Review of the Progress in Corneal Neovascularization Animal Models
Shuci Tian1, Shurong Wang1, Yuxi He2, Xin Liu1, Ying Li1, Guanfang Su1 & Yan Zhang1 Show affiliations
- The Second Hospital of JiLin University, China
- Norman Bethune Health Science Center of JiLin University, China
American Journal of Biochemistry and Biotechnology, Volume 11, Issue 4, pp. 221–227 · doi.org/10.3844/ajbbsp.2015.221.227
Abstract
Corneal Neovascularization (CNV), the extensive growth of blood vessels from conjunctiva into the cornea. It is a sight-threatening condition that can decreases eyesight and even leads to blindness. The pathologic growth of blood vessels impairs light transmission, promotes scar formation and causes inflammations, which harm visual acuity. Abnormal angiogenesis plays an important role in the process of CNV, which may result from corneal wound healing. Neovascular eye disease is one of the most common eye diseases in clinical admissions. CNV blinds approximately 7 million people worldwide. Continued mechanistic studies are a key to the prevention and treatment of CNV. Research in CNV animal models is essential in eye diseases. Several main methods of CNV models preparation are summarized in this review.
Licence and reuse
Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
How to reuse this articleResponses (0)
About this article
Tian, S., Wang, S., He, Y., Liu, X., Li, Y., Su, G. & Zhang, Y. (2015). Review of the Progress in Corneal Neovascularization Animal Models. American Journal of Biochemistry and Biotechnology, 11(4), 221–227. https://doi.org/10.3844/ajbbsp.2015.221.227
- Licence
- CC BY 3.0
- Issue
- Volume 11, Issue 4
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
