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Genomics-Based Identification of Microorganisms in Human Ocular Body Fluid

Advances in genomics have the potential to revolutionize clinical diagnostics. Here, we examine the microbiome of vitreous (intraocular body fluid) from patients who developed endophthalmitis following cataract surgery or intravitreal injection. Endophthalmitis is an inflammation of the intraocular...

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Autores principales: Kirstahler, Philipp, Bjerrum, Søren Solborg, Friis-Møller, Alice, la Cour, Morten, Aarestrup, Frank M., Westh, Henrik, Pamp, Sünje Johanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5841358/
https://www.ncbi.nlm.nih.gov/pubmed/29515160
http://dx.doi.org/10.1038/s41598-018-22416-4
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author Kirstahler, Philipp
Bjerrum, Søren Solborg
Friis-Møller, Alice
la Cour, Morten
Aarestrup, Frank M.
Westh, Henrik
Pamp, Sünje Johanna
author_facet Kirstahler, Philipp
Bjerrum, Søren Solborg
Friis-Møller, Alice
la Cour, Morten
Aarestrup, Frank M.
Westh, Henrik
Pamp, Sünje Johanna
author_sort Kirstahler, Philipp
collection PubMed
description Advances in genomics have the potential to revolutionize clinical diagnostics. Here, we examine the microbiome of vitreous (intraocular body fluid) from patients who developed endophthalmitis following cataract surgery or intravitreal injection. Endophthalmitis is an inflammation of the intraocular cavity and can lead to a permanent loss of vision. As controls, we included vitreous from endophthalmitis-negative patients, balanced salt solution used during vitrectomy and DNA extraction blanks. We compared two DNA isolation procedures and found that an ultraclean production of reagents appeared to reduce background DNA in these low microbial biomass samples. We created a curated microbial genome database (>5700 genomes) and designed a metagenomics workflow with filtering steps to reduce DNA sequences originating from: (i) human hosts, (ii) ambiguousness/contaminants in public microbial reference genomes and (iii) the environment. Our metagenomic read classification revealed in nearly all cases the same microorganism that was determined in cultivation- and mass spectrometry-based analyses. For some patients, we identified the sequence type of the microorganism and antibiotic resistance genes through analyses of whole genome sequence (WGS) assemblies of isolates and metagenomic assemblies. Together, we conclude that genomics-based analyses of human ocular body fluid specimens can provide actionable information relevant to infectious disease management.
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spelling pubmed-58413582018-03-13 Genomics-Based Identification of Microorganisms in Human Ocular Body Fluid Kirstahler, Philipp Bjerrum, Søren Solborg Friis-Møller, Alice la Cour, Morten Aarestrup, Frank M. Westh, Henrik Pamp, Sünje Johanna Sci Rep Article Advances in genomics have the potential to revolutionize clinical diagnostics. Here, we examine the microbiome of vitreous (intraocular body fluid) from patients who developed endophthalmitis following cataract surgery or intravitreal injection. Endophthalmitis is an inflammation of the intraocular cavity and can lead to a permanent loss of vision. As controls, we included vitreous from endophthalmitis-negative patients, balanced salt solution used during vitrectomy and DNA extraction blanks. We compared two DNA isolation procedures and found that an ultraclean production of reagents appeared to reduce background DNA in these low microbial biomass samples. We created a curated microbial genome database (>5700 genomes) and designed a metagenomics workflow with filtering steps to reduce DNA sequences originating from: (i) human hosts, (ii) ambiguousness/contaminants in public microbial reference genomes and (iii) the environment. Our metagenomic read classification revealed in nearly all cases the same microorganism that was determined in cultivation- and mass spectrometry-based analyses. For some patients, we identified the sequence type of the microorganism and antibiotic resistance genes through analyses of whole genome sequence (WGS) assemblies of isolates and metagenomic assemblies. Together, we conclude that genomics-based analyses of human ocular body fluid specimens can provide actionable information relevant to infectious disease management. Nature Publishing Group UK 2018-03-07 /pmc/articles/PMC5841358/ /pubmed/29515160 http://dx.doi.org/10.1038/s41598-018-22416-4 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kirstahler, Philipp
Bjerrum, Søren Solborg
Friis-Møller, Alice
la Cour, Morten
Aarestrup, Frank M.
Westh, Henrik
Pamp, Sünje Johanna
Genomics-Based Identification of Microorganisms in Human Ocular Body Fluid
title Genomics-Based Identification of Microorganisms in Human Ocular Body Fluid
title_full Genomics-Based Identification of Microorganisms in Human Ocular Body Fluid
title_fullStr Genomics-Based Identification of Microorganisms in Human Ocular Body Fluid
title_full_unstemmed Genomics-Based Identification of Microorganisms in Human Ocular Body Fluid
title_short Genomics-Based Identification of Microorganisms in Human Ocular Body Fluid
title_sort genomics-based identification of microorganisms in human ocular body fluid
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5841358/
https://www.ncbi.nlm.nih.gov/pubmed/29515160
http://dx.doi.org/10.1038/s41598-018-22416-4
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