Evidence map›Paper›PMID 41649281›Full record

ArticleMicrobiology spectrum2026

CRISPR/Cas14a combined with RPA for visual detection of Marek's disease virus.

Zhi-Jian Zhu, Meng-Li Cui, Yu Liu, Xi-Qiao Yao, Meng-Jie Lu, Ming-Cheng Wang, Jun-He Liu, Jin-Feng Li, En-Zhong Li

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zhi-Jian ZhuAffiliated Central Hospital, Huanghuai University, Zhumadian, People's Republic of China.ORCID 0000-0002-6249-5374
Meng-Li CuiCollege of Biological and Food Engineering, Huanghuai University, Zhumadian, People's Republic of China.
Yu LiuCollege of Biological and Food Engineering, Huanghuai University, Zhumadian, People's Republic of China.
Xi-Qiao YaoCollege of Biological and Food Engineering, Huanghuai University, Zhumadian, People's Republic of China.
Meng-Jie LuXiping County Hospital of Traditional Chinese Medicine, Zhumadian, People's Republic of China.
Ming-Cheng WangCollege of Biological and Food Engineering, Huanghuai University, Zhumadian, People's Republic of China.
Jun-He LiuCollege of Biological and Food Engineering, Huanghuai University, Zhumadian, People's Republic of China.
Jin-Feng LiAffiliated Central Hospital, Huanghuai University, Zhumadian, People's Republic of China.ORCID 0009-0005-8310-5741
En-Zhong LiCollege of Biological and Food Engineering, Huanghuai University, Zhumadian, People's Republic of China.ORCID 0000-0001-7014-282X

Funding

Key Scientific Research Projects of Universities in Henan 22A310017
6 · The paper itself

Abstract

Marek's disease, a highly contagious avian immunosuppressive disorder caused by the α-herpesvirus MDV-1, poses a significant threat to poultry health. The development of rapid visual detection methods capable of distinguishing epidemic MDV-1 strains from vaccine strains is crucial for early disease warning, vaccine efficacy evaluation, and precise disease control. We developed a novel isothermal detection system that integrates recombinase polymerase amplification (RPA) with CRISPR/Cas14a technology for the visual identification of epidemic MDV-1 strains. This method operates at a constant temperature of 37°C and allows for either real-time analysis or endpoint visual readout without the need for complex instrumentation. Our results showed no cross-reactivity with Newcastle disease virus, infectious bursal disease virus, MDV-1 vaccine strains, or herpesvirus of turkeys. Plasmid DNA standards were used to determine the sensitivity of the assay, and the detection limit was 24.6 copies/μL. Clinical evaluation using 24 field samples confirmed that the method successfully identified all Marek's disease virus-positive cases, demonstrating its diagnostic reliability. In conclusion, we have developed a rapid, highly specific nucleic acid detection platform for MDV-1 that enables visual readout without complex instrumentation by combining the sensitivity of RPA with the specificity of CRISPR/Cas14a technology, offering promising potential for field-based diagnostics and disease surveillance.IMPORTANCEMarek's disease virus (MDV-1) is a highly contagious and economically important avian pathogen. Existing diagnostic methods are unable to reliably distinguish between epidemic and vaccine strains in field settings, which hampers effective surveillance and evaluation of vaccination programs. To address this challenge, we developed a portable isothermal detection assay that combines recombinase polymerase amplification with CRISPR/Cas14a technology. This approach enables highly sensitive (24.6 copies/μL) and specific visual detection of epidemic MDV-1 strains without cross-reactivity with vaccine strains or related viruses. The assay demonstrated 100% agreement with reference methods when evaluated using clinical samples. As a cost-effective method that avoids the need for complex detection instruments, it offers a practical solution for rapid on-site diagnosis, facilitating enhanced outbreak control and improved poultry health management globally.

Indexed as

MardivirusMarek DiseasePoultry DiseasesAnimalsChickensCRISPR-Cas SystemsNucleic Acid Amplification TechniquesRapid Diagnostic TestsCRISPR/Cas14aMarek’s disease virusRPAvisual detection

Identifiers

PMID41649281
PMCPMC12955468

What Socratic holds

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LicenceCC BY
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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 Socratic graph.