4.7 Article

Telomere Length as a Marker of Cellular Aging Is Associated With Prevalence and Progression of Metabolic Syndrome

期刊

JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
卷 99, 期 12, 页码 4607-4615

出版社

ENDOCRINE SOC
DOI: 10.1210/jc.2014-1851

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资金

  1. Geestkracht program of The Netherlands Organisation for Health Research and Development (ZonMW) [10-000-1002]
  2. VU University Medical Center
  3. GGZ inGeest
  4. Arkin
  5. Leiden University Medical Center
  6. GGZ Rivierduinen
  7. University Medical Center Groningen
  8. Lentis
  9. GGZ Friesland
  10. GGZ Drenthe
  11. IQ Healthcare
  12. Netherlands Institute for Health Services Research
  13. Netherlands Institute of Mental Health and Addiction [Trimbos]
  14. NWO-VICI [91811602]

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Context: Metabolic syndrome (MetS) clusters risk factors for age-related conditions including cardiovascular disease and diabetes. Shorter telomere length (TL), a cellular marker for biological age, may predict an individual's deteriorating metabolic condition. Objective: We examined whether shorter baseline TL is associated with a worse metabolic profile and with less favorable trajectories of MetS components over a 6-year follow-up. Design and Setting: Participants were part of The Netherlands Study of Depression and Anxiety, an ongoing prospective cohort study with 6-year follow-up. Participants: This study included 2848 participants age 18-65 years. Main Outcome Measures: Baseline TL from leukocytes was determined using qPCR and MetS components (waist circumference, triglycerides, high-density lipoprotein [HDL] cholesterol, systolic blood pressure, and fasting glucose) were determined at baseline, and after 2 and 6 years. Cross-sectional and longitudinal analyses were adjusted for relevant sociodemographic, lifestyle, and health factors. Results: Shorter baseline TL was cross-sectionally associated with HDL (beta = -0.016, SE = 0.008, P = .05), waist circumference (beta = 0.647, SE = 0.238, P = .007), triglycerides (beta = 0.038, SE = 0.009, P = .001), and fasting glucose (beta = 0.011, SE = 0.003, P = .001), as well as with the total number of MetS components (beta = 0.075, SE = 0.023, P = .001) and the presence of MetS (OR = 1.19; 95% CI, 1.07-1.33; P = .002). Although baseline differences progressively reduced over time, shorter baseline TL was still significantly associated with unfavorable scores of most MetS components at the 2- or 6-year follow-up. Conclusions: Cellular aging, as assessed by TL, is associated with a higher metabolic risk profile, which remains unfavorable even after a period of 6 years. These findings suggest that cellular aging might play a role in the onset of various aging-related somatic diseases via its effect on metabolic alterations.

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