Cerebrospinal fluid neopterin as a biomarker of neuroinflammatory diseases.

dc.contributor.author
Molero Luis, Marta
dc.contributor.author
Casas Alba, Dídac
dc.contributor.author
Orellana, Gabriela
dc.contributor.author
Ormazabal Herrero, Aida
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Sierra, Cristina
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Oliva, Clara
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Valls, Anna
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Velasco, Jesus
dc.contributor.author
Launes Montaña, Cristian
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Cuadras, Daniel
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Pérez Dueñas, Belén
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Jordán García, Iolanda
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Cambra Lasaosa, Francisco José
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Ortigoza Escobar, Juan D.
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Muñoz Almagro, Carmen
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Garcia-Cazorla, Àngels
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Armangué, Thaís
dc.contributor.author
Artuch Iriberri, Rafael
dc.date.issued
2022-06-15T15:49:53Z
dc.date.issued
2022-06-15T15:49:53Z
dc.date.issued
2020-10-26
dc.date.issued
2022-06-15T15:49:53Z
dc.identifier
2045-2322
dc.identifier
https://hdl.handle.net/2445/186686
dc.identifier
715275
dc.identifier
33106568
dc.description.abstract
The elevation of neopterin in cerebrospinal fuid (CSF) has been reported in several neuroinfammatory disorders. However, it is not expected that neopterin alone can discriminate among diferent neuroinfammatory etiologies. We conducted an observational retrospective and case-control study to analyze the CSF biomarkers neopterin, total proteins, and leukocytes in a large cohort of pediatric patients with neuroinfammatory disorders. CSF samples from 277 subjects were included and classifed into four groups: Viral meningoencephalitis, bacterial meningitis, acquired immunemediated disorders, and patients with no-immune diseases (control group). CSF neopterin was analyzed with high-performance liquid chromatography. Microbiological diagnosis included bacterial CSF cultures and several specifc real-time polymerase chain reactions. Molecular testing for multiple respiratory pathogens was also included. Antibodies against neuronal and glial proteins were tested. Canonical discriminant analysis of the three biomarkers was conducted to establish the best discriminant functions for the classifcation of the diferent clinical groups. Model validation was done by biomarker analyses in a new cohort of 95 pediatric patients. CSF neopterin displayed the highest values in the viral and bacterial infection groups. By applying canonical discriminant analysis, it was possible to classify the patients into the diferent groups. Validation analyses displayed good results for neuropediatric patients with no-immune diseases and for viral meningitis patients, followed by the other groups. This study provides initial evidence of a more efcient approach to promote the timely classifcation of patients with viral and bacterial infections and acquired autoimmune disorders. Through canonical equations, we have validated a new tool that aids in the early and diferential diagnosis of these neuroinfammatory conditions.
dc.format
9 p.
dc.format
application/pdf
dc.language
eng
dc.publisher
Nature Publishing Group
dc.relation
Reproducció del document publicat a: https://doi.org/10.1038/s41598-020-75500-z
dc.relation
Scientific Reports, 2020, vol. 10, num. 1, p. 18291-18291
dc.relation
https://doi.org/10.1038/s41598-020-75500-z
dc.rights
cc-by (c) Molero Luis, Marta et al., 2020
dc.rights
https://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Cirurgia i Especialitats Medicoquirúrgiques)
dc.subject
Líquid cefalorraquidi
dc.subject
Neopterina
dc.subject
Virologia
dc.subject
Cromatografia
dc.subject
Cerebrospinal fluid
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Neopterin
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Virology
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Chromatography
dc.title
Cerebrospinal fluid neopterin as a biomarker of neuroinflammatory diseases.
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


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