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Obesity shows preserved plasma proteome in large independent clinical cohorts

Holistic human proteome maps are expected to complement comprehensive profile assessment of health and disease phenotypes. However, methodologies to analyze proteomes in human tissue or body fluid samples at relevant scale and performance are still limited in clinical research. Their deployment and...

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Autores principales: Cominetti, Ornella, Núñez Galindo, Antonio, Corthésy, John, Valsesia, Armand, Irincheeva, Irina, Kussmann, Martin, Saris, Wim H. M., Astrup, Arne, McPherson, Ruth, Harper, Mary-Ellen, Dent, Robert, Hager, Jörg, Dayon, Loïc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6242904/
https://www.ncbi.nlm.nih.gov/pubmed/30451909
http://dx.doi.org/10.1038/s41598-018-35321-7
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author Cominetti, Ornella
Núñez Galindo, Antonio
Corthésy, John
Valsesia, Armand
Irincheeva, Irina
Kussmann, Martin
Saris, Wim H. M.
Astrup, Arne
McPherson, Ruth
Harper, Mary-Ellen
Dent, Robert
Hager, Jörg
Dayon, Loïc
author_facet Cominetti, Ornella
Núñez Galindo, Antonio
Corthésy, John
Valsesia, Armand
Irincheeva, Irina
Kussmann, Martin
Saris, Wim H. M.
Astrup, Arne
McPherson, Ruth
Harper, Mary-Ellen
Dent, Robert
Hager, Jörg
Dayon, Loïc
author_sort Cominetti, Ornella
collection PubMed
description Holistic human proteome maps are expected to complement comprehensive profile assessment of health and disease phenotypes. However, methodologies to analyze proteomes in human tissue or body fluid samples at relevant scale and performance are still limited in clinical research. Their deployment and demonstration in large enough human populations are even sparser. In the present study, we have characterized and compared the plasma proteomes of two large independent cohorts of obese and overweight individuals using shotgun mass spectrometry (MS)-based proteomics. Herein, we showed, in both populations from different continents of about 500 individuals each, the concordance of plasma protein MS measurements in terms of variability, gender-specificity, and age-relationship. Additionally, we replicated several known and new associations between proteins, clinical and molecular variables, such as insulin and glucose concentrations. In conclusion, our MS-based analyses of plasma samples from independent human cohorts proved the practical feasibility and efficiency of a large and unified discovery/replication approach in proteomics, which was also recently coined “rectangular” design.
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spelling pubmed-62429042018-11-27 Obesity shows preserved plasma proteome in large independent clinical cohorts Cominetti, Ornella Núñez Galindo, Antonio Corthésy, John Valsesia, Armand Irincheeva, Irina Kussmann, Martin Saris, Wim H. M. Astrup, Arne McPherson, Ruth Harper, Mary-Ellen Dent, Robert Hager, Jörg Dayon, Loïc Sci Rep Article Holistic human proteome maps are expected to complement comprehensive profile assessment of health and disease phenotypes. However, methodologies to analyze proteomes in human tissue or body fluid samples at relevant scale and performance are still limited in clinical research. Their deployment and demonstration in large enough human populations are even sparser. In the present study, we have characterized and compared the plasma proteomes of two large independent cohorts of obese and overweight individuals using shotgun mass spectrometry (MS)-based proteomics. Herein, we showed, in both populations from different continents of about 500 individuals each, the concordance of plasma protein MS measurements in terms of variability, gender-specificity, and age-relationship. Additionally, we replicated several known and new associations between proteins, clinical and molecular variables, such as insulin and glucose concentrations. In conclusion, our MS-based analyses of plasma samples from independent human cohorts proved the practical feasibility and efficiency of a large and unified discovery/replication approach in proteomics, which was also recently coined “rectangular” design. Nature Publishing Group UK 2018-11-19 /pmc/articles/PMC6242904/ /pubmed/30451909 http://dx.doi.org/10.1038/s41598-018-35321-7 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Cominetti, Ornella
Núñez Galindo, Antonio
Corthésy, John
Valsesia, Armand
Irincheeva, Irina
Kussmann, Martin
Saris, Wim H. M.
Astrup, Arne
McPherson, Ruth
Harper, Mary-Ellen
Dent, Robert
Hager, Jörg
Dayon, Loïc
Obesity shows preserved plasma proteome in large independent clinical cohorts
title Obesity shows preserved plasma proteome in large independent clinical cohorts
title_full Obesity shows preserved plasma proteome in large independent clinical cohorts
title_fullStr Obesity shows preserved plasma proteome in large independent clinical cohorts
title_full_unstemmed Obesity shows preserved plasma proteome in large independent clinical cohorts
title_short Obesity shows preserved plasma proteome in large independent clinical cohorts
title_sort obesity shows preserved plasma proteome in large independent clinical cohorts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6242904/
https://www.ncbi.nlm.nih.gov/pubmed/30451909
http://dx.doi.org/10.1038/s41598-018-35321-7
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