Case Series: Unbiased Deep Sequencing Analysis of Acute Infectious Conjunctivitis in an Ambulatory Eye Center in Berkeley, California

Kuniyoshi Kanai*, Meredith Whiteside, Michael Wong, Tammy La, Maryam Nassiri, Sam Lee, Sze Kei Yeung, Adrienne Coulter, Mareena Roufail, Kevin Ruder, Cindi Chen, David Liu, Thomas Abraham, Armin Hinterwirth, Thomas M. Lietman, Thuy Doan, Gerami D. Seitzman, Lalitha Prajna, N. Venkatesh Prajna, Ramesh GunasekaranSankalp Singh Sharma, Vishnu Teja, Meenu Chaudhary, Sanjeeta Sitaula, Ali Sié, Boubacar Coulibaly, Mamadou Bountogo, Thanapong Somkijrungroj, Vannarut Satitpitakul, Huy Tran, Linh Hoàng Mai, Tho H. Xuân, Yen Tran, Cristhian A. Urzua, Fabian Vega, Felipe Salgado, Loreto Cuitino, Fernando Pérez Pérez, Jaime MacÍas Martínez, Van Charles Lansingh, Sukhumal Thanapaisal, Wipada Laovirojjanakul, George McKie, Kenia Chavez, Travis Redd, Winston Chamberlain, Angel Cheng, Vivien Tham, Wiwan Sansanayudh, Abba Kaka Hajia Yakoura, Abdou Amza, Abdoul Salam Youssoufou Souley, Adam Nouhou Diori, Beido Nassirou, Boubacar Kadri, Boubacar Mariama, Cissé Mamadou Ibrahim, Lamyne Aboubacar Roufaye, Ramatou Boulhassane, Saley Ali, Zakou Abdou, Lee Goren, Ruti Sella, Clare Kelliher, Laura Green, Hon Shing Ong, Jod Mehta, Yu Chi Liu, Benjamin A. Pinsky, De Kuang Hwang, Nai Wen Fan, Hong Sheng Chiong, Javier Lacorzana, Maria Cabrera-Aguas, Stephanie Watson, Edmund Tsui, Joana Ramirez, Nina M. Cherian, Rachel Feit-Leichman, Reginald E. Hughes, Tania Onclinx, Carol Yu, Esmeralda McClean, Iliana Molina, Armin Hinterwirth, Cindi Chen, Danny Yu, David Liu, Elodie Lebas, Emily Colby, Gerami Seitzman, Kevin Ruder, Lina Zhong, Michael Deiner, Thomas Abraham, Thomas Lietman, Thuy Doan, Travis Porco, Stephen McLeod, Kuniyoshi Kanai*, Meredith Whiteside, Steven Yeh, Tolulope Fashina, James Chodosh, Bridgit Tarkap, Jambi N. Garap, Magdalene Mangot, Edwin Amel, Fasihah Taleo, Johnson Kasso, Kalbule Willie, Madopule Nanu, Prudence Rymill, Anthony W. Solomon

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

SIGNIFICANCE Acute infectious conjunctivitis poses significant challenges to eye care providers. It can be highly transmissible, and because etiology is often presumed, correct treatment and management can be difficult. This study uses unbiased deep sequencing to identify causative pathogens of infectious conjunctivitis, potentially allowing for improved approaches to diagnosis and management. PURPOSES This study aimed to identify associated pathogens of acute infectious conjunctivitis in a single ambulatory eye care center. CASE REPORTS This study included patients who presented to the University of California Berkeley eye center with signs and symptoms suggestive of infectious conjunctivitis. From December 2021 to July 2021, samples were collected from seven subjects (ages ranging from 18 to 38). Deep sequencing identified associated pathogens in five of seven samples, including human adenovirus D, Haemophilus influenzae, Chlamydia trachomatis, and human coronavirus 229E. CONCLUSIONS Unbiased deep sequencing identified some unexpected pathogens in subjects with acute infectious conjunctivitis. Human adenovirus D was recovered from only one patient in this series. Although all samples were obtained during the COVID-19 pandemic, only one case of human coronavirus 229E and no SARS-CoV-2 were identified.

Original languageEnglish
Pages (from-to)276-280
Number of pages5
JournalOptometry and Vision Science
Volume100
Issue number4
DOIs
StatePublished - 1 Apr 2023

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