Evidence map›Paper›PMID 34437303›Full record

ArticleThe Journal of clinical investigation2021

The autoimmune signature of hyperinflammatory multisystem inflammatory syndrome in children.

Rebecca A Porritt, Aleksandra Binek, Lisa Paschold, Magali Noval Rivas, Angela McArdle, Lael M Yonker, Galit Alter, Harsha K Chandnani, Merrick Lopez, Alessio Fasano and 3 more

Abstract read
In one paragraph

Article in The Journal of clinical investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing 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

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

90 citing papers in PubMed.

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30 more citing papers are in PubMed but not listed here.

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.

Rebecca A PorrittDepartments of Pediatrics, Division of Infectious Diseases and Immunology, and Infectious and Immunologic Diseases Research Center (IIDRC), Department of Biomedical Sciences and.
Aleksandra BinekAdvanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Lisa PascholdDepartment of Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Magali Noval RivasDepartments of Pediatrics, Division of Infectious Diseases and Immunology, and Infectious and Immunologic Diseases Research Center (IIDRC), Department of Biomedical Sciences and.
Angela McArdleAdvanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Lael M YonkerMassachusetts General Hospital, Mucosal Immunology and Biology Research Center and Department of Pediatrics, Boston, Massachusetts, USA.
Galit AlterMassachusetts General Hospital, Mucosal Immunology and Biology Research Center and Department of Pediatrics, Boston, Massachusetts, USA.
Harsha K ChandnaniDepartment of Pediatrics, Loma Linda University Hospital, California, USA.
Merrick LopezDepartment of Pediatrics, Loma Linda University Hospital, California, USA.
Alessio FasanoMassachusetts General Hospital, Mucosal Immunology and Biology Research Center and Department of Pediatrics, Boston, Massachusetts, USA.
Jennifer E Van EykAdvanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Mascha BinderDepartment of Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Moshe ArditiDepartments of Pediatrics, Division of Infectious Diseases and Immunology, and Infectious and Immunologic Diseases Research Center (IIDRC), Department of Biomedical Sciences and.

Funding

Role of IL-1 in Bacterial ligand-induced vasculitis and myocarditisR01AI072726 · NIAID · CEDARS-SINAI MEDICAL CENTER · PI ARDITI, MOSHE · 2008 to 2020
$4.5M
NIAID NIH HHS R01 AI072726
6 · The paper itself

Abstract

Multisystem inflammatory syndrome in children (MIS-C) manifests as a severe and uncontrolled inflammatory response with multiorgan involvement, occurring weeks after SARS-CoV-2 infection. Here, we utilized proteomics, RNA sequencing, autoantibody arrays, and B cell receptor (BCR) repertoire analysis to characterize MIS-C immunopathogenesis and identify factors contributing to severe manifestations and intensive care unit admission. Inflammation markers, humoral immune responses, neutrophil activation, and complement and coagulation pathways were highly enriched in MIS-C patient serum, with a more hyperinflammatory profile in severe than in mild MIS-C cases. We identified a strong autoimmune signature in MIS-C, with autoantibodies targeted to both ubiquitously expressed and tissue-specific antigens, suggesting autoantigen release and excessive antigenic drive may result from systemic tissue damage. We further identified a cluster of patients with enhanced neutrophil responses as well as high anti-Spike IgG and autoantibody titers. BCR sequencing of these patients identified a strong imprint of antigenic drive with substantial BCR sequence connectivity and usage of autoimmunity-associated immunoglobulin heavy chain variable region (IGHV) genes. This cluster was linked to a TRBV11-2 expanded T cell receptor (TCR) repertoire, consistent with previous studies indicating a superantigen-driven pathogenic process. Overall, we identify a combination of pathogenic pathways that culminate in MIS-C and may inform treatment.

Indexed as

AutoimmunityAdaptive ImmunityAdolescentBiomarkersCase-Control StudiesChildChild, PreschoolCohort StudiesCOVID-19Cytokine Release SyndromeFemaleHumansInfantInflammationMaleMucocutaneous Lymph Node SyndromeBiomarkersReceptors, Antigen, B-CellAutoimmune diseasesCellular immune responseCOVID-19CytokinesInflammation

Identifiers

PMID34437303
PMCPMC8516454

What OpenQuestion holds

Textmetadata
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.