Association between SIRT1 gene polymorphisms and susceptibility to coronary artery disease: a systematic review and meta-analysis - Summary - MDSpire

Association between SIRT1 gene polymorphisms and susceptibility to coronary artery disease: a systematic review and meta-analysis

  • By

  • Di An

  • Huan Wu

  • Shujin Wu

  • Yuanpeng Deng

  • Shuangshuang Yang

  • Wansheng Wang

  • Yi Xiang

  • Xingde Liu

  • July 3, 2026

  • 0 min

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Objective:

To evaluate and quantitatively synthesize the available evidence on the association between SIRT1 gene polymorphisms and susceptibility to coronary artery disease (CAD).

Approach:
  • Literature Search: Systematic search of PubMed, Embase, Web of Science, and Cochrane Library from inception to February 12, 2026, to identify relevant observational studies.
  • Data Extraction: Independent literature screening, data extraction, and quality assessment were performed by two reviewers.
  • Meta-Analysis: Meta-analyses were conducted using Stata 16.0, with odds ratios (ORs) and 95% confidence intervals (CIs) as effect measures.
  • Subgroup Analysis: Subgroup and sensitivity analyses were performed where appropriate to explore potential sources of heterogeneity.
Key Findings:
  • Nine studies included with overall methodological quality ranging from moderate to high.
  • Three SIRT1 polymorphisms analyzed: rs7069102, rs7895833, and rs4746720.
  • Rs7069102 showed no significant association with CAD susceptibility overall, but a consistent risk effect in the CAD subgroup.
  • Rs7895833 associated with increased CAD susceptibility under the recessive model (OR = 1.49, 95% CI: 1.03–2.15).
  • Rs4746720 showed significant associations under the dominant (OR = 1.26, 95% CI: 1.02–1.55) and heterozygote models (OR = 1.27, 95% CI: 1.01–1.58).
Interpretation:

Certain SIRT1 polymorphisms may be associated with CAD susceptibility; however, the associations vary by SNP locus, genetic model, and population or disease subgroup.

Limitations:
  • Pooled estimates derived mainly from unadjusted genotype frequencies.
  • Findings could not account for major cardiovascular risk factors.
  • Need for further large, well-designed studies with appropriate adjustment for clinical confounders.
Conclusion:

Current evidence suggests associations between specific SIRT1 polymorphisms and CAD susceptibility, but these findings should be interpreted cautiously, and further large, well-designed studies are needed.

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