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Predictive value of leukocyte telomere length for the severity of coronary artery disease

Ying Sun1,2, Jing-Qian Zhao2, Yue-Ru Jiao2

  • 1Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong Province, 250021, China.

Personalized Medicine
|January 28, 2020
PubMed

Insights

Leukocyte telomere length (LTL) may predict coronary artery disease (CAD) severity. Shorter LTL is linked to higher Gensini scores, suggesting LTL

Area of Science:

  • Cardiovascular Medicine
  • Genetics
  • Biomarkers

Background:

  • Coronary artery disease (CAD) poses a significant global health burden.
  • Assessing CAD severity is crucial for effective patient management.
  • Leukocyte telomere length (LTL) is a potential biomarker linked to aging and disease.

Purpose of the Study:

  • To investigate the association between LTL and the severity of CAD.
  • To determine if LTL can serve as a predictive marker for CAD severity.

Main Methods:

  • A cohort of 359 patients with diagnosed CAD was recruited.
  • Coronary angiography was performed to assess the extent of arterial narrowing.
  • Gensini score (GS) was utilized to quantify the severity of coronary artery disease.

Main Results:

  • A significant negative correlation was observed between LTL and GS (r = -0.335, p < 0.001).
  • LTL independently predicted a high Gensini score (p = 0.001).
  • The area under the curve for LTL in predicting high GS was 0.659 (p < 0.001).

Conclusions:

  • Leukocyte telomere length shows potential as a predictor for CAD severity.
  • Shorter LTL may indicate more severe coronary artery disease.
  • Further research is warranted to validate LTL as a clinical biomarker for CAD.

Keywords:
Gensini scorebiomarkercoronary artery diseaseleukocyte telomere length

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