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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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.
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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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