1. Rare genetic variants involved in multisystem inflammatory syndrome in children: a multicenter Brazilian cohort study.
- Author
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Santos Dos Reis, Bάrbara Carvalho, Soares Faccion, Roberta, Anisio de Carvalho, Flavia Amendola, Cox Moore, Daniella Campelo Batalha, Chaves Zuma, Maria Celia, Plaça, Desirée Rodrigues, Salerno Filgueiras, Igor, Mathias Fonseca, Dennyson Leandro, Cabral-Marques, Otavio, Cesar Bonomo, Adriana, Savino, Wilson, de Paula Freitas, Flάvia Cristina, Faoro, Helisson, Passetti, Fabio, Rodrigues Robaina, Jaqueline, Caino de Oliveira, Felipe Rezende, Novaes Bellinat, Ana Paula, de Seixas Zeitel, Raquel, dos Santos Salú, Margarida, and Genuíno de Oliveira, Mariana Barros
- Subjects
MULTISYSTEM inflammatory syndrome in children ,GENETIC variation ,INTERFERON gamma ,EXOMES ,MUCOCUTANEOUS lymph node syndrome ,INTERFERON receptors ,MULTISYSTEM inflammatory syndrome - Abstract
Introduction: Despite the existing data on the Multisystem Inflammatory Syndrome in Children (MIS-C), the factors that determine these patients evolution remain elusive. Answers may lie, at least in part, in genetics. It is currently under investigation that MIS-C patients may have an underlying innate error of immunity (IEI), whether of monogenic, digenic, or even oligogenic origin. Methods: To further investigate this hypothesis, 30 patients with MIS-C were submitted to whole exome sequencing. Results: Analyses of genes associated with MIS-C, MIS-A, severe covid-19, and Kawasaki disease identified twenty-nine patients with rare potentially damaging variants (50 variants were identified in 38 different genes), including those previously described in IFNA21 and IFIH1 genes, new variants in genes previously described in MIS-C patients (KMT2D, CFB, and PRF1), and variants in genes newly associated to MIS-C such as APOL1, TNFRSF13B, and G6PD. In addition, gene ontology enrichment pointed tothe involvement of thirteen major pathways, including complement system, hematopoiesis, immune system development, and type II interferon signaling, that were not yet reported in MIS-C. Discussion: These data strongly indicate that different gene families may favor MIS- C development. Larger cohort studies with healthy controls and other omics approaches, such as proteomics and RNAseq, will be precious to better understanding the disease dynamics. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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