Evidence map›Paper›PMID 39342301›Full record

ArticleBMC veterinary research2024

Development and validation of a droplet digital PCR assay for Nipah virus quantitation.

Jiangbing Shuai, Kexin Chen, Xiao Han, Ruoxue Zeng, Houhui Song, Linglin Fu, Xiaofeng Zhang

Abstract readValidation Study
In one paragraph

Article in BMC veterinary research, 2024. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. 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

7 authors.

Jiangbing ShuaiZhejiang Academy of Science and Technology for Inspection and Quarantine, Hangzhou, 310016, China.
Kexin ChenZhejiang Academy of Science and Technology for Inspection and Quarantine, Hangzhou, 310016, China.
Xiao HanZhejiang Academy of Science and Technology for Inspection and Quarantine, Hangzhou, 310016, China.
Ruoxue ZengZhejiang Academy of Science and Technology for Inspection and Quarantine, Hangzhou, 310016, China.
Houhui SongCollege of Animal Science and Technology, Zhejiang Agriculture & Forestry University, Hangzhou, 311300, China.
Linglin FuSchool 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. zxf@zaiq.org.cn.

Funding

the Key Research and Development Program of Zhejiang Province 2021C02060the National Key Research and Development Program of China 2021YFF0602800
6 · The paper itself

Abstract

backgroundNipah virus (NiV) is a zoonotic pathogen that poses a significant threat because of its wide host range, multiple transmission modes, high transmissibility, and high mortality rates, affecting both human health and animal husbandry. In this study, we developed a one-step reverse transcription droplet digital PCR (RT-ddPCR) assay that targets the N gene of NiV.

resultsOur RT-ddPCR assay exhibited remarkable sensitivity, with a lower limit of detection of 6.91 copies/reaction. Importantly, it displayed no cross-reactivity with the other 13 common viruses and consistently delivered reliable results with a coefficient of variation below 10% across different concentrations. To validate the effectiveness of our RT-ddPCR assay, we detected 75 NiV armored RNA virus samples, mimicking real-world conditions, and negative control samples, and the RT-ddPCR results perfectly matched the simulated results. Furthermore, compared with a standard quantitative real-time PCR (qPCR) assay, our RT-ddPCR assay demonstrated greater stability when handling complex matrices with low viral loads.

conclusionsThese findings show that our NiV RT-ddPCR assay is exceptionally sensitive and provides a robust tool for quantitatively detecting NiV, particularly in stimulated field samples with low viral loads or complex matrices. This advancement has significant implications for early NiV monitoring, safeguarding human health and safety, and advancing animal husbandry practices.

Indexed as

Henipavirus InfectionsNipah VirusAnimalsReal-Time Polymerase Chain ReactionReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionSensitivity and SpecificityViral LoadDroplet digital PCRNipah virusQuantitation assayStimulated field samples

Identifiers

PMID39342301
PMCPMC11438125

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.