Evidence map›Paper›PMID 39844836›Full record

ArticleFrontiers in cellular and infection microbiology2024

Genetic insights into MIS-C Post-COVID-19 in Kuwaiti children: investigating monogenic factors.

Mohammed Dashti, Hessa AlKandari, Md Zubbair Malik, Rasheeba Nizam, Sumi Elsa John, Sindhu Jacob, Arshad Channanath, Fouzeyah Othman, Safa Al-Sayed, Osama Al-Hindi and 3 more

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Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 citing papers in PubMed.

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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

13 authors.

Mohammed Dashti *Department of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Hessa AlKandari *Department of Population Health, Dasman Diabetes Institute, Kuwait City, Kuwait.
Md Zubbair MalikDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Rasheeba NizamDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Sumi Elsa JohnDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Sindhu JacobDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Arshad ChannanathDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Fouzeyah OthmanDepartment of Population Health, Dasman Diabetes Institute, Kuwait City, Kuwait.
Safa Al-SayedDepartment of Paediatrics, Sabah Hospital, Ministry of Health, Kuwait City, Kuwait.
Osama Al-HindiDepartment of Paediatrics, Sabah Hospital, Ministry of Health, Kuwait City, Kuwait.
Mona Al-MutariDepartment of Paediatrics, Adan Hospital, Ministry of Health, Ahmadi, Kuwait.
Thangavel Alphonse ThanarajDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Fahd Al-MullaDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multisystem inflammatory syndrome in children (MIS-C) is a severe complication arising from SARS-CoV-2 infection, with indications that rare inborn errors of immunity may play a role in its pathogenesis. Recent studies suggest that genetic predispositions, particularly monogenic forms, could significantly influence the immune responses to SARS-CoV-2 in MIS-C. Methods: We analysed 24 children under 12 years old, all of whom met the criteria provided by the World Health Organization, 2020 for MIS-C diagnosis, from the Paediatric COVID-19 Registry in Kuwait (PCR-Q8). Demographic and clinical data were collected from medical records, and exome sequencing was performed on the children and their parents to identify rare exonic variants. These variants were prioritized using two approaches: a candidate genes approach employing trio segregation analysis, and a candidate variants approach using a gene panel informed by previous studies on MIS-C-related genetic variants and datasets of differentially expressed genes in MIS-C patients. Results: The candidate genes approach identified 53 unique genes in 20 of the 24 probands, including Conclusion: This study underscores the monogenic susceptibility to MIS-C, enhancing the evidence base through comprehensive genetic analysis. The findings highlight the critical role of genetic predispositions in MIS-C and suggest that further functional genomics work is necessary to explore the mechanistic contributions of these genes, facilitating the development of targeted diagnostic strategies.

Indexed as

COVID-19Genetic Predisposition to DiseaseSystemic Inflammatory Response SyndromeChildChild, PreschoolExome SequencingFemaleHumansInfantKuwaitMaleSARS-CoV-2coronavirus infectionexome sequencingMIS-Cmonogenicmultisystem inflammatory syndrome in children

Identifiers

PMID39844836
PMCPMC11750811

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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.