Sexual dimorphism, age, and fat mass are key phenotypic drivers of proteomic signatures
Files in This Item:
|Curran_et_al_2017.pdf||2.09 MB||Adobe PDF||Download Request a copy|
|Title:||Sexual dimorphism, age, and fat mass are key phenotypic drivers of proteomic signatures||Authors:||Curran, Aoife M.
Fogarty Draper, Colleen
Roche, Helen M.
Ryan, Miriam F.
Gibney, Michael J.
|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
|Type of material:||Journal Article||Publisher:||American Chemical Society||Copyright (published version):||2017 ACS||Keywords:||Proteomics; Phenotype; Biomarker; Sex; Male; Female; Age; Fat mass; Protein; Pathway||DOI:||10.1021/acs.jproteome.7b00501||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Conway Institute Research Collection|
Public Health, Physiotherapy and Sports Science Research Collection
Agriculture and Food Science Research Collection
Show full item record
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.