Abstract
Background:
There were many case-control studies performed the association between TLRs gene polymorphisms and the correlation of Helicobactor pylori infection, these results were inconformity. Therefore, a comprehensive meta-analysis was performed to evaluate the TLRs gene polymorphism and susceptibility to H. pylori infection.
Methods:
Eligible studies were searched from PubMed, EMBASE, Web of science, Cochrane library, CNKI, CBM, Wan Fang Database and VIP Database, all the databases were searched from inception to December 2020. OR with the corresponding 95% CI were presented as associations between certain TLR gene polymorphism and the risk of H. pylori infection, all the included data will be analyzed with the software of Review Manager 5.2 and STATA 14.2.
Results:
This study will provide a high-quality evidence to find the TLR gene polymorphisms with H. pylori infection susceptibility.
Conclusion:
This study will explore which TLR genotype increase the risk of H. pylori infection.
Keywords: case-control study, gene polymorphisms, Helicobacter pylori, meta-analysis, toll-like receptor
1. Introduction
Helicobacter pylori (H. pylori) is a major gastric pathogen that infects approximately half of the world's population.[1]H. pylori infection is associated with the development of numerous gastric pathologies such as atrophic gastritis, intestinal metaplasia and gastric cancer.[2,3] The susceptibility of an individual to these clinical outcomes is remain largely unknown, however, the course of infection likely depends on the H. pylori virulence factors, environmental factors, the genetic susceptibility of the host and the reactivity of the host immune system.[4,5]H. pylori infection is followed by DNA damage, the repair processes and increased rate of mutations, which accelerate the development of H. pylori-related gastric cancer.[6–11]
Toll-like receptors (TLRs) are cell transmembrane and pathogen-associated molecular pattern (PAMP) receptors that play an important role in the recognition of H. pylori, the activation of the first line of immunity against H. pylori.[12] So far, 10 members of TLR family have been found in human body, each member has the ability to recognize specific microbial pathogens and the initiation of innate immunity.[13,14] Recent years, many case-control studies performed the association between TLR gene polymorphisms and the susceptibility of H. pylori infection. However, limited statistical power to detect small-effect single nucleotide polymorphisms (SNPs) and the results were in conformity. To further evaluate the relationship between TLR gene polymorphisms and the risk of H. pylori infection, a meta-analysis was conducted in our present study.
2. Objective
The objective of this study was to comprehensively evaluate the TLR gene polymorphisms associated with H. pylori infection susceptibility.
3. Methods
The authors conducted this systematic review and meta-analysis protocol according to the Preferred Reporting Items for Systematic Review and Meta-analysis Protocol Guidelines (PRISMA-P).[15] The protocol was registered on International Platform of Registered Systematic Review and Meta-analysis Protocols (INPLASY202130009).
3.1. Eligibility criteria
3.1.1. Types of studies
Case-control study design in human, peer reviewed publication. provide the available genotype/allele frequency between cases and controls, the P value of Hardy–Weinberg equilibrium (HWE) test in the control group was greater than.05. For duplicate publications, family-based association studies, case reports or case series studies, no available genotype/allele frequency, abstracts, reviews, comments, letters and conference presentations were excluded.
3.1.2. Participants
Participants affected by H. pylori infection and were taken serum samples will be included in the meta-analysis. Healthy population served as controls. No restrictions were placed on age, gender, country.
3.1.3. Outcome
H. pylori infection risk comparisons.
3.2. Information sources
3.2.1. Electronic searches
We searched the following seven databases: PubMed, EMBASE, Web of science, Cochrane library, China National Knowledge Infrastructure (CNKI), China Biology Medicine (CBM), Wan Fang Database for Chinese Technical Periodicals and VIP Database, all the Database were searched from inception to December 2020.
3.2.2. Search strategy
The search strategy will use a combination of MESH terms and free terms. Details of the PubMed search strategy appear in Supplementary Materials 1.
3.3. Data extraction and quality assessment
3.3.1. Data extraction
The extraction work were independently by two investigators (LL and YT), for disagree evaluation, an agreement was reached following consultation and discussion, the data information of all studies included: name of the first author, year of publication, country, ethnicity, sample size/age of the cases and controls, and genotype/allele frequency between cases and controls, HWE were based on genotype frequency of certain TLR gene polymorphisms in control groups, no minimum number of samples defined for inclusion in our meta-analysis. The screening process was shown as Figure 1.
Figure 1.
Screening process.
3.3.2. Quality assessment
The quality of included studies was assessing by the Newcastle–Ottawa scale (NOS).[16] We assessed it from the selection, the comparability, and the exposure in both cases and controls, the NOS score vary from zero to nine, in which (score 0–5) was low quality study and (score 6–9) was high quality study.
3.4. Statistical analysis
All statistical analyses were performed by Review Manager 5.2 version software (The Cochrane Collaboration, Software Update, Oxford, United Kingdom). OR with the corresponding 95% CI were presented as associations between certain TLR genetic polymorphism and the risk of H. pylori infection in the allele, codominant, dominant and recessive models, the significance was determined by Z-test, with a P value < .05 as significant level.
3.5. Heterogeneity assessment
The heterogeneity assumption was checked by Q-test and I2 statistics, when P value of Q test was greater than 0.1 or I2 was less than 50%, fixed effects model was used for meta-analysis, otherwise, random effects model was carried out. If there were high heterogeneity, we will be found the potential sources of heterogeneity by using the methods of sensitivity analysis and subgroup analysis.
3.6. Subgroup analysis
We will conduct a subgroup analysis of the TLR gene polymorphisms most associated with H. pylori infection by ethnicity or country of participants.
3.7. Sensitivity analysis
Sensitivity analysis were performed by deletion of each single study in the meta-analysis to reflect the influence of the individual data-set on the pooled OR.
3.8. Publication bias assessment
The publication bias will be evaluated by using the funnel plots combine with statistical test(Egger and Begg test), and the Egger and Begg test will be performed by STATA software with version 14.2 (Stata Corp, College Station, USA).
4. Discussion
H. pylori infection may be related to the age, gender, race, genetic factors, geographical location and socio-economic status of the host.[17,18] TLR is the main component of innate immune system and its expressed in different cell types recognize H. pylori through different signal pathways to activate the immune system in vivo.[19] In recent years, researchers have paid more attention to the influence of host genetic factors on H. pylori susceptibility.[20,21] Recent years, many case-control studies performed the association between TLR gene polymorphisms and the susceptibility of H. pylori infection, but there is no consensus in the literature. Therefore, it is necessary to conduct a systematic review to assess the TLR gene polymorphisms and the risk of H. pylori infection.
Author contributions
Conceptualization: Weisheng Luo.
Data curation: Liying Lu.
Methodology: Yan Tang.
Project administration: Meiwen Tang.
Resources: Jianxiang Li.
Writing – original draft: Xiaocong Ma.
Supplementary Material
Footnotes
Abbreviations: CBM = China Biology Medicine, CI = Confidence Intervals, CNKI = China National Knowledge Infrastructure, H. pylori = Helicobacter pylori, HWE = Hardy–Weinberg equilibrium, NOS = Newcastle-Ottawa scale, OR = odds ratio, PRISMA-P = Preferred Reporting Items for Systematic Review and Meta-analysis Protocol Guidelines, SNPs = single nucleotide polymorphisms, TLRs = Toll-like receptors.
How to cite this article: Ma X, Lu L, Tang Y, Luo W, Li J, Tang M. Association between Toll-like receptor gene polymorphisms and risk of Helicobacter pylori infection: A protocol for systematic review and meta-analysis. Medicine. 2021;100:18(e25729).
This work is supported by Natural Science Foundation of China (NO. 81760862), Innovation Project of Guangxi Graduate Education (NO. YCBZ2020068).
Registration: This protocol has been registered on International Platform of Registered Systematic Review and Meta-analysis Protocols (INPLASY PROTOCOL). The registration number is INPLASY202130009.
The authors have no conflicts of interest to disclose.
Ethics approval and consent to participate: Not applicable.
Patient consent for publication: Not applicable.
Data sharing not applicable to this article as no datasets were generated or analyzed during the present study.
Supplemental digital content is available for this article.
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