Evidence map›Paper›PMID 28468861›Full record

ArticleJournal of clinical microbiology2017

Detection of Emerging Vaccine-Related Polioviruses by Deep Sequencing.

Malaya K Sahoo, Marisa Holubar, ChunHong Huang, Alisha Mohamed-Hadley, Yuanyuan Liu, Jesse J Waggoner, Stephanie B Troy, Lourdes Garcia-Garcia, Leticia Ferreyra-Reyes, Yvonne Maldonado and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2017. 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
2.0field-weighted citation impact, top 12% 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, 15 citations in OpenAlex.

  1. Protocol Paper: Oral Poliovirus Vaccine Transmissibility in Communities After Cessation of Routine Oral Poliovirus Vaccine Immunization.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Trial
  2. Review
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  8. Observational
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

11 authors at 3 institutions in 2 countries.

Malaya K SahooDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA.
Marisa HolubarDepartment of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
ChunHong HuangDepartment of Pediatrics, Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, USA.
Alisha Mohamed-HadleyDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA.
Yuanyuan LiuDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA.
Jesse J WaggonerDepartment of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Stephanie B TroyEastern Virginia Medical School, Norfolk, Virginia, USA.
Lourdes Garcia-GarciaInstituto Nacional de Salud Pública, Cuernavaca, Morelos, Mexico.
Leticia Ferreyra-ReyesInstituto Nacional de Salud Pública, Cuernavaca, Morelos, Mexico.
Yvonne MaldonadoDepartment of Pediatrics, Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, USA.
Benjamin A PinskyDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA bpinsky@stanford.edu.ORCID 0000-0001-8751-4810
Stanford University · USInstituto Nacional de Salud Pública · MXEastern Virginia Medical School · US

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Global Epidemiology of Infectious DiseasesT32AI052073 · NIAID · STANFORD UNIVERSITY · PI Angelle Desiree LaBeaud, Stephen Patrick Luby · 2003 to 2026
$4.2M
NCATS NIH HHS UL1 TR001085NIAID NIH HHS T32 AI052073
6 · The paper itself

Abstract

Oral poliovirus vaccine can mutate to regain neurovirulence. To date, evaluation of these mutations has been performed primarily on culture-enriched isolates by using conventional Sanger sequencing. We therefore developed a culture-independent, deep-sequencing method targeting the 5' untranslated region (UTR) and P1 genomic region to characterize vaccine-related poliovirus variants. Error analysis of the deep-sequencing method demonstrated reliable detection of poliovirus mutations at levels of <1%, depending on read depth. Sequencing of viral nucleic acids from the stool of vaccinated, asymptomatic children and their close contacts collected during a prospective cohort study in Veracruz, Mexico, revealed no vaccine-derived polioviruses. This was expected given that the longest duration between sequenced sample collection and the end of the most recent national immunization week was 66 days. However, we identified many low-level variants (<5%) distributed across the 5' UTR and P1 genomic region in all three Sabin serotypes, as well as vaccine-related viruses with multiple canonical mutations associated with phenotypic reversion present at high levels (>90%). These results suggest that monitoring emerging vaccine-related poliovirus variants by deep sequencing may aid in the poliovirus endgame and efforts to ensure global polio eradication.

Indexed as

High-Throughput Nucleotide SequencingMutationChild, PreschoolFecesFemaleGenetic VariationHumansInfantMaleMexicoPoliovirusPoliovirus Vaccine, OralProspective StudiesPoliovirus Vaccine, Oralenterovirushigh-throughput nucleotide sequencingmolecular methodsoraloral vaccinespolioviruspoliovirus vaccine

Identifiers

PMID28468861
PMCPMC5483918
OpenAlexW2611766629

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.