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Cytokine ; 157: 155955, 2022 09.
Article in English | MEDLINE | ID: mdl-35792283

ABSTRACT

Dengue fever is a clinical manifestation of dengue virus (DENV) infection well defined by the intense host immune response with the development of high fever, anorexia, headache and muscle pain. Several immune mediators are involved in the pathophysiology of DENV infection, in which polymorphisms in immune molecule genes contribute with the susceptibility and severity of the infection. Several meta-analyses are available with significant findings in the association between genetic variants in immune-mediator genes and dengue, though the results may be false positive. Hence, to solve this issue, we have performed a systematic revaluation with Bayesian approaches to verify the false positive rate in these results. A systematic search was performed for meta-analytic studies on the aforementioned issue. The calculations of false positive report probability (FPRP) and the Bayesian false-discovery probability (BFDP) at the prior probability of 10-3 and 10-6 have been performed. To verify the methodological quality of the studies included, the evaluation by the Venice criteria was applied. In addition, gene-gene and protein-protein networks were designed. As results, seven meta-analyses on genetic variants in several immune-inflammatory mediator genes and DENV infection comprise the results. Only the polymorphisms in the TNF, MICB, PLCE1, VDR, CD32 and HLA-A genes were considered as noteworthy. There was a heterogeneity profile for the results on Venice criteria indicating variability in the methodological quality. The gene-gene and protein-protein networks showed these immune mediators as relevant players in the disease. We suggest these polymorphisms as potential biomarkers for the pathogenesis and immune response against DENV.


Subject(s)
Dengue , Virus Diseases , Bayes Theorem , Dengue/genetics , Genetic Predisposition to Disease/genetics , Humans , Meta-Analysis as Topic , Polymorphism, Genetic/genetics
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