Evidence map›Paper›PMID 38741730›Full record

ReviewFrontiers in microbiology2024

Research progress on the N protein of porcine reproductive and respiratory syndrome virus.

Yajie Zheng, Gan Li, Qin Luo, Huiyang Sha, Hang Zhang, Ruining Wang, Weili Kong, Jiedan Liao, Mengmeng Zhao

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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

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  14. Genetic variation and recombination analysis of theFrontiers in veterinary science · 2024
    Article
  15. 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

9 authors.

Yajie ZhengSchool of Life Science and Engineering, Foshan University, Foshan, China.
Gan LiSchool of Life Science and Engineering, Foshan University, Foshan, China.
Qin LuoSchool of Life Science and Engineering, Foshan University, Foshan, China.
Huiyang ShaSchool of Life Science and Engineering, Foshan University, Foshan, China.
Hang ZhangSchool of Life Science and Engineering, Foshan University, Foshan, China.
Ruining WangCollege of Veterinary Medicine, Henan University of Animal Husbandry and Economy, Zhengzhou, China.
Weili KongGladstone Institutes of Virology and Immunology, University of California, San Francisco, San Francisco, CA, United States.
Jiedan LiaoSchool of Life Science and Engineering, Foshan University, Foshan, China.
Mengmeng ZhaoSchool of Life Science and Engineering, Foshan University, Foshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine reproductive and respiratory syndrome (PRRS) is a highly contagious disease caused by the porcine reproductive and respiratory syndrome virus (PRRSV). PRRSV exhibits genetic diversity and complexity in terms of immune responses, posing challenges for eradication. The nucleocapsid (N) protein of PRRSV, an alkaline phosphoprotein, is important for various biological functions. This review summarizes the structural characteristics, genetic evolution, impact on PRRSV replication and virulence, interactions between viral and host proteins, modulation of host immunity, detection techniques targeting the N protein, and progress in vaccine development. The discussion provides a theoretical foundation for understanding the pathogenic mechanisms underlying PRRSV virulence, developing diagnostic techniques, and designing effective vaccines.

Indexed as

detection techniquesgenetic evolutionporcine reproductive and respiratory syndrome virus N proteinprotein interactionsvaccine development

Identifiers

PMID38741730
PMCPMC11089252

What OpenQuestion holds

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LicenceCC BY
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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.