Evidence map›Paper›PMID 41345944›Full record

ArticleBMC veterinary research2025

Establishment and application of a droplet digital PCR assay for sensitive detection of porcine deltacoronavirus.

Xueying Han, Yangkun Liu, Yan Wang, Jie Zhang, Guangxue Ding, Yutao Li, Siming Xu, Jiashen Zhang, Lunguang Yao

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Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xueying HanDepartment of Modern Service Management, Nanyang Vocational College of Science and Technology, Nanyang, Henan, 473061, China.
Yangkun LiuHenan Provincal Engineering and Technology Center of Health Products for Livestock and Poultry, School of Life Science, Nanyang Normal University, Nanyang, Henan, 473061, China. lyk19861211@163.com.
Yan WangCenter of Advanced Analysis & Gene Sequencing, Zhengzhou University, Zhengzhou, Henan, 450001, China.
Jie ZhangDepartment of Animal Engineering, Shaanxi Agriculture and Forestry Technology University, Yangling, Shaanxi, 712100, China.
Guangxue DingDepartment of Modern Service Management, Nanyang Vocational College of Science and Technology, Nanyang, Henan, 473061, China.
Yutao LiDepartment of Modern Service Management, Nanyang Vocational College of Science and Technology, Nanyang, Henan, 473061, China.
Siming XuDepartment of Modern Service Management, Nanyang Vocational College of Science and Technology, Nanyang, Henan, 473061, China.
Jiashen ZhangDepartment of Modern Service Management, Nanyang Vocational College of Science and Technology, Nanyang, Henan, 473061, China.
Lunguang YaoHenan Provincal Engineering and Technology Center of Health Products for Livestock and Poultry, School of Life Science, Nanyang Normal University, Nanyang, Henan, 473061, China. lunguangyao@163.com.

Funding

Key Scientific Research Projects of Colleges and Universities in Henan Province of China 25A230001Key Scientific Research Projects of Colleges and Universities in Henan Province of China 26B230011Science and technology Innovation Leading Talent Project of the central plains of China 244200510040Scientific and Technological research project of Henan province 252102111026
6 · The paper itself

Abstract

backgroundPorcine deltacoronavirus (PDCoV) is a newly emerging coronavirus that causes severe diarrhea and dehydration in newborn piglets, and can infect multiple animal species including humans, posing a substantial threat to global swine production and human health. To address these challenges, we developed a droplet digital PCR (ddPCR) method for detecting the N gene of PDCoV in clinical samples.

resultsOur ddPCR method exhibited good linearity, reproducibility, and repeatability. In comparison to conventional quantitative real-time PCR (qPCR), the ddPCR assay demonstrated exceptional sensitivity, with limits of detection (LoD) of 1.65 copies/reaction (95% CI: 1.39–2.14) for clinical sample and 1.62 copies/reaction (95% CI: 1.36–2.12) for standard plasmid, respectively. Besides, the ddPCR assay displayed no cross-reactivity with the other 6 common swine pathogens. The results of clinical sample testing showed that the positivity rate of ddPCR (29/182) was greater than that of qPCR (25/182), with a coincidence rate of 97.80%.

conclusionsThe established ddPCR method exhibits good sensitivity, repeatability, and specificity, indicating that this method can be used as a promising tool for the sensitive detection and quantification of PDCoV.

Indexed as

Coronavirus InfectionsDeltacoronavirusPolymerase Chain ReactionSwine DiseasesAnimalsLimit of DetectionReal-Time Polymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificitySwineDroplet digital PCRN genePorcine deltacoronavirusQuantitative real-time PCR

Identifiers

PMID41345944
PMCPMC12781291

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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.