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Single-Cell Analysis of Crohn's Disease Lesions Identifies a Pathogenic Cellular Module Associated with Resistance to Anti-TNF Therapy

  • Jerome C. Martin
  • , Christie Chang
  • , Gilles Boschetti
  • , Ryan Ungaro
  • , Mamta Giri
  • , John A. Grout
  • , Kyle Gettler
  • , Ling shiang Chuang
  • , Shikha Nayar
  • , Alexander J. Greenstein
  • , Marla Dubinsky
  • , Laura Walker
  • , Andrew Leader
  • , Jay S. Fine
  • , Charles E. Whitehurst
  • , M. Lamine Mbow
  • , Subra Kugathasan
  • , Lee A. Denson
  • , Jeffrey S. Hyams
  • , Joshua R. Friedman
  • Prerak T. Desai, Huaibin M. Ko, Ilaria Laface, Guray Akturk, Eric E. Schadt, Helene Salmon, Sacha Gnjatic, Adeeb H. Rahman, Miriam Merad, Judy H. Cho, Ephraim Kenigsberg

Research output: Contribution to journalArticlepeer-review

664 Scopus citations

Abstract

Clinical benefits of cytokine blockade in ileal Crohn's disease (iCD) are limited to a subset of patients. Here, we applied single-cell technologies to iCD lesions to address whether cellular heterogeneity contributes to treatment resistance. We found that a subset of patients expressed a unique cellular module in inflamed tissues that consisted of IgG plasma cells, inflammatory mononuclear phagocytes, activated T cells, and stromal cells, which we named the GIMATS module. Analysis of ligand-receptor interaction pairs identified a distinct network connectivity that likely drives the GIMATS module. Strikingly, the GIMATS module was also present in a subset of patients in four independent iCD cohorts (n = 441), and its presence at diagnosis correlated with failure to achieve durable corticosteroid-free remission upon anti-TNF therapy. These results emphasize the limitations of current diagnostic assays and the potential for single-cell mapping tools to identify novel biomarkers of treatment response and tailored therapeutic opportunities.

Original languageEnglish
Pages (from-to)1493-1508.e20
JournalCell
Volume178
Issue number6
DOIs
StatePublished - 5 Sep 2019

Keywords

  • Crohn's disease
  • high-dimensional profiling
  • inflammatory bowel disease
  • molecular classification
  • single-cell RNA sequencing

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