Related Experiment Video

Updated: Jul 3, 2026

Three Different Protocols of Corneal Collagen Crosslinking in Keratoconus: Conventional, Accelerated and Iontophoresis
07:29

Three Different Protocols of Corneal Collagen Crosslinking in Keratoconus: Conventional, Accelerated and Iontophoresis

Published on: November 12, 2015

19.8K

Experimental models for keratoconus: Insights and challenges

Sujithra Shankar1, Rashmi Deshmukh2, Tejaswini Pingali1

  • 1Centre for Ocular Regeneration (CORE), Prof. Brien Holden Eye Research Centre (BHERC), L V Prasad Eye Institute, Hyderabad, India.

Experimental Eye Research
|October 12, 2024
PubMed

Insights

This review explores advanced keratoconus experimental models, highlighting rabbit models for surgical research. These models aid understanding disease mechanisms and developing new corneal treatments.

Area of Science:

  • Ophthalmology
  • Corneal Diseases
  • Translational Research

Background:

  • Keratoconus is a progressive corneal disorder causing thinning and protrusion due to collagen degradation.
  • Current mouse and rat models are limited for studying surgical interventions like deep anterior lamellar keratoplasty (DALK).

Purpose of the Study:

  • To review recent advancements in experimental keratoconus models.
  • To assess their potential for translational research and identify challenges.

Main Methods:

  • Comprehensive review of historical and recent experimental models for keratoconus.
  • Focus on animal-based models, particularly rabbits, for mimicking keratoconic biomechanical and biochemical alterations.

Main Results:

  • Advancements in experimental models, especially in rabbits, allow better mimicry of keratoconus.
  • These models facilitate research into disease mechanisms and therapeutic strategies.

Conclusions:

  • Newer models, particularly rabbit models, show promise for translational research in keratoconus.
  • Challenges persist in translating experimental findings into clinical applications for keratoconus treatment.
Keywords:
Animal modelCollagenCollagenaseCorneaKeratoconusOcular surfaceRabbit

More Related Videos

Development of a Noninvasive, Laser-Assisted Experimental Model of Corneal Endothelial Cell Loss06:23

Development of a Noninvasive, Laser-Assisted Experimental Model of Corneal Endothelial Cell Loss

Published on: April 24, 2020

5.4K
Author Spotlight: Advancing Corneal Innervation Research Through Innovative Models06:10

Author Spotlight: Advancing Corneal Innervation Research Through Innovative Models

Published on: December 8, 2023

1.5K

Related Concept Videos

Goodness-of-Fit Test01:16

Goodness-of-Fit Test

The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with data...
Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
Typical Model Studies01:30

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
First Derivative Test: Problem Solving01:25

First Derivative Test: Problem Solving

Imagine an asset price that crashes to a low point, rebounds sharply as bargain-hunters step in, and then gradually declines. Such behavior can be modeled with a smooth function whose turning points represent locally overvalued and undervalued regions. A convenient example that captures rebound followed by decay is:The high and low points of this curve are identified using the first derivative test, which determines where the function changes from increasing to decreasing or vice versa. To...