Evidence map›Paper›PMID 36510129›Full record

ArticleMolecular medicine (Cambridge, Mass.)2022

Host genetic susceptibility underlying SARS-CoV-2-associated Multisystem Inflammatory Syndrome in Brazilian Children.

Cíntia Barros Santos-Rebouças, Rafael Mina Piergiorge, Cristina Dos Santos Ferreira, Raquel de Seixas Zeitel, Alexandra Lehmkuhl Gerber, Marta Cristine Felix Rodrigues, Ana Paula de Campos Guimarães, Rodrigo Moulin Silva, Adriana Rodrigues Fonseca, Rangel Celso Souza and 5 more

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Cíntia Barros Santos-RebouçasDepartamento de Genética, Instituto de Biologia Roberto Alcantara Gomes, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Rafael Mina PiergiorgeDepartamento de Genética, Instituto de Biologia Roberto Alcantara Gomes, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Cristina Dos Santos FerreiraLaboratório de Bioinformática - LABINFO, Laboratório Nacional de Computação Científica, LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Zip Code: 25651‑075, Petrópolis, Rio de Janeiro, Brazil.
Raquel de Seixas ZeitelUTI Pediátrica, Hospital Universitário Pedro Ernesto, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Alexandra Lehmkuhl GerberLaboratório de Bioinformática - LABINFO, Laboratório Nacional de Computação Científica, LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Zip Code: 25651‑075, Petrópolis, Rio de Janeiro, Brazil.
Marta Cristine Felix RodriguesServiço de Reumatologia Pediátrica, Instituto de Puericultura e Pediatria Martagão Gesteira - IPPMG, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Ana Paula de Campos GuimarãesLaboratório de Bioinformática - LABINFO, Laboratório Nacional de Computação Científica, LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Zip Code: 25651‑075, Petrópolis, Rio de Janeiro, Brazil.
Rodrigo Moulin SilvaUTI Pediátrica, Hospital Universitário Pedro Ernesto, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Adriana Rodrigues FonsecaServiço de Reumatologia Pediátrica, Instituto de Puericultura e Pediatria Martagão Gesteira - IPPMG, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Rangel Celso SouzaLaboratório de Bioinformática - LABINFO, Laboratório Nacional de Computação Científica, LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Zip Code: 25651‑075, Petrópolis, Rio de Janeiro, Brazil.
Ana Tereza Antunes Monteiro de SouzaUTI Pediátrica, Hospital Universitário Pedro Ernesto, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Átila Duque RossiLaboratório de Virologia Molecular, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Luís Cristóvão de Moraes Sobrino PortoLaboratório de Histocompatibilidade e Criopreservação, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Cynthia Chester CardosoLaboratório de Virologia Molecular, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Ana Tereza Ribeiro de VasconcelosLaboratório de Bioinformática - LABINFO, Laboratório Nacional de Computação Científica, LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Zip Code: 25651‑075, Petrópolis, Rio de Janeiro, Brazil. atrv@lncc.br.ORCID 0000-0002-4632-2086
Universidade do Estado do Rio de Janeiro · BRLaboratório Nacional de Computação Científica · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultisystem 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.

methodsHerein, 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.

resultsWe 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.

conclusionsThis 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.

Indexed as

COVID-19SARS-CoV-2ATP-Binding Cassette TransportersChildGenetic Predisposition to DiseaseHumansSystemic Inflammatory Response SyndromeABCA4 protein, humanATP-Binding Cassette TransportersAdmixed populationCOVID-19 complicationsHost geneticsMultisystem Inflammatory Syndrome in ChildrenSARS-CoV-2

Identifiers

PMID36510129
PMCPMC9742658
OpenAlexW4311588016

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.