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Using DNA Methylation Profiling to Evaluate Biological Age and Longevity Interventions.
Petkovich, Daniel A; Podolskiy, Dmitriy I; Lobanov, Alexei V; Lee, Sang-Goo; Miller, Richard A; Gladyshev, Vadim N.
Affiliation
  • Petkovich DA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
  • Podolskiy DI; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
  • Lobanov AV; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
  • Lee SG; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
  • Miller RA; Department of Pathology and Geriatrics Center, University of Michigan, Ann Arbor, MI 48109, USA.
  • Gladyshev VN; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Electronic address: vgladyshev@rics.bwh.harvard.edu.
Cell Metab ; 25(4): 954-960.e6, 2017 Apr 04.
Article in En | MEDLINE | ID: mdl-28380383
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.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: DNA Methylation / Longevity Limits: Animals Language: En Year: 2017 Type: Article

Full text: 1 Database: MEDLINE Main subject: DNA Methylation / Longevity Limits: Animals Language: En Year: 2017 Type: Article