Evidence map›Paper›PMID 36439839›Full record

ArticleFrontiers in microbiology2022

Virus-like particles vaccines based on glycoprotein E0 and E2 of bovine viral diarrhea virus induce Humoral responses.

Ningning Yang, Jiangwei Zhang, Mingguo Xu, Jihai Yi, Zhen Wang, Yong Wang, Chuangfu Chen

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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  9. Detection of emerging HoBi-likeFrontiers in microbiology · 2023
    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

7 authors at 2 institutions in 1 country.

Ningning YangCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Jiangwei ZhangIntelligent Breeding of Livestock and Poultry, Tiemenguan Vocational and Technical College, Tiemenguan, China.
Mingguo XuCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Jihai YiCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Zhen WangCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Yong WangCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Chuangfu ChenCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Shihezi University · CNXinjiang Production and Construction Corps · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine viral diarrhea/mucosal disease (BVD/MD) is a viral infectious disease that seriously endangers the health of cattle herds and brings serious economic losses to the global cattle industry. Virus-like particles (VLPs) are empty shell structures without viral nucleic acid, which are similar to natural virus particles in morphology and structure. Because of their strong immunogenicity and biological activity, some of them have been used as vaccines in clinical trials. In this study, we developed a strategy to generate BVDV (E0 + E2, E2 + E2) VLPs using an insect baculovirus expression vector system (BEVS). The VLPs obtained were detected by immunofluorescence assay (IFA), western blotting analyses and transmission electron microscope (TEM), and the results showed that VLPs of high purity were obtained. Mice immunized with VLPs (15  μg) and Freund's adjuvant (100  μl) elicited higher BVDV-neutralizing antibody in comparison with Freund's adjuvant control (

Indexed as

bovine viral diarrhea virusE0E2vaccinevirus-like particles

Identifiers

PMID36439839
PMCPMC9687372
OpenAlexW4307870216

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.