Evidence map›Paper›PMID 38588947›Full record

ArticleVirologica Sinica2024

Nanobodies against African swine fever virus p72 and CD2v proteins as reagents for developing two cELISAs to detect viral antibodies.

Jiahong Zhu, Qingyuan Liu, Liuya Li, Runyu Zhang, Yueting Chang, Jiakai Zhao, Siyu Liu, Xinyu Zhao, Xu Chen, Yani Sun and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Virologica Sinica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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  5. Review
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  9. Nanobodies in animal infectious disease control: diagnosis and therapy.Frontiers in cellular and infection microbiology · 2025
    Review
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  11. Article
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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

11 authors at 2 institutions in 2 countries.

Jiahong ZhuDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China.
Qingyuan LiuDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China.
Liuya LiDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China.
Runyu ZhangDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China.
Yueting ChangDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China.
Jiakai ZhaoDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China.
Siyu LiuDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China.
Xinyu ZhaoDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China.
Xu ChenDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China.
Yani SunDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China. Electronic address: sunyani@nwsuaf.edu.cn.
Qin ZhaoDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China. Electronic address: qinzhao_2004@nwsuaf.edu.cn.
Northwest A&F University · CNNorth West Agriculture and Forestry University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever virus (ASFV) poses a significant threat to the global swine industry. Currently, there are no effective vaccines or treatments available to combat ASFV infection in pigs. The primary means of controlling the spread of the disease is through rapid detection and subsequent elimination of infected pig. Recently, a lower virulent ASFV isolate with a deleted EP402R gene (CD2v-deleted) has been reported in China, which further complicates the control of ASFV infection in pig farms. Furthermore, an EP402R-deleted ASFV variant has been developed as a potential live attenuated vaccine candidate strain. Therefore, it is crucial to develop detection methods that can distinguish wild-type and EP402R-deleted ASFV infections. In this study, two recombinant ASFV-p72 and -CD2v proteins were expressed using a prokaryotic system and used to immunize Bactrian camels. Subsequently, eight nanobodies against ASFV-p72 and ten nanobodies against ASFV-CD2v were screened. Following the production of these nanobodies with horse radish peroxidase (HRP) fusion proteins, the ASFV-p72-Nb2-HRP and ASFV-CD2v-Nb22-HRP fusions were selected for the development of two competitive ELISAs (cELISAs) to detect anti-ASFV antibodies. The two cELISAs exhibited high sensitivity, good specificity, repeatability, and stability. The coincidence rate between the two cELISAs and commercial ELISA kits was 98.6% and 97.6%, respectively. Collectively, the two cELISA for detecting antibodies against ASFV demonstrated ease of operation, a low cost, and a simple production process. The two cELISAs could determine whether pigs were infected with wild-type or CD2v-deleted ASFV, and could play an important role in monitoring ASFV infections in pig farms.

Indexed as

African Swine FeverAfrican Swine Fever VirusAntibodies, ViralEnzyme-Linked Immunosorbent AssaySingle-Domain AntibodiesAnimalsCamelusCapsid ProteinsChinaSensitivity and SpecificitySwineViral ProteinsAntibodies, Viralcapsid protein p72, African swine fever virusCapsid ProteinsSingle-Domain AntibodiesViral ProteinsAfrican swine fever virus (ASFV)ASFV-CD2vASFV-p72Competitive ELISANanobody-HRP

Identifiers

PMID38588947
PMCPMC11280129
OpenAlexW4394015015

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.