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A robust, single-injection method for targeted, broad-spectrum plasma metabolomics

BACKGROUND: Metabolomics is a powerful emerging technology for studying the systems biology and chemistry of health and disease. Current targeted methods are often limited by the number of analytes that can be measured, and/or require multiple injections. METHODS: We developed a single-injection, ta...

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Autores principales: Li, Kefeng, Naviaux, Jane C., Bright, A. Taylor, Wang, Lin, Naviaux, Robert K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583274/
https://www.ncbi.nlm.nih.gov/pubmed/28943831
http://dx.doi.org/10.1007/s11306-017-1264-1
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author Li, Kefeng
Naviaux, Jane C.
Bright, A. Taylor
Wang, Lin
Naviaux, Robert K.
author_facet Li, Kefeng
Naviaux, Jane C.
Bright, A. Taylor
Wang, Lin
Naviaux, Robert K.
author_sort Li, Kefeng
collection PubMed
description BACKGROUND: Metabolomics is a powerful emerging technology for studying the systems biology and chemistry of health and disease. Current targeted methods are often limited by the number of analytes that can be measured, and/or require multiple injections. METHODS: We developed a single-injection, targeted broad-spectrum plasma metabolomic method on a SCIEX Qtrap 5500 LC-ESI-MS/MS platform. Analytical validation was conducted for the reproducibility, linearity, carryover and blood collection tube effects. The method was also clinically validated for its potential utility in the diagnosis of chronic fatigue syndrome (CFS) using a cohort of 22 males CFS and 18 age- and sex-matched controls. RESULTS: Optimization of LC conditions and MS/MS parameters enabled the measurement of 610 key metabolites from 63 biochemical pathways and 95 stable isotope standards in a 45-minute HILIC method using a single injection without sacrificing sensitivity. The total imprecision (CV(total)) of peak area was 12% for both the control and CFS pools. The 8 metabolites selected in our previous study (PMID: 27573827) performed well in a clinical validation analysis even when the case and control samples were analyzed 1.5 years later on a different instrument by a different investigator, yielding a diagnostic accuracy of 95% (95% CI 85–100%) measured by the area under the ROC curve. CONCLUSIONS: A reliable and reproducible, broad-spectrum, targeted metabolomic method was developed, capable of measuring over 600 metabolites in plasma in a single injection. The method might be a useful tool in helping the diagnosis of CFS or other complex diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-017-1264-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-55832742017-09-20 A robust, single-injection method for targeted, broad-spectrum plasma metabolomics Li, Kefeng Naviaux, Jane C. Bright, A. Taylor Wang, Lin Naviaux, Robert K. Metabolomics Original Article BACKGROUND: Metabolomics is a powerful emerging technology for studying the systems biology and chemistry of health and disease. Current targeted methods are often limited by the number of analytes that can be measured, and/or require multiple injections. METHODS: We developed a single-injection, targeted broad-spectrum plasma metabolomic method on a SCIEX Qtrap 5500 LC-ESI-MS/MS platform. Analytical validation was conducted for the reproducibility, linearity, carryover and blood collection tube effects. The method was also clinically validated for its potential utility in the diagnosis of chronic fatigue syndrome (CFS) using a cohort of 22 males CFS and 18 age- and sex-matched controls. RESULTS: Optimization of LC conditions and MS/MS parameters enabled the measurement of 610 key metabolites from 63 biochemical pathways and 95 stable isotope standards in a 45-minute HILIC method using a single injection without sacrificing sensitivity. The total imprecision (CV(total)) of peak area was 12% for both the control and CFS pools. The 8 metabolites selected in our previous study (PMID: 27573827) performed well in a clinical validation analysis even when the case and control samples were analyzed 1.5 years later on a different instrument by a different investigator, yielding a diagnostic accuracy of 95% (95% CI 85–100%) measured by the area under the ROC curve. CONCLUSIONS: A reliable and reproducible, broad-spectrum, targeted metabolomic method was developed, capable of measuring over 600 metabolites in plasma in a single injection. The method might be a useful tool in helping the diagnosis of CFS or other complex diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-017-1264-1) contains supplementary material, which is available to authorized users. Springer US 2017-09-04 2017 /pmc/articles/PMC5583274/ /pubmed/28943831 http://dx.doi.org/10.1007/s11306-017-1264-1 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Li, Kefeng
Naviaux, Jane C.
Bright, A. Taylor
Wang, Lin
Naviaux, Robert K.
A robust, single-injection method for targeted, broad-spectrum plasma metabolomics
title A robust, single-injection method for targeted, broad-spectrum plasma metabolomics
title_full A robust, single-injection method for targeted, broad-spectrum plasma metabolomics
title_fullStr A robust, single-injection method for targeted, broad-spectrum plasma metabolomics
title_full_unstemmed A robust, single-injection method for targeted, broad-spectrum plasma metabolomics
title_short A robust, single-injection method for targeted, broad-spectrum plasma metabolomics
title_sort robust, single-injection method for targeted, broad-spectrum plasma metabolomics
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583274/
https://www.ncbi.nlm.nih.gov/pubmed/28943831
http://dx.doi.org/10.1007/s11306-017-1264-1
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