Evidence map›Paper›PMID 31319177›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2019

Genomic characterization of mumps viruses from a large-scale mumps outbreak in Arkansas, 2016.

Duah Alkam, Piroon Jenjaroenpun, Thidathip Wongsurawat, Zulema Udaondo, Preecha Patumcharoenpol, Michael Robeson, Dirk Haselow, William Mason, Intawat Nookaew, David Ussery and 1 more

Open access · greenAbstract read
In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 13 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

11 authors at 2 institutions in 1 country.

Duah AlkamDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, USA. Electronic address: dhalkam@uams.edu.
Piroon JenjaroenpunDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, USA. Electronic address: pjenjaroenpun@uams.edu.
Thidathip WongsurawatDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, USA. Electronic address: twongsurawat@uams.edu.
Zulema UdaondoDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, USA. Electronic address: ZDominguez@uams.edu.
Preecha PatumcharoenpolDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, USA. Electronic address: preecha.pa@ku.th.
Michael RobesonDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, USA. Electronic address: mrobeson@uams.edu.
Dirk HaselowArkansas Department of Health, 4815 W Markham St, Little Rock, AR 72205, USA. Electronic address: dirk.haselow@arkansas.gov.
William MasonArkansas Department of Health, 4815 W Markham St, Little Rock, AR 72205, USA. Electronic address: wmason27@comcast.net.
Intawat NookaewDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, USA; Department of Physiology and Biophysics, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, USA. Electronic address: inookaew@uams.edu.
David UsseryDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, USA; Department of Physiology and Biophysics, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, USA. Electronic address: dwussery@uams.edu.
Se-Ran JunDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, USA. Electronic address: sjun@uams.edu.
University of Arkansas for Medical Sciences · USArkansas Department of Health · US

Funding

Understanding the Negative Prognostic Impact of Intraosseous Focal Lesions in Multiple MyelomaP20GM125503 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI CHARLES A O'BRIEN · 2018 to 2026
$23.0M
Expanding Translational Research in ArkansasUL1TR003107 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2019 to 2023
$21.6M
Arkansas Center for Clinical and Translational ResearchUL1TR000039 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI BECK, CORNELIA MARIE, JAMES, LAURA P · 2012 to 2014
$10.0M
Scientific CoreP30AG024928 · NIA · PRINCETON UNIVERSITY · PI CURRIE, JANET M. · 2004 to 2018
$5.2M
NCATS NIH HHS UL1 TR000039NCATS NIH HHS UL1 TR003107NIA NIH HHS P30 AG024928NIGMS NIH HHS P20 GM125503
6 · The paper itself

Abstract

In 2016, a year-long large-scale mumps outbreak occurred in Arkansas among a highly-vaccinated population. A total of 2954 mumps cases were identified during this outbreak. The majority of cases (1676 (57%)) were school-aged children (5-17 years), 1536 (92%) of these children had completed the mumps vaccination schedule. To weigh the possibility that the mumps virus evaded vaccine-induced immunity in the affected Arkansas population, we established a pipeline for genomic characterization of the outbreak strains. Our pipeline produces whole-genome sequences along with phylogenetic analysis of the outbreak mumps virus strains. We collected buccal swab samples of patients who tested positive for the mumps virus during the 2016 Arkansas outbreak, and used the portable Oxford Nanopore Technology to sequence the extracted strains. Our pipeline identified the genotype of the Arkansas mumps strains as genotype G and presented a genome-based phylogenetic tree with superior resolution to a standard small hydrophobic (SH) gene-based tree. We phylogenetically compared the Arkansas whole-genome sequences to all publicly available mumps strains. While these analyses show that the Arkansas mumps strains are evolutionarily distinct from the vaccine strains, we observed no correlation between vaccination history and phylogenetic grouping. Furthermore, we predicted potential B-cell epitopes encoded by the Arkansas mumps strains using a random forest prediction model trained on antibody-antigen protein structures. Over half of the predicted epitopes of the Jeryl-Lynn vaccine strains in the Hemagglutinin-Neuraminidase (HN) surface glycoprotein (a major target of neutralizing antibodies) region are missing in the Arkansas mumps strains. In-silico analyses of potential epitopes may indicate that the Arkansas mumps strains display antigens with reduced immunogenicity, which may contribute to reduced vaccine effectiveness. However, our in-silico findings should be assessed by robust experiments such as cross neutralization assays. Metadata analysis showed that vaccination history had no effect on the evolution of the Arkansas mumps strains during this outbreak. We conclude that the driving force behind the spread of the mumps virus in the 2016 Arkansas outbreak remains undetermined.

Indexed as

Disease OutbreaksAntibodies, NeutralizingAntibodies, ViralArkansasGenome, ViralGenotypeHumansMumpsMumps VaccineMumps virusNeutralization TestsPhylogenyAntibodies, NeutralizingAntibodies, ViralMumps VaccineEpitope predictionMumps outbreakVaccinationVirus resurgence

Identifiers

PMID31319177
PMCPMC6832845
OpenAlexW2962524211

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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.