Sexual dimorphism, age, and fat mass are key phenotypic drivers of proteomic signatures
Files in This Item:
File | Size | Format | |
---|---|---|---|
Download | Curran_et_al_2017.pdf | 2.09 MB | Adobe PDF |
Title: | Sexual dimorphism, age, and fat mass are key phenotypic drivers of proteomic signatures | Authors: | Curran, Aoife M.; Fogarty Draper, Colleen; Scott-Boyer, Marie-Pier; Roche, Helen M.; Ryan, Miriam F.; Gibney, Michael J.; Brennan, Lorraine; et 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: | Proteomics; Phenotype; Biomarker; Sex; Male; Female; Age; Fat mass; Protein; Pathway | 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 |
Show full item record
SCOPUSTM
Citations
50
7
Last Week
0
0
Last month
0
0
checked on Sep 12, 2020
Page view(s)
1,107
Last Week
5
5
Last month
17
17
checked on May 27, 2022
Download(s) 50
285
checked on May 27, 2022
Google ScholarTM
Check
Altmetric
If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.