| Literature DB >> 33901540 |
Adriana Alves Oliveira Paim1, Ágata Lopes-Ribeiro2, Daniele S O Daian E Silva1, Luis Adan F Andrade3, Thais F S Moraes3, Edel F Barbosa-Stancioli1, Flávio Guimarães da Fonseca4, Jordana G Coelho-Dos-Reis5.
Abstract
An alarming disease caused by the new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) named COVID-19 has emerged as an unprecedented public health problem and ignited a world health crisis. As opposed to what was believed at the beginning of the pandemic, the virus has not only spread but persevere causing secondary waves and challenging the concept of herd immunity against viral infections. While the majority of SARS-CoV-2-infected individuals may remain asymptomatic, a fraction of individuals may develop low to high-grade severity signs and symptoms of COVID-19. The disease is multifactorial and can progress quickly, leading to severe complications and even death in a few days. Therefore, understanding the pre-existing factors for disease development has never been so pressing. In this scenario, the insights on the mechanisms underlying disease allied to the immune response developed during the viral invasion could shed light on novel predictive factors and prognostic tools for COVID-19 management and interventions. A recent genome-wide association study (GWAS) revealed several molecules that significantly impacted critically ill COVID-19 patients, leading to the core mechanisms of COVID-19 pathogenesis. Considering these findings and the fact that ACE-2 polymorphisms alone cannot explain disease progress and severity, this review aims at summarizing the most important and recent findings of the research and expert consensus of possible cytokine-related polymorphisms existing in the differential expression of paramount immune molecules that could be crucial for providing guidelines for decision-making and appropriate clinical management of COVID-19.Entities:
Keywords: Cytokine storm; Polymorphism; SARS; SARS-CoV-2
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Year: 2021 PMID: 33901540 PMCID: PMC8064809 DOI: 10.1016/j.imlet.2021.04.005
Source DB: PubMed Journal: Immunol Lett ISSN: 0165-2478 Impact factor: 4.230
Fig. 1The genetic polymorphisms in the cytokine encoding genes described and related to the cytokine storm are highlighted in red in the figure. In parentheses are the numbers for each Single Nucleotide polymorphism (SNP) for each polymorphic site. In blue are cytokines whose polymorphisms could explain the development of the cytokine storm in response to SARS-CoV-2. The positive sign (+) indicates the possible interference of the described cytokine polymorphism and the question mark (?) Indicates candidate polymorphism to be associated with the development of the cytokine storm.
Fig. 2Frequencies of polymorphisms in minor allelic genes encoding the cytokines according to the areas in the map with colored circles identifying: IFN-γ (rs2430561 – T/A single-nucleotide variation in the IFNG gene on chromosome 12) in dark blue, IFNβ (rs2071430 – G/T single-nucleotide variation in the MX1 gene on chromosome 21) in orange, TNF-α (rs1800629 - G/A single-nucleotide variation in the TNF gene on chromosome 6) in green, IL-4 (rs2070874 – C/T single-nucleotide variation in the IL4 gene on chromosome 5) in purple, IL1-RN (rs315952 – T/C single-nucleotide variation in the IL1RN gene on chromosome 2) in red and IFNAR2 (rs2236757 – A/G single-nucleotide variation in the IFNAR2 gene on chromosome 21) in yellow. The data presented are deposited in the NCBI [26] according to the SNP of each gene.