ReviewNature reviews. Rheumatology2025
Insights into chondrocyte populations in cartilaginous tissues at the single-cell level.
Review in Nature reviews. Rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Biomaterials for intervertebral disc regeneration: Niche reprogramming, precision therapeutics, and structural reconstruction.Bioactive materials · 2027Review
- Multi‑omics integration in osteoarthritis: Unraveling cell‑type‑specific gene‑metabolite networks for precision medicine (Review).International journal of molecular medicine · 2026Review
- From molecular networks to the clinic: a systems biology-nanomedicine roadmap for osteoarthritis diagnosis, regeneration, and safety-by-design.Discover nano · 2026Review
- A single-donor proof-of-concept single-cell analysis maps heterogeneous differentiation trajectories toward cartilage-like states in human urine-derived stem cells.Stem cell research & therapy · 2026Article
- Single-cell and spatial transcriptomics analysis of osteoarthritis: pathway regulation, cell interaction networks, and therapeutic translation.Journal of translational medicine · 2026Review
- ROS-responsive injectable hydrogel enables controlled release of human adipose tissue-derived extracellular vesicles for multifaceted osteoarthritis therapy.Journal of nanobiotechnology · 2026Article
- Next-generation therapies for osteoarthritis: the evolving role of cell therapy products.Experimental & molecular medicine · 2026Review
- Species-specific roles of cellular communication network proteins in cartilage development: A comparative study using in vitro chondrogenic models.Journal of cell communication and signaling · 2026Article
- The complexity of pain in osteoarthritis.Nature reviews. Rheumatology · 2026Review
- Role of external forces in the mechanobiology of stem and differentiated chondrogenic cells embedded in a tissue-engineered construct for cartilage repair.Journal of biomedical science · 2026Review
- A Photothermal Transducer Regulates Transmembrane Calcium Flow for Synergistic Osteoarthritis Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Emerging concepts in osteoarthritis and musculoskeletal diseases: Insights from the University of Debrecen Musculoskeletal Symposium 2025.Osteoarthritis and cartilage open · 2026Article
- Microgravity-induced transcriptional reprogramming in embryonic chicken limb bud-derived chondrogenic cultures.Frontiers in cell and developmental biology · 2026Article
- ECM remodeling features in reparative chondrocytes during knee osteoarthritis.Frontiers in endocrinology · 2026Article
- Integrative Single-Cell and Spatial Transcriptomics Identifies CRIP1Mediators of inflammation · 2026Article
- Cellular senescence in musculoskeletal diseases: biological mechanisms and clinical implications.Theranostics · 2026Review
- Podocalyxin and ciliary neurotrophic factor receptor are novel components of the surfaceome of chondrogenic cells.Cell communication and signaling : CCS · 2025Article
- Review
- The Senotherapeutic Effects of APPA (Apocynin [AP] and Paeonol [PA]) on Senescent Human Chondrocytes.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Immunohistochemical and Ultrastructural Study of the Degenerative Processes of the Hip Joint Capsule and Acetabular Labrum.Diagnostics (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chondrocyte biology is being revolutionized by single-cell multi-omics technologies, revealing cellular heterogeneity within cartilaginous tissues. Although past research has implicated cellular heterogeneity in chondrocyte populations, advances over the past decade in single-cell transcriptomics now enable a more granular, functionally annotated classification of chondrocyte subtypes. These analyses provide crucial insights into the role of these subtypes in cartilage formation, maintenance and disease progression. Chondrocyte populations are implicated in tissue homeostasis, pathogenesis and responses to external stimuli, including pro-inflammatory mediators and novel therapeutic agents. This knowledge opens pathways for developing targeted treatments for diseases such as osteoarthritis and intervertebral disc disease. Insights into the molecular signatures of disease-critical chondrocyte populations provide a foundation for biomarker discovery and therapeutic targeting, and there are exciting opportunities for leveraging these findings to progress regenerative therapies. Spatial and temporal profiling of cellular markers, behaviour and metabolic activity will enhance understanding of disease pathogenesis and chondrosenescence and could possibly enable early intervention for osteoarthritis, thereby preventing irreversible joint damage. Future research must integrate advanced single-cell techniques with computational modelling to unravel the dynamic interplay of chondrocyte populations. These efforts could transform precision medicine in rheumatology, addressing the unmet clinical needs in cartilage-related diseases.
Indexed as
Identifiers
40640375What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.