Evidence map›Paper›PMID 35019069›Full record

ArticleMemorias do Instituto Oswaldo Cruz2022

Identification and characterisation of SARS-CoV-2 and Human alphaherpesvirus 1 from a productive coinfection in a fatal COVID-19 case.

Alice Laschuk Herlinger, Fábio Luís Lima Monteiro, Mirela D'arc, Filipe Romero Rebello Moreira, Harrison James Westgarth, Rafael Mello Galliez, Diana Mariani, Luciana Jesus da Costa, Luiz Gonzaga Paula de Almeida, Carolina Moreira Voloch and 11 more

Open access · diamondAbstract read
In one paragraph

Article in Memorias do Instituto Oswaldo Cruz, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
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

21 authors at 5 institutions in 1 country.

Alice Laschuk HerlingerUniversidade Federal do Rio de Janeiro, Instituto de Biologia, Departamento de Genética, Laboratório de Virologia Molecular, Rio de Janeiro, RJ, Brasil.
Fábio Luís Lima MonteiroUniversidade Federal do Rio de Janeiro, Instituto de Biologia, Departamento de Genética, Laboratório de Virologia Molecular, Rio de Janeiro, RJ, Brasil.
Mirela D'arcUniversidade Federal do Rio de Janeiro, Instituto de Biologia, Departamento de Genética, Laboratório de Diversidade e Doenças Virais, Rio de Janeiro, RJ, Brasil.
Filipe Romero Rebello MoreiraUniversidade Federal do Rio de Janeiro, Instituto de Biologia, Departamento de Genética, Laboratório de Virologia Molecular, Rio de Janeiro, RJ, Brasil.
Harrison James WestgarthUniversidade Federal do Rio de Janeiro, Instituto de Biologia, Departamento de Genética, Laboratório de Virologia Molecular, Rio de Janeiro, RJ, Brasil.
Rafael Mello GalliezHospital Federal dos Servidores do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.
Diana MarianiUniversidade Federal do Rio de Janeiro, Instituto de Biologia, Departamento de Genética, Laboratório de Virologia Molecular, Rio de Janeiro, RJ, Brasil.
Luciana Jesus da CostaUniversidade Federal do Rio de Janeiro, Instituto de Microbiologia Paulo de Góes, Departamento de Virologia, Laboratório de Genética e Imunologia das Infecções Virais, Rio de Janeiro, RJ, Brasil.
Luiz Gonzaga Paula de AlmeidaLaboratório Nacional de Computação Científica, Laboratório de Bioinformática, Petrópolis, Brasil.
Carolina Moreira VolochUniversidade Federal do Rio de Janeiro, Instituto de Biologia, Departamento de Genética, Laboratório de Virologia Molecular, Rio de Janeiro, RJ, Brasil.
Adriana Suely de Oliveira MeloInstituto de Pesquisa Professor Amorim Neto, Campina Grande, PB, Brasil.
Renato Santana de AguiarUniversidade Federal de Minas Gerais, Instituto de Ciências Biológicas, Departamento de Genética, Ecologia e Evolução, Belo Horizonte, MG, Brasil.
André Felipe Andrade Dos SantosUniversidade Federal do Rio de Janeiro, Instituto de Biologia, Departamento de Genética, Laboratório de Diversidade e Doenças Virais, Rio de Janeiro, RJ, Brasil.
Terezinha Marta Pereira Pinto CastiñeirasUniversidade Federal do Rio de Janeiro, Faculdade de Medicina, Departamento de Doenças Infecciosas e Parasitárias, Rio de Janeiro, RJ, Brasil.
Ana Tereza Ribeiro de VasconcelosLaboratório Nacional de Computação Científica, Laboratório de Bioinformática, Petrópolis, Brasil.
Esaú Custódio João FilhoHospital Federal dos Servidores do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.
Claudia Caminha EscosteguyHospital Federal dos Servidores do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.
Orlando da Costa Ferreira JuniorUniversidade Federal do Rio de Janeiro, Instituto de Biologia, Departamento de Genética, Laboratório de Virologia Molecular, Rio de Janeiro, RJ, Brasil.
Amilcar TanuriUniversidade Federal do Rio de Janeiro, Instituto de Biologia, Departamento de Genética, Laboratório de Virologia Molecular, Rio de Janeiro, RJ, Brasil.
Luiza Mendonça HigaUniversidade Federal do Rio de Janeiro, Instituto de Biologia, Departamento de Genética, Laboratório de Virologia Molecular, Rio de Janeiro, RJ, Brasil.ORCID 0000-0003-2622-534X
Covid19-UFRJ WorkgroupUniversidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.
Universidade Federal do Rio de Janeiro · BRHospital Federal dos Servidores do Estado · BRLaboratório Nacional de Computação Científica · BRInstituto de Pesquisa Ambiental da Amazônia · BRUniversidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring routine Coronavirus disease 2019 (COVID-19) diagnosis, an unusually high viral load was detected by reverse transcription real-time polymerase chain reaction (RT-qPCR) in a nasopharyngeal swab sample collected from a patient with respiratory and neurological symptoms who rapidly succumbed to the disease. Therefore we sought to characterise the infection.

objectivesWe aimed to determine and characterise the etiological agent responsible for the poor outcome.

methodsClassical virological methods, such as plaque assay and plaque reduction neutralisation test combined with amplicon-based sequencing, as well as a viral metagenomic approach, were performed to characterise the etiological agents of the infection.

findingsPlaque assay revealed two distinct plaque phenotypes, suggesting either the presence of two severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) strains or a productive coinfection of two different species of virus. Amplicon-based sequencing did not support the presence of any SARS-CoV-2 genetic variants that would explain the high viral load and suggested the presence of a single SARS-CoV-2 strain. Nonetheless, the viral metagenomic analysis revealed that Coronaviridae and Herpesviridae were the predominant virus families within the sample. This finding was confirmed by a plaque reduction neutralisation test and PCR. MAIN

conclusionsWe characterised a productive coinfection of SARS-CoV-2 and Herpes simplex virus 1 (HSV-1) in a patient with severe symptoms that succumbed to the disease. Although we cannot establish the causal relationship between the coinfection and the severity of the clinical case, this work serves as a warning for future studies focused on the interplay between SARS-CoV-2 and HSV-1 coinfection and COVID-19 severity.

Indexed as

CoinfectionCOVID-19Herpesvirus 1, HumanHumansReal-Time Polymerase Chain ReactionSARS-CoV-2

Identifiers

PMID35019069
PMCPMC8752051
OpenAlexW4205953215

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.