Role of synovial fibroblast subsets across synovial pathotypes in rheumatoid arthritis: a deconvolution analysis
0301 basic medicine
2403 Immunology
rheumatoid
2745 Rheumatology
Synovial Membrane
10051 Rheumatology Clinic and Institute of Physical Medicine
610 Medicine & health
Rheumatoid Arthritis
Fibroblasts
Arthritis, Rheumatoid
03 medical and health sciences
arthritis
fibroblasts
2723 Immunology and Allergy
Humans
synovitis
DOI:
10.1136/rmdopen-2021-001949
Publication Date:
2022-01-05T16:45:19Z
AUTHORS (15)
ABSTRACT
To integrate published single-cell RNA sequencing (scRNA-seq) data and assess the contribution of synovial fibroblast (SF) subsets to pathotypes respective clinical characteristics in treatment-naïve early arthritis.In this silico study, we integrated scRNA-seq from studies with additional unpublished in-house data. Standard Seurat, Harmony Liger workflow was performed for integration differential gene expression analysis. We estimated single cell type proportions bulk RNA-seq (deconvolution) tissue 87 arthritis patients Pathobiology Early Arthritis Cohort using MuSiC. SF across (fibroid, lymphoid myeloid) relationship disease activity measurements different were assessed.We identified four clusters marker genes: PRG4+ (CD55, MMP3, PRG4, THY1neg ); CXCL12+ (CXCL12, CCL2, ADAMTS1, THY1low POSTN+ (POSTN, collagen genes, THY1); CXCL14+ (CXCL14, C3, CD34, ASPN, THY1) that correspond lining (PRG4+ SF) sublining (CXCL12+ SF, + subsets. most prominent fibroid while appeared highest myeloid pathotype. Corresponding, assessed by histology (assessed Krenn-Score) thicker myeloid, but also pathotype correlated positively severity parameters fibroid, whereas showed negative association all pathotypes.This study shows a so far unexplored between distinct pathologies subtypes defined scRNA-seq. The knowledge diverse interplay immune cells will advance opportunities tailored targeted treatments.
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