Evidence map›Paper›PMID 39935536›Full record

ArticleFrontiers in cellular and infection microbiology2024

Development of a one-step multiplex RT-qPCR method for rapid detection of bovine diarrhea viruses.

Dequan Yang, Li Ma, Zhongping Yang, Xianchao Yang, Jian Wang, Houbin Ju, Chunguang Lu, Yonggang Weng, Heping Zhao, Haixiao Shen and 9 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. 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. 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

19 authors.

Dequan Yang *Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Li Ma *Department of Technological Research and Development, Hunan Guanmu Biotech Co., Ltd, Changsha, China.
Zhongping Yang *Department of Technological Research and Development, Hunan Guanmu Biotech Co., Ltd, Changsha, China.
Xianchao YangVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Jian WangVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Houbin JuVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Chunguang LuDepartment of Veterinary Laboratory, Jinshan District Animal Disease Control Center, Shanghai, China.
Yonggang WengDepartment of Veterinary Laboratory, Jinshan District Animal Disease Control Center, Shanghai, China.
Heping ZhaoDepartment of Technological Research and Development, Hunan Guanmu Biotech Co., Ltd, Changsha, China.
Haixiao ShenVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Xin LiVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Feifei GeVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Xiaoxu WangVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Xiujuan WuVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Meng XiangVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Guidan FengVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Congsheng TangVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Shixin HuangVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
Hongjin ZhaoVeterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Viral calf diarrhea poses a significant challenge to the cattle industry worldwide due to its high morbidity and mortality rates, leading to substantial economic losses. The clinical symptoms associated with various diarrhea pathogens often overlap, complicating accurate diagnosis; thus, there is an urgent need for rapid and precise diagnostic methods to improve prevention and treatment efforts. In this study, we developed a one-step multiplex reverse-transcription quantitative real-time polymerase chain reaction (mRT-qPCR) that enables the simultaneous detection of three key viral pathogens responsible for calf diarrhea: bovine kobuvirus (BKoV), bovine astrovirus (BoAstV), and bovine torovirus (BToV). However, development of accurate and rapid methods to distinguish these three viruses is helpful for the early detection, disease surveillance, and control of viral calf diarrhea. Methods: Specific primers and minor groove binder (MGB)-based probes were designed targeting the 3D region of BKoV, ORF1 region of BoAstV, and N region of BToV. The sensitivity, specificity, and reproducibility ability were evaluated for the mRT-qPCR. Further, 80 bovine fecal samples were subjected to the mRT-qPCR, and the results were verified using conventional reverse-transcription PCR (RT-PCR) or PCR methods and sequencing methods. Results: This novel method demonstrated high sensitivity and specificity,achieving a detection limit of 24 copies/mL for each pathogen. Furthermore, the assay exhibited excellent reproducibility, with coefficients of variation below 1.5%, a strong linear correlation (R Discussion: The mRT-qPCR is a robust, rapid, and simple tool for identifying viral pathogens associated with calf diarrhea, facilitating the development of effective prevention and control measures that are vital for the future sustainability of the cattle industry.

Indexed as

Bovine Virus Diarrhea-Mucosal DiseaseCattle DiseasesDiarrheaDiarrhea Viruses, Bovine ViralMultiplex Polymerase Chain ReactionReal-Time Polymerase Chain ReactionAnimalsCattleDNA PrimersFecesKobuvirusReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionSensitivity and SpecificityTorovirusDNA Primerscalf diarrheaclinical detectionepidemiological surveillancemethodmultiplex real-time quantitative PCR (mRT-qPCR)

Identifiers

PMID39935536
PMCPMC11810931

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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.