Suppr超能文献

双光子激发自发荧光成像揭示的人类视网膜-脉络膜复合体中与年龄相关的结构异常。

Age-related structural abnormalities in the human retina-choroid complex revealed by two-photon excited autofluorescence imaging.

作者信息

Han Meng, Giese Guenter, Schmitz-Valckenberg Steffen, Bindewald-Wittich Almut, Holz Frank G, Yu Jiayi, Bille Josef F, Niemz Markolf H

机构信息

University of Heidelberg, Mannheim Biomedical Engineering Laboratories, Faculty of Clinical Medicine, Heidelberg, Germany.

出版信息

J Biomed Opt. 2007 Mar-Apr;12(2):024012. doi: 10.1117/1.2717522.

Abstract

The intensive metabolism of photoreceptors is delicately maintained by the retinal pigment epithelium (RPE) and the choroid. Dysfunction of either the RPE or choroid may lead to severe damage to the retina. Two-photon excited autofluorescence (TPEF) from endogenous fluorophores in the human retina provides a novel opportunity to reveal age-related structural abnormalities in the retina-choroid complex prior to apparent pathological manifestations of age-related retinal diseases. In the photoreceptor layer, the regularity of the macular photoreceptor mosaic is preserved during aging. In the RPE, enlarged lipofuscin granules demonstrate significantly blue-shifted autofluorescence, which coincides with the depletion of melanin pigments. Prominent fibrillar structures in elderly Bruch's membrane and choriocapillaries represent choroidal structure and permeability alterations. Requiring neither slicing nor labeling, TPEF imaging is an elegant and highly efficient tool to delineate the thick, fragile, and opaque retina-choroid complex, and may provide clues to the trigger events of age-related macular degeneration.

摘要

视网膜色素上皮(RPE)和脉络膜精细地维持着光感受器的旺盛代谢。RPE或脉络膜功能障碍都可能导致视网膜严重受损。人视网膜内源性荧光团的双光子激发自体荧光(TPEF)为在年龄相关性视网膜疾病出现明显病理表现之前揭示视网膜 - 脉络膜复合体中与年龄相关的结构异常提供了新契机。在光感受器层,黄斑光感受器镶嵌的规则性在衰老过程中得以保留。在RPE中,增大的脂褐素颗粒显示出自体荧光显著蓝移,这与黑色素的消耗相一致。老年Bruch膜和脉络膜毛细血管中突出的纤维状结构代表脉络膜结构和通透性改变。TPEF成像既不需要切片也不需要标记,是描绘厚、脆弱且不透明的视网膜 - 脉络膜复合体的一种精巧且高效的工具,可能为年龄相关性黄斑变性的触发事件提供线索。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验