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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Case Series: Unbiased Deep Sequencing Analysis of Acute Infectious Conjunctivitis in an Ambulatory Eye Center in Berkeley, California
Optometry and Vision Science, Volume 100, No. 4, Year 2023
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Description
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. © Lippincott Williams & Wilkins.
Authors & Co-Authors
Ruder, Kevin
United States, San Francisco
University of California, San Francisco
Chen, Cindi
United States, San Francisco
University of California, San Francisco
Hinterwirth, Armin
United States, San Francisco
University of California, San Francisco
Lietman, Thomas M.
United States, San Francisco
University of California, San Francisco
Doan, Thuy A.
United States, San Francisco
University of California, San Francisco
Seitzman, Gerami D.
United States, San Francisco
University of California, San Francisco
Lalitha, Prajna N.
Unknown Affiliation
Sié, Alie
Unknown Affiliation
Coulibaly, Boubacar
Unknown Affiliation
Bountogo, Mamadou
Unknown Affiliation
Somkijrungroj, Thanapong
Unknown Affiliation
Lansingh, Van C.
Unknown Affiliation
Amza, Abdou
Unknown Affiliation
Souley, Abdoul Salam Youssoufou
Unknown Affiliation
Diori, Adam Nouhou
Unknown Affiliation
Nassirou, Beido
Unknown Affiliation
Kadri, Boubacar
Unknown Affiliation
Mehta, Jod S.
Unknown Affiliation
Pinsky, Benjamin A.
Unknown Affiliation
Watson, Stephanie L.
Unknown Affiliation
Tsui, Edmund
Unknown Affiliation
Lebas, Elodie
Unknown Affiliation
Colby, Emily
Unknown Affiliation
Zhong, Lina
Unknown Affiliation
Deiner, Michael S.
Unknown Affiliation
Lietman, Thomas M.
Unknown Affiliation
Porco, Travis C.
Unknown Affiliation
McLeod, Stephen D.
Unknown Affiliation
Yeh, Steven
Unknown Affiliation
Fashina, Tolulope
Unknown Affiliation
Chodosh, James C.
Unknown Affiliation
Taleo, Fasihah
Unknown Affiliation
Solomon, Anthony W.
Unknown Affiliation
Statistics
Citations: 1
Authors: 33
Affiliations: 2
Identifiers
Doi:
10.1097/OPX.0000000000002010
ISSN:
10405488
Research Areas
Covid
Health System And Policy