Evidence map›Paper›PMID 24988306›Full record

ArticlePloS one2014

Bird to human transmission biases and vaccine escape mutants in H5N1 infections.

Kshitij Wagh, Aatish Bhatia, Benjamin D Greenbaum, Gyan Bhanot

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
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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

4 authors at 4 institutions in 1 country.

Kshitij WaghDepartment of Physics, Rutgers the State University of New Jersey, Piscataway, New Jersey, United States of America; The Cancer Institute of New Jersey, New Brunswick, New Jersey, United States of America.
Aatish BhatiaDepartment of Physics, Rutgers the State University of New Jersey, Piscataway, New Jersey, United States of America.
Benjamin D GreenbaumDepartments of Medicine, Division of Hematology and Medical Oncology, and Pathology; and the Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America; The Simons Center for Systems Biology, Institute for Advanced Study, Princeton, New Jersey, United States of America.
Gyan BhanotDepartment of Physics, Rutgers the State University of New Jersey, Piscataway, New Jersey, United States of America; The Cancer Institute of New Jersey, New Brunswick, New Jersey, United States of America; The Simons Center for Systems Biology, Institute for Advanced Study, Princeton, New Jersey, United States of America; Department of Molecular Biology & Biochemistry, Rutgers University, Piscataway, New Jersey, United States of America; BioMaPS Institute, Rutgers University, Piscataway, New Jersey, United States of America.
Center for Systems Biology · USInstitute for Advanced Study · USRutgers Cancer Institute of New JerseyRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe avian influenza A H5N1 virus occasionally infects humans, with high mortality rates. Although all current human infections are from avian-to-human transmission, it has been shown that H5N1 can be evolved to transmit between mammals, and is therefore a pandemic threat. For H5N1 surveillance, it is of interest to identify the avian isolates most likely to infect humans. In this study, we develop a method to identify mutations significantly associated with avian to human transmission.

methodUsing protein sequences for the surface glycoprotein hemagglutinin from avian and human H5N1 isolates in China, Egypt, and Indonesia from the years 1996-2011, we used Principle Component Analysis and a Maximum Likelihood Multinomial method to identify mutations associated with avian to human transmission. In each geographic region, transmission bias residues were identified using two signatures: a) significantly different amino-acid frequencies in human isolates compared to avian isolates from the same year, and b) significantly low probability of neutral evolution of the human isolates from the avian viral pool of the previous year.

resultsIn each geographic region, we find specific transmission bias mutations associated with human infections. These mutations are located in antigenic regions and receptor binding, glycosylation and polybasic cleavage sites of HA. We show that human isolates derive from a limited, subset of the avian pool characterized by geography specific mutations. In Egypt, two of three PCA clusters have very few human isolates but are highly enriched in mutations associated with a vaccine escape mutant H5N1 avian sub-clade that is known to be resistant to the Mexican H5N2 vaccine Furthermore, at these transmission bias associated residues, the mutations characteristic of these two clusters are distinct from those associated with the cluster enriched in human isolates, suggesting that vaccine resistant avian strains are unable to infect humans. Our results are relevant for surveillance and vaccination strategies for human H5N1 infections.

Indexed as

Disease Transmission, InfectiousInfluenza A Virus, H5N1 SubtypeInfluenza, HumanInfluenza in BirdsInfluenza VaccinesMutationAnimalsBirdsHumansInfluenza Vaccines

Identifiers

PMID24988306
PMCPMC4079711
OpenAlexW2078599125

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.