Evidence map›Paper›PMID 35277851›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2022

Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection.

Lishuang Deng, Xiaoyu Yang, Zhiwen Xu, Fengqin Li, Jun Zhao, Huidan Deng, Zhijie Jian, Xiangang Sun, Ling Zhu

Open access · greenAbstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Lishuang Deng *College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
Xiaoyu Yang *College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
Zhiwen XuCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
Fengqin LiCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
Jun ZhaoCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
Huidan DengCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
Zhijie JianCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
Xiangang SunCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
Ling ZhuCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China. abtczl72@126.com.ORCID http://orcid.org/0000-0002-2682-3465
Sichuan Agricultural University · CN

Funding

the R&D key research and development project of Sichuan science and technology plan 2020YFN0147the Sichuan Province's "14th Five-Year Plan" Sichuan pig major science and technology project 2021ZDZX0010the Sichuan Veterinary Medicine and Drug Innovation Group of the China Agricultural Research System CARS-SVDIP
6 · The paper itself

Abstract

Atypical porcine pestivirus (APPV) is a recently discovered RNA virus, which mainly caused congenital tremor in piglets. Droplet digital PCR (ddPCR) is an absolute quantitative method that does not rely on the standard curve but has high sensitivity and accuracy. The present study aimed to develop a ddPCR detection assay for APPV. Furthermore, we evaluated the limit of detection, sensitivity, specificity and reproducibility of the ddPCR and real-time quantitative PCR (qPCR) and tested 135 clinical samples to calculate the detection rate of the two methods. The results showed that both methods had a strong linear relationship and quantitative correlation. The ddPCR assay had a minimum detection limit of 0.15 copies/μL for APPV, with a sensitivity 100 times that of qPCR. We tested clinical samples and found that the APPV ddPCR had a 27.4% positive detection rate, noticeably higher than that of the qPCR (14.8%). Additionally, the APPV ddPCR method had excellent repeatability and specificity. In brief, our study provided a novel, feasible and sensitive diagnostic technique to identify and monitor APPV.

Indexed as

PestivirusPestivirus InfectionsSwine DiseasesAnimalsReal-Time Polymerase Chain ReactionReproducibility of ResultsSwineAtypical porcine pestivirusDroplet digital PCRReal-time quantitative PCR

Identifiers

PMID35277851
PMCPMC9151951
OpenAlexW4220661343

What OpenQuestion holds

Textmetadata
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.