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Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children

Author

Listed:
  • Noam D. Beckmann

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Phillip H. Comella

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology
    Icahn School of Medicine at Mount Sinai)

  • Esther Cheng

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Lauren Lepow

    (Icahn School of Medicine at Mount Sinai)

  • Aviva G. Beckmann

    (Icahn School of Medicine at Mount Sinai)

  • Scott R. Tyler

    (Icahn School of Medicine at Mount Sinai)

  • Konstantinos Mouskas

    (Icahn School of Medicine at Mount Sinai)

  • Nicole W. Simons

    (Icahn School of Medicine at Mount Sinai)

  • Gabriel E. Hoffman

    (Icahn School of Medicine at Mount Sinai)

  • Nancy J. Francoeur

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Diane Marie Valle

    (Icahn School of Medicine at Mount Sinai)

  • Gurpawan Kang

    (Icahn School of Medicine at Mount Sinai)

  • Anh Do

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Emily Moya

    (Icahn School of Medicine at Mount Sinai)

  • Lillian Wilkins

    (Icahn School of Medicine at Mount Sinai)

  • Jessica Berichel

    (Icahn School of Medicine at Mount Sinai)

  • Christie Chang

    (Icahn School of Medicine at Mount Sinai)

  • Robert Marvin

    (Icahn School of Medicine at Mount Sinai)

  • Sharlene Calorossi

    (Icahn School of Medicine at Mount Sinai)

  • Alona Lansky

    (Icahn School of Medicine at Mount Sinai)

  • Laura Walker

    (Icahn School of Medicine at Mount Sinai)

  • Nancy Yi

    (Icahn School of Medicine at Mount Sinai)

  • Alex Yu

    (Icahn School of Medicine at Mount Sinai)

  • Jonathan Chung

    (Icahn School of Medicine at Mount Sinai)

  • Matthew Hartnett

    (Icahn School of Medicine at Mount Sinai)

  • Melody Eaton

    (Icahn School of Medicine at Mount Sinai)

  • Sandra Hatem

    (Icahn School of Medicine at Mount Sinai)

  • Hajra Jamal

    (Icahn School of Medicine at Mount Sinai)

  • Alara Akyatan

    (Icahn School of Medicine at Mount Sinai)

  • Alexandra Tabachnikova

    (Icahn School of Medicine at Mount Sinai)

  • Lora E. Liharska

    (Icahn School of Medicine at Mount Sinai)

  • Liam Cotter

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Brian Fennessy

    (Icahn School of Medicine at Mount Sinai)

  • Akhil Vaid

    (Icahn School of Medicine at Mount Sinai)

  • Guillermo Barturen

    (Center for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government (GENYO))

  • Hardik Shah

    (Icahn School of Medicine at Mount Sinai)

  • Ying-chih Wang

    (Icahn School of Medicine at Mount Sinai)

  • Shwetha Hara Sridhar

    (Icahn School of Medicine at Mount Sinai)

  • Juan Soto

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Swaroop Bose

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Kent Madrid

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Ethan Ellis

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Elyze Merzier

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Konstantinos Vlachos

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Nataly Fishman

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Manying Tin

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Melissa Smith

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Hui Xie

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Manishkumar Patel

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Kai Nie

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Kimberly Argueta

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Jocelyn Harris

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Neha Karekar

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Craig Batchelor

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Jose Lacunza

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Mahlet Yishak

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Kevin Tuballes

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Ieisha Scott

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Arvind Kumar

    (Icahn School of Medicine at Mount Sinai)

  • Suraj Jaladanki

    (Icahn School of Medicine at Mount Sinai)

  • Charuta Agashe

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Ryan Thompson

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology)

  • Evan Clark

    (Icahn School of Medicine at Mount Sinai)

  • Bojan Losic

    (Icahn School of Medicine at Mount Sinai)

  • Lauren Peters

    (Icahn School of Medicine at Mount Sinai)

  • Panagiotis Roussos

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology
    Icahn School of Medicine at Mount Sinai)

  • Jun Zhu

    (Icahn School of Medicine at Mount Sinai)

  • Wenhui Wang

    (Icahn School of Medicine at Mount Sinai)

  • Andrew Kasarskis

    (Icahn School of Medicine at Mount Sinai)

  • Benjamin S. Glicksberg

    (Icahn School of Medicine at Mount Sinai)

  • Girish Nadkarni

    (Mount Sinai COVID Informatics Center
    Mount Sinai
    Hasso Plattner Institute for Digital Health at Mount Sinai
    Charles Bronfman Institute for Personalized Medicine)

  • Dusan Bogunovic

    (Icahn School of Medicine at Mount Sinai)

  • Cordelia Elaiho

    (Icahn School of Medicine at Mount Sinai)

  • Sandeep Gangadharan

    (Icahn School of Medicine at Mount Sinai)

  • George Ofori-Amanfo

    (Icahn School of Medicine at Mount Sinai)

  • Kasey Alesso-Carra

    (Icahn School of Medicine at Mount Sinai)

  • Kenan Onel

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Karen M. Wilson

    (Icahn School of Medicine at Mount Sinai)

  • Carmen Argmann

    (Icahn School of Medicine at Mount Sinai)

  • Supinda Bunyavanich

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology
    Icahn School of Medicine at Mount Sinai)

  • Marta E. Alarcón-Riquelme

    (Icahn School of Medicine at Mount Sinai)

  • Thomas U. Marron

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Adeeb Rahman

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Seunghee Kim-Schulze

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Sacha Gnjatic

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Bruce D. Gelb

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Mindich Child Health and Development Institute at Mount Sinai)

  • Miriam Merad

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Robert Sebra

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology
    Black Family Stem Cell Institute
    Sema4, a Mount Sinai Venture)

  • Eric E. Schadt

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology
    Sema4, a Mount Sinai Venture)

  • Alexander W. Charney

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute of Data Science and Genomics Technology
    Icahn School of Medicine at Mount Sinai
    Mount Sinai COVID Informatics Center)

Abstract

Multisystem inflammatory syndrome in children (MIS-C) presents with fever, inflammation and pathology of multiple organs in individuals under 21 years of age in the weeks following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Although an autoimmune pathogenesis has been proposed, the genes, pathways and cell types causal to this new disease remain unknown. Here we perform RNA sequencing of blood from patients with MIS-C and controls to find disease-associated genes clustered in a co-expression module annotated to CD56dimCD57+ natural killer (NK) cells and exhausted CD8+ T cells. A similar transcriptome signature is replicated in an independent cohort of Kawasaki disease (KD), the related condition after which MIS-C was initially named. Probing a probabilistic causal network previously constructed from over 1,000 blood transcriptomes both validates the structure of this module and reveals nine key regulators, including TBX21, a central coordinator of exhausted CD8+ T cell differentiation. Together, this unbiased, transcriptome-wide survey implicates downregulation of NK cells and cytotoxic T cell exhaustion in the pathogenesis of MIS-C.

Suggested Citation

  • Noam D. Beckmann & Phillip H. Comella & Esther Cheng & Lauren Lepow & Aviva G. Beckmann & Scott R. Tyler & Konstantinos Mouskas & Nicole W. Simons & Gabriel E. Hoffman & Nancy J. Francoeur & Diane Mar, 2021. "Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24981-1
    DOI: 10.1038/s41467-021-24981-1
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