Evidence map›Paper›PMID 38438704›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2024

Hybrid capture shotgun sequencing detected unexpected viruses in the cerebrospinal fluid of children with acute meningitis and encephalitis.

Cristian Launes, Juan Camacho, Marina Pons-Espinal, F Xavier López-Labrador, Cristina Esteva, María Cabrerizo, María Dolores Fernández-García, Marta Fogeda, Josefa Masa-Calles, Noemí López-Perea and 3 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Cristian LaunesInstitut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Barcelona, Spain.
Juan CamachoCentro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda- Pozuelo km 2, 28220, Majadahonda, Spain.
Marina Pons-EspinalInstitut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Barcelona, Spain.
F Xavier López-LabradorCIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Cristina EstevaInstitut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Barcelona, Spain.
María CabrerizoCIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.
María Dolores Fernández-GarcíaCIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Marta FogedaHologic Iberia SL, Madrid, Spain.
Josefa Masa-CallesCIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Noemí López-PereaCIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Juan Emilio EchevarríaCIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Carmen Muñoz-AlmagroInstitut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Barcelona, Spain.
David TarragóCIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain. davtarrago@isciii.es.ORCID http://orcid.org/0000-0002-1298-3089
Instituto de Salud Carlos III · ESHospital Sant Joan de Déu Barcelona · ESCentro Nacional de Microbiologia · ESIberia (Spain) · ESUniversitat de València · ES

Funding

CIBER Epidemiology and Public Health, Instituto de Salud Carlos III (ES) CIBERESP21PI05
6 · The paper itself

Abstract

purposeInvestigation of undiagnosed cases of infectious neurological diseases, especially in the paediatric population, remains a challenge. This study aimed to enhance understanding of viruses in CSF from children with clinically diagnosed meningitis and/or encephalitis (M/ME) of unknown aetiology using shotgun sequencing enhanced by hybrid capture (HCSS).

methodsA single-centre prospective study was conducted at Sant Joan de Déu University Hospital, Barcelona, involving 40 M/ME episodes of unknown aetiology, recruited from May 2021 to July 2022. All participants had previously tested negative with the FilmArray Meningitis/Encephalitis Panel. HCSS was used to detect viral nucleic acid in the patients' CSF. Sequencing was performed on Illumina NovaSeq platform. Raw sequence data were analysed using CZ ID metagenomics and PikaVirus bioinformatics pipelines.

resultsForty episodes of M/ME of unknown aetiology in 39 children were analysed by HCSS. A significant viral detection in 30 CSF samples was obtained, including six parechovirus A, three enterovirus ACD, four polyomavirus 5, three HHV-7, two BKV, one HSV-1, one VZV, two CMV, one EBV, one influenza A virus, one rhinovirus, and 13 HERV-K113 detections. Of these, one sample with BKV, three with HHV-7, one with EBV, and all HERV-K113 were confirmed by specific PCR. The requirement for Intensive Care Unit admission was associated with HCSS detections.

conclusionThis study highlights HCSS as a powerful tool for the investigation of undiagnosed cases of M/ME. Data generated must be carefully analysed and reasonable precautions must be taken before establishing association of clinical features with unexpected or novel virus findings.

Indexed as

MetagenomicsVirusesAdolescentCerebrospinal FluidChildChild, PreschoolEncephalitisEncephalitis, ViralFemaleHigh-Throughput Nucleotide SequencingHumansInfantMaleMeningitisMeningitis, ViralProspective StudiesBK virus, Epstein-Barr virus (EBV)Cerebrospinal fluid (CSF)Human endogenous retrovirus K-113 (HERV-K113)Human herpesvirus 7 (HHV-7)Paediatric meningitis and/or encephalitis (M/ME)Undiagnosed viral meningoencephalitisViral metagenomics

Identifiers

PMID38438704
PMCPMC11108891
OpenAlexW4392383171

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.