Dataset Information

Association of polymorphisms in TLR2 and TLR4 with asthma risk: An update meta-analysis.

ABSTRACT: Several epidemiological studies have focused on the association between polymorphisms in toll-like receptors (TLRs) and asthma. However, the results remained inconclusive.We systematically reviewed the database of PubMed, EMBASE, Web of Science, CNKI, and Google scholar for all related articles on TLR polymorphisms and asthma. We used the software STATA 12.0 to conduct the meta-analysis. The heterogeneity and publication bias were examined, respectively.Eighteen studies consisting of 3538 asthma cases and 4090 controls were selected into the meta-analysis. The pooled odds ratios (ORs) show that rs3804099 was associated with asthma in dominant model (OR?=?1.51, 95% CI?=?1.17-1.96, P?=?.002), and rs4986791 was associated with asthma in additive model (OR?=?0.81, 95% CI?=?0.64-1.02, P?=?.07) and dominant model (OR?=?0.76, 95% CI?=?0.60-0.97, P?=?.025).The combined results show that rs3804099 in TLR2 and rs4986791 in TLR4 were significantly associated with asthma risk. Polymorphisms in TLRs play important roles in asthma.

SUBMITTER: Zhao J

PROVIDER: S-EPMC5585505 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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Association of polymorphisms in TLR2 and TLR4 with asthma risk: An update meta-analysis.

Zhao Junling J Shang Huihui H Cao Xiaopei X Huang Yali Y Fang Xiaoyu X Zhang Shengding S Xie Min M Xie Jungang J Liu Xiansheng X

Medicine 20170901 35

<h4>Background</h4>Several epidemiological studies have focused on the association between polymorphisms in toll-like receptors (TLRs) and asthma. However, the results remained inconclusive.<h4>Methods</h4>We systematically reviewed the database of PubMed, EMBASE, Web of Science, CNKI, and Google scholar for all related articles on TLR polymorphisms and asthma. We used the software STATA 12.0 to conduct the meta-analysis. The heterogeneity and publication bias were examined, respectively.<h4>Res ...[more]

PMID: 28858111

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Project description:BackgroundsThe activation of Toll-like receptors (TLRs) may be an important event in the immune evasion of tumor cell. Recently, numerous studies have investigated the associations between TLR2 -196 to -174 del and two SNPs of TLR4 (rs4986790 and rs4986791) and the susceptibility to different types of cancer; however, the results remain conflicting. The aim of this study was to assess the association between TLR2 and TLR4 polymorphisms and cancer risk in a meta-analysis with eligible published studies.Methodology/principle findingsA dataset composed of 14627 cases and 17438 controls from 34 publications were included in a meta-analysis to evaluate the association between overall cancer risk or cancer-specific risk and three SNPs of TLRs (TLR2 -196 to -174 del, TLR4 rs4986790 and rs4986791). The results showed that all of these three polymorphisms were significantly associated with the increased cancer risk (dominant model: OR?=?1.64, 95% CI: 1.04-2.60 for TLR2 -196 to -174 del; OR?=?1.19, 95% CI: 1.01-1.41 for TLR4 rs4986790; and OR?=?1.47, 95% CI: 1.120-1.80 for TLR4 rs4986791; respectively). In stratified analysis, we found the effect of TLR2 -196 to -174 del on cancer risk remained significant in the subgroup of Caucasians and South Asians, but not in East Asians. However, the association between rs4986791 and cancer risk was significant in both South Asians and East Asians, but not in Caucasians. Furthermore, the association between rs4986790 and cancer risk was statistically significant in digestive cancers (dominant model: OR?=?1.76, 95% CI: 1.13-2.73) and female-specific cancers (dominant model: OR?=?1.50, 95% CI: 1.16-1.94). However, no significant association with risk of digestive system cancers was observed for TLR2 -196 to -174 del and TLR4 rs4986791.Conclusions/significanceThis meta-analysis presented additional evidence for the association between TLR2 and TLR4 polymorphisms and cancer risk. Further well-designed investigations with large sample sizes are required to confirm this conclusion.

Project description:BACKGROUND:Asthma is a common complex chronic, inflammatory polygenic disease with heterogeneous manifestations, affecting individuals of all age groups and posing an immense burden on healthcare resources. A number of studies have identified the association between a disintegrin and metalloprotease 33 (ADAM33) polymorphisms and asthma risk, however, the results still remain inconclusive. The objective of the present study was to identify the effect of ADAM33 variants in asthma susceptibility. METHODS:Eligible case-control studies published between January 2000 and June 2018 was searched and retrieved from online electronic databases. The odds ratio (OR) with its 95% confidence interval (CI) was employed to calculate the effect. RESULTS:A total of 63 case-control studies were finally screened out, including 13,280 asthma patients and 13,340 controls. Eleven SNPs of ADAM33 gene were identified. Our results detected a significant association between ADAM33 T2, Q1, F?+?1 and AA genotype of T?+?1 polymorphisms and asthma risk in total population. Subgroup analysis by ethnicities showed that the alleles and genotypes of T2, Q1 and F?+?1 polymorphisms were associated with asthma susceptibility among Asian populations, while V4 polymorphism was associated with asthma among Caucasian populations. Subgroup analysis by ages showed that T2, F?+?1 and ST?+?4 polymorphisms were associated with childhood asthma, while Q1 and V4 polymorphisms were associated with asthma risk in adults. Subgroup analysis by asthma severity showed that only the G allele of ADAM33 T1 polymorphism was associated with the severity of asthma when compared with the controls. In addition, T2, Q1 and F?+?1 polymorphisms of ADAM33 were significantly associated with increased the asthma risk in Chinese asthma patients. CONCLUSIONS:Our results found that T2, Q1 and F?+?1 polymorphisms of ADAM33 gene might contribute to asthma risk. Future well-designed case-control studies with large population and more ethnicities are still needed to estimate the association.

Project description:Published data on the association between MMP-9 polymorphisms (-1562 C?>?T, rs3918242; Gln279Arg, rs17576 Arg668Gln, rs17577) and asthma susceptibility are inconclusive. To derive a more precise estimation of this association, a meta-analysis was performed. A literature search was conducted in PubMed, Web of Science, EMBASE, Wanfang, and China National Knowledge Infrastructure (CNKI) databases to identify eligible studies. The pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were used to calculate the strength of association. Sensitivity analysis was performed to evaluate the influence of individual studies on the overall effect estimates, and funnel plots and Egger's test were inspected for indication of publication bias. Seven studies with 1592 asthma patients and 1987 controls were finally identified. Overall, we found no significant association between -1562 C?>?T, rs3918242 polymorphism, and asthma susceptibility in any of the genetic model comparisons. After categorizing studies into different subgroups on the basis of ethnicity and age, there is still no significant association. For the Gln279Arg, rs17576 polymorphism, there seems to be a significant association in the allelic genetic model in regard to the P value (OR?=?1.11, 95% CI?=?1.00-1.22, I 2?=?0%, P (Z)=0.044); however, the value of lower 95% CI is 1.0. For the Arg668Gln, rs17577 polymorphism, a high significant association was observed in the dominant model comparison (OR?=?1.65, 95% CI?=?1.28-2.11, I 2?=?22.50%, P (Z)=0), recessive model comparison (OR?=?2.40, 95% CI?=?1.23-4.72, I 2?=?0%, P (Z)=0.011), homozygote genotype comparison (OR?=?2.69, 95% CI?=?1.36-5.33, I 2?=?0%, P (Z)=0.004), and allelic genetic model (OR?=?1.59, 95% CI?=?1.29-1.97, I 2?=?36.9%, P (Z)=0). Sensitivity analysis demonstrated the stability of our results, and publication bias was not evident. The present meta-analysis suggests that MMP-9 Arg668Gln, rs17577 polymorphism may be the risk factor for asthma susceptibility.

Dataset Information

Association of polymorphisms in TLR2 and TLR4 with asthma risk: An update meta-analysis.

Publications

Association of polymorphisms in TLR2 and TLR4 with asthma risk: An update meta-analysis.

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