ArticleJournal of virological methods2017
Reverse transcriptase loop-mediated isothermal amplification for the detection of feline coronavirus.
Article in Journal of virological methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 22 citations in OpenAlex.
- Detection and complete genome characterisation of bat coronaviruses from Ghana.Archives of virology · 2026Article
- Innovative Colorimetric Neutral Red-Based Loop-Mediated Isothermal Amplification (NR-LAMP) Assay: Transforming Rapid and Affordable Feline Leukemia Virus Detection.International journal of molecular sciences · 2025Article
- Review
- Colorimetric and fluorometric reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay for diagnosis of SARS-CoV-2.Functional & integrative genomics · 2022Article
- Development of Colorimetric Reverse Transcription Loop-Mediated Isothermal Amplification Assay for Detecting Feline Coronavirus.Animals : an open access journal from MDPI · 2022Article
- Molecular Detection of Feline Coronavirus Based on Recombinase Polymerase Amplification Assay.Pathogens (Basel, Switzerland) · 2021Article
- Clinical and molecular aspects of veterinary coronaviruses.Virus research · 2021Review
- Detection of swine influenza virus in nasal specimens by reverse transcription-loop-mediated isothermal amplification (RT-LAMP).Journal of virological methods · 2021Article
- Development of a recombinase polymerase amplification fluorescence assay to detect feline coronavirus.Molecular and cellular probes · 2020Article
- Comparison five primer sets from different genome region of COVID-19 for detection of virus infection by conventional RT-PCR.Iranian journal of microbiology · 2020Article
- Loop-Mediated Isothermal Amplification (LAMP) for the Diagnosis of Zika Virus: A Review.Viruses · 2019Review
- Review
- An electrochemical immunosensor for the corona virus associated with the Middle East respiratory syndrome using an array of gold nanoparticle-modified carbon electrodes.Mikrochimica acta · 2019Article
- Detection of feline Coronavirus in effusions of cats with and without feline infectious peritonitis using loop-mediated isothermal amplification.Journal of virological methods · 2018Article
- Diagnosis of feline infectious peritonitis: Update on evidence supporting available tests.Journal of feline medicine and surgery · 2018Review
- Loop-mediated isothermal amplification (LAMP): a versatile technique for detection of micro-organisms.Journal of applied microbiology · 2018Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Feline coronavirus (FCoV) is the etiological agent of feline infectious peritonitis (FIP), a lethal disease of felids. The role of molecular methods is controversial for the diagnosis of FIP, while essential for the identification of the shedders. Thus, a fast and inexpensive method for the detection of FCoV could be beneficial, especially in multicat environments. A reverse transcription loop mediated isothermal amplification (RT-LAMP) assay was developed. RNA extraction and RT-nPCR for FCoV were performed on thirty-two samples (11 faeces, 9 blood, 8 effusions, and 4 lymph nodes) collected from 27 cats. Six RT-LAMP primers were designed from the same conserved region of RT-nPCR, and the assay was run at 63°C for one hour. Results were evaluated through both agarose gel run and hydroxynapthol blue (HNB) dye and then compared with RT-nPCR results for the assessment of sensitivity and specificity. The overall specificity was 100%, but the sensitivity was 50% and 54.5% for agarose gel and HNB respectively. Therefore, RT-LAMP seems optimal to confirm the presence of the virus, but not applicable to exclude it.
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Registered trials
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.