Evidence map›Paper›PMID 40943649›Full record

ArticleInternational journal of molecular sciences2025

Establishment of Multiplex Digital PCR Assay for Detection of Four Porcine Enteric Coronaviruses.

Xiao Han, Kexin Chen, Hui Qiu, Pengli Kong, Xiaoliang Li, Linglin Fu, Huan Li, Jinru Zhou, Xiaofeng Zhang, Jiangbing Shuai

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Xiao HanZhejiang Academy of Science and Technology for Inspection and Quarantine, Hangzhou 310016, China.ORCID 0000-0003-3036-8511
Kexin ChenZhejiang Academy of Science and Technology for Inspection and Quarantine, Hangzhou 310016, China.ORCID 0009-0007-4888-5054
Hui QiuZhejiang Academy of Science and Technology for Inspection and Quarantine, Hangzhou 310016, China.
Pengli KongZhejiang Academy of Science and Technology for Inspection and Quarantine, Hangzhou 310016, China.
Xiaoliang LiDepartment of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-2058-7764
Linglin FuFood Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, China.
Huan LiFood Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, China.
Jinru ZhouFood Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, China.
Xiaofeng ZhangZhejiang Academy of Science and Technology for Inspection and Quarantine, Hangzhou 310016, China.
Jiangbing ShuaiZhejiang Academy of Science and Technology for Inspection and Quarantine, Hangzhou 310016, China.

Funding

Key Research and Development Program of Zhejiang Province 2024C01137National Key Research and Development Program of China 2021YFF0602800
6 · The paper itself

Abstract

Porcine enteric coronaviruses (CoVs), including swine acute diarrhea syndrome coronavirus (SADS-CoV), porcine epidemic diarrhea virus (PEDV), porcine deltacoronavirus (PDCoV), and porcine transmissible gastroenteritis virus (TGEV), are major pathogens causing porcine viral diarrhea syndrome (VDS), which brings significant economic losses to the swine industry; distinguishing between these clinically similar viruses has become a serious challenge. We developed a highly specific and interference-resistant porcine CoV multiplex digital PCR (dPCR) assay. The assay exhibited robust anti-interference capabilities, as the concentrations of the four viruses did not affect their accurate quantification. The coefficients of variation (CV%) of intra-batch and inter-batch repeatability for all target viruses were less than 11%. The limit of quantification (LoQ) of this dPCR assay reached 7.5 copies/reaction for each target, and it was one order of magnitude more sensitive than qPCR. The limits of detection (LoD) for SADS-CoV, PEDV, PDCoV, and TGEV were 2.72, 3.00, 3.56, and 3.19 copies/reaction, respectively. A total of 408 known samples were used for validation tests, and the results were highly consistent with the known conditions, showing a compliance rate of 97-100%. The diagnostic specificity (Dsp) of the method was 99-100%. In conclusion, the developed multiplex dPCR assay is highly suitable for early detection and quarantine in four porcine CoVs. The results indicate that this dPCR method is characterized by high specificity, anti-interference capabilities, repeatability, and high sensitivity. It also demonstrates a high compliance rate and diagnostic specificity in sample detection. This multiplex dPCR will contribute to the control of porcine enteric CoV-caused VDS and provide clues for subsequent research.

Indexed as

CoronavirusCoronavirus InfectionsMultiplex Polymerase Chain ReactionSwine DiseasesAlphacoronavirusAnimalsDeltacoronavirusLimit of DetectionPorcine epidemic diarrhea virusReproducibility of ResultsSensitivity and SpecificitySwineTransmissible gastroenteritis virusdPCRPDCoVPEDVporcine enteric coronavirusSADS-CoVTGEV

Identifiers

PMID40943649
PMCPMC12429093

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Registered trials

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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.