Evidence map›Paper›PMID 38873162›Full record

ReviewFrontiers in microbiology2024

Research progress of porcine epidemic diarrhea virus S protein.

Haojian Luo, Zhaoping Liang, Junjie Lin, Yiqiao Wang, Yingying Liu, Kun Mei, Mengmeng Zhao, Shujian Huang

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Haojian Luo *School of Life Science and Engineering, Foshan University, Foshan, China.
Zhaoping Liang *College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
Junjie LinSchool of Life Science and Engineering, Foshan University, Foshan, China.
Yiqiao WangSchool of Life Science and Engineering, Foshan University, Foshan, China.
Yingying LiuSchool of Life Science and Engineering, Foshan University, Foshan, China.
Kun MeiSchool of Life Science and Engineering, Foshan University, Foshan, China.
Mengmeng ZhaoSchool of Life Science and Engineering, Foshan University, Foshan, China.
Shujian HuangSchool of Life Science and Engineering, Foshan University, Foshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine epidemic diarrhea virus (PEDV) is a single-stranded RNA virus with a capsid membrane that causes acute infectious gastrointestinal disease characterized by vomiting, diarrhea, and dehydration in swine. Piglets are more susceptible to PEDV than adults, with an infection rate reaching 90% and a fatality rate as high as 100%. Moreover, PEDV has a rapid transmission rate and broad transmission range. Consequently, PEDV has caused considerable economic losses and negatively impacted the sustainability of the pig industry. The surface spike (S) glycoprotein is the largest structural protein in PEDV virions and is closely associated with host cell fusion and virus invasion. As such, the S protein is an important target for vaccine development. In this article, we review the genetic variation, immunity, apoptosis-induction function, virulence, vaccine potential, and other aspects of the PEDV S protein. This review provides a theoretical foundation for preventing and controlling PEDV infection and serves as a valuable resource for further research and development of PEDV vaccines.

Indexed as

genetic variationporcine aminopeptidase Nporcine epidemic diarrheaS proteintrypsin

Identifiers

PMID38873162
PMCPMC11169810

What OpenQuestion holds

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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.