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Application of Metagenomic Deep Sequencing (MDS) to Identify an Infectious Etiology for Iridocorneal Endothelial (ICE) Syndrome

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Posterboard#: B0312

Abstract Number: 834 - B0312

AuthorBlock: Plern Sutra1, Jennifer Rose-Nussbaumer1, John Alexander Gonzales1, Kaidi Wang1, Armin Hinterwirth1, Gerami Seitzman1, Nisha Acharya1, Thuy Doan1
1Ophthalmology, Proctor Foundation/UCSF, San Francisco, California, United States;

DisclosureBlock: Plern Sutra, None; Jennifer Rose-Nussbaumer, None; John Alexander Gonzales, None; Kaidi Wang, None; Armin Hinterwirth, None; Gerami Seitzman, None; Nisha Acharya, None; Thuy Doan, None;

Iridocorneal endothelial (ICE) syndrome is a group of rare ocular conditions that are a
result of abnormal corneal endothelial cells leading to secondary glaucoma, iris distortions, and
corneal edema. The etiology of ICE is unclear although it has been associated with herpes
simplex virus (HSV) and Epstein-Barr Virus (EBV). In this study, we sought to identify an
infectious etiology for ICE using metagenomic RNA sequencing (MDS).

This study adhered to the tenets of the Declaration of Helsinki. The Institutional
Review Board of the University of California, San Francisco (UCSF) approved the study, and
informed consent was obtained from all patients. Corneal endothelial tissue or aqueous fluid
from patients with ICE was subjected to metagenomic RNA sequencing. MDS is a high-
throughput sequencing approach that has the potential to identify all pathogens in any clinical
sample, including RNA viruses. Sequencing reads were processed and analyzed using an in-
house pipeline.

Samples from two ICE patients were analyzed. MDS was performed on the aqueous
fluid of both patients and the Descemet membrane and endothelial cell tissue from one patient.
Viral pathogens were not identified in any of the samples.

We were unable to identify a viral etiology in the tissues of patients with ICE,
although this study was limited by sample size.

Layman Abstract (optional): Provide a 50-200 word description of your work that non-scientists can understand. Describe the big picture and the implications of your findings, not the study itself and the associated details.