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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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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. |
format | Online Article Text |
id | pubmed-5841358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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