Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.10.29.685324

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

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

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Elmesmari, A., Somma, D., MacDonald, L., Frew, J., Kuczynska, Z., Di Mario, C., Coletto, L. A., Baruah, S., Campobasso, D., Simakou, T., Philippon, E. M. L., Tas, S. W., Doohan, M., Benvenuto, R., Bruno, D., Gigante, M. R., Petricca, L., Pacucci, V. A., Wei, K., McSharry, C. P., Windell, D., Pledger, S., Davidson, S., Coles, M. C., Gessi, M., Tough, D., D'Agostino, M. A., McInnes, I. B., Dakin, S. G., Buckley, C. D., Alivernini, S., Kurowska-Stolarska, M. G.. 2025-10-30. The ontogeny of myeloid-stromal synovial tissue niches in rheumatoid arthritis.. https://doi.org/10.1101/2025.10.29.685324

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Exploratory positional differences in observed CDRH2 lineage-state transitions following HIV-1 germline-targeting vaccination

Background: Germline-targeting HIV-1 vaccination recruits VRC01-class B-cell precursors, but the positional patterns of observed longitudinal B-cell receptor lineage-state changes remain incompletely described. We compared CDRH2 profiles between homologous and heterologous boosting regimens using published IAVI G002 data. Methods: Participant-specific Week-8 lineages were prospectively matched to Week-24 observations. Germline-to-nongermline changes in sampled lineage-modal residues were evaluated at seven IGHV1-2*02 CDRH2 positions using participant-balanced, mean-centered profiles and exact participant-label permutation inference. Sampling-depth and sorting-probe sensitivity analyses assessed observability. A separate participant-held-out benchmark evaluated antibody-language-model representations for predicting observed Week-24 lineage detection. Results: The CDRH2 analysis included 332 lineages, 15 participants, 2,179 eligible lineage-position observations, and 241 observed state changes. The regional profile statistic was 0.027066 (exact p = 0.001709; six-region adjusted q = 0.010256), with descriptive differences at V-relative positions 51, 54, and 55. Most eligible longitudinal observations had one assessable cell per visit. In seven Group-1 participants, Week-24 dual-probe sampling recovered 181 baseline lineages with eOD-GT8 and 143 with Cg28v2, including 60 detected by both probes. In a separate cohort of 2,739 lineages from 17 participants, IgBERT and AbLang-2 representations did not improve participant-balanced average precision over a four-feature biological baseline. Conclusions: Observed CDRH2 lineage-modal-state profiles differed between regimens in this exploratory secondary analysis. Sparse sampling, potentially probe-related ascertainment, and absent linked functional validation preclude inference about mutation timing, functional improvement, or causal booster effects.

immunology↗

Multivalent mRNA tuberculosis vaccines protect against mycobacterial infection in zebrafish, mice and guinea pigs

Despite a century of BCG use, tuberculosis remains a leading cause of death from infectious diseases and more effective vaccines are urgently needed. Here we combined antigen discovery in zebrafish with mRNA vaccine technology to generate multivalent vaccine candidates, TUmRNA4, TUmRNA6 and TUmRNA9, encoding four, six, or nine Mycobacterium tuberculosis antigens, respectively. The vaccines were well tolerated, and induced robust antigen-specific cellular immune responses, including IFN{gamma} production and expansion of memory T-cell populations. In mice, TUmRNA4 and TUmRNA6 reduced pulmonary M. tuberculosis burden and lung pathology to levels comparable to BCG vaccination and TUmRNA6 enhanced BCG-mediated protection when used as a booster vaccine. In guinea pigs, TUmRNA9 reduced bacterial burden in the lungs, spleen, and lymph nodes and decreased pulmonary lesions. These findings demonstrate that protective antigens identified in zebrafish can be translated into effective multivalent mRNA vaccines and establish a framework for tuberculosis vaccine development across multiple preclinical models.

immunology↗

AlphaScreen profiling of extracellular vesicle-associated platelet, immune, and vascular markers reveals disease-specific signatures in ME/CFS, fibromyalgia, and long COVID

Introduction: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), fibromyalgia (FM), and long COVID (LC-19) are chronic diseases with overlapping clinical features and poorly understood pathophysiology. Increasing evidence suggests the involvement of immune dysregulation, endothelial dysfunction, and altered vascular physiology. Extracellular vesicles (EVs) are key mediators of intercellular communication and are envisioned as sensors of homeostasis and disease. The aim of this study was to determine whether EV marker profiling could provide a basis for the differential diagnosis of ME/CFS, FM and LC-19 and/or patient stratification. Methods: EV-enriched plasma from ME/CFS, FM, cases co-diagnosed with ME/CFS and FM, LC-19 patients, and matched healthy controls (n = 10 per study group) were analyzed. EV concentration and size distribution were assessed by nanoparticle tracking analysis, followed by targeted profiling of EV-associated surface markers via AlphaScreen, including tetraspanins CD9 and CD63, platelet- (CD41/CD61), myeloid- (CD13), immune- (CD74 and CX3CR1), and renin-angiotensin system- associated ACE1 (also known as CD143), and ACE2 surface markers. Results: The studied disease groups presented distinct EV signatures. LC-19 samples exhibited the most pronounced and coordinated alterations, characterized by increased levels of CD9/CD74, CD9/CX3CR1, and CD9/ACE1-positive EVs, along with reduced overall particle concentrations. Notably, platelet-derived CD9/CD41/CD61-positive EVs were significantly elevated in both LC-19 and ME/CFS, as compared to healthy controls, indicating enhanced platelet activation. Immune-associated markers revealed differential pathway activation in LC-19, with CD74-positive EVs reflecting antigen presentation and inflammatory signaling, and CX3CR1-positive EVs indicating altered leukocyte trafficking and vascular interaction. Increased ACE1-positive EVs in LC-19 further suggested a shift toward pro-inflammatory renin-angiotensin signaling. Conclusion: Collectively, these findings support a disease-specific dysregulation of platelet, immune, and vascular pathways. The integrated EV signatures distinguish LC-19 from the related chronic conditions ME/CFS and FM, highlighting the potential of EV-based profiling for differential diagnosis. Our results provide a systems-level perspective on the differential pathophysiology of these disorders and identify EV-associated markers as candidate biomarkers with clinical value.

immunology↗