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精准医学在青光眼领域的应用:人工智能、生物标志物、遗传学与氧化还原状态

Precision Medicine in Glaucoma: Artificial Intelligence, Biomarkers, Genetics and Redox State.

机构信息

Department of Ophthalmology, University of Turin, Via Cherasco 23, 10126 Turin, Italy.

出版信息

Int J Mol Sci. 2023 Feb 1;24(3):2814. doi: 10.3390/ijms24032814.

Abstract

Glaucoma is a multifactorial neurodegenerative illness requiring early diagnosis and strict monitoring of the disease progression. Current exams for diagnosis and prognosis are based on clinical examination, intraocular pressure (IOP) measurements, visual field tests, and optical coherence tomography (OCT). In this scenario, there is a critical unmet demand for glaucoma-related biomarkers to enhance clinical testing for early diagnosis and tracking of the disease's development. The introduction of validated biomarkers would allow for prompt intervention in the clinic to help with prognosis prediction and treatment response monitoring. This review aims to report the latest acquisitions on biomarkers in glaucoma, from imaging analysis to genetics and metabolic markers.

摘要

青光眼是一种多因素的神经退行性疾病,需要早期诊断和严格监测疾病的进展。目前的诊断和预后检查基于临床检查、眼压(IOP)测量、视野测试和光学相干断层扫描(OCT)。在这种情况下,对与青光眼相关的生物标志物存在迫切的需求,以增强临床检测,实现早期诊断和疾病发展的跟踪。引入经过验证的生物标志物将有助于在临床上进行及时干预,以帮助预测预后和监测治疗反应。本综述旨在报告青光眼生物标志物的最新进展,包括从影像学分析到遗传学和代谢标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52ad/9917798/61389f80e12a/ijms-24-02814-g001.jpg

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