ReviewMolecular biology reports2026
Targeting mechanotransduction components as therapeutic strategies in osteoarthritis.
Review in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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0 citing papers in PubMed.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chondrocytes are exposed to millions of mechanical stimuli each day, making mechanotransduction central to cartilage physiology. Normal mechanical loading preserves extracellular matrix integrity and supports anabolic activity, whereas abnormal stresses shift signaling pathways toward catabolism, inflammation, and tissue degeneration, ultimately driving osteoarthritis (OA). Despite progress in pharmacological and surgical interventions, no current therapy can fully prevent or reverse OA progression. This gap underscores the importance of exploring the molecular mechanisms of mechanotransduction in search of novel disease-modifying strategies. This review highlights key mechanosensitive systems in chondrocytes—including ion channels, integrins, the cytoskeleton, primary cilia, and connexins—and discusses how their altered responses to inappropriate mechanical and inflammatory stimuli contribute to OA pathogenesis. A deeper understanding of these processes may open new avenues for targeted therapies aimed at restoring mechanical homeostasis in cartilage.
Indexed as
Identifiers
41790317What 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.