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Deep sequencing analysis of clinical samples from patients with acute infectious conjunctivitis during the COVID-19 delta surge in Madurai, India
BACKGROUND: Seasonal outbreaks of infectious conjunctivitis remain a public health issue. Determination of outbreak etiologies in the context of a worldwide pandemic may provide useful information to guide public health strategies. The aim of this study was to identify pathogens associated with outp...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534536/ https://www.ncbi.nlm.nih.gov/pubmed/36242841 http://dx.doi.org/10.1016/j.jcv.2022.105318 |
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author | Lalitha, Prajna Prajna, N Venkatesh Gunasekaran, Rameshkumar Teja, Gonugunta Vishnu Sharma, Sankalp S. Hinterwirth, Armin Ruder, Kevin Zhong, Lina Chen, Cindi Deiner, Michael Huang, ChunHong Pinsky, Benjamin A. Lietman, Thomas M. Doan, Thuy Seitzman, Gerami D. |
author_facet | Lalitha, Prajna Prajna, N Venkatesh Gunasekaran, Rameshkumar Teja, Gonugunta Vishnu Sharma, Sankalp S. Hinterwirth, Armin Ruder, Kevin Zhong, Lina Chen, Cindi Deiner, Michael Huang, ChunHong Pinsky, Benjamin A. Lietman, Thomas M. Doan, Thuy Seitzman, Gerami D. |
author_sort | Lalitha, Prajna |
collection | PubMed |
description | BACKGROUND: Seasonal outbreaks of infectious conjunctivitis remain a public health issue. Determination of outbreak etiologies in the context of a worldwide pandemic may provide useful information to guide public health strategies. The aim of this study was to identify pathogens associated with outpatient infectious conjunctivitis during the COVID-19 Delta surge. METHODS: This prospective study was conducted from April 2021 to September 2021. All outpatients presenting to the Aravind Eye Center (Madurai, India) with signs and symptoms consistent with acute infectious conjunctivitis were eligible. Three swabs were obtained from each participant: one from each conjunctiva and one from the anterior nares. Samples were processed for metagenomic RNA deep sequencing (RNA-seq). RESULTS: Samples from 106 study participants were sequenced. The most common presenting symptoms were tearing (86%) and itching (71%). Preauricular lymphadenopathy was present in 38% of participants. 20% of participants had close contacts with similar symptoms. Systemic symptoms such as coughing, runny nose, vomiting or diarrhea were uncommonly reported. 60% of all participants used some medicated eye drops upon enrollment. 75% of study participants demonstrated infection with human adenovirus D (HAdV-D). 11% of conjunctivitis was associated with SARS-CoV-2. 15% had no definitive pathogen detected. 8% of all participants had codetection of more than one pathogen on RNA-seq. CONCLUSIONS: During the COVID-19 Delta surge in India, HAdV-D was the most common pathogen associated with infectious conjunctivitis. SARS-CoV-2 was the second most common associated pathogen. Seasonal surveillance may be necessary for the determination of emerging and reemerging pathogens responsible for infectious conjunctivitis. |
format | Online Article Text |
id | pubmed-9534536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95345362022-10-06 Deep sequencing analysis of clinical samples from patients with acute infectious conjunctivitis during the COVID-19 delta surge in Madurai, India Lalitha, Prajna Prajna, N Venkatesh Gunasekaran, Rameshkumar Teja, Gonugunta Vishnu Sharma, Sankalp S. Hinterwirth, Armin Ruder, Kevin Zhong, Lina Chen, Cindi Deiner, Michael Huang, ChunHong Pinsky, Benjamin A. Lietman, Thomas M. Doan, Thuy Seitzman, Gerami D. J Clin Virol Short Communication BACKGROUND: Seasonal outbreaks of infectious conjunctivitis remain a public health issue. Determination of outbreak etiologies in the context of a worldwide pandemic may provide useful information to guide public health strategies. The aim of this study was to identify pathogens associated with outpatient infectious conjunctivitis during the COVID-19 Delta surge. METHODS: This prospective study was conducted from April 2021 to September 2021. All outpatients presenting to the Aravind Eye Center (Madurai, India) with signs and symptoms consistent with acute infectious conjunctivitis were eligible. Three swabs were obtained from each participant: one from each conjunctiva and one from the anterior nares. Samples were processed for metagenomic RNA deep sequencing (RNA-seq). RESULTS: Samples from 106 study participants were sequenced. The most common presenting symptoms were tearing (86%) and itching (71%). Preauricular lymphadenopathy was present in 38% of participants. 20% of participants had close contacts with similar symptoms. Systemic symptoms such as coughing, runny nose, vomiting or diarrhea were uncommonly reported. 60% of all participants used some medicated eye drops upon enrollment. 75% of study participants demonstrated infection with human adenovirus D (HAdV-D). 11% of conjunctivitis was associated with SARS-CoV-2. 15% had no definitive pathogen detected. 8% of all participants had codetection of more than one pathogen on RNA-seq. CONCLUSIONS: During the COVID-19 Delta surge in India, HAdV-D was the most common pathogen associated with infectious conjunctivitis. SARS-CoV-2 was the second most common associated pathogen. Seasonal surveillance may be necessary for the determination of emerging and reemerging pathogens responsible for infectious conjunctivitis. Elsevier B.V. 2022-12 2022-10-05 /pmc/articles/PMC9534536/ /pubmed/36242841 http://dx.doi.org/10.1016/j.jcv.2022.105318 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Short Communication Lalitha, Prajna Prajna, N Venkatesh Gunasekaran, Rameshkumar Teja, Gonugunta Vishnu Sharma, Sankalp S. Hinterwirth, Armin Ruder, Kevin Zhong, Lina Chen, Cindi Deiner, Michael Huang, ChunHong Pinsky, Benjamin A. Lietman, Thomas M. Doan, Thuy Seitzman, Gerami D. Deep sequencing analysis of clinical samples from patients with acute infectious conjunctivitis during the COVID-19 delta surge in Madurai, India |
title | Deep sequencing analysis of clinical samples from patients with acute infectious conjunctivitis during the COVID-19 delta surge in Madurai, India |
title_full | Deep sequencing analysis of clinical samples from patients with acute infectious conjunctivitis during the COVID-19 delta surge in Madurai, India |
title_fullStr | Deep sequencing analysis of clinical samples from patients with acute infectious conjunctivitis during the COVID-19 delta surge in Madurai, India |
title_full_unstemmed | Deep sequencing analysis of clinical samples from patients with acute infectious conjunctivitis during the COVID-19 delta surge in Madurai, India |
title_short | Deep sequencing analysis of clinical samples from patients with acute infectious conjunctivitis during the COVID-19 delta surge in Madurai, India |
title_sort | deep sequencing analysis of clinical samples from patients with acute infectious conjunctivitis during the covid-19 delta surge in madurai, india |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534536/ https://www.ncbi.nlm.nih.gov/pubmed/36242841 http://dx.doi.org/10.1016/j.jcv.2022.105318 |
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