Obesity shows preserved plasma proteome in large independent clinical cohorts View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Ornella Cominetti, Antonio Núñez Galindo, John Corthésy, Armand Valsesia, Irina Irincheeva, Martin Kussmann, Wim H. M. Saris, Arne Astrup, Ruth McPherson, Mary-Ellen Harper, Robert Dent, Jörg Hager, Loïc Dayon

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. More... »

PAGES

16981

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-35321-7

DOI

http://dx.doi.org/10.1038/s41598-018-35321-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1109934413

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30451909


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-35321-7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-35321-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-35321-7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-35321-7'


 

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