pmc/articles/PMC5098236/ /pubmed/27819279 http://dx.doi.org/10.1038/srep36490 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Cai, Xiaoming Li, Ruibin Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS |
title | Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS |
title_full | Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS |
title_fullStr | Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS |
title_full_unstemmed | Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS |
title_short | Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS |
title_sort | concurrent profiling of polar metabolites and lipids in human plasma using hilic-ftms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5098236/ https://www.ncbi.nlm.nih.gov/pubmed/27819279 http://dx.doi.org/10.1038/srep36490 |
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