Experimental models of glaucoma: A powerful translational tool for the future development of new therapies for glaucoma in humans—A review of the literature

Karine Evangelho, Claudio A. Mastronardi, Alejandra De-La-Torre

Resultado de la investigación: Contribución a una revistaArtículo de revisiónrevisión exhaustiva

7 Citas (Scopus)

Resumen

Glaucoma is a common complex disease that leads to irreversible blindness worldwide. Even though preclinical studies showed that lowering intraocular pressure (IOP) could prevent retinal ganglion cells loss, clinical evidence suggests that lessening IOP does not prevent glaucoma progression in all patients. Glaucoma is also becoming more prevalent in the elderly population, showing that age is a recognized major risk factor. Indeed, recent findings suggest that age-related tissue alterations contribute to the development of glaucoma and have encouraged exploration for new treatment approaches. In this review, we provide information on the most frequently used experimental models of glaucoma and describe their advantages and limitations. Additionally, we describe diverse animal models of glaucoma that can be potentially used in translational medicine and aid an efficient shift to the clinic. Experimental animal models have helped to understand the mechanisms of formation and evacuation of aqueous humor, and the maintenance of homeostasis of intra-ocular pressure. However, the transfer of pre-clinical results obtained from animal studies into clinical trials may be difficult since the type of study does not only depend on the type of therapy to be performed, but also on a series of factors observed both in the experimental period and the period of transfer to clinical application. Conclusions: Knowing the exact characteristics of each glaucoma experimental model could help to diminish inconveniences related to the process of the translation of results into clinical application in humans.

Idioma originalInglés estadounidense
Número de artículo267
PublicaciónMedicina (Lithuania)
Volumen55
N.º6
DOI
EstadoPublicada - jun 1 2019

All Science Journal Classification (ASJC) codes

  • Medicina (todo)

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