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NMR metabolomics of cerebrospinal fluid differentiates inflammatory diseases of the central nervous system
BACKGROUND: Myriad infectious and noninfectious causes of encephalomyelitis (EM) have similar clinical manifestations, presenting serious challenges to diagnosis and treatment. Metabolomics of cerebrospinal fluid (CSF) was explored as a method of differentiating among neurological diseases causing E...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6312347/ https://www.ncbi.nlm.nih.gov/pubmed/30557317 http://dx.doi.org/10.1371/journal.pntd.0007045 |
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author | French, Caitlin D. Willoughby, Rodney E. Pan, Amy Wong, Susan J. Foley, John F. Wheat, L. Joseph Fernandez, Josefina Encarnacion, Rafael Ondrush, Joanne M. Fatteh, Naaz Paez, Andres David, Dan Javaid, Waleed Amzuta, Ioana G. Neilan, Anne M. Robbins, Gregory K. Brunner, Andrew M. Hu, William T. Mishchuk, Darya O. Slupsky, Carolyn M. |
author_facet | French, Caitlin D. Willoughby, Rodney E. Pan, Amy Wong, Susan J. Foley, John F. Wheat, L. Joseph Fernandez, Josefina Encarnacion, Rafael Ondrush, Joanne M. Fatteh, Naaz Paez, Andres David, Dan Javaid, Waleed Amzuta, Ioana G. Neilan, Anne M. Robbins, Gregory K. Brunner, Andrew M. Hu, William T. Mishchuk, Darya O. Slupsky, Carolyn M. |
author_sort | French, Caitlin D. |
collection | PubMed |
description | BACKGROUND: Myriad infectious and noninfectious causes of encephalomyelitis (EM) have similar clinical manifestations, presenting serious challenges to diagnosis and treatment. Metabolomics of cerebrospinal fluid (CSF) was explored as a method of differentiating among neurological diseases causing EM using a single CSF sample. METHODOLOGY/PRINCIPAL FINDINGS: (1)H NMR metabolomics was applied to CSF samples from 27 patients with a laboratory-confirmed disease, including Lyme disease or West Nile Virus meningoencephalitis, multiple sclerosis, rabies, or Histoplasma meningitis, and 25 controls. Cluster analyses distinguished samples by infection status and moderately by pathogen, with shared and differentiating metabolite patterns observed among diseases. CART analysis predicted infection status with 100% sensitivity and 93% specificity. CONCLUSIONS/SIGNIFICANCE: These preliminary results suggest the potential utility of CSF metabolomics as a rapid screening test to enhance diagnostic accuracies and improve patient outcomes. |
format | Online Article Text |
id | pubmed-6312347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63123472019-01-08 NMR metabolomics of cerebrospinal fluid differentiates inflammatory diseases of the central nervous system French, Caitlin D. Willoughby, Rodney E. Pan, Amy Wong, Susan J. Foley, John F. Wheat, L. Joseph Fernandez, Josefina Encarnacion, Rafael Ondrush, Joanne M. Fatteh, Naaz Paez, Andres David, Dan Javaid, Waleed Amzuta, Ioana G. Neilan, Anne M. Robbins, Gregory K. Brunner, Andrew M. Hu, William T. Mishchuk, Darya O. Slupsky, Carolyn M. PLoS Negl Trop Dis Research Article BACKGROUND: Myriad infectious and noninfectious causes of encephalomyelitis (EM) have similar clinical manifestations, presenting serious challenges to diagnosis and treatment. Metabolomics of cerebrospinal fluid (CSF) was explored as a method of differentiating among neurological diseases causing EM using a single CSF sample. METHODOLOGY/PRINCIPAL FINDINGS: (1)H NMR metabolomics was applied to CSF samples from 27 patients with a laboratory-confirmed disease, including Lyme disease or West Nile Virus meningoencephalitis, multiple sclerosis, rabies, or Histoplasma meningitis, and 25 controls. Cluster analyses distinguished samples by infection status and moderately by pathogen, with shared and differentiating metabolite patterns observed among diseases. CART analysis predicted infection status with 100% sensitivity and 93% specificity. CONCLUSIONS/SIGNIFICANCE: These preliminary results suggest the potential utility of CSF metabolomics as a rapid screening test to enhance diagnostic accuracies and improve patient outcomes. Public Library of Science 2018-12-17 /pmc/articles/PMC6312347/ /pubmed/30557317 http://dx.doi.org/10.1371/journal.pntd.0007045 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article French, Caitlin D. Willoughby, Rodney E. Pan, Amy Wong, Susan J. Foley, John F. Wheat, L. Joseph Fernandez, Josefina Encarnacion, Rafael Ondrush, Joanne M. Fatteh, Naaz Paez, Andres David, Dan Javaid, Waleed Amzuta, Ioana G. Neilan, Anne M. Robbins, Gregory K. Brunner, Andrew M. Hu, William T. Mishchuk, Darya O. Slupsky, Carolyn M. NMR metabolomics of cerebrospinal fluid differentiates inflammatory diseases of the central nervous system |
title | NMR metabolomics of cerebrospinal fluid differentiates inflammatory diseases of the central nervous system |
title_full | NMR metabolomics of cerebrospinal fluid differentiates inflammatory diseases of the central nervous system |
title_fullStr | NMR metabolomics of cerebrospinal fluid differentiates inflammatory diseases of the central nervous system |
title_full_unstemmed | NMR metabolomics of cerebrospinal fluid differentiates inflammatory diseases of the central nervous system |
title_short | NMR metabolomics of cerebrospinal fluid differentiates inflammatory diseases of the central nervous system |
title_sort | nmr metabolomics of cerebrospinal fluid differentiates inflammatory diseases of the central nervous system |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6312347/ https://www.ncbi.nlm.nih.gov/pubmed/30557317 http://dx.doi.org/10.1371/journal.pntd.0007045 |
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