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Abstract

Treatment-refractory rheumatoid arthritis (RA) is a major unmet need, and the mechanisms driving treatment resistance are poorly understood. To identify molecular determinants of RA non-remission, we performed spatial transcriptomic profiling on pre- and post-treatment synovial tissue biopsies from treatment naive patients who received conventional DMARDs or adalimumab for 6 months. In the baseline biopsies of non-remission patients, we identified significant expansion of fibrogenic fibroblasts marked by high expression of COMP, a fibrosis-associated extracellular matrix protein. COMPhi fibroblasts localized to perivascular niches that, unexpectedly, served as transcriptional hubs for TGF{beta} activity. We identified endothelial-derived Notch signaling as an upstream regulator of fibroblast TGF{beta} signaling via its dual role in driving TGF{beta} isoform expression and suppressing TGF{beta} receptors, generating a proximal-distal gradient of TGF{beta} activity. Further, disruption of steady-state Notch signaling in vitro enabled fibrogenic fibroblast activation. Analysis of post-treatment biopsies revealed marked expansion of COMPhi fibroblasts in non-remission RA patients, despite evidence of successful immune cell depletion, suggesting a spatiotemporal process of fibrogenic remodeling linked to treatment resistance. Collectively, our data implicates targeting of TGF{beta} signaling to prevent exuberant synovial tissue fibrosis as a potential therapeutic strategy for refractory RA.

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Claude Opus 5.5 · xhigh effort · 5 Nov 2026 · from the full text of version 1 (17 Mar 2025) · CC BY 4.0

Perivascular COMPhi fibrogenic fibroblasts expand in treatment-refractory rheumatoid arthritis synovium, where endothelial Notch signaling patterns fibroblast TGF-beta sensitivity via TGFBR3 regulation and persists despite post-treatment immune cell depletion.

Over 50% of rheumatoid arthritis (RA) patients fail to achieve remission with initial anti-inflammatory therapies, and the tissue mechanisms driving refractory disease despite immune suppression remain unclear. Subcellular spatial transcriptomics of longitudinal synovial biopsies and endothelial-fibroblast co-cultures reveal that endothelial Notch signaling establishes a perivascular TGF-beta sensitivity gradient whose disruption drives COMPhi fibrogenic fibroblast expansion and treatment resistance.

Key results

  1. ShownCOMPhi fibrogenic fibroblasts are enriched for a treatment non-response gene signature and are elevated at baseline in early RA patients who fail to achieve 6-month remission.

    Across 7 spatial niches in 16 treatment-naive early RA biopsies (5,101-gene Xenium panel), a 290-gene non-responder signature from the PEAC bulk RNA-seq cohort (n = 69) enriched in stromal-adipose (padj = 8e-61) and fibroblast-rich (padj = 2e-14) niches and in COMPhi vs POSTNhi fibroblasts in AMP scRNA-seq (n = 82, p < 2.22e-16); baseline COMP was higher in 6-month non-remission vs remission patients (p = 0.0312). · Identification of distinct immune and…; COMP expression defines a fibrogenic program…; Figure legends

  2. ShownEndothelial cells organize a proximal-to-distal perivascular gradient separating Notch-active POSTNhi/TGFB1+/TGFB3+ fibroblasts from distal COMPhi/TGFBR2+/TGFBR3+ fibroblasts.

    In RA synovium (n = 4, 50-gene panel) and HUVEC-synovial fibroblast co-cultures, fibroblasts within ~1 cell layer (~23 um) of endothelial cells expressed Notch targets (JAG1, HES1, NOTCH3; p < 2.22e-308), POSTN (p = 5.27e-33), TGFB1 (p < 2.22e-308), and TGFB3 (p < 2.22e-308), whereas distal fibroblasts expressed COMP (p = 1.36e-111) and TGFBR1/2/3 (p <= 8.83e-205), with pSMAD3 restricted to perivascular niches. · Perivascular compartmentalization of TGFβ…; Endothelial cells generate spatial patterning of…; Figure legends

  3. ShownNotch activation induces fibroblast TGFB1, TGFB3, and POSTN while suppressing TGFBR2, TGFBR3, and COMP, and TGFBR3 overexpression restores COMP production.

    Stimulating synovial fibroblasts (n = 6) with plate-bound DLL4 induced TGFB1 (4.121-fold, p = 0.0006), TGFB3 (5.646-fold, p = 0.0138), pro-collagen I alpha (222.2 vs 30.92 ng/mL, p < 0.0001), and POSTN (56-fold, p = 0.003) while suppressing TGFBR2 (-2.613-fold, p = 0.0075), TGFBR3 (-2.006-fold, p = 0.0530), and COMP (-2-fold, p = 0.0082), reversed by 10 uM DAPT; TGFBR3 OE raised COMP 3.85-fold (p = 0.0001). · Patterning of fibroblast TGFβ responsiveness via…; Figure legends

  4. ShownDisrupting steady-state endothelial DLL4-Notch signaling derepresses fibroblast TGFBR3 and triggers spatial expansion of COMP-expressing fibroblasts.

    In HUVEC-fibroblast co-cultures, siRNA knockdown of endothelial DLL4 decreased POSTN production from day 3 (p = 0.0126) and TGFB3 expression (p = 6e-51), but derepressed TGFBR3 across proximal and distal zones (p < 2e-308) and increased secreted COMP protein from day 4 (p = 0.0109) and single-cell COMP transcript intensity (p = 1.4e-6); in vivo vascular niche Notch scores negatively correlated with TGFBR3. · Disruption of steady-state Notch patterning…; Figure legends

  5. ShownCOMPhi fibroblasts expand in post-treatment biopsies of non-remission patients despite immune cell depletion and associate with systemic serum fibrogenic proteins in long-duration RA.

    Across 17 paired 6-month post-treatment biopsies (triple DMARD or adalimumab), immune infiltrates fell regardless of response, whereas COMP+ fibroblasts expanded in 5 of 6 non-remission patients (vs <1% change in 5 of 10 remission patients) and accumulated in pauci-cellular zones (R = -0.44, p = 0.073); in AMP, CTAP-EFM patients had highest COMP, longer duration (p = 0.014), and higher serum SPARC, OGN, and CCN2. · Spatiotemporal evolution of the COMPhi…; Figure legends

Methods, data and reproducibility

Paired pre- and 6-month post-treatment FFPE synovial biopsies from 17 early RA patients (triple DMARDs or adalimumab) were profiled by 10x Xenium 5,101-gene spatial transcriptomics (Seurat v5, Harmony, Tessera), plus a 50-gene Xenium panel on 4 RA synovia and HUVEC-fibroblast co-cultures. Integrated PEAC RNA-seq (n=69), AMP scRNA-seq (n=82), Olink proteomics, RBPJ ChIP-seq, and DLL4/TGFBR3 perturbations.

  • Paired pre- and 6-month post-treatment FFPE synovial biopsies from treatment-naive early RA patients (396.10 study, triple DMARDs or adalimumab) profiled by 10x Xenium 5,101-gene panel · human · n = 17 patients (16 baseline samples after QC, 17 paired pre/post samples)
  • Additional RA synovial biopsies and HUVEC-synovial fibroblast 2D co-cultures profiled with a 50-gene custom Xenium fibrogenic panel · human · n = 4 RA synovial samples; co-culture of 120,000 fibroblasts and 60,000 HUVECs
  • PEAC cohort treatment-naive RA synovial bulk RNA-sequencing dataset · human · n = 69 patients (53 responders and 16 non-responders at 6 months)
  • AMP RA/SLE synovial single-cell RNA-seq dataset and ~5,400-plex Olink serum proteomics dataset · human · n = 82 patients (scRNA-seq); Olink: 7 CTAP-EFM vs 60 other CTAPs
  • Public HepG2 RBPJ ChIP-seq dataset used to assess promoter binding at TGFBR2 and TGFBR3 · human · ENCSR596FEL
Methods & tools
10X Genomics Xenium Analyzer, Xenium Onboard Analysis, Xenium Explorer, Seurat, Harmony, Tessera, UCell, DESeq2, OlinkAnalyze, limma, Cellpose, MACS2
Reagents & environment
Seurat v5.0.0, Xenium Explorer v3.2, FlowJo version 10, GraphPad Prism version 10.4.1, R version 4.4.1/4.4.2
Reproducibility gaps
Public ChIP-seq data is cited by bare accession ENCSR596FEL without an http(s) URL; no accession numbers or repository URLs are provided for the newly generated Xenium spatial transcriptomics datasets or analysis code.
Limitations (3)
  • The longitudinal spatial transcriptomics cohort was small (17 paired biopsies, with 16 passing baseline quality control), requiring validation in larger longitudinal cohorts. · stated by the authors
  • In baseline synovial tissue vascular niches, Notch activation scores negatively correlated with TGFBR3 expression but did not significantly correlate with COMP expression, potentially due to heterogeneity across vascular subtypes. · stated by the authors
  • Differential serum protein comparisons in the Olink dataset (7 CTAP-EFM vs 60 other patients) reported unadjusted p-values, and statistical comparisons did not formally test for normality. · stated by the authors

Who should read:Read this if you study rheumatoid arthritis treatment resistance, synovial fibroblast heterogeneity, or spatial transcriptomics of perivascular Notch-TGF-beta signaling.

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