A cell atlas of human and mouse synovium from early and advanced stages of knee osteoarthritis: BHLHE40 regulates fibroblast activation
Thavaratnam, K.; Gracey, E.; Ratneswaran, A.; Rockel, J. S.; Vohra, S.; Pastrello, C.; Stappers, F.; Planckaert, G.; Hueniken, K.; Garcia, J.; Kaur, P.; Lively, S. S.; Potla, P.; Vlieghe, C.; Rampersaud, Y. R.; Mahomed, N. N.; Victor, J.; Arnout, N.; Jurisica, I.; Gandhi, R.; Elewaut, D.; Kapoor, M.
Show abstract
Osteoarthritis (OA) is a destructive joint disease affecting multiple tissues, including synovium. Previous studies have identified some distinct fibroblast subtypes within synovium; however, the characterization of fibroblast subsets during distinct stages of knee (K)OA disease, and their contributions to the endogenous mechanisms that drive synovial fibrosis during KOA, are not well characterized. Here we profile synovium from early- (KL I) and advanced- (KL III/IV) stages of radiographic KOA. First, bulk-RNA sequencing of early- and advanced-staged KOA synovial tissue revealed transcriptomic differences between the two disease stages. Using single-nuclei RNA sequencing (snRNA-seq) and flow cytometry, we identified distinct fibroblast subsets and uncovered an endotypic shift in fibroblast subsets during KOA pathogenesis, transitioning from DPP4+ in early-stage to ITGB8+ in advanced-stages. SnRNA-seq of synovium from mice with experimental KOA revealed analogous populations of Dpp4+ and Itgb8+ fibroblasts in tissue from early and advanced model stages. Human advanced-stage KOA synovial tissue had stronger expression of matrisome-annotated genes compared to early-stage tissue. BHLHE40, a crucial transcriptional regulator of ECM related genes, was identified as upregulated in ITGB8+ fibroblasts compared to DPP4+ fibroblasts. Using primary human OA fibroblasts in vitro, and conditional knock out mice in vivo, we found that fibroblast-intrinsic loss of BHLHE40 increased fibrosis-related gene expression, enhanced fibroblast activation and induced severe synovial fibrosis in vivo. In contrast, overexpression of BHLHE40 in vitro was able to suppress TGF-{beta}-induced fibroblast activation. Overall, this study provides a comprehensive cellular atlas of KOA synovium and has identified BHLHE40 as a crucial regulator of fibroblast-mediated synovial fibrosis.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Senescent Preosteoclast Secretome Promotes Metabolic Syndrome Associated Osteoarthritis through Cyclooxygenase 2 95%
- Down-regulated GAS6 impairs synovial macrophage efferocytosis and promotes obesity-associated osteoarthritis 95%
- Cbfβ regulates Wnt/β-catenin, Hippo/Yap, and TGFβ signaling pathways in articular cartilage homeostasis and protects from ACLT surgery-induced osteoarthritis 95%
Similar papers in this journal
- ER O-glycosylation in synovial fibroblasts drives cartilage degradation 97%
- Adipocytes regulate fibroblast function, and their loss contributes to fibroblast dysfunction in inflammatory diseases 96%
- Nerve Growth Factor Receptor Limits Inflammation to Promote Remodeling and Repair of Osteoarthritic Joints 96%
Similar papers in this journal
- Joint-specific rheumatoid arthritis fibroblast-like synoviocyte regulation identified by integration of chromatin access and transcriptional activity 95%
- Loss of Fas-signaling in pro-fibrotic fibroblasts impairs homeostatic fibrosis resolution and promotes persistent pulmonary fibrosis 93%
- Subcellular spatial transcriptomics reveals immune-stromal crosstalk within the synovium of patients with juvenile idiopathic arthritis 92%
Similar papers in this journal
- Cell and Transcriptomic Diversity of Infrapatellar Fat Pad during Knee Osteoarthritis 95%
- Parsing multiomics landscape of activated synovial fibroblasts highlights drug targets linked to genetic risk of rheumatoid arthritis 94%
- Shotgun metagenomics reveals an enrichment of potentially cross-reactive bacterial epitopes in ankylosing spondylitis patients, as well as the effects of TNFi therapy and the host’s genotype upon microbiome composition 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.