Evidence map›Paper›PMID 40573369›Full record

ArticleViruses2025

Development of a Triplex Real-Time PCR Method for the Simultaneous Detection of Porcine Circovirus 2, 3, and 4 in China Between 2023 and 2024.

Yanhong Chen, Yi Lu, Dongfan Li, Ling Dong, Yang Zeng, Zhijing Mei, Ahmed H Ghonaim, Usama, Zhixian Yu, Shuo Zhang and 4 more

Abstract read
In one paragraph

Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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  3. 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

14 authors.

Yanhong ChenNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
Yi LuNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
Dongfan LiNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
Ling DongNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
Yang ZengNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
Zhijing MeiNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
Ahmed H GhonaimNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0002-6922-1798
UsamaNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0009-0006-0013-9311
Zhixian YuYunnan Southwest Agriculture and Animal Husbandry Group Co., Ltd., Kunming 650000, China.
Shuo ZhangYunnan Southwest Agriculture and Animal Husbandry Group Co., Ltd., Kunming 650000, China.
Ping BaiYunnan Southwest Agriculture and Animal Husbandry Group Co., Ltd., Kunming 650000, China.
Wentao LiNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0002-7114-762X
Xuexiang YuNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
Qigai HeNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.

Funding

China Agriculture Research System of MOF and MARA No. CARS-35Expert Working Station of Yunnan Province 202305AF150200National Key Laboratory of Agricultural Microbiology AML2023A02National Natural Science Foundation of China 32302866Yingzi Tech & Huazhong Agricultural University Intelligent Research Institute of Food Health IRIFH202209
6 · The paper itself

Abstract

backgroundPorcine circovirus disease (PCVD), caused by porcine circovirus (PCV), is a significant swine disease characterized by porcine dermatitis, nephrotic syndrome, and reproductive disorders in sows. Given the overlapping clinical presentations of PCV2, PCV3, and PCV4, a rapid and accurate method for their differential detection is essential.

methodsIn this study, specific primers and probes were designed based on the conserved regions of the

resultsA TaqMan triple real-time PCR method was developed, demonstrating excellent specificity, sensitivity, and repeatability, with limits of detection (LODs) of 53.3 copies/µL, 12.0 copies/µL, and 13.8 copies/µL for PCV2, PCV3, and PCV4, respectively. Using this method, 500 clinical porcine tissue samples collected from 23 provinces across China between 2023 and 2024 were analyzed. The results showed detection rates of 75.20% (376/500) for PCV2, 17.60% (88/500) for PCV3, and 4.40% (22/500) for PCV4. The detection rate of triple coinfections involving PCV2, PCV3, and PCV4 was 0.80% (4/500). PCV2 consistently presented significantly higher positive detection rates across all growth stages, and its viral copy number was significantly greater than those of PCV3 and PCV4 (*

conclusionsThe triple qPCR method established in this study provides a rapid, specific, and accurate approach for the detection and differentiation of PCV2, PCV3, and PCV4 genotypes.

Indexed as

Circoviridae InfectionsCircovirusMultiplex Polymerase Chain ReactionReal-Time Polymerase Chain ReactionSwine DiseasesAnimalsChinaDNA PrimersLimit of DetectionReproducibility of ResultsSensitivity and SpecificitySwineDNA Primersgenetic evolution analysisgenotypeporcine circovirustriplex qPCR

Identifiers

PMID40573369
PMCPMC12197758

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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.