Obesity shows preserved plasma proteome in large independent clinical cohorts

Research output: Contribution to journalJournal articleResearchpeer-review

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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.

In: Scientific Reports, Vol. 8, 16981, 2018.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Cominetti, O, Núñez Galindo, A, Corthésy, J, Valsesia, A, Irincheeva, I, Kussmann, M, Saris, WHM, Astrup, A, McPherson, R, Harper, M-E, Dent, R, Hager, J & Dayon, L 2018, 'Obesity shows preserved plasma proteome in large independent clinical cohorts', Scientific Reports, vol. 8, 16981. https://doi.org/10.1038/s41598-018-35321-7

APA

Cominetti, O., Núñez Galindo, A., Corthésy, J., Valsesia, A., Irincheeva, I., Kussmann, M., Saris, W. H. M., Astrup, A., McPherson, R., Harper, M-E., Dent, R., Hager, J., & Dayon, L. (2018). Obesity shows preserved plasma proteome in large independent clinical cohorts. Scientific Reports, 8, [16981]. https://doi.org/10.1038/s41598-018-35321-7

Vancouver

Cominetti O, Núñez Galindo A, Corthésy J, Valsesia A, Irincheeva I, Kussmann M et al. Obesity shows preserved plasma proteome in large independent clinical cohorts. Scientific Reports. 2018;8. 16981. https://doi.org/10.1038/s41598-018-35321-7

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. / Obesity shows preserved plasma proteome in large independent clinical cohorts. In: Scientific Reports. 2018 ; Vol. 8.

Bibtex

@article{02906199ad3c4de2aa3e2d06f201745c,
title = "Obesity shows preserved plasma proteome in large independent clinical cohorts",
abstract = "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.",
author = "Ornella Cominetti and {N{\'u}{\~n}ez Galindo}, Antonio and John Corth{\'e}sy and Armand Valsesia and Irina Irincheeva and Martin Kussmann and Saris, {Wim H M} and Arne Astrup and Ruth McPherson and Mary-Ellen Harper and Robert Dent and J{\"o}rg Hager and Lo{\"i}c Dayon",
note = "CURIS 2018 NEXS 389",
year = "2018",
doi = "10.1038/s41598-018-35321-7",
language = "English",
volume = "8",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Obesity shows preserved plasma proteome in large independent clinical cohorts

AU - Cominetti, Ornella

AU - Núñez Galindo, Antonio

AU - Corthésy, John

AU - Valsesia, Armand

AU - Irincheeva, Irina

AU - Kussmann, Martin

AU - Saris, Wim H M

AU - Astrup, Arne

AU - McPherson, Ruth

AU - Harper, Mary-Ellen

AU - Dent, Robert

AU - Hager, Jörg

AU - Dayon, Loïc

N1 - CURIS 2018 NEXS 389

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1038/s41598-018-35321-7

DO - 10.1038/s41598-018-35321-7

M3 - Journal article

C2 - 30451909

VL - 8

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 16981

ER -

ID: 209089422