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Viral Sequences Detection by High-Throughput Sequencing in Cerebrospinal Fluid of Individuals with and without Central Nervous System Disease.

Authors :
Schibler, Manuel
Brito, Francisco
Zanella, Marie-Céline
Zdobnov, Evgeny M.
Laubscher, Florian
L'Huillier, Arnaud G
Ambrosioni, Juan
Wagner, Noémie
Posfay-Barbe, Klara M
Docquier, Mylène
Schiffer, Eduardo
Savoldelli, Georges L.
Fournier, Roxane
Lenggenhager, Lauriane
Cordey, Samuel
Kaiser, Laurent
Source :
Genes; Aug2019, Vol. 10 Issue 8, p625-625, 1p
Publication Year :
2019

Abstract

Meningitis, encephalitis, and myelitis are various forms of acute central nervous system (CNS) inflammation, which can coexist and lead to serious sequelae. Known aetiologies include infections and immune-mediated processes. Despite advances in clinical microbiology over the past decades, the cause of acute CNS inflammation remains unknown in approximately 50% of cases. High-throughput sequencing was performed to search for viral sequences in cerebrospinal fluid (CSF) samples collected from 26 patients considered to have acute CNS inflammation of unknown origin, and 10 patients with defined causes of CNS diseases. In order to better grasp the clinical significance of viral sequence data obtained in CSF, 30 patients without CNS disease who had a lumbar puncture performed during elective spinal anaesthesia were also analysed. One case of human astrovirus (HAstV)-MLB2-related meningitis and disseminated infection was identified. No other viral sequences that can easily be linked to CNS inflammation were detected. Viral sequences obtained in all patient groups are discussed. While some of them reflect harmless viral infections, others result from reagent or sample contamination, as well as index hopping. Altogether, this study highlights the potential of high-throughput sequencing in identifying previously unknown viral neuropathogens, as well as the interpretation issues related to its application in clinical microbiology. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734425
Volume :
10
Issue :
8
Database :
Complementary Index
Journal :
Genes
Publication Type :
Academic Journal
Accession number :
138318969
Full Text :
https://doi.org/10.3390/genes10080625