Evidence map›Paper›PMID 27309078›Full record

ArticleAvian diseases2016

Antigenic Characterization of H3 Subtypes of Avian Influenza A Viruses from North America.

Elizabeth Bailey, Li-Ping Long, Nan Zhao, Jeffrey S Hall, John A Baroch, Jacqueline Nolting, Lucy Senter, Frederick L Cunningham, G Todd Pharr, Larry Hanson and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Avian diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Antigenic characterization of influenza and SARS-CoV-2 viruses.Analytical and bioanalytical chemistry · 2022
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

13 authors.

Elizabeth BaileyA Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762.
Li-Ping LongA Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762.
Nan ZhaoA Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762.
Jeffrey S HallB U.S. Geological Survey National Wildlife Health Center, Madison, WI 53711.
John A BarochC National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO 80521.
Jacqueline NoltingD Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210.
Lucy SenterE Department of Clinical Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762.
Frederick L CunninghamF Mississippi Field Station, National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Mississippi State, MI 39762.
G Todd PharrA Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762.
Larry HansonA Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762.
Richard SlemonsD Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210.
Thomas J DeLibertoC National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO 80521.
Xiu-Feng WanA Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762.

Funding

Genome Based Influenza Vaccine Strain Selection using Machine LearningR01AI116744 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI WAN, XIUFENG HENRY · 2015 to 2019
$1.9M
NIAID NIH HHS HHSN266200700007CNIAID NIH HHS R01 AI116744
6 · The paper itself

Abstract

Besides humans, H3 subtypes of influenza A viruses (IAVs) can infect various animal hosts, including avian, swine, equine, canine, and sea mammal species. These H3 viruses are both antigenically and genetically diverse. Here, we characterized the antigenic diversity of contemporary H3 avian IAVs recovered from migratory birds in North America. Hemagglutination inhibition (HI) assays were performed on 37 H3 isolates of avian IAVs recovered from 2007 to 2011 using generated reference chicken sera. These isolates were recovered from samples taken in the Atlantic, Mississippi, Central, and Pacific waterfowl migration flyways. Antisera to all the tested H3 isolates cross-reacted with each other and, to a lesser extent, with those to H3 canine and H3 equine IAVs. Antigenic cartography showed that the largest antigenic distance among the 37 avian IAVs is about four units, and each unit corresponds to a 2 log 2 difference in the HI titer. However, none of the tested H3 IAVs cross-reacted with ferret sera derived from contemporary swine and human IAVs. Our results showed that the H3 avian IAVs we tested lacked significant antigenic diversity, and these viruses were antigenically different from those circulating in swine and human populations. This suggests that H3 avian IAVs in North American waterfowl are antigenically relatively stable.

Indexed as

Antigenic VariationAnimalsAnimals, WildAnseriformesChick EmbryoChickensHemagglutination Inhibition TestsHumansInfluenza A virusInfluenza, HumanInfluenza in BirdsNorth AmericaOrthomyxoviridae InfectionsPhylogenyPoultry DiseasesSwineantigenic cartographyavian influenza virusH3influenza A viruslow pathogenic avian influenza virusmigratory flywaymigratory waterfowl

Identifiers

PMID27309078
PMCPMC4911812

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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.