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Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology

[Image: see text] Large-scale metabolic profiling requires the development of novel economical high-throughput analytical methods to facilitate characterization of systemic metabolic variation in population phenotypes. We report a fit-for-purpose direct infusion nanoelectrospray high-resolution mass...

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Autores principales: Chekmeneva, Elena, dos Santos Correia, Gonçalo, Chan, Queenie, Wijeyesekera, Anisha, Tin, Adrienne, Young, Jeffery Hunter, Elliott, Paul, Nicholson, Jeremy K., Holmes, Elaine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387673/
https://www.ncbi.nlm.nih.gov/pubmed/28245357
http://dx.doi.org/10.1021/acs.jproteome.6b01003
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author Chekmeneva, Elena
dos Santos Correia, Gonçalo
Chan, Queenie
Wijeyesekera, Anisha
Tin, Adrienne
Young, Jeffery Hunter
Elliott, Paul
Nicholson, Jeremy K.
Holmes, Elaine
author_facet Chekmeneva, Elena
dos Santos Correia, Gonçalo
Chan, Queenie
Wijeyesekera, Anisha
Tin, Adrienne
Young, Jeffery Hunter
Elliott, Paul
Nicholson, Jeremy K.
Holmes, Elaine
author_sort Chekmeneva, Elena
collection PubMed
description [Image: see text] Large-scale metabolic profiling requires the development of novel economical high-throughput analytical methods to facilitate characterization of systemic metabolic variation in population phenotypes. We report a fit-for-purpose direct infusion nanoelectrospray high-resolution mass spectrometry (DI-nESI-HRMS) method with time-of-flight detection for rapid targeted parallel analysis of over 40 urinary metabolites. The newly developed 2 min infusion method requires <10 μL of urine sample and generates high-resolution MS profiles in both positive and negative polarities, enabling further data mining and relative quantification of hundreds of metabolites. Here we present optimization of the DI-nESI-HRMS method in a detailed step-by-step guide and provide a workflow with rigorous quality assessment for large-scale studies. We demonstrate for the first time the application of the method for urinary metabolic profiling in human epidemiological investigations. Implementation of the presented DI-nESI-HRMS method enabled cost-efficient analysis of >10 000 24 h urine samples from the INTERMAP study in 12 weeks and >2200 spot urine samples from the ARIC study in <3 weeks with the required sensitivity and accuracy. We illustrate the application of the technique by characterizing the differences in metabolic phenotypes of the USA and Japanese population from the INTERMAP study.
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spelling pubmed-53876732017-04-12 Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology Chekmeneva, Elena dos Santos Correia, Gonçalo Chan, Queenie Wijeyesekera, Anisha Tin, Adrienne Young, Jeffery Hunter Elliott, Paul Nicholson, Jeremy K. Holmes, Elaine J Proteome Res [Image: see text] Large-scale metabolic profiling requires the development of novel economical high-throughput analytical methods to facilitate characterization of systemic metabolic variation in population phenotypes. We report a fit-for-purpose direct infusion nanoelectrospray high-resolution mass spectrometry (DI-nESI-HRMS) method with time-of-flight detection for rapid targeted parallel analysis of over 40 urinary metabolites. The newly developed 2 min infusion method requires <10 μL of urine sample and generates high-resolution MS profiles in both positive and negative polarities, enabling further data mining and relative quantification of hundreds of metabolites. Here we present optimization of the DI-nESI-HRMS method in a detailed step-by-step guide and provide a workflow with rigorous quality assessment for large-scale studies. We demonstrate for the first time the application of the method for urinary metabolic profiling in human epidemiological investigations. Implementation of the presented DI-nESI-HRMS method enabled cost-efficient analysis of >10 000 24 h urine samples from the INTERMAP study in 12 weeks and >2200 spot urine samples from the ARIC study in <3 weeks with the required sensitivity and accuracy. We illustrate the application of the technique by characterizing the differences in metabolic phenotypes of the USA and Japanese population from the INTERMAP study. American Chemical Society 2017-02-28 2017-04-07 /pmc/articles/PMC5387673/ /pubmed/28245357 http://dx.doi.org/10.1021/acs.jproteome.6b01003 Text en Copyright © 2017 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Chekmeneva, Elena
dos Santos Correia, Gonçalo
Chan, Queenie
Wijeyesekera, Anisha
Tin, Adrienne
Young, Jeffery Hunter
Elliott, Paul
Nicholson, Jeremy K.
Holmes, Elaine
Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology
title Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology
title_full Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology
title_fullStr Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology
title_full_unstemmed Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology
title_short Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology
title_sort optimization and application of direct infusion nanoelectrospray hrms method for large-scale urinary metabolic phenotyping in molecular epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387673/
https://www.ncbi.nlm.nih.gov/pubmed/28245357
http://dx.doi.org/10.1021/acs.jproteome.6b01003
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