CD14 −159 C>T Gene Polymorphism with Increased Risk of Tuberculosis: Evidence from a Meta-AnalysisReport as inadecuate

CD14 −159 C>T Gene Polymorphism with Increased Risk of Tuberculosis: Evidence from a Meta-Analysis - Download this document for free, or read online. Document in PDF available to download.

Cluster of differentiation 14 CD14 gene is an important component of the human innate immune system and its role in tuberculosis TB has been sparsely documented. The enhanced plasma CD14 levels in TB patients as compared to healthy controls are associated with CD14 gene promoter C-159T polymorphism. In the past few years, the relationship between CD14 −159 C>T rs2569190 polymorphism and risk of TB has been reported in various ethnic populations; however, those studies have yielded contradictory results. In this study systemic assessment was done for the published studies based on the association between CD14 −159 C>T polymorphism and TB risk retrieved from PubMed Medline and EMBASE search. A total number of 1389 TB cases and 1421 controls were included in this study and meta-analysis was performed to elucidate the association between CD14 −159 C>T polymorphism and its susceptibility towards TB. Pooled odds ratios ORs and 95% confidence intervals 95% CIs were calculated for allele contrast, homozygous comparison, heterozygous comparison, dominant and recessive genetic model. It was found that T allele carrier was significantly associated with increased TB risk T vs. C: p-value = 0.023; OR = 1.305, 95% CI = 1.038 to 1.640. Similarly, homozygous mutant TT genotype also revealed 1.6 fold increased risk of TB TT vs. CC; p-value = 0.040; OR = 1.652, 95% CI = 1.023 to 2.667. Additionally, dominant genetic model demonstrated increased risk of developing TB TT vs. CC+CT: p-value = 0.006; OR = 1.585, 95% CI = 1.142 to 2.201. The study demonstrates that CD14 gene −159 C>T polymorphism contributes increased susceptibility for TB. Moreover, this meta-analysis also suggests for future larger studies with stratified case control population and biological characterization for validation studies.

Author: MY. Areeshi, Raju K. Mandal, Aditya K. Panda, Shekhar C. Bisht, Shafiul Haque



Related documents