Identification and Validation of Functional Biomarkers for Keratoconus

March 5, 2014 updated by: Dr Rohit Shetty, Narayana Nethralaya

Identification of Disease Progression Specific Biomarkers and Their Pharmacologic Modulation for Keratoconus.

There is currently no medication for containing KC, nor any adequate biomarkers to predict the disease. Furthermore, there is considerable confusion in the field regarding the pathophysiology of the disease and involvement of inflammation. To that end, this study is designed to address some of these questions by determining the proteomic profiles of KC patients with different clinical grades. This relatively large cohort study is expected to yield significant information regarding the molecules that are deregulated during progression of KC and may provide a framework to assign diagnostic biomarkers and therapeutic intervention points.

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Detailed Description

The screening of keratoconus involves keratoconus related clinical signs like retinoscopy scissors reflex, Munson sign, stromal thinning, Vogt's striae, and Fleischer's ring, but corneal topography is the most useful method in the diagnosis of keratoconus, especially in the absence of clinical signs.

Several devices are currently available for detecting early keratoconus by measuring anterior and posterior corneal topography and elevation(Mihaltz et al. 2009; Ishii et al. 2012). Corneal topographic and tomographic techniques which generate color-coded maps and topographic indices, are the most sensitive devices for confirming the diagnosis of keratoconus(Rabinowitz 1998; Rao et al. 2002) were used for diagnosis in this study. In addition, videokeratography has been shown to identify Forme fruste keratoconus (FFKC) in the absence of clinical signs of keratoconus. Videokeratographic indices such as the Klyce/Maeda criteria, the Rabinowitz criteria, and others have been developed to quantitatively analyze videokeratography and screen for keratoconus(Rao et al. 2002). These indices have been shown to identify keratoconus with a high degree of sensitivity and specificity. The Orbscan II is a three-dimensional slit-scan topography system for analysis of the corneal surfaces and anterior chamber and has been used on all patients in the study. It uses calibrated video and a scanning slit beam to measure x, y, and z locations of several thousand points. These points are used to construct topographic maps(Rao et al. 2002). The Pentacam (Oculus Inc) is a corneal tomographer technology which generates data on topograophy and elevation of anterior and posterior using a rotating Scheimpflug camera which has also been used on all subjects enrolled in this study. Various diagnostic parameters are available for keratoconus diagnosis depending on what mode of topography is being used. Maeda and Klyce designed a system to detect keratoconus. The system, which is based on linear discriminant analysis and a binary decision tree, identifies the map as representing keratoconus or nonkeratoconus and, based on a value from the discriminant analysis (the KPI), assigns the map an index expressed as a percentage that suggests the severity of keratoconus. At this time, however, Keratoconus Severity Index (KSI) and the Amsler-Krumeich classification are the most popular methods for grading keratoconus severity(Mihaltz et al. 2009; Ishii et al. 2012). KSI is based on indices estimated by a curvature map using Placido disk-based corneal topography, and Amsler-Krumeich classification defines the stage of keratoconus using biomicroscopy, mean central keratometry reading, spherical and cylindrical refraction change, and corneal thickness(Mihaltz et al. 2009; Ishii et al. 2012). This is the index that has been used for the final gradation of keratoconus stages of all subjects in this study.

Study Type

Observational

Enrollment (Anticipated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Karnataka
      • Bangalore, Karnataka, India, 560010
        • Recruiting
        • Narayana Nethralaya
        • Contact:
        • Principal Investigator:
          • Rohit Shetty, MBBS, DNB, FRCS

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

8 years to 78 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients detected with corneal thinning by keratometry at a tertiary level hospital

Description

Inclusion Criteria:

  • Evidence of corneal thinning by any type of keratometry

Exclusion Criteria:

  • Corneal inflammation without evidence of ectasia
  • Retinal disorder subjects excluded

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Controls, Keratoconus
Sub group of Keratoconus to be treated with anti-inflammatory agents ie Cyclosporine-A
Other Names:
  • Restasis

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Keratoconus grade specific biomarker identification
Time Frame: 1 year
1 year

Secondary Outcome Measures

Outcome Measure
Time Frame
Onlabel use of anti-allergic topical treatment for inhibition of specific biomarkers to modify keratoconus disease progression
Time Frame: 2 years
2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Rohit Shetty, MBBS,DNB, FRCS, Narayana Nethralaya

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

April 1, 2013

Primary Completion (Anticipated)

December 1, 2015

Study Completion (Anticipated)

December 1, 2015

Study Registration Dates

First Submitted

December 7, 2012

First Submitted That Met QC Criteria

December 7, 2012

First Posted (Estimate)

December 11, 2012

Study Record Updates

Last Update Posted (Estimate)

March 6, 2014

Last Update Submitted That Met QC Criteria

March 5, 2014

Last Verified

December 1, 2012

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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