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

Int J Mol Sci. 2024 Oct 15;25(20):11074. doi: 10.3390/ijms252011074.

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.

Keywords: computational models; digital twin; fibrosis; nintedanib; ophthalmology; personalized medicine; proliferative vitreoretinopathy; retinal detachment; signaling pathways.

Publication types

  • Review

MeSH terms

  • Animals
  • Computer Simulation
  • Humans
  • Indoles* / pharmacology
  • Indoles* / therapeutic use
  • Protein Kinase Inhibitors / pharmacology
  • Protein Kinase Inhibitors / therapeutic use
  • Retinal Detachment*
  • Vitreoretinopathy, Proliferative* / drug therapy
  • Vitreoretinopathy, Proliferative* / metabolism

Substances

  • nintedanib
  • Indoles
  • Protein Kinase Inhibitors

Grants and funding

This research received no external funding.