Evidence map›Paper›PMID 32894206›Full record

ArticleGenome biology2020

Variation around the dominant viral genome sequence contributes to viral load and outcome in patients with Ebola virus disease.

Xiaofeng Dong, Jordana Munoz-Basagoiti, Natasha Y Rickett, Georgios Pollakis, William A Paxton, Stephan Günther, Romy Kerber, Lisa F P Ng, Michael J Elmore, N'faly Magassouba and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.5field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

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  11. The evolution of cheating in viruses.Nature communications · 2021
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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 4 countries.

Xiaofeng DongInstitute for Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Jordana Munoz-BasagoitiInstitute for Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Natasha Y RickettInstitute for Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Georgios PollakisInstitute for Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
William A PaxtonInstitute for Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Stephan GüntherBernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Romy KerberBernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Lisa F P NgInstitute for Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Michael J ElmorePublic Health England, Salisbury, UK.
N'faly MagassoubaLaboratoire des fièvres hémorragiques en Guinée, Université Gamal Abdel Nasser de Conakry, Conakry, Guinea.
Miles W CarrollNIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool, UK.
David A MatthewsSchool of Cellular and Molecular Medicine, University of Bristol, Singapore, Singapore.
Julian A HiscoxInstitute for Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK. julian.hiscox@liverpool.ac.uk.ORCID 0000-0002-6582-0275
University of Liverpool · GBBernhard Nocht Institute for Tropical Medicine · DEAgency for Science, Technology and Research · SGGamal Abdel Nasser University of Conakry · GNPublic Health England · GB

Funding

Department of Health
6 · The paper itself

Abstract

backgroundViral load is a major contributor to outcome in patients with Ebola virus disease (EVD), with high values leading to a fatal outcome. Evidence from the 2013-2016 Ebola virus (EBOV) outbreak indicated that different genotypes of the virus can have different phenotypes in patients. Additionally, due to the error-prone nature of viral RNA synthesis in an individual patient, the EBOV genome exists around a dominant viral genome sequence. The minor variants within a patient may contribute to the overall phenotype in terms of viral protein function. To investigate the effects of these minor variants, blood samples from patients with acute EVD were deeply sequenced.

resultsWe examine the minor variant frequency between patients with acute EVD who survived infection with those who died. Non-synonymous differences in viral proteins were identified that have implications for viral protein function. The greatest frequency of substitution was identified at three codon sites in the L gene-which encodes the viral RNA-dependent RNA polymerase (RdRp). Recapitulating this in an assay for virus replication, these substitutions result in aberrant viral RNA synthesis and correlate with patient outcome.

conclusionsTogether, these findings support the notion that in patients who survived EVD, in some cases, the genetic variability of the virus resulted in deleterious mutations that affected viral protein function, leading to reduced viral load. Such mutations may also lead to persistent strains of the virus and be associated with recrudescent infections.

Indexed as

Genome, ViralViral LoadEbolavirusHemorrhagic Fever, EbolaHumansEbola virusEbola virus diseaseEvolutionPatient outcomeVirus genetics

Identifiers

PMID32894206
PMCPMC7475720
OpenAlexW3083900783

What OpenQuestion holds

Textmetadata
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.