Sexual Dimorphism, Age, and Fat Mass Are Key Phenotypic Drivers of Proteomic Signatures

• DOI: 10.1021/acs.jproteome.7b00501
• Publication Date: 2017-09-26T21:57:53Z
• Authors: Aoife M. Curran; Colleen Fogarty D...; Marie-Pier Scott-...; Armand Valsesia; Helen M. Roche; Miriam F. Ryan; Michael J. Gibney; Martina Kutmon; Chris T. Evelo; Susan L. Coort; Arne Astrup; Wim H. Saris; Lorraine Brennan; Jim Kaput
• Keywords: Sexual dimorphism

Validated protein biomarkers are needed for assessing health trajectories, predicting and subclassifying disease, optimizing diagnostic therapeutic clinical decision-making. The sensitivity, specificity, accuracy, precision of single or combinations may be altered by differences in physiological states limiting the ability to translate research results clinically useful tests. Aptamer based affinity assays were used test whether low abundant serum proteins differed on age, sex, fat mass a healthy population 94 males 102 females from MECHE cohort. findings replicated 217 male 377 female participants DiOGenes consortium. Of 1129 panel, 141, 51, 112 (adjusted p < 0.1) identified cohort significantly sexual dimorphism, mass, respectively. Pathway analysis classified subset 3 phenotypes complement coagulation cascades pathways immune processes. These demonstrated that specific statistically associated with dichotomous (male vs female) continuous (age, mass), which influence identification use utility diagnosis strategies.