ReviewFrontiers in bioengineering and biotechnology2026
What's next for osteoarthritis gene therapy?
Review in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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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Authors and funding
5 authors.
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Abstract
Interest in using gene therapy to treat osteoarthritis (OA) is growing and a number of clinical trials have been initiated. This commentary identifies three intersecting areas that need to be addressed for the field to move forward expeditiously. The first relates to lowering the cost of manufacturing clinical grade viral vectors, addressing various aspects of their deployment, and overcoming immune barriers to dosing and re-dosing. The second area requires an improved understanding of the pathophysiology of OA, including its stratification by endotype and phenotype. Coupled to the development of reliable biomarkers, this will enable the creation of personalized gene therapies, facilitate patient selection, and aid the identification of additional molecular targets. Moreover, progress in the early diagnosis of OA will enable administration of gene therapeutics at a stage when they are most likely to be successful. Finally, important issues with regard to financing and regulation are discussed. Top line data from two pivotal Phase III clinical trials are expected to be released this year. The findings from these trials will exercise considerable influence on the future development of the field.
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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.