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The ontogeny of myeloid-stromal synovial tissue niches in rheumatoid arthritis
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The ontogeny of myeloid-stromal synovial tissue niches in rheumatoid arthritis

Aziza Elmesmari, Domenico Somma, Lucy MacDonald +29 more
February 2026
 ·
bioRxiv
 ·
DOI 
10.1101/2025.10.29.685324
94
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Why this is interesting

Overturning the murine-derived dogma that tissue-resident synovial macrophages are embryonically seeded, this study proves all human subsets derive from adult monocytes under fibroblast niche instruction and delivers a SNP-based organoid platform to interrogate RA pathogenesis.

QED claims analysis

Summary

Human synovial tissue macrophages, including both homeostatic and pathogenic subsets, originate from circulating monocytes and acquire their tissue-specific phenotypes through differentiation cues provided by spatially organized synovial fibroblast niches, with the pathogenic TREM2low SPP1pos lining macrophage phenotype that characterizes rheumatoid arthritis being driven by inflammation-imprinted stromal signals and amplified by inflamed synovial fluid.

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Main Claim 1 –

TREM2low SPP1pos macrophages define hyperplastic RA synovial lining

Supporting evidence

  • Inflamed synovial fluid amplifies pathogenic TREM2low/neg SPP1pos lining STMs
Main Claim 2 –

All human synovial macrophage populations can derive from monocytes

Supporting evidence

  • Embryonic stromal niche maturation precedes synovial macrophage localization
  • Monocytes and iDC3, not cDCs, generate TREM2pos lining STMs
Main Claim 3 –

Synovial organoids recapitulate tissue architecture and support STM development

Supporting evidence

  • Synovial organoids form lining and sublining layers with macrophages
  • Synovial organoids preserve RA fibroblast cluster diversity and phenotypes
  • Organoids support time-dependent differentiation into all STM subsets
  • Organoid-derived STMs localize correctly and express niche-specific markers

Abstract

Recent single-cell multi-omic and spatial analyses of synovial biopsies have transformed our understanding of myeloid cell–driven mechanisms underlying human joint pathology and tissue homeostasis in Rheumatoid arthritis (RA). However, the developmental trajectories of synovial tissue macrophage (STM) subsets in humans remain poorly understood, due in part to the lack of models that faithfully replicate synovial tissue niches. This hinders the exploration of the therapeutic potential of targeting specific synovial myeloid cell clusters. Using multi-omics analyses of synovial tissue from an allogeneic bone marrow transplant recipient, we show that joint-specific tissue-resident STM subsets, including both health- and disease-associated clusters, can derive from peripheral blood monocytes. Analysis of embryonic synovial joints revealed that macrophage localization and maturation in the joints are preceded by local stromal niche specialisation, indicating that synovial fibroblasts (FLS) provide tissue-specific instructive cues to STM precursors. To elucidate human STM developmental trajectories, we established a SNP-based fate-tracking human synovial organoid system by embedding distinct blood-derived myeloid precursors, together with FLS clusters from RA synovial biopsies and endothelial cells, into 3D structures. These organoids reproduced key synovial tissue features, including lining and sublining architecture and stromal–myeloid cell cluster composition. Importantly, they supported differentiation of all resident STM subsets: homeostatic lining TREM2pos macrophages, their pathogenic TREM2lowSPP1pos counterparts that characterize the RA hyperplastic lining, and both homeostatic and RA-associated perivascular LYVE1pos STM clusters, all traced to monocytic precursors. In summary, we show that development of STM subsets is driven by fibroblast-conditioned spatial niches. We have established a novel, tractable ex vivo platform to dissect the niche-specific cues driving homeostatic versus pathogenic phenotypic clusters.

Human tissue-resident STMs develop from monocytes under the guidance of cues from FLS within discrete spatial locations.

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