Valerie K Sullivan, Jingsha Chen, Lauren Bernard, Bing Yu, Erin D Michos, Lawrence J Appel, Alice H Lichtenstein, Casey M Rebholz
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引用次数: 0
Abstract
Purpose: Proteins are key effectors of biological functions and play roles in signaling, transport, growth, repair, and immunity. Vitamin D biomarkers may be reflected in the plasma proteome. The aim of this discovery study was to identify novel proteins associated with vitamin D supplementation.
Experimental design: We examined cross-sectional associations between vitamin D supplementation and plasma proteins in the Atherosclerosis Risk in Communities (ARIC) study at visit 5 (2011-2013). An untargeted proteomic platform (SomaScan version 4, SomaLogic) was used to quantify relative abundance for 4955 proteins. We compared protein levels in vitamin D supplement users and nonusers using covariate-adjusted multivariable linear regression models.
Results: Of 5011 participants analyzed (mean age 76 [SD 5] years), 2255 (45%) used vitamin D supplements. Fifty-one proteins were associated with vitamin D supplementation at a false discovery rate-adjusted p < 0.05. Most proteins (33 of 51) were lower in users than nonusers. After adjusting for other supplement use (multivitamin/mineral, omega-3, B vitamins, and vitamin C), 7 proteins remained significantly associated with vitamin D supplementation.
Conclusions and clinical relevance: Chondroadherin, parathyroid hormone, transcobalamin-1, osteomodulin, collagen type II, and bone sialoprotein 2 were lower, while sclerostin was higher, in vitamin D users than nonusers. These proteins are potential markers of vitamin D in older adults and highlight vitamin D-related metabolic pathways.
期刊介绍:
PROTEOMICS - Clinical Applications has developed into a key source of information in the field of applying proteomics to the study of human disease and translation to the clinic. With 12 issues per year, the journal will publish papers in all relevant areas including:
-basic proteomic research designed to further understand the molecular mechanisms underlying dysfunction in human disease
-the results of proteomic studies dedicated to the discovery and validation of diagnostic and prognostic disease biomarkers
-the use of proteomics for the discovery of novel drug targets
-the application of proteomics in the drug development pipeline
-the use of proteomics as a component of clinical trials.