Evidence map›Paper›PMID 36003947›Full record

ArticleFrontiers in microbiology2022

Development and characterization of influenza M2 ectodomain and/or hemagglutinin stalk-based dendritic cell-targeting vaccines.

Titus Abiola Olukitibi, Zhujun Ao, Hiva Azizi, Mona Mahmoudi, Kevin Coombs, Darwyn Kobasa, Gary Kobinger, Xiaojian Yao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

6 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

8 authors at 3 institutions in 2 countries.

Titus Abiola OlukitibiLaboratory of Molecular Human Retrovirology, University of Manitoba, Winnipeg, MB, Canada.
Zhujun AoLaboratory of Molecular Human Retrovirology, University of Manitoba, Winnipeg, MB, Canada.
Hiva AziziCentre de Recherche en Infectiologie de l'Université Laval, Centre Hospitalier de l'Université Laval, Québec, QC, Canada.
Mona MahmoudiLaboratory of Molecular Human Retrovirology, University of Manitoba, Winnipeg, MB, Canada.
Kevin CoombsDepartment of Medical Microbiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Darwyn KobasaDepartment of Medical Microbiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Gary KobingerCentre de Recherche en Infectiologie de l'Université Laval, Centre Hospitalier de l'Université Laval, Québec, QC, Canada.
Xiaojian YaoLaboratory of Molecular Human Retrovirology, University of Manitoba, Winnipeg, MB, Canada.
University of Manitoba · CACentre hospitalier de l'Université Laval · CAGalveston College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A universal influenza vaccine is required for broad protection against influenza infection. Here, we revealed the efficacy of novel influenza vaccine candidates based on Ebola glycoprotein dendritic cell (DC)-targeting domain (EΔM) fusion protein technology. The four copies of ectodomain matrix protein of influenza (tM2e) or M2e hemagglutinin stalk (HA stalk) peptides (HM2e) were fused with EΔM to generate EΔM-tM2e or EΔM-HM2e, respectively. We demonstrated that EΔM-HM2e- or EΔM-tM2e-pseudotyped viral particles can efficiently target DC/macrophages

Indexed as

DC targetingebola glycoprotein GPextracellular matrix proteinhemagglutinin stalkuniversal influenza A vaccine

Identifiers

PMID36003947
PMCPMC9393625
OpenAlexW4290614461

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.