June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Validation of an Advanced Keratography Unit to Measure Dry Eye Disease in an Animal Model - Implications for Clinical Use
Author Affiliations & Notes
  • Brian Wollocko
    Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States
  • Michael Wolek
    Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States
  • Liqun Huang
    Department of Medicine, Stony Brook University Hospital, Stony Brook, New York, United States
  • Wei Huang
    Department of Ophthalmology, Second Xiangya Hospital, Changsha, Hunan, China
    Department of Ophthalmology, Stony Brook University Hospital, Stony Brook, New York, United States
  • Konstantinos Tourmouzis
    Barts and The London School of Medicine and Dentistry, London, United Kingdom
    Department of Ophthalmology, Stony Brook University Hospital, Stony Brook, New York, United States
  • Basil Rigas
    Department of Family, Population, and Preventive Medicine, Stony Brook University Hospital, Stony Brook, New York, United States
    Department of Ophthalmology, Stony Brook University Hospital, Stony Brook, New York, United States
  • Robert Honkanen
    Department of Ophthalmology, Stony Brook University Hospital, Stony Brook, New York, United States
  • Footnotes
    Commercial Relationships   Brian Wollocko None; Michael Wolek None; Liqun Huang None; Wei Huang None; Konstantinos Tourmouzis None; Basil Rigas None; Robert Honkanen None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 1995 – A0325. doi:
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      Brian Wollocko, Michael Wolek, Liqun Huang, Wei Huang, Konstantinos Tourmouzis, Basil Rigas, Robert Honkanen; Validation of an Advanced Keratography Unit to Measure Dry Eye Disease in an Animal Model - Implications for Clinical Use. Invest. Ophthalmol. Vis. Sci. 2022;63(7):1995 – A0325.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Dry Eye Disease (DED) is a common condition whose pathophysiology and treatment are still actively being researched. Absence of a universally accepted animal model for DED research poses a barrier to further development of our understanding. All animal models have limitations in how they translate to the human condition in both disease physiology and assessment. Here we show the ability of an advanced keratography unit (AKU) already used in clinical practice to effectively measure DED status in rabbits.

Methods : Numerous measures of DED using an advanced keratography unit (AKU) were made before and after DED was induced in 15 New Zealand White (NZW) and 4 Dutch Belted (DB) rabbits with concanavalin A. Standard DED measures included first and average non-invasive keratographic break-up time (NIKBUT), tear meniscus height (TMH), meibomography, and Tearfilm dynamic (TFD). Other measures included palpebral fissure height (PFH), temporal angle size (TAS), and corneal irregularity (CI). A normative dataset for parameters in each species was created.

Results : First and average NIKBUT, PFH, and TAS (9.14±5.48, 17.14±2.94, 10.7±1.0, 122 ± 10 respectively) significantly decreased following DED induction (4.54±2.63, 12.93±3.33, 7.1±3.0, 81±32 respectively; all p<0.001). TMH (0.21±0.03) and CI (0.021± 0.008 ) both increased (0.27±0.09, 0.040±0.017 respectively; both p<0.003) after DED induction. The data were similar if looking at DB and NZW groups separately. Meibomography and TFD were not useful discriminating DED.

Conclusions : We present normative data values for a panel of DED and other metrics collected with an AKU. Statistically significant changes in the expected direction were observed for NIKBUT, PFH, TAS and CI following induction of DED. The significant change in TMH was in the wrong direction suggesting other compensatory responses are occurring. The results indicate this AKU (Oculus Keratograph 5M) can measure DED status in this rabbit model. AKU technology has potential to improve diagnostic capability in DED research using rabbit models. This non-invasive, objective quantification of DED can improve translational research allowing for improved fidelity between methods of DED assessment in rabbit and human DED. Such benefits may be especially useful in studies new pharmacologic treatments for DED.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

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