Obesity shows preserved plasma proteome in large independent clinical cohorts.
- Cominetti O Proteomics, Nestlé Institute of Health Sciences, Lausanne, Switzerland.
- Núñez Galindo A Proteomics, Nestlé Institute of Health Sciences, Lausanne, Switzerland.
- Corthésy J Proteomics, Nestlé Institute of Health Sciences, Lausanne, Switzerland.
- Valsesia A Nutrition and Metabolic Health, Nestlé Institute of Health Sciences, Lausanne, Switzerland.
- Irincheeva I Nutrition and Metabolic Health, Nestlé Institute of Health Sciences, Lausanne, Switzerland.
- Kussmann M Proteomics, Nestlé Institute of Health Sciences, Lausanne, Switzerland.
- Saris WHM NUTRIM, School for Nutrition, Toxicology and Metabolism, Department of Human Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
- Astrup A Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
- McPherson R Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Canada.
- Harper ME Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
- Dent R Ottawa Hospital Weight Management Clinic, The Ottawa Hospital, Ottawa, Canada.
- Hager J Nutrition and Metabolic Health, Nestlé Institute of Health Sciences, Lausanne, Switzerland.
- Dayon L Proteomics, Nestlé Institute of Health Sciences, Lausanne, Switzerland. loic.dayon@rd.nestle.com.
- 2018-11-20
Published in:
- Scientific reports. - 2018
Adult
Blood Proteins
Chromatography, Liquid
Cohort Studies
Female
Humans
Male
Middle Aged
Obesity
Overweight
Proteome
Proteomics
Reproducibility of Results
Tandem Mass Spectrometry
English
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.
- Language
-
- English
- Open access status
- gold
- Identifiers
-
- DOI 10.1038/s41598-018-35321-7
- PMID 30451909
- Persistent URL
- https://sonar.ch/global/documents/42111
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