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Host genetic susceptibility underlying SARS-CoV-2-associated Multisystem Inflammatory Syndrome in Brazilian Children.
Santos-Rebouças, Cíntia Barros; Piergiorge, Rafael Mina; Dos Santos Ferreira, Cristina; Seixas Zeitel, Raquel de; Gerber, Alexandra Lehmkuhl; Rodrigues, Marta Cristine Felix; Guimarães, Ana Paula de Campos; Silva, Rodrigo Moulin; Fonseca, Adriana Rodrigues; Souza, Rangel Celso; de Souza, Ana Tereza Antunes Monteiro; Rossi, Átila Duque; Porto, Luís Cristóvão de Moraes Sobrino; Cardoso, Cynthia Chester; de Vasconcelos, Ana Tereza Ribeiro.
  • Santos-Rebouças CB; Departamento de Genética, Instituto de Biologia Roberto Alcantara Gomes, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Piergiorge RM; Departamento de Genética, Instituto de Biologia Roberto Alcantara Gomes, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Dos Santos Ferreira C; Laboratório de Bioinformática - LABINFO, Laboratório Nacional de Computação Científica, LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Zip Code: 25651­075, Petrópolis, Rio de Janeiro, Brazil.
  • Seixas Zeitel R; UTI Pediátrica, Hospital Universitário Pedro Ernesto, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Gerber AL; Laboratório de Bioinformática - LABINFO, Laboratório Nacional de Computação Científica, LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Zip Code: 25651­075, Petrópolis, Rio de Janeiro, Brazil.
  • Rodrigues MCF; Serviço de Reumatologia Pediátrica, Instituto de Puericultura e Pediatria Martagão Gesteira - IPPMG, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Guimarães APC; Laboratório de Bioinformática - LABINFO, Laboratório Nacional de Computação Científica, LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Zip Code: 25651­075, Petrópolis, Rio de Janeiro, Brazil.
  • Silva RM; UTI Pediátrica, Hospital Universitário Pedro Ernesto, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Fonseca AR; Serviço de Reumatologia Pediátrica, Instituto de Puericultura e Pediatria Martagão Gesteira - IPPMG, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Souza RC; Laboratório de Bioinformática - LABINFO, Laboratório Nacional de Computação Científica, LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Zip Code: 25651­075, Petrópolis, Rio de Janeiro, Brazil.
  • de Souza ATAM; UTI Pediátrica, Hospital Universitário Pedro Ernesto, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Rossi ÁD; Laboratório de Virologia Molecular, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Porto LCMS; Laboratório de Histocompatibilidade e Criopreservação, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Cardoso CC; Laboratório de Virologia Molecular, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
  • de Vasconcelos ATR; Laboratório de Bioinformática - LABINFO, Laboratório Nacional de Computação Científica, LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Zip Code: 25651­075, Petrópolis, Rio de Janeiro, Brazil. atrv@lncc.br.
Mol Med ; 28(1): 153, 2022 12 12.
Article in English | MEDLINE | ID: covidwho-2162292
ABSTRACT

BACKGROUND:

Multisystem Inflammatory Syndrome in Children (MIS-C) is a life-threatening complication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, which manifests as a hyper inflammatory process with multiorgan involvement in predominantly healthy children in the weeks following mild or asymptomatic coronavirus disease 2019 (COVID-19). However, host monogenic predisposing factors to MIS-C remain elusive.

METHODS:

Herein, we used whole exome sequencing (WES) on 16 MIS-C Brazilian patients to identify single nucleotide/InDels variants as predisposition factors associated with MIS-C.

RESULTS:

We identified ten very rare variants in eight genes (FREM1, MPO, POLG, C6, C9, ABCA4, ABCC6, and BSCL2) as the most promising candidates to be related to a higher risk of MIS-C development. These variants may propitiate a less effective immune response to infection or trigger the inflammatory response or yet a delayed hyperimmune response to SARS-CoV-2. Protein-Protein Interactions (PPIs) among the products of the mutated genes revealed an integrated network, enriched for immune and inflammatory response mechanisms with some of the direct partners representing gene products previously associated with MIS-C and Kawasaki disease (KD). In addition, the PPIs direct partners are also enriched for COVID-19-related gene sets. HLA alleles prediction from WES data allowed the identification of at least one risk allele in 100% of the MIS-C patients.

CONCLUSIONS:

This study is the first to explore host MIS-C-associated variants in a Latin American admixed population. Besides expanding the spectrum of MIS-C-associated variants, our findings highlight the relevance of using WES for characterising the genetic interindividual variability associated with COVID-19 complications and ratify the presence of overlapping/convergent mechanisms among MIS-C, KD and COVID-19, crucial for future therapeutic management.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Etiology study / Prognostic study Topics: Long Covid / Variants Limits: Child / Humans Country/Region as subject: South America / Brazil Language: English Journal: Mol Med Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: S10020-022-00583-5

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Etiology study / Prognostic study Topics: Long Covid / Variants Limits: Child / Humans Country/Region as subject: South America / Brazil Language: English Journal: Mol Med Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: S10020-022-00583-5