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Identification of Cerebrospinal Fluid Metabolites as Biomarkers for Enterovirus Meningitis
Enteroviruses are among the most common causes of viral meningitis. Enteroviral meningitis continues to represent diagnostic challenges, as cerebrospinal fluid (CSF) cell numbers (a well validated diagnostic screening tool) may be normal in up to 15% of patients. We aimed to identify potential CSF b...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359617/ https://www.ncbi.nlm.nih.gov/pubmed/30650575 http://dx.doi.org/10.3390/ijms20020337 |
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author | Ratuszny, Dominica Sühs, Kurt-Wolfram Novoselova, Natalia Kuhn, Maike Kaever, Volkhard Skripuletz, Thomas Pessler, Frank Stangel, Martin |
author_facet | Ratuszny, Dominica Sühs, Kurt-Wolfram Novoselova, Natalia Kuhn, Maike Kaever, Volkhard Skripuletz, Thomas Pessler, Frank Stangel, Martin |
author_sort | Ratuszny, Dominica |
collection | PubMed |
description | Enteroviruses are among the most common causes of viral meningitis. Enteroviral meningitis continues to represent diagnostic challenges, as cerebrospinal fluid (CSF) cell numbers (a well validated diagnostic screening tool) may be normal in up to 15% of patients. We aimed to identify potential CSF biomarkers for enteroviral meningitis, particularly for cases with normal CSF cell count. Using targeted liquid chromatography-mass spectrometry, we determined metabolite profiles from patients with enteroviral meningitis (n = 10) and subdivided them into those with elevated (n = 5) and normal (n = 5) CSF leukocyte counts. Non-inflamed CSF samples from patients with Bell’s palsy and normal pressure hydrocephalus (n = 19) were used as controls. Analysis of 91 metabolites revealed considerable metabolic reprogramming in the meningitis samples. It identified phosphatidylcholine PC.ae.C36.3, asparagine, and glycine as an accurate (AUC, 0.92) combined classifier for enterovirus meningitis overall, and kynurenine as a perfect biomarker for enteroviral meningitis with an increased CSF cell count (AUC, 1.0). Remarkably, PC.ae.C36.3 alone emerged as a single accurate (AUC, 0.87) biomarker for enteroviral meningitis with normal cell count, and a combined classifier comprising PC.ae.C36.3, PC.ae.C36.5, and PC.ae.C38.5 achieved nearly perfect classification (AUC, 0.99). Taken together, this analysis reveals the potential of CSF metabolites as additional diagnostic tools for enteroviral meningitis, and likely other central nervous system (CNS) infections. |
format | Online Article Text |
id | pubmed-6359617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63596172019-02-06 Identification of Cerebrospinal Fluid Metabolites as Biomarkers for Enterovirus Meningitis Ratuszny, Dominica Sühs, Kurt-Wolfram Novoselova, Natalia Kuhn, Maike Kaever, Volkhard Skripuletz, Thomas Pessler, Frank Stangel, Martin Int J Mol Sci Article Enteroviruses are among the most common causes of viral meningitis. Enteroviral meningitis continues to represent diagnostic challenges, as cerebrospinal fluid (CSF) cell numbers (a well validated diagnostic screening tool) may be normal in up to 15% of patients. We aimed to identify potential CSF biomarkers for enteroviral meningitis, particularly for cases with normal CSF cell count. Using targeted liquid chromatography-mass spectrometry, we determined metabolite profiles from patients with enteroviral meningitis (n = 10) and subdivided them into those with elevated (n = 5) and normal (n = 5) CSF leukocyte counts. Non-inflamed CSF samples from patients with Bell’s palsy and normal pressure hydrocephalus (n = 19) were used as controls. Analysis of 91 metabolites revealed considerable metabolic reprogramming in the meningitis samples. It identified phosphatidylcholine PC.ae.C36.3, asparagine, and glycine as an accurate (AUC, 0.92) combined classifier for enterovirus meningitis overall, and kynurenine as a perfect biomarker for enteroviral meningitis with an increased CSF cell count (AUC, 1.0). Remarkably, PC.ae.C36.3 alone emerged as a single accurate (AUC, 0.87) biomarker for enteroviral meningitis with normal cell count, and a combined classifier comprising PC.ae.C36.3, PC.ae.C36.5, and PC.ae.C38.5 achieved nearly perfect classification (AUC, 0.99). Taken together, this analysis reveals the potential of CSF metabolites as additional diagnostic tools for enteroviral meningitis, and likely other central nervous system (CNS) infections. MDPI 2019-01-15 /pmc/articles/PMC6359617/ /pubmed/30650575 http://dx.doi.org/10.3390/ijms20020337 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ratuszny, Dominica Sühs, Kurt-Wolfram Novoselova, Natalia Kuhn, Maike Kaever, Volkhard Skripuletz, Thomas Pessler, Frank Stangel, Martin Identification of Cerebrospinal Fluid Metabolites as Biomarkers for Enterovirus Meningitis |
title | Identification of Cerebrospinal Fluid Metabolites as Biomarkers for Enterovirus Meningitis |
title_full | Identification of Cerebrospinal Fluid Metabolites as Biomarkers for Enterovirus Meningitis |
title_fullStr | Identification of Cerebrospinal Fluid Metabolites as Biomarkers for Enterovirus Meningitis |
title_full_unstemmed | Identification of Cerebrospinal Fluid Metabolites as Biomarkers for Enterovirus Meningitis |
title_short | Identification of Cerebrospinal Fluid Metabolites as Biomarkers for Enterovirus Meningitis |
title_sort | identification of cerebrospinal fluid metabolites as biomarkers for enterovirus meningitis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359617/ https://www.ncbi.nlm.nih.gov/pubmed/30650575 http://dx.doi.org/10.3390/ijms20020337 |
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