Evidence map›Paper›PMID 29263887›Full record

ArticleNPJ vaccines2017

Developing a platform system for gene delivery: amplifying virus-like particles (AVLP) as an influenza vaccine.

Huiling Wei, Zhenhai Chen, Andrew Elson, Zhuo Li, Mathew Abraham, Shannon Phan, Sateesh Kristhnamurthy, Paul B McCray, Seth Andrews, Steve Stice and 4 more

Open access · goldAbstract read
In one paragraph

Article in NPJ vaccines, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Molecular therapy. Nucleic acids · 2026
    Article
  2. Article
  3. Topical review on nano-vaccinology: Biochemical promises and key challenges.Process biochemistry (Barking, London, England) · 2021
    Review
  4. Bionanotechnology for vaccine design.Current opinion in biotechnology · 2018
    Review
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

14 authors at 2 institutions in 1 country.

Huiling Wei *Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602 USA.
Zhenhai Chen *Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602 USA.
Andrew ElsonDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602 USA.
Zhuo LiDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602 USA.
Mathew AbrahamDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602 USA.
Shannon PhanDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602 USA.
Sateesh KristhnamurthyDepartment of Pediatrics, Pappajohn Biomedical Institute, University of Iowa, Iowa City, IA 52242 USA.
Paul B McCrayDepartment of Pediatrics, Pappajohn Biomedical Institute, University of Iowa, Iowa City, IA 52242 USA.
Seth AndrewsRhodes Center for Animal and Dairy Science, The University of Georgia, Athens, GA 30602 USA.
Steve SticeRhodes Center for Animal and Dairy Science, The University of Georgia, Athens, GA 30602 USA.
Kaori SakamotoDepartment of Pathology, College of Veterinary Medicine, The University of Georgia, Athens, GA 30602 USA.
Cheryl JonesDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602 USA.
S Mark TompkinsDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602 USA.
Biao HeDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602 USA.
University of Georgia · USUniversity of Iowa · US

Funding

Vector CoreP01HL051670 · NHLBI · UNIVERSITY OF IOWA · PI MCCRAY, PAUL B · 1993 to 2019
$36.5M
Respiratory virus infection in early cystic fibrosis lung diseaseP01HL091842 · NHLBI · UNIVERSITY OF IOWA · PI ZABNER, JOSEPH · 2008 to 2022
$34.2M
Vector Core-Core 2P30DK054759 · NIDDK · UNIVERSITY OF IOWA · PI Amy Leanne Ryan · 1998 to 2026
$30.5M
SARS-CoV Proteins in Heterologous Viral InfectionP01AI060699 · NIAID · UNIVERSITY OF IOWA · PI PERLMAN, STANLEY · 2004 to 2021
$21.5M
NHLBI NIH HHS P01 HL051670NHLBI NIH HHS P01 HL091842NIAID NIH HHS P01 AI060699NIDDK NIH HHS P30 DK054759
6 · The paper itself

Abstract

Delivery of a gene of interest to target cells is highly desirable for translational medicine, such as gene therapy, regenerative medicine, vaccine development, and studies of gene function. Parainfluenza virus 5 (PIV5), a paramyxovirus with a negative-sense RNA genome, normally infects cells without causing obvious cytopathic effect, and it can infect many cell types. To exploit these features of PIV5, we established a system generating self-amplifying, virus-like particles (AVLP). Using enhanced green fluorescent protein (EGFP) as a reporter, AVLP encoding EGFP (AVLP-EGFP) successfully delivered and expressed the EGFP gene in primary human cells, including stem cells, airway epithelial cells, monocytes, and T cells. To demonstrate the application of this system for vaccine development, we generated AVLPs to express the HA and M1 antigens from the influenza A virus strain H5N1 (AVLP-H5 and AVLP-M1H5). Immunization of mice with AVLP-H5 and AVLP-M1H5 generated robust antibody and cellular immune responses. Vaccination with a single dose of AVLP-H5 and M1H5 completely protected mice against lethal H5N1 challenge, suggesting that the AVLP-based system is a promising platform for delivery of desirable genes.

Identifiers

PMID29263887
PMCPMC5696535
OpenAlexW2766297779

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.