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1.
Chinese Journal of Experimental Ophthalmology ; (12): 73-77, 2022.
Artigo em Chinês | WPRIM | ID: wpr-931036

RESUMO

Age-related macular degeneration (AMD), the leading cause of central vision loss among people aged 50 years and older, is one of the major eye diseases causing blindness in the world.Clinically, advanced AMD is divided into two types, non-exudative AMD with manifestation of geographic atrophy and exudative AMD with manifestation of choroidal neovascularization.The pathogenesis of AMD is complex, and the para-inflammation is recognized as an important risk factor.Nucleotide-binding oligomerization domain like receptors 3 (NLRP3) inflammasome is a cytoplasmic pattern recognition receptor and is expressed in several kings of cells, including retinal pigment epithelium (RPE) cells, microglial cells, Müller glia cells and retinal vascular endothelial cells.Recent studies have suggested that NLRP3 inflammasome plays an important role in the pathophysiology of both non-exudative and exudative AMD.The role of the NLRP3 inflammasome and its effector cytokines interleukin (IL)-1β and IL-18 in AMD were reviewed in this article to provide guidance on future prevention and therapy of AMD.

2.
Chinese Journal of Ocular Fundus Diseases ; (6): 873-875, 2022.
Artigo em Chinês | WPRIM | ID: wpr-958537

RESUMO

Optical coherence tomography (OCT), as a high-resolution, non-invasive, in-vivo image method has been widely used in retinal field, especially in the examination of fundus diseases. Nowadays, the modality has been gradually popularized in most of the national basic-level hospitals. However, OCT is only employed as a diagnostic tool in most cases, ophthalmologists lack of awareness of further exploring the information behind the raw data. In the era of fast-developing artificial intelligence, on the basis of standardized information management, a more comprehensive OCT database should be established. Further original image processing, lesion analysis, and artificial intelligence development of OCT images will help improve the understanding level of vitreoretinal diseases among clinicians and assist ophthalmologists to make more appropriate clinical decisions.

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