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Metabolic preference assay for rapid diagnosis of bloodstream infections
Bloodstream infections (BSIs) cause >500,000 infections and >80,000 deaths per year in North America. The length of time between the onset of symptoms and administration of appropriate antimicrobials is directly linked to mortality rates. It currently takes 2–5 days to identify BSI pathogens a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050716/ https://www.ncbi.nlm.nih.gov/pubmed/35484129 http://dx.doi.org/10.1038/s41467-022-30048-6 |
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author | Rydzak, Thomas Groves, Ryan A. Zhang, Ruichuan Aburashed, Raied Pushpker, Rajnigandha Mapar, Maryam Lewis, Ian A. |
author_facet | Rydzak, Thomas Groves, Ryan A. Zhang, Ruichuan Aburashed, Raied Pushpker, Rajnigandha Mapar, Maryam Lewis, Ian A. |
author_sort | Rydzak, Thomas |
collection | PubMed |
description | Bloodstream infections (BSIs) cause >500,000 infections and >80,000 deaths per year in North America. The length of time between the onset of symptoms and administration of appropriate antimicrobials is directly linked to mortality rates. It currently takes 2–5 days to identify BSI pathogens and measure their susceptibility to antimicrobials – a timeline that directly contributes to preventable deaths. To address this, we demonstrate a rapid metabolic preference assay (MPA) that uses the pattern of metabolic fluxes observed in ex-vivo microbial cultures to identify common pathogens and determine their antimicrobial susceptibility profiles. In a head-to-head race with a leading platform (VITEK 2, BioMérieux) used in diagnostic laboratories, MPA decreases testing timelines from 40 hours to under 20. If put into practice, this assay could reduce septic shock mortality and reduce the use of broad spectrum antibiotics. |
format | Online Article Text |
id | pubmed-9050716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90507162022-04-30 Metabolic preference assay for rapid diagnosis of bloodstream infections Rydzak, Thomas Groves, Ryan A. Zhang, Ruichuan Aburashed, Raied Pushpker, Rajnigandha Mapar, Maryam Lewis, Ian A. Nat Commun Article Bloodstream infections (BSIs) cause >500,000 infections and >80,000 deaths per year in North America. The length of time between the onset of symptoms and administration of appropriate antimicrobials is directly linked to mortality rates. It currently takes 2–5 days to identify BSI pathogens and measure their susceptibility to antimicrobials – a timeline that directly contributes to preventable deaths. To address this, we demonstrate a rapid metabolic preference assay (MPA) that uses the pattern of metabolic fluxes observed in ex-vivo microbial cultures to identify common pathogens and determine their antimicrobial susceptibility profiles. In a head-to-head race with a leading platform (VITEK 2, BioMérieux) used in diagnostic laboratories, MPA decreases testing timelines from 40 hours to under 20. If put into practice, this assay could reduce septic shock mortality and reduce the use of broad spectrum antibiotics. Nature Publishing Group UK 2022-04-28 /pmc/articles/PMC9050716/ /pubmed/35484129 http://dx.doi.org/10.1038/s41467-022-30048-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Rydzak, Thomas Groves, Ryan A. Zhang, Ruichuan Aburashed, Raied Pushpker, Rajnigandha Mapar, Maryam Lewis, Ian A. Metabolic preference assay for rapid diagnosis of bloodstream infections |
title | Metabolic preference assay for rapid diagnosis of bloodstream infections |
title_full | Metabolic preference assay for rapid diagnosis of bloodstream infections |
title_fullStr | Metabolic preference assay for rapid diagnosis of bloodstream infections |
title_full_unstemmed | Metabolic preference assay for rapid diagnosis of bloodstream infections |
title_short | Metabolic preference assay for rapid diagnosis of bloodstream infections |
title_sort | metabolic preference assay for rapid diagnosis of bloodstream infections |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050716/ https://www.ncbi.nlm.nih.gov/pubmed/35484129 http://dx.doi.org/10.1038/s41467-022-30048-6 |
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