Literature DB >> 28380383

Using DNA Methylation Profiling to Evaluate Biological Age and Longevity Interventions.

Daniel A Petkovich1, Dmitriy I Podolskiy1, Alexei V Lobanov1, Sang-Goo Lee1, Richard A Miller2, Vadim N Gladyshev3.   

Abstract

The DNA methylation levels of certain CpG sites are thought to reflect the pace of human aging. Here, we developed a robust predictor of mouse biological age based on 90 CpG sites derived from partial blood DNA methylation profiles. The resulting clock correctly determines the age of mouse cohorts, detects the longevity effects of calorie restriction and gene knockouts, and reports rejuvenation of fibroblast-derived iPSCs. The data show that mammalian DNA methylomes are characterized by CpG sites that may represent the organism's biological age. They are scattered across the genome, they are distinct in human and mouse, and their methylation gradually changes with age. The clock derived from these sites represents a biomarker of aging and can be used to determine the biological age of organisms and evaluate interventions that alter the rate of aging.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28380383      PMCID: PMC5578459          DOI: 10.1016/j.cmet.2017.03.016

Source DB:  PubMed          Journal:  Cell Metab        ISSN: 1550-4131            Impact factor:   27.287


  37 in total

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9.  DNA methylation analysis of murine hematopoietic side population cells during aging.

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  109 in total

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2.  Revisiting the genomic hypomethylation hypothesis of aging.

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7.  Multifaceted deregulation of gene expression and protein synthesis with age.

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8.  Brain age from the electroencephalogram of sleep.

Authors:  Haoqi Sun; Luis Paixao; Jefferson T Oliva; Balaji Goparaju; Diego Z Carvalho; Kicky G van Leeuwen; Oluwaseun Akeju; Robert J Thomas; Sydney S Cash; Matt T Bianchi; M Brandon Westover
Journal:  Neurobiol Aging       Date:  2018-10-19       Impact factor: 4.673

Review 9.  Analysis of DNA modifications in aging research.

Authors:  Dustin R Masser; Niran Hadad; Hunter Porter; Michael B Stout; Archana Unnikrishnan; David R Stanford; Willard M Freeman
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10.  Multi-generational impacts of arsenic exposure on genome-wide DNA methylation and the implications for arsenic-induced skin lesions.

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Journal:  Environ Int       Date:  2018-07-05       Impact factor: 9.621

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