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Association between transforming growth factor-beta 1 T869C polymorphism and ischemic stroke: a meta-analysis
Lingmei Peng1, Peng Li, Jian Chen
1The National Key Clinic Specialty, The Neurosurgery Institute of Guangdong Province, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Department of Neurosurgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
This meta-analysis found no significant association between transforming growth factor-beta1 (TGF-β1) T869C polymorphism and ischemic stroke (IS) risk. Current studies are inconsistent, necessitating larger, well-designed prospective research for definitive conclusions.
Area of Science:
- Genetics
- Neurology
- Epidemiology
Background:
- Transforming growth factor-beta1 (TGF-β1) plays a role in vascular remodeling and inflammation.
- The T869C polymorphism in the TGF-β1 gene has been investigated for its potential link to various diseases, including ischemic stroke (IS).
Purpose of the Study:
- To conduct a meta-analysis of published studies to explore the association between the TGF-β1 T869C polymorphism and the risk of ischemic stroke (IS).
Main Methods:
- Systematic electronic searches were performed across multiple databases (PubMed, Science Direct, BIOSIS Previews, etc.).
- Pooled odds ratios (ORs) with 95% confidence intervals (95%CIs) were calculated to assess the strength of association.
- Subgroup, sensitivity, and publication bias analyses were conducted to explore heterogeneity and ensure outcome stability.
Main Results:
- Six studies involving 1701 cases were included in the meta-analysis.
- Overall, no significant association was found between TGF-β1 T869C polymorphism and IS risk across all genetic models.
- While initial subgroup analyses by study design showed some significant associations, these became non-significant after correction for multiple testing.
Conclusions:
- Current epidemiological studies on the TGF-β1 T869C polymorphism and IS susceptibility are inconsistent.
- The small sample sizes and significant heterogeneity across studies limit definitive conclusions.
- Further large-scale, well-designed prospective studies are warranted to clarify the relationship.
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