The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Distinct fibroblast subsets drive inflammation and damage in arthritis
Open accessAbstract
The identification of lymphocyte subsets with non-overlapping effector functions has been pivotal to the development of targeted therapies in immune-mediated inflammatory diseases (IMIDs)1,2. However, it remains unclear whether fibroblast subclasses with non-overlapping functions also exist and are responsible for the wide variety of tissue-driven processes observed in IMIDs, such as inflammation and damage 3-5. Here we identify and describe the biology of distinct subsets of fibroblasts responsible for mediating either inflammation or tissue damage in arthritis. We show that deletion of fibroblast activation protein-α (FAPα)+ fibroblasts suppressed both inflammation and bone erosions in mouse models of resolving and persistent arthritis. Single-cell transcriptional analysis identified two distinct fibroblast subsets within the FAPα+ population: FAPα+THY1+ immune effector fibroblasts located in the synovial sub-lining, and FAPα+THY1- destructive fibroblasts restricted to the synovial lining layer. When adoptively transferred into the joint, FAPα+THY1- fibroblasts selectively mediate bone and cartilage damage with little effect on inflammation, whereas transfer of FAPα+ THY1+ fibroblasts resulted in a more severe and persistent inflammatory arthritis, with minimal effect on bone and cartilage. Our findings describing anatomically discrete, functionally distinct fibroblast subsets with non-overlapping functions have important implications for cell-based therapies aimed at modulating inflammation and tissue damage.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“While single-cell sequencing indicates common traits are preserved49–51, it will become increasingly pressing to define common and specific effects of CAFs.”
From A framework for advancing our understanding of cancer-associated fibroblasts (2020) · cites this paper as [50]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Overwhelming evidence now points to a degree of specialization among CAFs, which may reflect the increasingly appreciated specialization of normal fibroblasts19,50.”
From A framework for advancing our understanding of cancer-associated fibroblasts (2020) · cites this paper as [50]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Recent studies have implicated a range of mesenchymal progenitor cells (MPs) in the initiation and propagation of fibrosis28–30.”
From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [28]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174
Aletaha, D., Neogi, T., Silman, A. J., Funovits, J., Felson, D. T., Bingham, C. O., Birnbaum, N. S., Burmester, G. R., Bykerk, V. P., Cohen, M. D., et al. (2010) · Arthritis & Rheumatism · doi:10.1002/art.27584 · Cited by 9,631
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
Street, K., Risso, D., Fletcher, R. B., Das, D., Ngai, J., Yosef, N., Purdom, E., & Dudoit, S. (2018) · BMC Genomics · doi:10.1186/s12864-018-4772-0 · Cited by 3,159
Zhang, F., Wei, K., Slowikowski, K., Fonseka, C. Y., Rao, D. A., Kelly, S., Goodman, S. M., Tabechian, D., Hughes, L. B., Salomon-Escoto, K., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0378-1 · Cited by 1,372
Self-citationGAGE: generally applicable gene set enrichment for pathway analysis
Luo, W., Friedman, M. S., Shedden, K., Hankenson, K. D., & Woolf, P. J. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-161 · Cited by 1,333
Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma
Tirosh, I., Venteicher, A. S., Hebert, C. M., Escalante, L. E., Patel, A. P., Yizhak, K., Fisher, J. M., Rodman, C., Mount, C., Filbin, M. G., et al. (2016) · Nature · doi:10.1038/nature20123 · Cited by 1,245
Synovitis score: discrimination between chronic low‐grade and high‐grade synovitis
Krenn, V., Morawietz, L., Burmester, G. R., Kinne, R. W., Müeller-Ladner, U., Müller, B., & Häupl, T. (2006) · Histopathology · doi:10.1111/j.1365-2559.2006.02508.x · Cited by 844
Functionally distinct disease-associated fibroblast subsets in rheumatoid arthritis
Mizoguchi, F., Slowikowski, K., Wei, K., Marshall, J. L., Rao, D. A., Chang, S. K., Nguyen, H., Noss, E. H., Turner, J. D., Earp, B. E., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-02892-y · Cited by 599
Self-citationRheumatoid arthritis therapy reappraisal: strategies, opportunities and challenges
Smolen, J. S., & Aletaha, D. (2015) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2015.8 · Cited by 475
Fibroblast biology. Role of synovial fibroblasts in the pathogenesis of rheumatoid arthritis.
Pap, T., Müller-Ladner, U., Gay, R. E., & Gay, S. (2000) · Arthritis Research · doi:10.1186/ar113 · Cited by 472
Roberts, E. W., Deonarine, A., Jones, J. O., Denton, A. E., Feig, C., Lyons, S. K., Espéli, M., Kraman, M., McKenna, B., Wells, R. J. B., et al. (2013) · The Journal of Experimental Medicine · doi:10.1084/jem.20122344 · Cited by 428
Self-citationBaker, K. F., & Isaacs, J. D. (2017) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2017-211555 · Cited by 383
Stephenson, W., Donlin, L. T., Butler, A., Rozo, C. T., Bracken, B., Rashidfarrokhi, A., Goodman, S. M., Ivashkiv, L. B., Bykerk, V. P., Orange, D. E., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02659-x · Cited by 370
Sinha, R., Stanley, G., Gulati, G. S., Ezran, C., Travaglini, K. J., Wei, E., Chan, C. K. F., Nabhan, A. N., Su, T., Morganti, R. M., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/125724 · Cited by 206
Animal models for arthritis: innovative tools for prevention and treatment
Kollias, G. A., Papadaki, P., Apparailly, F., Vervoordeldonk, M. J., Holmdahl, R., Baumans, V., Desaintes, C., Santo, J. P. D., Distler, J. H. W., Garside, P., et al. (2011) · Annals of the Rheumatic Diseases · doi:10.1136/ard.2010.148551 · Cited by 205
Zhang, F., Wei, K. S., Slowikowski, K., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/351130 · Cited by 149
Self-citationSclerostin inhibition promotes TNF-dependent inflammatory joint destruction
Wehmeyer, C., Frank, S., Beckmann, D., Böttcher, M., Cromme, C., König, U., Fennen, M., Held, A., Paruzel, P., Hartmann, C., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aac4351 · Cited by 141
Self-citationThe fibroblast as a therapeutic target in rheumatoid arthritis
Filer, A. D. (2013) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2013.02.006 · Cited by 134
Self-citationMethods for high-dimensional analysis of cells dissociated from cryopreserved synovial tissue
Donlin, L. T., Rao, D. A., Wei, K., Slowikowski, K., McGeachy, M. J., Turner, J. D., Meednu, N., Mizoguchi, F., Gutiérrez‐Arcelus, M., Lieb, D., et al. (2018) · Arthritis Research & Therapy · doi:10.1186/s13075-018-1631-y · Cited by 125
Self-citationCroft, A. P., Naylor, A. J., Marshall, J. L., Hardie, D. L., Zimmermann, B., Turner, J. D., Desanti, G. E., Adams, H., Yemm, A. I., Müller‐Ladner, U., et al. (2016) · Arthritis Research & Therapy · doi:10.1186/s13075-016-1156-1 · Cited by 109
Self-citationThe role of resident synovial cells in destructive arthritis
Ospelt, C., & Gay, S. (2008) · Best Practice & Research Clinical Rheumatology · doi:10.1016/j.berh.2008.01.004 · Cited by 88
Tissue stroma as a regulator of leukocyte recruitment in inflammation
McGettrick, H. M., Butler, L. M., Buckley, C. D., Rainger, G. E., & Nash, G. B. (2012) · Journal of Leukocyte Biology · doi:10.1189/jlb.0911458 · Cited by 87
Self-citationGerlag, D. M., Norris, J. M., & Tak, P. P. (2015) · Rheumatology · doi:10.1093/rheumatology/kev347 · Cited by 85
Ross, E. A., Naylor, A. J., O’Neil, J. D., Crowley, T., Ridley, M. L., Crowe, J., Smallie, T., Tang, T., Turner, J. D., Norling, L. V., et al. (2016) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2016-209424 · Cited by 83
Self-citationIdentification of a transitional fibroblast function in very early rheumatoid arthritis
Filer, A. D., Ward, L. S. C., Kemble, S., Davies, C. S., Munir, H., Rogers, R., Raza, K., Buckley, C. D., Nash, G. B., & McGettrick, H. M. (2017) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2017-211286 · Cited by 75
Self-citationChoi, I. Y. K., Karpus, O. N., Turner, J. D., Hardie, D. L., Marshall, J. L., de Hair, M. J. H., Maijer, K. I., Tak, P. P., Raza, K., Hamann, J., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182751 · Cited by 55
Self-citation
Cited by
Sorted by citations
A framework for advancing our understanding of cancer-associated fibroblasts
Sahai, E., Astsaturov, I., Cukierman, E., DeNardo, D. G., Egeblad, M., Evans, R. M., Fearon, D., Greten, F. R., Hingorani, S. R., Hunter, T., et al. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-019-0238-1 · Cited by 3,863
Self-citationFibrosis: from mechanisms to medicines
Henderson, N. C., Rieder, F., & Wynn, T. A. (2020) · Nature · doi:10.1038/s41586-020-2938-9 · Cited by 1,868
Pattern recognition receptors in health and diseases
Li, D., & Wu, M. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00687-0 · Cited by 1,961
Diversity and biology of cancer-associated fibroblasts
Biffi, G., & Tuveson, D. A. (2021) · Physiological Reviews · doi:10.1152/physrev.00048.2019 · Cited by 1,265
Cross-tissue organization of the fibroblast lineage
Buechler, M. B., Pradhan, R., Krishnamurty, A. T., Cox, C. B., Calviello, A. K., Wang, A. W., Yang, Y. A., Tam, L., Caothien, R. H., Roose‐Girma, M., et al. (2021) · Nature · doi:10.1038/s41586-021-03549-5 · Cited by 1,100
Metadata
- Authors
- Croft, A. P., Campos, J., Jansen, K., Turner, J. D., Marshall, J., Attar, M., Savary, L., Wehmeyer, C., Naylor, A. J., Kemble, S., Begum, J., Dürholz, K., Perlman, H., Barone, F., McGettrick, H. M., Fearon, D. T., Wei, K., Raychaudhuri, S., Korsunsky, I., Brenner, M. B., Coles, M., Sansom, S. N., Filer, A., & Buckley, C. D.
- Affiliations
- Queen Elizabeth Hospital Birmingham (GB)
- University of Oxford (GB)
- University of Münster (DE)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Northwestern University (US)
- Cold Spring Harbor Laboratory (US)
- Brigham and Women's Hospital (US)
- University Hospitals Birmingham NHS Foundation Trust (GB)
- Corresponding author
- Buckley, Christopher D.
- ORCID
- Croft, Adam P.
- Campos, Joana
- Jansen, Kathrin
- Turner, Jason D.
- Marshall, Jennifer
- Attar, Moustafa
- Wehmeyer, Corinna
- Naylor, Amy J.
- Kemble, Samuel
- Begum, Jenefa
- Perlman, Harris
- Barone, Francesca
- McGettrick, Helen M.
- Fearon, Douglas T.
- Wei, Kevin
- Raychaudhuri, Soumya
- Korsunsky, Ilya
- Brenner, Michael B.
- Coles, Mark
- Sansom, Stephen N.
- Filer, Andrew
- Buckley, Christopher D.
- Venue
- Nature
- Published
- 2019-05-29
- Volume
- 570
- Issue
- 7760
- Pages
- 246-251
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6690841
- OpenAlex
- W2944564829
- Cited by
- 976
- References
- 28
- Citations by year
- 2026: 147 · 2025: 144 · 2024: 137 · 2023: 134 · 2022: 128 · 2021: 153 · 2020: 94 · 2019: 36
- FWCI
- 78.26
- Type
- journal article
- Language
- en
- Update notices
- correction (2025-12-12)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion, other-oa)
- Funders
- Wellcome Trust (WT104551MA)
- Kennedy Trust for Rheumatology Research (KENN161701, KENN161703)
- National Institute for Health and Care Research (bircrf-2012-1, NF-SI-0617-10128, CL-2018-09-001)
- Academy of Medical Sciences (SGL021\1029)
- Versus Arthritis (19791, 21743, 20015, 14476, 19899, 18547, 21236)
- National Institutes of Health (5r01ar063759-07)
- Medical Research Council (MR/S025308/1, MR/N026977/1)
- National Heart, Lung, and Blood Institute (R01HL134375)
- National Human Genome Research Institute (U01HG009379)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (UH2AR067677, R01-AR063759)
- Topics
- Health Sciences › Medicine › Rheumatology › Rheumatoid Arthritis Research and Therapies
- Health Sciences › Medicine › Rheumatology › Osteoarthritis Treatment and Mechanisms
- Health Sciences › Medicine › Complementary and alternative medicine › Natural Compounds in Disease Treatment
- Keywords
- arthritis, fibroblast activation protein, CD90, synovial lining, bone erosion, cartilage damage, joint inflammation, tissue damage, adoptive transfer, immune-mediated inflammatory diseases
- MeSH terms
- RNA-Seq, Fibroblast Activation Protein Alpha, Animals, Arthritis, Rheumatoid, Bone and Bones, Female, Fibroblasts, Humans, Inflammation, Joints, Male, Membrane Proteins, Endopeptidases, Serine Endopeptidases, Synovial Membrane, Gelatinases, Thy-1 Antigens, Mice, Single-Cell Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review