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Bacterial ribosomal RNA detection in cerebrospinal fluid using a viromics approach
BACKGROUND: In patients with central nervous system (CNS) infections identification of the causative pathogen is important for treatment. Metagenomic next-generation sequencing techniques are increasingly being applied to identify causes of CNS infections, as they can detect any pathogen nucleic aci...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773461/ https://www.ncbi.nlm.nih.gov/pubmed/36550487 http://dx.doi.org/10.1186/s12987-022-00400-5 |
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author | Kinsella, Cormac M. Edridge, Arthur W. D. van Zeggeren, Ingeborg E. Deijs, Martin van de Beek, Diederik Brouwer, Matthijs C. van der Hoek, Lia |
author_facet | Kinsella, Cormac M. Edridge, Arthur W. D. van Zeggeren, Ingeborg E. Deijs, Martin van de Beek, Diederik Brouwer, Matthijs C. van der Hoek, Lia |
author_sort | Kinsella, Cormac M. |
collection | PubMed |
description | BACKGROUND: In patients with central nervous system (CNS) infections identification of the causative pathogen is important for treatment. Metagenomic next-generation sequencing techniques are increasingly being applied to identify causes of CNS infections, as they can detect any pathogen nucleic acid sequences present. Viromic techniques that enrich samples for virus particles prior to sequencing may simultaneously enrich ribosomes from bacterial pathogens, which are similar in size to small viruses. METHODS: We studied the performance of a viromic library preparation technique (VIDISCA) combined with low-depth IonTorrent sequencing (median ~ 25,000 reads per sample) for detection of ribosomal RNA from common pathogens, analyzing 89 cerebrospinal fluid samples from patients with culture proven bacterial meningitis. RESULTS: Sensitivity and specificity to Streptococcus pneumoniae (n = 24) before and after optimizing threshold parameters were 79% and 52%, then 88% and 90%. Corresponding values for Neisseria meningitidis (n = 22) were 73% and 93%, then 67% and 100%, Listeria monocytogenes (n = 24) 21% and 100%, then 27% and 100%, and Haemophilus influenzae (n = 18) 56% and 100%, then 71% and 100%. A higher total sequencing depth, no antibiotic treatment prior to lumbar puncture, increased disease severity, and higher c-reactive protein levels were associated with pathogen detection. CONCLUSION: We provide proof of principle that a viromic approach can be used to correctly identify bacterial ribosomal RNA in patients with bacterial meningitis. Further work should focus on increasing assay sensitivity, especially for problematic species (e.g. L. monocytogenes), as well as profiling additional pathogens. The technique is most suited to research settings and examination of idiopathic cases, rather than an acute clinical setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12987-022-00400-5. |
format | Online Article Text |
id | pubmed-9773461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97734612022-12-23 Bacterial ribosomal RNA detection in cerebrospinal fluid using a viromics approach Kinsella, Cormac M. Edridge, Arthur W. D. van Zeggeren, Ingeborg E. Deijs, Martin van de Beek, Diederik Brouwer, Matthijs C. van der Hoek, Lia Fluids Barriers CNS Research BACKGROUND: In patients with central nervous system (CNS) infections identification of the causative pathogen is important for treatment. Metagenomic next-generation sequencing techniques are increasingly being applied to identify causes of CNS infections, as they can detect any pathogen nucleic acid sequences present. Viromic techniques that enrich samples for virus particles prior to sequencing may simultaneously enrich ribosomes from bacterial pathogens, which are similar in size to small viruses. METHODS: We studied the performance of a viromic library preparation technique (VIDISCA) combined with low-depth IonTorrent sequencing (median ~ 25,000 reads per sample) for detection of ribosomal RNA from common pathogens, analyzing 89 cerebrospinal fluid samples from patients with culture proven bacterial meningitis. RESULTS: Sensitivity and specificity to Streptococcus pneumoniae (n = 24) before and after optimizing threshold parameters were 79% and 52%, then 88% and 90%. Corresponding values for Neisseria meningitidis (n = 22) were 73% and 93%, then 67% and 100%, Listeria monocytogenes (n = 24) 21% and 100%, then 27% and 100%, and Haemophilus influenzae (n = 18) 56% and 100%, then 71% and 100%. A higher total sequencing depth, no antibiotic treatment prior to lumbar puncture, increased disease severity, and higher c-reactive protein levels were associated with pathogen detection. CONCLUSION: We provide proof of principle that a viromic approach can be used to correctly identify bacterial ribosomal RNA in patients with bacterial meningitis. Further work should focus on increasing assay sensitivity, especially for problematic species (e.g. L. monocytogenes), as well as profiling additional pathogens. The technique is most suited to research settings and examination of idiopathic cases, rather than an acute clinical setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12987-022-00400-5. BioMed Central 2022-12-22 /pmc/articles/PMC9773461/ /pubmed/36550487 http://dx.doi.org/10.1186/s12987-022-00400-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Kinsella, Cormac M. Edridge, Arthur W. D. van Zeggeren, Ingeborg E. Deijs, Martin van de Beek, Diederik Brouwer, Matthijs C. van der Hoek, Lia Bacterial ribosomal RNA detection in cerebrospinal fluid using a viromics approach |
title | Bacterial ribosomal RNA detection in cerebrospinal fluid using a viromics approach |
title_full | Bacterial ribosomal RNA detection in cerebrospinal fluid using a viromics approach |
title_fullStr | Bacterial ribosomal RNA detection in cerebrospinal fluid using a viromics approach |
title_full_unstemmed | Bacterial ribosomal RNA detection in cerebrospinal fluid using a viromics approach |
title_short | Bacterial ribosomal RNA detection in cerebrospinal fluid using a viromics approach |
title_sort | bacterial ribosomal rna detection in cerebrospinal fluid using a viromics approach |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773461/ https://www.ncbi.nlm.nih.gov/pubmed/36550487 http://dx.doi.org/10.1186/s12987-022-00400-5 |
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