Leucocyte telomere length and paroxysmal atrial fibrillation: A prospective cohort study and systematic review with meta-analysis

J Clin Lab Anal. 2018 Nov;32(9):e22599. doi: 10.1002/jcla.22599. Epub 2018 Jun 26.

Abstract

Background: Telomere length is a surrogate marker of biological aging. Whether telomere length predicts the risk of atrial fibrillation (AF) independently of biological aging is controversial. We conducted a cohort study to examine the relationship between telomere length and paroxysmal AF (PAF), followed by a systematic review and meta-analysis of the published literature, incorporating our own data.

Methods: DNA was extracted from peripheral blood. Leucocyte telomere length was measured by a real-time polymerase chain reaction-based method, normalized to a single copy gene, and presented as telomere/single gene ratio (t/s).

Results: A total of 100 non-AF patients and 50 PAF patients (mean age: 61.0 ± 9.4 and 64.0 ± 10.7 years, respectively) were included. T/s for subjects without AF tended to be shorter than for those with AF (0.21 [0.06-0.36] vs 0.28 [0.11-0.71], P = .077). T/s was associated with a 1.60-fold increase in the risk of AF but this was not significant (95% CI: 0.988-2.597, P = .056). Our meta-analysis confirms no difference in telomere length between AF and non-AF patients and t/s was not associated with higher risk of AF in multivariate analysis.

Conclusions: Our prospective data showed that leucocyte telomere length was similar between AF and non-AF patients but was significantly longer in male patients with PAF than those without AF in our subgroup analysis. Our meta-analysis found that t/s did not predict AF. These findings support the notion that chronological aging, but not markers of biological aging, predicts the risk of AF.

Keywords: atrial fibrillation; telomere length; telomere/single gene ratio.

Publication types

  • Meta-Analysis
  • Review
  • Systematic Review

MeSH terms

  • Aged
  • Atrial Fibrillation / genetics*
  • Atrial Fibrillation / pathology*
  • Cohort Studies
  • Female
  • Humans
  • Leukocytes / chemistry
  • Leukocytes / pathology*
  • Male
  • Middle Aged
  • Sex Factors
  • Statistics, Nonparametric
  • Telomere / genetics*