Using genetic mouse models to gain insight into glaucoma: Past results and future possibilities.
Exp Eye Res 2015 Dec; 141:42-56.
While all forms of glaucoma are characterized by a specific pattern of retinal ganglion cell death, they are clinically divided into several distinct subclasses, including normal tension glaucoma, primary open angle glaucoma, congenital glaucoma, and secondary glaucoma. For each type of glaucoma there are likely numerous molecular pathways that control susceptibility to the disease. Given this complexity, a single animal model will never precisely model all aspects of all the different types of human glaucoma. Therefore, multiple animal models have been utilized to study glaucoma but more are needed. Because of the powerful genetic tools available to use in the laboratory mouse, it has proven to be a highly useful mammalian system for studying the pathophysiology of human disease. The similarity between human and mouse eyes coupled with the ability to use a combination of advanced cell biological and genetic tools in mice have led to a large increase in the number of studies using mice to model specific glaucoma phenotypes. Over the last decade, numerous new mouse models and genetic tools have emerged, providing important insight into the cell biology and genetics of glaucoma. In this review, we describe available mouse genetic models that can be used to study glaucoma-relevant disease/pathobiology. Furthermore, we discuss how these models have been used to gain insights into ocular hypertension (a major risk factor for glaucoma) and glaucomatous retinal ganglion cell death. Finally, the potential for developing new mouse models and using advanced genetic tools and resources for studying glaucoma are discussed. Exp Eye Res 2015 Dec; 141:42-56.
Fernandes, Kimberly A; Harder, Jeffrey M.; Williams, Pete A.; Rausch, Rebecca L; Kiernan, Amy E; Nair, K Saidas; Anderson, Michael G; John, Simon W M; Howell, Gareth R; and Libby, Richard T, "Using genetic mouse models to gain insight into glaucoma: Past results and future possibilities." (2015). Faculty Research 2015. 190.