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模拟人类青光眼:来自体外模型的经验教训。

Modeling Human Glaucoma: Lessons from the in vitro Models.

作者信息

Aires Inês Dinis, Ambrósio António Francisco, Santiago Ana Raquel

机构信息

Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.

出版信息

Ophthalmic Res. 2017;57(2):77-86. doi: 10.1159/000448480. Epub 2016 Sep 13.

Abstract

Glaucoma, a leading cause of blindness worldwide, is a degenerative disease characterized by retinal ganglion cell (RGC) loss and optic nerve atrophy. Elevated intraocular pressure (IOP) is a main risk factor for onset and progression of the disease. Since increased IOP is the only modifiable risk factor, relevant models for glaucoma would comprise RGC and optic nerve damage triggered by ocular hypertension. Animal models of glaucoma have greatly contributed to the understanding of the molecular mechanisms of this pathology, and they have also facilitated the development of new pharmacological interventions. Although animal models of glaucoma have provided valuable information about the disease, there is still no ideal model for studying glaucoma due to its complexity. There is a recognized demand for in vitro models that can replace or reduce the need for animal experiments. Several in vitro models have emerged as a great opportunity in the field of glaucoma research, helping to clarify the mechanisms involved in disease progression. Several types of equipment have been developed to expose cells and tissue cultures to elevated pressures. Herein, we discuss the methodology used to increase pressure, the main findings, and the relevance of in vitro models for the study of the pathophysiology of glaucoma.

摘要

青光眼是全球失明的主要原因之一,是一种以视网膜神经节细胞(RGC)丢失和视神经萎缩为特征的退行性疾病。眼压升高是该疾病发生和进展的主要危险因素。由于眼压升高是唯一可改变的危险因素,因此青光眼的相关模型将包括由高眼压引发的RGC和视神经损伤。青光眼动物模型极大地促进了对该病理分子机制的理解,也推动了新药物干预措施的开发。尽管青光眼动物模型为该疾病提供了有价值的信息,但由于其复杂性,目前仍没有用于研究青光眼的理想模型。人们公认需要能够替代或减少动物实验需求的体外模型。几种体外模型已成为青光眼研究领域的重大机遇,有助于阐明疾病进展所涉及的机制。已经开发了几种类型的设备,用于使细胞和组织培养物暴露于高压环境。在此,我们讨论用于增加压力的方法、主要发现以及体外模型在青光眼病理生理学研究中的相关性。

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