Diagnosis of bovine viral diarrhea virus: an overview of currently available methods.

biosensors bovine viral diarrhea virus diagnosis etiological methods molecular methods serological methods

Journal

Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977

Informations de publication

Date de publication:
2024
Historique:
received: 13 01 2024
accepted: 26 03 2024
medline: 22 4 2024
pubmed: 22 4 2024
entrez: 22 4 2024
Statut: epublish

Résumé

Bovine viral diarrhea virus (BVDV) is the causative agent of bovine viral diarrhea (BVD), which results in significant economic losses in the global cattle industry. Fortunately, various diagnostic methods available for BVDV have been established. They include etiological methods, such as virus isolation (VI); serological methods, such as enzyme-linked immunosorbent assay (ELISA), immunofluorescence assay (IFA), and immunohistochemistry (IHC); molecular methods, such as reverse transcription-polymerase chain reaction (RT-PCR), real-time PCR, digital droplet PCR (ddPCR), loop-mediated isothermal amplification (LAMP), recombinase polymerase amplification (RPA), and CRISPR-Cas system; and biosensors. This review summarizes the current diagnostic methods for BVDV, discussing their advantages and disadvantages, and proposes future perspectives for the diagnosis of BVDV, with the intention of providing valuable guidance for effective diagnosis and control of BVD disease.

Identifiants

pubmed: 38646626
doi: 10.3389/fmicb.2024.1370050
pmc: PMC11026595
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1370050

Informations de copyright

Copyright © 2024 Wang and Pang.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Yuting Wang (Y)

Department of Veterinary Medicine, College of Animal Science, Guizhou University, Guiyang, China.

Feng Pang (F)

Department of Veterinary Medicine, College of Animal Science, Guizhou University, Guiyang, China.

Classifications MeSH