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Salmonella Typhi and Salmonella Paratyphi A elaborate distinct systemic metabolite signatures during enteric fever
The host–pathogen interactions induced by Salmonella Typhi and Salmonella Paratyphi A during enteric fever are poorly understood. This knowledge gap, and the human restricted nature of these bacteria, limit our understanding of the disease and impede the development of new diagnostic approaches. To...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4077204/ https://www.ncbi.nlm.nih.gov/pubmed/24902583 http://dx.doi.org/10.7554/eLife.03100 |
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author | Näsström, Elin Vu Thieu, Nga Tran Dongol, Sabina Karkey, Abhilasha Voong Vinh, Phat Ha Thanh, Tuyen Johansson, Anders Arjyal, Amit Thwaites, Guy Dolecek, Christiane Basnyat, Buddha Baker, Stephen Antti, Henrik |
author_facet | Näsström, Elin Vu Thieu, Nga Tran Dongol, Sabina Karkey, Abhilasha Voong Vinh, Phat Ha Thanh, Tuyen Johansson, Anders Arjyal, Amit Thwaites, Guy Dolecek, Christiane Basnyat, Buddha Baker, Stephen Antti, Henrik |
author_sort | Näsström, Elin |
collection | PubMed |
description | The host–pathogen interactions induced by Salmonella Typhi and Salmonella Paratyphi A during enteric fever are poorly understood. This knowledge gap, and the human restricted nature of these bacteria, limit our understanding of the disease and impede the development of new diagnostic approaches. To investigate metabolite signals associated with enteric fever we performed two dimensional gas chromatography with time-of-flight mass spectrometry (GCxGC/TOFMS) on plasma from patients with S. Typhi and S. Paratyphi A infections and asymptomatic controls, identifying 695 individual metabolite peaks. Applying supervised pattern recognition, we found highly significant and reproducible metabolite profiles separating S. Typhi cases, S. Paratyphi A cases, and controls, calculating that a combination of six metabolites could accurately define the etiological agent. For the first time we show that reproducible and serovar specific systemic biomarkers can be detected during enteric fever. Our work defines several biologically plausible metabolites that can be used to detect enteric fever, and unlocks the potential of this method in diagnosing other systemic bacterial infections. DOI: http://dx.doi.org/10.7554/eLife.03100.001 |
format | Online Article Text |
id | pubmed-4077204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-40772042014-07-22 Salmonella Typhi and Salmonella Paratyphi A elaborate distinct systemic metabolite signatures during enteric fever Näsström, Elin Vu Thieu, Nga Tran Dongol, Sabina Karkey, Abhilasha Voong Vinh, Phat Ha Thanh, Tuyen Johansson, Anders Arjyal, Amit Thwaites, Guy Dolecek, Christiane Basnyat, Buddha Baker, Stephen Antti, Henrik eLife Epidemiology and Global Health The host–pathogen interactions induced by Salmonella Typhi and Salmonella Paratyphi A during enteric fever are poorly understood. This knowledge gap, and the human restricted nature of these bacteria, limit our understanding of the disease and impede the development of new diagnostic approaches. To investigate metabolite signals associated with enteric fever we performed two dimensional gas chromatography with time-of-flight mass spectrometry (GCxGC/TOFMS) on plasma from patients with S. Typhi and S. Paratyphi A infections and asymptomatic controls, identifying 695 individual metabolite peaks. Applying supervised pattern recognition, we found highly significant and reproducible metabolite profiles separating S. Typhi cases, S. Paratyphi A cases, and controls, calculating that a combination of six metabolites could accurately define the etiological agent. For the first time we show that reproducible and serovar specific systemic biomarkers can be detected during enteric fever. Our work defines several biologically plausible metabolites that can be used to detect enteric fever, and unlocks the potential of this method in diagnosing other systemic bacterial infections. DOI: http://dx.doi.org/10.7554/eLife.03100.001 eLife Sciences Publications, Ltd 2014-06-05 /pmc/articles/PMC4077204/ /pubmed/24902583 http://dx.doi.org/10.7554/eLife.03100 Text en Copyright © 2014, Näsström et al http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Epidemiology and Global Health Näsström, Elin Vu Thieu, Nga Tran Dongol, Sabina Karkey, Abhilasha Voong Vinh, Phat Ha Thanh, Tuyen Johansson, Anders Arjyal, Amit Thwaites, Guy Dolecek, Christiane Basnyat, Buddha Baker, Stephen Antti, Henrik Salmonella Typhi and Salmonella Paratyphi A elaborate distinct systemic metabolite signatures during enteric fever |
title | Salmonella Typhi and Salmonella Paratyphi A elaborate distinct systemic metabolite signatures during enteric fever |
title_full | Salmonella Typhi and Salmonella Paratyphi A elaborate distinct systemic metabolite signatures during enteric fever |
title_fullStr | Salmonella Typhi and Salmonella Paratyphi A elaborate distinct systemic metabolite signatures during enteric fever |
title_full_unstemmed | Salmonella Typhi and Salmonella Paratyphi A elaborate distinct systemic metabolite signatures during enteric fever |
title_short | Salmonella Typhi and Salmonella Paratyphi A elaborate distinct systemic metabolite signatures during enteric fever |
title_sort | salmonella typhi and salmonella paratyphi a elaborate distinct systemic metabolite signatures during enteric fever |
topic | Epidemiology and Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4077204/ https://www.ncbi.nlm.nih.gov/pubmed/24902583 http://dx.doi.org/10.7554/eLife.03100 |
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