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Purpose: To evaluate a new experimental model of suture-induced corneal neovascularization (NV) for angiogenesis research. Methods: The new model was created in the right eye of 20 New Zealand rabbits using 5 interrupted silk sutures following an inverted triangle pattern. At different time points after suture placement, calibrated photographs were taken to quantify the corneal surface covered by the sutures (SCS) and the corneal NV response. At the end of the experiment, the corneas were processed for histological study. Results: Vascular sprouts were already observed on the 3rd day. On the 7th day, the mean corneal NV surface was 19.02 ± 4.65 mm(2). On the 14th day, the mean corneal NV surface increased up to 28.96 ± 6.33 mm(2), representing 112.18% of the SCS and 21.04% of the total corneal surface. Histological sections showed that the new vessels were located at the two anterior thirds of the corneal stroma with an intense inflammatory infiltration. Conclusion: Our results indicate that this experimental model is effective, reliable and reproducible to induce corneal NV for angiogenesis research.
Department of Ophthalmology, Virgen de los Lirios Hospital, Alcoy, Spain.
This article was published in the following journal.
Name: Ophthalmic research
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A TIE receptor tyrosine kinase that is found almost exclusively on ENDOTHELIAL CELLS. It is required for both normal embryonic vascular development (NEOVASCULARIZATION, PHYSIOLOGIC) and tumor angiogenesis (NEOVASCULARIZATION, PATHOLOGIC).
The species Oryctolagus cuniculus, in the family Leporidae, order LAGOMORPHA. Rabbits are born in burrows, furless, and with eyes and ears closed. In contrast with HARES, rabbits have 22 chromosome pairs.
Theoretical models simulating behavior or activities in nursing, including nursing care, management and economics, theory, assessment, research, and education. Some examples of these models include Orem Self-Care Model, Roy Adaptation Model, and Rogers Life Process Model.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
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