Cerebrospinal fluid neopterin as a biomarker of neuroinflammatory diseases.
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...
| Autores: | , , , , , , , , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:2445/186686 |
| Acceso en línea: | https://hdl.handle.net/2445/186686 |
| Access Level: | acceso abierto |
| Palabra clave: | Líquid cefalorraquidi Neopterina Virologia Cromatografia Cerebrospinal fluid Neopterin Virology Chromatography |
| Sumario: | 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. |
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