Meta-analysis of Telomere Length in Alzheimer's Disease

Diego A. Forero, Yeimy González-Giraldo, Catalina López-Quintero, Luis J. Castro-Vega, George E. Barreto, George Perry

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Alzheimer's disease (AD) is a common and severe neurodegenerative disorder. Human telomeres are fundamental for the maintenance of genomic stability and play prominent roles in both cellular senescence and organismal aging. Regulation of telomere length (TL) is the result of the complex interplay between environmental and genetic factors. Alterations in TL are increasingly being studied as a possible risk factor for AD, and published studies on TL in AD show discrepant results, highlighting the need for a meta-analysis. Methods: In the current study, we carried out a meta-analysis of published studies of TL in AD patients and healthy controls. PubMed, Web of Science and Google Scholar databases (from inception to September 2015) were used to identify relevant articles reporting TL in humans with AD, from which we retrieved data such as sample size, experimental methods, and mean TL for cases and controls. A random-effects model was used for meta-analytical procedures. Results: The meta-analysis included 13 primary studies and demonstrated a significant difference in TL between 860 AD patients and 2,022 controls, with a standardized mean difference of -0.984 (confidence interval: -1.433 to -0.535; p value: <.001). Conclusions: Our results show a consistent evidence of shorter telomeres in AD patients and highlight the importance of the analysis of epigenomic markers associated with neurodegeneration and with the risk for common and severe neurological diseases, such as AD.

Original languageEnglish
Pages (from-to)1069-1073
Number of pages5
JournalJournals of Gerontology - Series A Biological Sciences and Medical Sciences
Volume71
Issue number8
DOIs
Publication statusPublished - 1 Aug 2016
Externally publishedYes

Keywords

  • Alzheimer's disease
  • Dementia
  • Epigenomics
  • Meta-analysis
  • Telomeres

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