Evidence map›Paper›PMID 29159597›Full record

ReviewFrontiers of medicine2017

Universal influenza virus vaccines: what can we learn from the human immune response following exposure to H7 subtype viruses?

Daniel Stadlbauer, Raffael Nachbagauer, Philip Meade, Florian Krammer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Frontiers of medicine, 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
1.6field-weighted citation impact, top 16% 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, 10 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

4 authors at 2 institutions in 2 countries.

Daniel StadlbauerDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10024, USA.
Raffael NachbagauerDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10024, USA.
Philip MeadeDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10024, USA.
Florian KrammerDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10024, USA. florian.krammer@mssm.edu.
Icahn School of Medicine at Mount Sinai · USBOKU University · AT

Funding

Antibody responses in humans after infection with avian influenza virusesR01AI128821 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KRAMMER, FLORIAN · 2017 to 2021
$1.0M
NIAID NIH HHS R01 AI128821
6 · The paper itself

Abstract

Several universal influenza virus vaccine candidates based on eliciting antibodies against the hemagglutinin stalk domain are in development. Typically, these vaccines induce responses that target group 1 or group 2 hemagglutinins with little to no cross-group reactivity and protection. Similarly, the majority of human anti-stalk monoclonal antibodies that have been isolated are directed against group 1 or group 2 hemagglutinins with very few that bind to hemagglutinins of both groups. Here we review what is known about the human humoral immune response to vaccination and infection with H7 subtype influenza viruses on a polyclonal and monoclonal level. It seems that unlike vaccination with H5 hemagglutinin, which induces antibody responses mostly restricted to the group 1 stalk domain, H7 exposure induces both group 2 and cross-group antibody responses. A better understanding of this phenomenon and the underlying mechanisms might help to develop future universal influenza virus vaccine candidates.

Indexed as

Influenza, HumanAntibodies, MonoclonalDrug DiscoveryHumansInfluenza A Virus, H7N9 SubtypeInfluenza VaccinesVirus Physiological PhenomenaAntibodies, MonoclonalInfluenza VaccinesH7N9hemagglutinin stalkuniversal influenza virus vaccine

Identifiers

PMID29159597
OpenAlexW2770843923

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.