Sexual dimorphism, age, and fat mass are key phenotypic drivers of proteomic signatures

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Title: Sexual dimorphism, age, and fat mass are key phenotypic drivers of proteomic signatures
Authors: Curran, Aoife M.Fogarty Draper, ColleenScott-Boyer, Marie-PierRoche, Helen M.Ryan, Miriam F.Gibney, Michael J.Brennan, Lorraineet al.
Permanent link: http://hdl.handle.net/10197/9151
Date: 26-Sep-2017
Abstract: Validated protein biomarkers are needed for assessing health trajectories, predicting and subclassifying disease, and optimizing diagnostic and therapeutic clinical decision-making. The sensitivity, specificity, accuracy, and precision of single or combinations of protein biomarkers may be altered by differences in physiological states limiting the ability to translate research results to clinically useful diagnostic tests. Aptamer based affinity assays were used to test whether low abundant serum proteins differed based on age, sex, and fat mass in a healthy population of 94 males and 102 females from the MECHE cohort. The findings were replicated in 217 healthy male and 377 healthy female participants in the DiOGenes consortium. Of the 1129 proteins in the panel, 141, 51, and 112 proteins (adjusted p < 0.1) were identified in the MECHE cohort and significantly replicated in DiOGenes for sexual dimorphism, age, and fat mass, respectively. Pathway analysis classified a subset of proteins from the 3 phenotypes to the complement and coagulation cascades pathways and to immune and coagulation processes. These results demonstrated that specific proteins were statistically associated with dichotomous (male vs female) and continuous phenotypes (age, fat mass), which may influence the identification and use of biomarkers of clinical utility for health diagnosis and therapeutic strategies.
Funding Details: Department of Agriculture, Food and the Marine
European Commission
Funding Details: Food for Health Ireland
Type of material: Journal Article
Publisher: American Chemical Society
Journal: Journal of Proteome Research
Volume: 16
Issue: 11
Start page: 4122
End page: 4133
Copyright (published version): 2017 ACS
Keywords: ProteomicsPhenotypeBiomarkerSexMaleFemaleAgeFat massProteinPathway
DOI: 10.1021/acs.jproteome.7b00501
Language: en
Status of Item: Peer reviewed
ISBN: ISSN 1535-3893
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Conway Institute Research Collection
Institute of Food and Health Research Collection
Public Health, Physiotherapy and Sports Science Research Collection
Agriculture and Food Science Research Collection

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