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. 2022 Nov 24:13:1045725.
doi: 10.3389/fgene.2022.1045725. eCollection 2022.

The relationship between 896A/G (rs4986790) polymorphism of TLR4 and infectious diseases: A meta-analysis

Affiliations

The relationship between 896A/G (rs4986790) polymorphism of TLR4 and infectious diseases: A meta-analysis

Marcos Jessé Abrahão Silva et al. Front Genet. .

Abstract

Toll-like Receptors (TLRs), such as the TLR4, are genes encoding transmembrane receptors of the same name, which induce a pro- or anti-inflammatory response according to their expression as the host's first line of defense against pathogens, such as infectious ones. Single nucleotide polymorphisms (SNPs) are the most common type of mutation in the human genome and can generate functional modification in genes. The aim of this article is to review in which infectious diseases there is an association of susceptibility or protection by the TLR4 SNP rs4986790. A systematic review and meta-analysis of the literature was conducted in the Science Direct, PUBMED, MEDLINE, and SciELO databases between 2011 and 2021 based on the dominant genotypic model of this SNP for general and subgroup analysis of infectious agent type in random effect. Summary odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated for genotypic comparison. I2 statistics were calculated to assess the presence of heterogeneity between studies and funnel plots were inspected for indication of publication bias. A total of 27 articles were included, all in English. Among the results achieved, the categories of diseases that were most associated with the SNP studied were in decreasing order of number of articles: infections by bacteria (29.63%); caused by viruses (22.23%); urinary tract infection-UTI (7.4%), while 11 studies (40.74%) demonstrated a nonsignificant association. In this meta-analysis, a total of 5599 cases and 5871 controls were finalized. The present meta-analysis suggests that there is no significant association between TLR4-rs4986790 SNP and infections (OR = 1,11; 95% CI: 0,75-1,66; p = 0,59), but in the virus subgroup it was associated with a higher risk (OR = 2,16; 95% CI: 1,09-4,30; p = 0,03). The subgroups of bacteria and parasites did not show statistical significance (OR = 0,86; 95% CI: 0,56-1,30; p = 0,47, and no estimate of effects, respectively). Therefore, it has been shown that a diversity of infectious diseases is related to this polymorphism, either by susceptibility or even severity to them, and the receptor generated is also crucial for the generation of cell signaling pathways and immune response against pathogens.

Keywords: association studies; immunogenetics; infectious diseases; single nucleotide polymorphism; toll-like receptor 4 (TLR4).

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Location of the SNP rs4986790 on the TLR4 gene. (A) Normal structure of the TLR4 gene and protein. (B) SNP rs4986790 in the altered gene TLR4 and protein structure.
FIGURE 2
FIGURE 2
Flowchart representative of the stages of selection, eligibility, and inclusion of studies for analysis.
FIGURE 3
FIGURE 3
Forest plot of the association between the SNP rs4986790 of the TLR4 gene and susceptibility to infectious diseases in a dominant genotypic model.
FIGURE 4
FIGURE 4
Begg’s funnel plot for the meta-analysis of the rs4986790 SNP of the TLR4 gene.
FIGURE 5
FIGURE 5
Schematic Model of TLR4 Signaling Transduction Pathways in Pathogen Recognition. Black circles from the top section of the figure indicate the PAMPs that are recognized by TLR4 for each type of infectious agent.
FIGURE 6
FIGURE 6
Schematic Model of TLR4 Signaling Transduction Pathways in Pathogen Recognition in the SNP rs4986790 presence. Black circles from the top section of the figure indicate the PAMPs that are recognized by TLR4 for each type of infectious agent. The red circle highlights the increase in receptor dysfunction in its immune functions in the absence of MD-2. The red lightning symbols indicate the structural components of the TLR4 signaling pathway in which the mutation was associated with increased infection sensitivity identified in humans.

References

    1. Aboudounya M. M., Heads R. J. (2021). COVID-19 and toll-like receptor 4 (TLR4): SARS-CoV-2 may bind and activate TLR4 to increase ACE2 expression, facilitating entry and causing hyperinflammation. Mediat. Inflamm. 2021, 8874339. 10.1155/2021/8874339 - DOI - PMC - PubMed
    1. Acorci-Valério M. J., Bordon-Graciani A. P., Dias-Melicio L. A., De Assis Golim M., Nakaira-Takahagi E., De Campos Soares Â. M. V. (2010). Role of TLR2 and TLR4 in human neutrophil functions against Paracoccidioides brasiliensis. Scand. J. Immunol. 71, 99–108. 10.1111/j.1365-3083.2009.02351.x - DOI - PubMed
    1. Agnese D. M., Calvano J. E., Hahm S. J., Coyle S. M., Corbett S. A., Calvano S. E., et al. (2002). Human toll-like receptor 4 mutations but not CD14 polymorphisms are associated with an increased risk of gram-negative infections. J. Infect. Dis. 186, 1522–1525. 10.1086/344893 - DOI - PubMed
    1. Aguayo-Albasini J. L., Flores-Pastor B., Soria-Aledo V. (2014). GRADE system: Classification of quality of evidence and strength of recommendation. Cir. Esp. 92, 82–88. 10.1016/j.ciresp.2013.08.002 - DOI - PubMed
    1. Aguirre-García M. M., Rojas-Bernabé A., Gómez-García A. P., Escalona-Montaño A. R. (2019). TLR-mediated host immune response to parasitic infectious diseases. IntechOpen. 10.5772/intechopen.84679 - DOI

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