SARS-CoV-2 Seroprevalence and Profiles Among Convalescents in Sichuan Province, China.

Objectives: To explore and understand the SARS-CoV-2 seroprevalence of convalescents, the association between antibody levels and demographic factors, and the seroepidemiology of convalescents of COVID-19 till March 2021. Methods: We recruited 517 voluntary COVID-19 convalescents in Sichuan Province and collected 1,707 serum samples till March 2021. Then we reported the seroprevalence and analyzed the associated factors. Results: Recent travel history was associated with IgM levels. Convalescents who had recent travel history were less likely to be IgM antibody negative [OR = 0.232, 95% CI: (0.128, 0.420)]. Asymptomatic cases had, approximately, twice the odds of being IgM antibody negative compared with symptomatic cases [OR = 2.583, 95% CI: (1.554, 4.293)]. Participants without symptoms were less likely to be IgG seronegative than those with symptoms [OR = 0.511, 95% CI: (0.293, 0.891)]. Convalescents aged 40-59 were less likely to be IgG seronegative than those aged below 20 [OR = 0.364, 95% CI: (0.138, 0.959)]. The duration of positive IgM antibodies persisted 365 days while the IgG persisted more than 399 days. Conclusions: Our findings suggested that recent travel history might be associated with the antibody levels of IgM, while age could be associated with the antibody levels of IgG. Infection type could be associated with both antibody levels of IgM and IgG that declined quicker in asymptomatic cases.

Association of A561C and G98T polymorphisms in E-selectin gene with coronary artery disease: a meta-analysis.

OBJECTIVE: E-selectin (SELE) mediates the rolling and adhesion of leukocytes on activated endothelial cells and plays a critial role in the pathogenesis of coronary artery disease (CAD). Associatons between the A561C and G98T polymorphisms of the SELE gene and CAD risk were investigated broadly, but the results were inconsistent. In the present study, we performed a meta-analysis to systematically evaluate the associations between the two polymorphisms and the risk of CAD. METHODS: Comprehensive research was conducted to identify relevant studies. The fixed or random effect model was selected based on the heterogeneity among studies, which was evaluated with Q-test and Ι(2). Meta-regression was used to explore the potential sources of between-study heterogeneity. Peters's linear regression test was used to estimate the publication bias. RESULTS: Overall, 24 articles involving 3694 cases and 3469 controls were included. After excluding articles deviating from Hardy-Weinberg equilibrium in controls and sensitive analysis, our meta-analysis showed a significant association between the A561C ploymprphism and CAD in dominant (OR= 1.84, 95% CI = 1.56-2.16) and codominant (OR= 1.74, 95% CI= 1.49-2.03) models. As for the G98T polymorphism, significantly increased CAD risk was observed in dominant (OR = 1.47, 95% CI= 1.16-1.87) and codominant (OR= 1.48, 95% CI = 1.18-1.86) models, but after subgroup analysis, the association was not significant among Caucasians in dominant (OR= 1.58, 95% CI= 0.73-3.41) and codominant (OR= 1.58, 95% CI= 0.79-3.20) models. CONCLUSIONS: Despite some limitations, our meta-analysis suggested that the SELE gene polymorphisms (A561C, G98T) were significantly associated with increased risk of CAD. However, after subgroup analysis no significant association was found among Caucasians for the G98T polymorphism, which may be due to the small sample size and other confounding factors. Future investigations with multicenter, large-scale, and multi-ethnic groups are needed.

Association of C47T polymorphism in SOD2 gene with coronary artery disease: a case-control study and a meta-analysis.

Oxidative damage promotes atherosclerosis. SOD2 is an important antioxidant enzyme. A case-control study and a meta-analysis were performed to assess the association of C47T polymorphism in SOD2 gene with premature, late-onset and overall coronary artery disease (CAD) risk. A hospital-based case-control study was conducted with 269 premature CAD cases, 278 late-onset CAD cases and 299 healthy controls. Polymerase chain reaction (PCR) and Pyrosequencing were used to detect the polymorphism. Multinomial logistic regression model was performed to estimate odds ratio (OR) with 95% confidence intervals (CIs) and adjust potential confounders. A meta-analysis was performed using eight outcomes including our result. Fixed or random effect pooled measure was selected on the basis of homogeneity test among studies. Heterogeneity among studies was evaluated using I (2). Meta-regression was used to explore potential sources of between-study heterogeneity. Publication bias was estimated using Peters's linear regression test. In our case-control study, compared with the TT as the reference, the mutant genotype of CC + TC was significantly associated with a reduced premature CAD risk both in univariate (OR = 0.60, 95% CI = 0.41-0.87) and multivariate (OR = 0.59, 95% CI = 0.40-0.87) logistic regressions, but not with late-onset CAD risk. After excluding one article that deviated from Hardy-Weinberg equilibrium in controls, this meta-analysis showed a significant association of the C allele with reduced risk of CAD in dominant (FEM: OR = 0.69, 95% CI = 0.61-0.78), recessive (OR = 0.64, 95% CI = 0.50-0.82), and codominant (FEM: OR = 0.73, 95% CI = 0.65-0.80) models. Our study suggested that the mutant genotype of CC + TC was significantly associated with a reduced CAD risk.