Sexual dimorphism, age and fat mass are key phenotypic drivers of proteomic signatures
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Sexual dimorphism, age and fat mass are key phenotypic drivers of proteomic signatures. / Curran, Aoife M; Fogarty Draper, Colleen; Scott-Boyer, Marie-Pier; Valsesia, Armand; Roche, Helen M; Ryan, Miriam F; Gibney, Michael J; Kutmon, Martina; Evelo, Chris T; Coort, Susan L; Astrup, Arne; Saris, Wim H; Brennan, Lorraine; Kaput, Jim.
In: Journal of Proteome Research, Vol. 16, No. 11, 2017, p. 4122-4133.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Sexual dimorphism, age and fat mass are key phenotypic drivers of proteomic signatures
AU - Curran, Aoife M
AU - Fogarty Draper, Colleen
AU - Scott-Boyer, Marie-Pier
AU - Valsesia, Armand
AU - Roche, Helen M
AU - Ryan, Miriam F
AU - Gibney, Michael J
AU - Kutmon, Martina
AU - Evelo, Chris T
AU - Coort, Susan L
AU - Astrup, Arne
AU - Saris, Wim H
AU - Brennan, Lorraine
AU - Kaput, Jim
N1 - CURIS 2017 NEXS 271
PY - 2017
Y1 - 2017
N2 - Validated protein biomarkers are needed for assessing health trajectories, predicting and sub-classifying 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 v 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.
AB - Validated protein biomarkers are needed for assessing health trajectories, predicting and sub-classifying 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 v 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.
KW - Proteomics
KW - Phenotype
KW - Biomarker
KW - Sex
KW - Male
KW - Female
KW - Age
KW - Fat mass
KW - Protein
KW - Pathway
U2 - 10.1021/acs.jproteome.7b00501
DO - 10.1021/acs.jproteome.7b00501
M3 - Journal article
C2 - 28950061
VL - 16
SP - 4122
EP - 4133
JO - Journal of Proteome Research
JF - Journal of Proteome Research
SN - 1535-3893
IS - 11
ER -
ID: 184065674