ReviewJournal of cell communication and signaling2023
The advance of CCN3 in fibrosis.
Review in Journal of cell communication and signaling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
11 citing papers in PubMed, 12 citations in OpenAlex.
- Lysophosphatidic acid mediates skeletal muscle fibrosis in denervation via activation of YAP/TAZ.JCI insight · 2026Article
- CCN3 as a moonlighting signaling protein: a potential model for dual nuclear and extracellular functions across the CCN family.Cell communication and signaling : CCS · 2026Review
- Mouse digit AAV gene delivery into fibroblasts regulates regenerative outcome.Science advances · 2026Article
- The Relationship Between CCN3 and Rheumatoid Arthritis and Its Potential Therapeutic Value.Journal of immunology research · 2026Review
- Review
- Fibrillin-1 G234D mutation in the hybrid1 domain causes tight skin associated with dysregulated elastogenesis and increased collagen cross-linking in mice.Matrix biology : journal of the International Society for Matrix Biology · 2025Article
- Involvement of Matricellular Proteins in Cellular Senescence: Potential Therapeutic Targets for Age-Related Diseases.International journal of molecular sciences · 2024Review
- [Research advances of collagen-based biomaterials in wound repair].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2024Review
- Roles of MMP-2 and MMP-9 and their associated molecules in the pathogenesis of keloids: a comprehensive review.Frontiers in pharmacology · 2024Review
- Wound healing: insights into autoimmunity, ageing, and cancer ecosystems through inflammation and IL-6 modulation.Frontiers in immunology · 2024Review
- Blocking CCN2 Reduces Established Palmar Neuromuscular Fibrosis and Improves Function Following Repetitive Overuse Injury.International journal of molecular sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
The extracellular matrix (ECM) is comprised of various extracellular macromolecules, including collagen, enzymes, and glycoproteins, which offer structural and biochemical support to neighboring cells. After tissue injury, extracellular matrix proteins deposit in the damaged tissue to promote tissue healing. However, an imbalance between ECM production and degradation can result in excessive deposition, leading to fibrosis and subsequent organ dysfunction. Acting as a regulatory protein within the extracellular matrix, CCN3 plays a crucial role in numerous biological processes, such as cell proliferation, angiogenesis, tumorigenesis, and wound healing. Many studies have demonstrated that CCN3 can reduce the production of ECM in tissues through diverse mechanisms thereby exerting an inhibitory effect on fibrosis. Consequently, CCN3 emerges as a promising therapeutic target for ameliorating fibrosis.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.