Cargando…

Targeted High-Throughput Sequencing Identifies Predominantly Fungal Pathogens in Patients with Clinically Infectious, Culture-Negative Endophthalmitis in South India

To evaluate the clinical utility of high-throughput sequencing (HTS) approach-based analysis of the bacterial and fungal genome in vitreous fluids from patients clinically diagnosed as endophthalmitis, we subjected 75 vitreous fluids from clinically presumed infectious endophthalmitis patients to hi...

Descripción completa

Detalles Bibliográficos
Autores principales: Gandhi, Jaishree, Jayasudha, Rajagopalaboopathi, Naik, Poonam, Sharma, Savitri, Dave, Vivek Pravin, Joseph, Joveeta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843429/
https://www.ncbi.nlm.nih.gov/pubmed/31581465
http://dx.doi.org/10.3390/microorganisms7100411
_version_ 1783468213373239296
author Gandhi, Jaishree
Jayasudha, Rajagopalaboopathi
Naik, Poonam
Sharma, Savitri
Dave, Vivek Pravin
Joseph, Joveeta
author_facet Gandhi, Jaishree
Jayasudha, Rajagopalaboopathi
Naik, Poonam
Sharma, Savitri
Dave, Vivek Pravin
Joseph, Joveeta
author_sort Gandhi, Jaishree
collection PubMed
description To evaluate the clinical utility of high-throughput sequencing (HTS) approach-based analysis of the bacterial and fungal genome in vitreous fluids from patients clinically diagnosed as endophthalmitis, we subjected 75 vitreous fluids from clinically presumed infectious endophthalmitis patients to high-throughput sequencing (Illumina HiSeq 2500) after DNA extraction and amplification of the 16S rRNA for the detection of bacteria, and ITS 2 region for detection of fungal pathogens. As controls, we included vitreous biopsies from 70 patients diagnosed with other non-infectious retinal disorders. Following the construction of the curated microbial genome database and filtering steps to reduce ambiguousness/contaminants from the environment, the paired reads were analyzed. Our HTS reads revealed in almost all cases the same organism that was grown in culture (bacterial-14/15, fungal 3/3) by conventional microbiological workup. HTS additionally diagnosed the presence of microbes in 42/57 (73.7%) patients who were conventionally negative (fungal pathogens in 36/57, bacterial pathogens in 11/57, including five cases that showed the presence of both bacterial and fungal organisms). Aspergillus sp., Fusarium sp., Exserohilum sp., and Candida sp. were the most predominant genera in our cohort of culture-negative endophthalmitis cases. Heat map based microbial clustering analysis revealed that these organisms were taxonomically similar to the species identified by conventional culture methods. Interestingly, 4/70 control samples also showed the presence of bacterial reads, although their clinical significance is uncertain. HTS is useful in detecting pathogens in endophthalmitis cases that elude conventional attempts at diagnosis and can provide actionable information relevant to management, especially where there is a high index of suspicion of fungal endophthalmitis, particularly in tropical countries. Outcome analyses and clinical trials addressing the success and cost savings of HTS for the diagnosis of endophthalmitis are recommended.
format Online
Article
Text
id pubmed-6843429
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-68434292019-11-25 Targeted High-Throughput Sequencing Identifies Predominantly Fungal Pathogens in Patients with Clinically Infectious, Culture-Negative Endophthalmitis in South India Gandhi, Jaishree Jayasudha, Rajagopalaboopathi Naik, Poonam Sharma, Savitri Dave, Vivek Pravin Joseph, Joveeta Microorganisms Article To evaluate the clinical utility of high-throughput sequencing (HTS) approach-based analysis of the bacterial and fungal genome in vitreous fluids from patients clinically diagnosed as endophthalmitis, we subjected 75 vitreous fluids from clinically presumed infectious endophthalmitis patients to high-throughput sequencing (Illumina HiSeq 2500) after DNA extraction and amplification of the 16S rRNA for the detection of bacteria, and ITS 2 region for detection of fungal pathogens. As controls, we included vitreous biopsies from 70 patients diagnosed with other non-infectious retinal disorders. Following the construction of the curated microbial genome database and filtering steps to reduce ambiguousness/contaminants from the environment, the paired reads were analyzed. Our HTS reads revealed in almost all cases the same organism that was grown in culture (bacterial-14/15, fungal 3/3) by conventional microbiological workup. HTS additionally diagnosed the presence of microbes in 42/57 (73.7%) patients who were conventionally negative (fungal pathogens in 36/57, bacterial pathogens in 11/57, including five cases that showed the presence of both bacterial and fungal organisms). Aspergillus sp., Fusarium sp., Exserohilum sp., and Candida sp. were the most predominant genera in our cohort of culture-negative endophthalmitis cases. Heat map based microbial clustering analysis revealed that these organisms were taxonomically similar to the species identified by conventional culture methods. Interestingly, 4/70 control samples also showed the presence of bacterial reads, although their clinical significance is uncertain. HTS is useful in detecting pathogens in endophthalmitis cases that elude conventional attempts at diagnosis and can provide actionable information relevant to management, especially where there is a high index of suspicion of fungal endophthalmitis, particularly in tropical countries. Outcome analyses and clinical trials addressing the success and cost savings of HTS for the diagnosis of endophthalmitis are recommended. MDPI 2019-10-01 /pmc/articles/PMC6843429/ /pubmed/31581465 http://dx.doi.org/10.3390/microorganisms7100411 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gandhi, Jaishree
Jayasudha, Rajagopalaboopathi
Naik, Poonam
Sharma, Savitri
Dave, Vivek Pravin
Joseph, Joveeta
Targeted High-Throughput Sequencing Identifies Predominantly Fungal Pathogens in Patients with Clinically Infectious, Culture-Negative Endophthalmitis in South India
title Targeted High-Throughput Sequencing Identifies Predominantly Fungal Pathogens in Patients with Clinically Infectious, Culture-Negative Endophthalmitis in South India
title_full Targeted High-Throughput Sequencing Identifies Predominantly Fungal Pathogens in Patients with Clinically Infectious, Culture-Negative Endophthalmitis in South India
title_fullStr Targeted High-Throughput Sequencing Identifies Predominantly Fungal Pathogens in Patients with Clinically Infectious, Culture-Negative Endophthalmitis in South India
title_full_unstemmed Targeted High-Throughput Sequencing Identifies Predominantly Fungal Pathogens in Patients with Clinically Infectious, Culture-Negative Endophthalmitis in South India
title_short Targeted High-Throughput Sequencing Identifies Predominantly Fungal Pathogens in Patients with Clinically Infectious, Culture-Negative Endophthalmitis in South India
title_sort targeted high-throughput sequencing identifies predominantly fungal pathogens in patients with clinically infectious, culture-negative endophthalmitis in south india
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843429/
https://www.ncbi.nlm.nih.gov/pubmed/31581465
http://dx.doi.org/10.3390/microorganisms7100411
work_keys_str_mv AT gandhijaishree targetedhighthroughputsequencingidentifiespredominantlyfungalpathogensinpatientswithclinicallyinfectiousculturenegativeendophthalmitisinsouthindia
AT jayasudharajagopalaboopathi targetedhighthroughputsequencingidentifiespredominantlyfungalpathogensinpatientswithclinicallyinfectiousculturenegativeendophthalmitisinsouthindia
AT naikpoonam targetedhighthroughputsequencingidentifiespredominantlyfungalpathogensinpatientswithclinicallyinfectiousculturenegativeendophthalmitisinsouthindia
AT sharmasavitri targetedhighthroughputsequencingidentifiespredominantlyfungalpathogensinpatientswithclinicallyinfectiousculturenegativeendophthalmitisinsouthindia
AT davevivekpravin targetedhighthroughputsequencingidentifiespredominantlyfungalpathogensinpatientswithclinicallyinfectiousculturenegativeendophthalmitisinsouthindia
AT josephjoveeta targetedhighthroughputsequencingidentifiespredominantlyfungalpathogensinpatientswithclinicallyinfectiousculturenegativeendophthalmitisinsouthindia