Evidence map›Paper›PMID 40303716›Full record

ReviewTransboundary and emerging diseases2023

Porcine Circovirus Type 3: Diagnostics, Genotyping, and Challenges in Vaccine Development.

Stella Pranoto, Hsing-Chieh Wu, Chun-Yen Chu

Abstract readReview
In one paragraph

Review in Transboundary and emerging diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

3 authors.

Stella PranotoInternational Degree Program in Animal Vaccine Technology, International College, National Pingtung University of Science and Technology, Pingtung, Taiwan.ORCID https://orcid.org/0009-0004-3952-2268
Hsing-Chieh WuInternational Degree Program in Animal Vaccine Technology, International College, National Pingtung University of Science and Technology, Pingtung, Taiwan.ORCID https://orcid.org/0000-0002-2054-0288
Chun-Yen ChuInternational Degree Program in Animal Vaccine Technology, International College, National Pingtung University of Science and Technology, Pingtung, Taiwan.ORCID https://orcid.org/0000-0002-5625-8815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine circovirus (PCV) comprises four distinct species, namely, PCV1-4, with considerable differences between them, resulting in limited crossprotection. PCV2 inflicts substantial economic losses on the swine industry. PCV3 was found to have been circulating before its discovery in 2015. PCV3 is suspected of having a comparable impact to PCV2; however, its characterization studies are still underway. The symptoms of PCV3 infection are similar to those of PCV2 infection. However, PCV2 and PCV3 share a maximum amino acid identity of only 37%, which partially explains the inadequacy of the PCV2 vaccine in protecting against PCV3 infection. Swift measures must be taken to control PCV3, including vaccine development, as it also poses a threat to swine populations. This review synthesizes the recent findings on PCV3 in comparison with PCV2 and highlights the prevailing challenges encountered in vaccine development. Various strategies and innovative approaches to producing PCV3 vaccines, such as using RNA particle technology and baculovirus vectors, are also discussed. Addressing research gaps in diagnostic methods, viral isolation, and vaccine development is crucial to controlling this virus, which poses a threat to swine populations.

Indexed as

Circoviridae InfectionsCircovirusSwine DiseasesVaccine DevelopmentViral VaccinesAnimalsGenotypeSwineViral Vaccines

Identifiers

PMID40303716
PMCPMC12016748

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.