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Proliferative Vitreoretinopathy in Retinal Detachment: Perspectives on Building a Digital Twin Model Using Nintedanib. | LitMetric

AI Article Synopsis

  • Proliferative vitreoretinopathy (PVR) causes fibrotic membranes that lead to recurrent retinal detachment, with current treatment (pars plana vitrectomy) having high recurrence rates due to unresolved underlying issues.
  • There are no approved pharmacological therapies for PVR, largely because of ethical and safety concerns in preclinical and in vivo studies.
  • The review discusses the potential of computational models and Digital Twins in developing personalized treatment strategies, highlighting nintedanib as a promising drug candidate for simulating effects on fibrotic pathways.

Article Abstract

Proliferative vitreoretinopathy (PVR) is a pathological process characterized by the formation of fibrotic membranes that contract and lead to recurrent retinal detachment. Pars plana vitrectomy (PPV) is the primary treatment, but recurrence rates remain high, as surgery does not address the underlying molecular mechanisms driving fibrosis. Despite several proposed pharmacological interventions, no approved therapies exist, partly due to challenges in conducting preclinical and in vivo studies for ethical and safety reasons. This review explores the potential of computational models and Digital Twins, which are increasingly gaining attention in medicine. These tools could enable the development of progressively complex PVR models, from basic simulations to patient-specific Digital Twins. Nintedanib, a tyrosine kinase inhibitor targeting PDGFR, VEGFR, and FGFR, is presented as a prototype for computational models to simulate its effects on fibrotic pathways in virtual patient cohorts. Although still in its early stages, the integration of computational models and Digital Twins offers promising avenues for improving PVR management through more personalized therapeutic strategies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11507981PMC
http://dx.doi.org/10.3390/ijms252011074DOI Listing

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