Evidence map›Paper›PMID 38817969›Full record

ArticleFrontiers in microbiology2024

Establishment of a reverse transcription-recombinase polymerase amplification-lateral flow dipstick method for the dual detection of Israeli acute paralysis virus and chronic bee paralysis virus.

Li Sun, Yu Cheng, Dongliang Fei, Yueyu Ma, Mingxiao Ma, Ming Li

Abstract read
In one paragraph

Article in Frontiers in 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

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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

6 authors.

Li Sun *College of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, China.
Yu Cheng *College of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, China.
Dongliang FeiExperimental Animal Center of Jinzhou Medical University, Jinzhou, China.
Yueyu MaExperimental Animal Center of Jinzhou Medical University, Jinzhou, China.
Mingxiao MaCollege of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, China.
Ming LiCollege of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As an important social insect, honey bees play crucial roles in agricultural production, sustainable development of agricultural production, and the balance of the natural environment. However, in recent years, Israeli acute paralysis virus (IAPV) and chronic bee paralysis virus (CBPV), the main pathogens of bee paralysis, have continuously harmed bee colonies and caused certain losses to the beekeeping industry. Some beekeeping farms are located in wild or remote mountainous areas, and samples from these farms cannot be sent to the laboratory for testing in a timely manner, thereby limiting the accurate and rapid diagnosis of the disease. Methods and results: In this study, we used a reverse transcription-recombinase polymerase amplification-lateral flow dipstick (RT-RPA-LFD) method for the dual detection of IAPV and CBPV. RPA primers and LFD detection probes were designed separately for their conserved genes. Primers and probes were screened, and the forward and reverse primer ratios, reaction times, and temperatures were optimized. According to the results of the optimization tests, the optimal reaction temperature for RT-RPA is 37°C, and when combined with LFD, detection with the naked eye requires <20 min. The developed RPA-LFD method specifically targets IAPV and CBPV and has no cross-reactivity with other common bee viruses. In addition, the minimum detection limit of the RT-RPA-LFD method is 101 copies/μL. Conclusion: Based this study, this method is suitable for the detection of clinical samples and can be used for field detection of IAPV and CBPV.

Indexed as

CBPVdual detectionIAPVLFDRPA

Identifiers

PMID38817969
PMCPMC11137664

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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.