Evidence map›Paper›PMID 36560663›Full record

ArticleViruses2022

Indirect ELISA Using Multi-Antigenic Dominants of p30, p54 and p72 Recombinant Proteins to Detect Antibodies against African Swine Fever Virus in Pigs.

Dexin Li, Qin Zhang, Yutian Liu, Miaoli Wang, Lei Zhang, Liyuan Han, Xuefei Chu, Guofei Ding, Yingchao Li, Yanmeng Hou and 3 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  16. Human and animal exposure to newly discovered sand fly viruses, China.Frontiers in cellular and infection microbiology · 2023
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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

13 authors at 3 institutions in 1 country.

Dexin LiDepartment of Fundamental Veterinary Medicine, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, 61 Daizong Street, Tai'an 271018, China.
Qin ZhangDepartment of Fundamental Veterinary Medicine, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, 61 Daizong Street, Tai'an 271018, China.
Yutian LiuChina Animal Health and Epidemiology Center, Qingdao 266032, China.
Miaoli WangShandong Center Animal Disease Prevention and Control, Jinan 250100, China.
Lei ZhangDepartment of Fundamental Veterinary Medicine, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, 61 Daizong Street, Tai'an 271018, China.
Liyuan HanDepartment of Fundamental Veterinary Medicine, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, 61 Daizong Street, Tai'an 271018, China.
Xuefei ChuDepartment of Fundamental Veterinary Medicine, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, 61 Daizong Street, Tai'an 271018, China.
Guofei DingDepartment of Fundamental Veterinary Medicine, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, 61 Daizong Street, Tai'an 271018, China.ORCID 0000-0002-7723-5567
Yingchao LiDepartment of Fundamental Veterinary Medicine, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, 61 Daizong Street, Tai'an 271018, China.
Yanmeng HouDepartment of Fundamental Veterinary Medicine, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, 61 Daizong Street, Tai'an 271018, China.
Sidang LiuDepartment of Fundamental Veterinary Medicine, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, 61 Daizong Street, Tai'an 271018, China.
Zhiliang WangChina Animal Health and Epidemiology Center, Qingdao 266032, China.
Yihong XiaoDepartment of Fundamental Veterinary Medicine, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, 61 Daizong Street, Tai'an 271018, China.ORCID 0000-0002-0857-8080
Shandong Agricultural University · CNChina Animal Health and Epidemiology Center · CNShandong Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever (ASF) caused by ASF virus (ASFV) is a fatal disease in pigs and results in great economic losses. Due to the lack of available vaccines and treatments, serological diagnosis of ASF plays a key role in the surveillance program, but due to the lack of knowledge and the complexity of the ASFV genome, the candidate target viral proteins are still being researched. False negativity is still a big obstacle during the diagnostic process. In this study, the high antigenic viral proteins p30, p54 and p72 were screened to find the antigenic dominant domains and the tandem His-p30-54-72 was derived. An indirect enzyme-linked immunosorbent assay (iELISA) coated with His-p30-54-72 was developed with a cut-off value of 0.371. A total of 192 clinical samples were detected by His-p30-54-72-coated indirect ELISA (iELISA) and commercial ASFV antibody kits. The results showed that the positive rate of His-p30-54-72-coated iELISA was increased by 4.7% and 14.6% compared with a single viral protein-based commercial ASFV antibody kits. These results provide a platform for future ASFV clinical diagnosis and vaccine immune effect evaluation.

Indexed as

African Swine FeverAfrican Swine Fever VirusAnimalsAntibodies, ViralEnzyme-Linked Immunosorbent AssayRecombinant ProteinsSwineViral ProteinsAntibodies, ViralRecombinant ProteinsViral Proteinsantigenic dominant domainsASFVELISAp30p54p72

Identifiers

PMID36560663
PMCPMC9782230
OpenAlexW4310213934

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.