Age-associated microRNA expression in human peripheral blood is associated with all-cause mortality and age-related traits
Authors
Huan, TianxiaoChen, George
Liu, Chunyu
Bhattacharya, Anindya
Rong, Jian
Chen, Brian H.
Seshadri, Sudha
Tanriverdi, Kahraman
Freedman, Jane E.
Larson, Martin G.
Murabito, Joanne M.
Levy, Daniel
UMass Chan Affiliations
UMass Metabolic NetworkDepartment of Medicine, Division of Cardiovascular Medicine
Document Type
Journal ArticlePublication Date
2017-10-17Keywords
mRNAaging
cardiometabolic traits
methylation
microRNA
mortality
Biochemistry
Cell Biology
Cellular and Molecular Physiology
Molecular Biology
Metadata
Show full item recordAbstract
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 x 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 (Deltaage) and found that Deltaage was associated with all-cause mortality (hazards ratio 1.1 per year difference, P = 4.2 x 10(-5) adjusted for sex and chronological age). Additionally, Deltaage 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. Wiley and Sons Ltd.Source
Aging Cell. 2017 Oct 17. doi: 10.1111/acel.12687. Link to article on publisher's siteDOI
10.1111/acel.12687Permanent Link to this Item
http://hdl.handle.net/20.500.14038/36637PubMed ID
29044988Related Resources
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© 2017 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.Distribution License
http://creativecommons.org/licenses/by/4.0/ae974a485f413a2113503eed53cd6c53
10.1111/acel.12687
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Except where otherwise noted, this item's license is described as © 2017 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.