Toll-like receptor 4 polymorphisms in Saudi population with cardiovascular diseases
Abdelhabib Semlali1,2, Mikhlid Al Mutairi3, Ibrahim Oqla Alanazi4
1Groupe de Recherche en Écologie Buccale, Faculté de Médecine Dentaire, Université Laval, Québec, QC, Canada.
Molecular Genetics & Genomic Medicine
|July 23, 2019
Summary
Genetic variants in Toll-like receptor 4 (TLR4) are linked to cardiovascular disease (CVD) risk in the Saudi population. Specific TLR4 polymorphisms (rs2770150 and rs10759931) were associated with increased CVD risk in certain age groups, genders, and subgroups.
Area of Science:
- Immunology
- Genetics
- Cardiology
Background:
- Toll-like receptors (TLRs) are crucial in innate immunity.
- The impact of TLR4 genetic variations on cardiovascular diseases (CVD) remains largely uncharacterized.
- Investigating TLR4 polymorphisms offers insights into CVD pathogenesis.
Purpose of the Study:
- To examine the association between TLR4 gene polymorphisms and the risk of developing cardiovascular diseases.
- To analyze these associations within the Saudi population.
- To identify potential genetic biomarkers for CVD risk stratification.
Main Methods:
- A case-control study involving 222 CVD patients and 190 healthy controls.
- Genotyping of three tag single-nucleotide polymorphisms (SNPs) in TLR4: rs2770150, rs10759931, and rs4986790.
- Statistical analysis to determine the correlation between genotypes, alleles, and CVD risk, considering age, gender, hypertension, and smoking status.
Main Results:
- The TT genotype of rs2770150 and the G allele of rs10759931 were more frequent in CVD patients over 60 years old.
- rs2770150 increased CVD risk by 3.6-fold in female patients.
- rs10759931 increased CVD risk by 1.5-fold in male patients. rs2770150 was significantly associated with CVD risk in non-hypertensive patients after Bonferroni correction.
Conclusions:
- Genetic variability in TLR4 influences cardiovascular disease risk.
- Specific TLR4 polymorphisms may serve as predictive biomarkers for CVD.
- Understanding these genetic factors can improve early detection and treatment strategies for cardiovascular diseases.
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