Egyptian Journal of Medical Human Genetics (Feb 2024)

cxsAssociation study between single nucleotide polymorphism in thrombospondins THBS1 gene and THBS2 gene and coronary artery disease in Indian population

  • Ale Eba,
  • Syed Tasleem Raza,
  • Irshad A. Wani,
  • Zeba Siddiqi,
  • Mohammad Abbas,
  • Sanchita Srivastava,
  • Farzana Mahdi

DOI
https://doi.org/10.1186/s43042-024-00498-2
Journal volume & issue
Vol. 25, no. 1
pp. 1 – 8

Abstract

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Abstract Background Coronary artery disease (CAD) is a complex medical condition characterized by atherosclerotic plaque accumulation in coronary arteries, leading to narrowed blood vessels and impaired blood flow. Endothelial dysfunction, smooth muscle cell proliferation, and various risk factors contribute to CAD development. Matricellular proteins, including thrombospondins (THBS), play crucial roles in vascular processes and cardiac function. Methods A case–control study was conducted among 296 participants from Era's Lucknow Medical College and Hospital, India, to investigate genetic variations in THBS1 (N700S) and THBS2 (3′ UTR T → G) in relation to CAD. Genomic DNA was isolated, and PCR–RFLP was employed for genotyping. Clinical and biochemical parameters were assessed, and statistical analyses were performed using SPSS software. Results The study revealed that age, serum cholesterol, HDL, VLDL, and LDL were significantly associated with CAD in the Indian population. However, no statistically significant associations were found between triglyceride and serum creatinine levels, as well as the studied THBS1 and THBS2 genetic polymorphisms, and CAD. The analysis of genotypic and allelic frequencies did not indicate significant associations with CAD risk. Conclusions This study suggests that specific genetic variations in THBS1 and THBS2 may not be strongly linked to the development or risk of CAD in the studied Indian population. The associations observed between age, lipid profiles, and CAD highlight the multifactorial nature of CAD susceptibility. Further research with larger sample sizes and diverse populations is warranted to validate these findings and explore additional genetic factors contributing to CAD in specific populations.

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