%0 Journal Article
%T Age©\associated microRNA expression in human peripheral blood is associated with all©\cause mortality and age©\related traits
%A Anindya Bhattacharya
%A Brian H. Chen
%A Chunyu Liu
%A George Chen
%A Jane E. Freedman
%A Jian Rong
%A Joanne M. Murabito
%A Kahraman Tanriverdi
%A Martin G. Larson
%A Sudha Seshadri
%A Tianxiao Huan
%J Archive of "Aging Cell".
%D 2018
%R 10.1111/acel.12687
%X Recent studies provide evidence of correlations of DNA methylation and expression of protein©\coding genes with human aging. The relations of microRNA expression with age and age©\related clinical outcomes have not been characterized thoroughly. We explored associations of age with whole©\blood microRNA expression in 5221 adults and identified 127 microRNAs that were differentially expressed by age at P < 3.3 ¡Á 10£¿4 (Bonferroni©\corrected). Most microRNAs were underexpressed in older individuals. Integrative analysis of microRNA and mRNA expression revealed changes in age©\associated mRNA expression possibly driven by age©\associated microRNAs in pathways that involve RNA processing, translation, and immune function. We fitted a linear model to predict ¡®microRNA age¡¯ that incorporated expression levels of 80 microRNAs. MicroRNA age correlated modestly with predicted age from DNA methylation (r = 0.3) and mRNA expression (r = 0.2), suggesting that microRNA age may complement mRNA and epigenetic age prediction models. We used the difference between microRNA age and chronological age as a biomarker of accelerated aging (¦¤age) and found that ¦¤age was associated with all©\cause mortality (hazards ratio 1.1 per year difference, P = 4.2 ¡Á 10£¿5 adjusted for sex and chronological age). Additionally, ¦¤age was associated with coronary heart disease, hypertension, blood pressure, and glucose levels. In conclusion, we constructed a microRNA age prediction model based on whole©\blood microRNA expression profiling. Age©\associated microRNAs and their targets have potential utility to detect accelerated aging and to predict risks for age©\related diseases
%K aging
%K cardiometabolic traits
%K methylation
%K microRNA
%K mortality
%K mRNA
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5770777/