Evidence map›Paper›PMID 30383246›Full record

ArticleThe Journal of infectious diseases2019

Development of a Rhinovirus Inoculum Using a Reverse Genetics Approach.

James E Gern, Wai Ming Lee, Cheri A Swenson, Kazuyuki Nakagome, Iris Lee, Michele Wolff, Kristine Grindle, Steven Sigelman, Stephen B Liggett, Alkis Togias and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Enhanced Neutralizing Antibody Responses to Rhinovirus C and Age-Dependent Patterns of Infection.American journal of respiratory and critical care medicine · 2021
    Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

James E GernDepartments of Pediatrics and Medicine.
Wai Ming LeeDepartments of Pediatrics and Medicine.
Cheri A SwensonDepartments of Pediatrics and Medicine.
Kazuyuki NakagomeDepartments of Pediatrics and Medicine.
Iris LeeDepartments of Pediatrics and Medicine.
Michele WolffDepartments of Pediatrics and Medicine.
Kristine GrindleDepartments of Pediatrics and Medicine.
Steven SigelmanDivision of Allergy, Immunology and Transplantation, National Institute of Allergy and Infectious Disease, National Institutes of Health, Rockford, MD.
Stephen B LiggettDepartment of Internal Medicine and Molecular Pharmacology and Physiology, University of South Florida Morsani College of Medicine, Tampa FL.
Alkis TogiasDivision of Allergy, Immunology and Transplantation, National Institute of Allergy and Infectious Disease, National Institutes of Health, Rockford, MD.
Michael EvansBioinformatics, University of Wisconsin-Madison.
Loren DenlingerDepartments of Pediatrics and Medicine.
Ronald GangnonBioinformatics, University of Wisconsin-Madison.
Yury A BochkovDepartments of Pediatrics and Medicine.
Gina CrisafiDepartments of Pediatrics and Medicine.
University of Wisconsin–Madison · USNational Institute of Allergy and Infectious Diseases · USNational Institutes of Health · USUniversity of South Florida · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Wisconsin Infant Study Cohort (WISC)U19AI104317 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI Irene M Ong · 2013 to 2026
$22.5M
RV-Mediated Mechanisms of Neutrophil Motility /InflammatU19AI070503 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI GERN, JAMES E. · 2006 to 2010
$6.8M
NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1 TR002373NIAID NIH HHS U19 AI070503NIAID NIH HHS U19 AI104317
6 · The paper itself

Abstract

backgroundExperimental inoculation is an important tool for common cold and asthma research. Producing rhinovirus (RV) inocula from nasal secretions has required prolonged observation of the virus donor to exclude extraneous pathogens. We produced a RV-A16 inoculum using reverse genetics and determined the dose necessary to cause moderate colds in seronegative volunteers.

methodsThe consensus sequence of RV-A16 from a previous inoculum was cloned, and inoculum virus was produced using reverse genetics techniques. After safety testing, volunteers were inoculated with either RV-A16 (n = 26) or placebo (n = 10), Jackson cold scores were recorded, and nasal secretions were tested for shedding of RV-A16 ribonucleic acid.

resultsThe reverse genetics process produced infectious virus that was neutralized by specific antisera and had a mutation rate similar to conventional virus growth techniques. The 1000 median tissue culture infectious dose (TCID50) dose produced moderate colds in most individuals with effects similar to that of a previously tested conventional RV-A16 inoculum.

conclusionsReverse genetics techniques produced a RV-A16 inoculum that can cause clinical colds in seronegative volunteers, and they also serve as a stable source of virus for laboratory use. The recombinant production procedures eliminate the need to derive seed virus from nasal secretions, thus precluding introduction of extraneous pathogens through this route.

Indexed as

AdultAntibodies, NeutralizingAntibodies, ViralFemaleHumansMaleMucusPicornaviridae InfectionsReverse GeneticsRhinovirusAntibodies, NeutralizingAntibodies, Viralcommon coldinoculationreverse geneticsrhinovirus

Identifiers

PMID30383246
PMCPMC6581892
OpenAlexW2899285412

What OpenQuestion holds

Textmetadata
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.