Cell Reports (Aug 2019)

Molecular Portraits of Early Rheumatoid Arthritis Identify Clinical and Treatment Response Phenotypes

  • Myles J. Lewis,
  • Michael R. Barnes,
  • Kevin Blighe,
  • Katriona Goldmann,
  • Sharmila Rana,
  • Jason A. Hackney,
  • Nandhini Ramamoorthi,
  • Christopher R. John,
  • David S. Watson,
  • Sarah K. Kummerfeld,
  • Rebecca Hands,
  • Sudeh Riahi,
  • Vidalba Rocher-Ros,
  • Felice Rivellese,
  • Frances Humby,
  • Stephen Kelly,
  • Michele Bombardieri,
  • Nora Ng,
  • Maria DiCicco,
  • Désirée van der Heijde,
  • Robert Landewé,
  • Annette van der Helm-van Mil,
  • Alberto Cauli,
  • Iain B. McInnes,
  • Christopher D. Buckley,
  • Ernest Choy,
  • Peter C. Taylor,
  • Michael J. Townsend,
  • Costantino Pitzalis

Journal volume & issue
Vol. 28, no. 9
pp. 2455 – 2470.e5

Abstract

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Summary: There is a current imperative to unravel the hierarchy of molecular pathways that drive the transition of early to established disease in rheumatoid arthritis (RA). Herein, we report a comprehensive RNA sequencing analysis of the molecular pathways that drive early RA progression in the disease tissue (synovium), comparing matched peripheral blood RNA-seq in a large cohort of early treatment-naive patients, namely, the Pathobiology of Early Arthritis Cohort (PEAC). We developed a data exploration website (https://peac.hpc.qmul.ac.uk/) to dissect gene signatures across synovial and blood compartments, integrated with deep phenotypic profiling. We identified transcriptional subgroups in synovium linked to three distinct pathotypes: fibroblastic pauci-immune pathotype, macrophage-rich diffuse-myeloid pathotype, and a lympho-myeloid pathotype characterized by infiltration of lymphocytes and myeloid cells. This is suggestive of divergent pathogenic pathways or activation disease states. Pro-myeloid inflammatory synovial gene signatures correlated with clinical response to initial drug therapy, whereas plasma cell genes identified a poor prognosis subgroup with progressive structural damage. : Lewis et al. use histology and RNA-seq of synovial biopsies from a cohort of early rheumatoid arthritis individuals to identify three histological pathotypes and reveal gene modules associated with disease severity and clinical response. Keywords: rheumatoid arthritis, RNA sequencing, personalized medicine, synovial biopsy, ectopic lymphoid structures, lymphoid neogenesis, transcriptomics, Pathobiology of Early Arthritis Cohort study, PEAC