Summary: In rare instances, pediatric SARS-CoV2 infection results in a novel immunodysregulation syndrome termed multisystem inflammatory syndrome in children (MIS-C). We compared MIS-C immunopathology with that of severe COVID-19. MIS-C does not result in pneumocyte damage but is associated with vascular endothelitis, gastrointestinal epithelial injury and endotoxemia. In MIS-C, IFN dominates the inflammatory signature in contrast to type I interferons in severe COVID-19. MIS-C does not result in pneumocyte damage but is associated with vascular endothelitis, gastrointestinal epithelial injury and endotoxemia. In MIS-C, IFN dominates the inflammatory signature in contrast to type I interferons in severe COVID-19. While HLA-DRlo classical monocytes dominate severe COVID-19, patrolling monocyte activation characterize MIS-C. TIM-3 expression on activated CD4/CD8 T cells and on CD57+ NK cells is a distinctive MIS-C feature. In all MIS-C patients, single cell TCR profiling demonstrates a skewed TCR repertoire enriched for TRBV11-2 and a superantigenic signature which is absent in severe COVID-19. Using NicheNet, we confirm IFN as a central cytokine in the communication between activated T cells, NK cells and patrolling monocytes. Rapid normalization of IFN, TIM-3 loss on T cells and patrolling monocytes contraction upon treatment highlight their potential role in MIS-C immunopathogenesis.
Overall Design: Single cell RNA sequencing of 7 pediatric patients suffering from MIS-C, compared with 5 healthy siblings that did not experience MIS-C, and 4 adult patients with severe COVID-19. Patient samples were obtained during hospitalisation and at maximal inflammation. Samples from siblings were acquired ambulatory in the absence of inflammation. We compared transcriptomic data in leukocytes between these three cohorts and used additional computational modelling tools (GSEA, IPA and Nichenet) to characterize the immunodysregulation that is observed in MIS-C and is distinct from baseline conditions in their healthy siblings and adult COVID-19. In addition, we specifically analyzed the TCR repertoire within the T cells of these patients.
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Growth Protocol: | - |
Treatment Protocol: | - |
Extract Protocol: | After thawing PBMCs were counted, isolated and spun down. The cell pellet was resuspended and incubated for 30 min on ice with staining mix in PBS containing 0.04% BSA, L/D-DAPI, CD3-FITC (HIT3A), CD14-PerCP-Cy5-5 (HIB19), CCR5-PE (2D7), Human TruStain FcX (BioLegend, Cat. 422302) and TotalSeq-C hashing antibodies (BioLegend). |
Library Construction Protocol: | The sorted single-cell suspensions were resuspended and loaded on a Chromium GemCode Single Cell Instrument (10x Genomics) to generate single-cell gel beads-in-emulsion (GEM). The scRNA/Feature Barcoding/TCR libraries were prepared using the GemCode Single Cell 5’ Gel Bead and Library kit, version 1.1 (10x Genomics, Cat. 1000165) according to the manufacturer’s instructions. |
Molecule Type: | polyA(+) RNA |
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Library Layout: | PAIRED |
Library Strand: | - |
Platform: | ILLUMINA |
Instrument Model: | Illumina NovaSeq 6000 |
Strand-Specific: | - |
Data Resource | GEN Sample ID | GEN Dataset ID | Project ID | BioProject ID | Sample ID | Sample Name | BioSample ID | Sample Accession | Experiment Accession | Release Date | Submission Date | Update Date | Species | Race | Ethnicity | Age | Age Unit | Gender | Source Name | Tissue | Cell Type | Cell Subtype | Cell Line | Disease | Disease State | Development Stage | Mutation | Phenotype | Case Detail | Control Detail | Growth Protocol | Treatment Protocol | Extract Protocol | Library Construction Protocol | Molecule Type | Library Layout | Strand-Specific | Library Strand | Spike-In | Strategy | Platform | Instrument Model | Cell Number | Reads Number | Gbases | AvgSpotLen1 | AvgSpotLen2 | Uniq Mapping Rate | Multiple Mapping Rate | Coverage Rate |
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