BACKGROUND AND OBJECTIVE: Genetic background may influence susceptibility pulmonary tuberculosis. The evidence for an association between the P2X7 receptor A1513C polymorphism and susceptibility to pulmonary tuberculosis remains inconclusive. In order to provide a more precise estimate of this association, a meta-analysis was performed. METHODS: Databases, including PUBMED, OVID, ScienceDirect, SpringerLink, EBSCO and EMBASE were searched for publications that met the inclusion criteria. A fixed effect model was used to estimate pooled OR with 95% CI for the association between susceptibility to pulmonary tuberculosis and the P2X7 receptor A1513C polymorphism. The chi-squared-based Q-test was used to test the heterogeneity hypothesis. Begg's test and Egger's test were used to check publication bias. RESULTS: Six published case-control studies that investigated the association between the P2X7 receptor A1513C polymorphism and susceptibility to pulmonary tuberculosis in 2525 subjects were included in this meta-analysis. The heterogeneity hypothesis test did not reveal any heterogeneity. Begg's test and Egger's test did not detect obvious publication bias among the included studies. This meta-analysis indicated that there was no significant association between the P2X7 receptor A1513C polymorphism and susceptibility to pulmonary tuberculosis (AC vs AA model: OR 1.12, 95% CI: 0.93-1.35; CC vs AA model: OR 1.45, 95% CI: 0.92-2.28; AC + CC vs AA model: OR 1.15, 95% CI: 0.96-1.13; CC vs AC + AA model: OR 1.42, 95% CI: 0.90-2.23). CONCLUSIONS: This meta-analysis of six studies involving 2525 subjects suggested that the P2X7 receptor A1531C polymorphism is not associated with susceptibility to pulmonary tuberculosis.
BACKGROUND AND OBJECTIVE: Genetic background may influence susceptibility pulmonary tuberculosis. The evidence for an association between the P2X7 receptorA1513C polymorphism and susceptibility to pulmonary tuberculosis remains inconclusive. In order to provide a more precise estimate of this association, a meta-analysis was performed. METHODS: Databases, including PUBMED, OVID, ScienceDirect, SpringerLink, EBSCO and EMBASE were searched for publications that met the inclusion criteria. A fixed effect model was used to estimate pooled OR with 95% CI for the association between susceptibility to pulmonary tuberculosis and the P2X7 receptorA1513C polymorphism. The chi-squared-based Q-test was used to test the heterogeneity hypothesis. Begg's test and Egger's test were used to check publication bias. RESULTS: Six published case-control studies that investigated the association between the P2X7 receptorA1513C polymorphism and susceptibility to pulmonary tuberculosis in 2525 subjects were included in this meta-analysis. The heterogeneity hypothesis test did not reveal any heterogeneity. Begg's test and Egger's test did not detect obvious publication bias among the included studies. This meta-analysis indicated that there was no significant association between the P2X7 receptorA1513C polymorphism and susceptibility to pulmonary tuberculosis (AC vs AA model: OR 1.12, 95% CI: 0.93-1.35; CC vs AA model: OR 1.45, 95% CI: 0.92-2.28; AC + CC vs AA model: OR 1.15, 95% CI: 0.96-1.13; CC vs AC + AA model: OR 1.42, 95% CI: 0.90-2.23). CONCLUSIONS: This meta-analysis of six studies involving 2525 subjects suggested that the P2X7 receptorA1531C polymorphism is not associated with susceptibility to pulmonary tuberculosis.
Authors: Alexandra Y Soare; Tracey L Freeman; Alice K Min; Hagerah S Malik; Elizabeth O Osota; Talia H Swartz Journal: Microbiol Mol Biol Rev Date: 2021-01-13 Impact factor: 11.056
Authors: Bonnie N Young; Adrian Rendón; Adrian Rosas-Taraco; Jack Baker; Meghan Healy; Jessica M Gross; Jeffrey Long; Marcos Burgos; Keith L Hunley Journal: PLoS One Date: 2014-04-11 Impact factor: 3.240
Authors: Eduardo P Amaral; Simone C M Ribeiro; Verônica R Lanes; Fabrício M Almeida; Marcelle R M de Andrade; Caio Cesar Barbosa Bomfim; Erika M Salles; Karina R Bortoluci; Robson Coutinho-Silva; Mario H Hirata; José M Alvarez; Elena B Lasunskaia; Maria Regina D'Império-Lima Journal: PLoS Pathog Date: 2014-07-03 Impact factor: 6.823