Molecular Imaging of Retinal Endothelial Injury in Diabetic Animals

糖尿病动物视网膜内皮损伤的分子成像

阅读:9
作者:Sonja Frimmel, Souska Zandi, Dawei Sun, Zhongyu Zhang, Alexander Schering, Mark I Melhorn, Shintaro Nakao, Ali Hafezi-Moghadam

Conclusion

Results indicate that molecular imaging can be used to detect subtle changes in the diabetic retina prior to the occurrence of irreversible pathology. Thus, ICAM-1 could serve as a diagnostic target in patients with diabetes. This study provides a proof of principle for non-invasive subclinical diagnosis in experimental diabetic retinopathy. Further development of this technology could improve management of diabetic complications.

Methods

To quantify the expression of endothelial surface molecules, we generated imaging probes that bind to ICAM-1. The α-ICAM-1 probes were characterized via flow cytometry under microfluidic conditions. Probes were systemically injected into normal and diabetic rats, and their adhesion in the retinal microvessels was visualized via confocal scanning laser ophthalmoscopy. Histology was performed to validate in vivo imaging

Purpose

Diabetic retinopathy is a leading cause of vision loss. There is a great need for early diagnosis prior to the occurrence of irreversible structural damages. Expression of endothelial adhesion molecules is observed before the onset of diabetic vascular damage; however, to date, these molecules cannot be visualized in vivo.

Results

The α-ICAM-1 probes showed significantly higher adhesion to retinal microvessels in diabetic rats than in normal controls (P < 0.01), whereas binding of control probes did not differ between the two groups. Western blotting results showed higher ICAM-1 expression in retinas of T1D animals than in normal controls. Retinal endothelial ICAM-1 expression was observed via molecular imaging before markers of structural damage, such as pericyte ghosts and acellular capillaries.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。