Retinal Assessment Using In Vivo Electroretinography and Optical Coherence Tomography in Rodent Models of Diabetes.

Autor:	Zhao D; Department of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia., Lee PY; Department of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia., Wong VHY; Department of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia., Nishimura T; Department of Ophthalmology, Dokkyo Medical University Saitama Medical Center, Saitama, Japan., Hoang A; Department of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia., Tran KKN; Department of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia., van Koeverden AK; Department of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia., Afiat BC; Department of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia., Nguyen CTO; Department of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia., Bui BV; Department of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia. bvb@unimelb.edu.au.
Jazyk:	angličtina
Zdroj:	Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2023; Vol. 2678, pp. 37-48.
DOI:	10.1007/978-1-0716-3255-0_4
Abstrakt:	Electroretinography and optical coherence tomography imaging allow for non-invasive quantitative assessment of the retina. These approaches have become mainstays for identifying the very earliest impact of hyperglycemia on retinal function and structure in animal models of diabetic eye disease. Moreover, they are essential for assessing the safety and efficacy of novel treatment approaches for diabetic retinopathy. Here, we describe approaches for in vivo electroretinography and optical coherence tomography imaging in rodent models of diabetes. (© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze:	MEDLINE
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