Evaluation of barcoded magnetic bead-based immunoassays for the simultaneous detection of feline leukemia virus antigen and antibody against feline immunodeficiency virus.


Journal

Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc
ISSN: 1943-4936
Titre abrégé: J Vet Diagn Invest
Pays: United States
ID NLM: 9011490

Informations de publication

Date de publication:
Jan 2023
Historique:
pubmed: 30 10 2022
medline: 15 12 2022
entrez: 29 10 2022
Statut: ppublish

Résumé

Testing platforms that leverage automation, require minimal sample volume, and enable various tests to be performed simultaneously on a single sample have the potential to improve workflow and efficiency in veterinary diagnostic laboratories. We evaluated a barcoded magnetic bead (BMB) technology using established immunoassays for detection of feline leukemia virus (FeLV) p27 antigen and antibody against feline immunodeficiency virus (FIV). Analytical sensitivity, limit of blank, and limit of detection were used to establish a functional sensitivity of 1.00 ng/mL of inactivated FeLV antigen and 35.7 ng/mL of anti-FIV monoclonal antibody. Common interferents, such as hemoglobin, lipid, and bilirubin, were not found to interfere with the performance of the assay. Intra- and inter-assay CVs were <13% for both assays using manufactured samples. Using a set of 116 feline samples, the diagnostic accuracy of our multiplex assay was 100% compared to reference assays. Performance in a convenience set of 1,000 feline samples submitted to a commercial diagnostic laboratory revealed a proportion of positive results of 1.3% for FeLV and 3.7% for FIV. BMB technology should enable rapid screening of samples for various markers in a single immunoassay well.

Identifiants

pubmed: 36307958
doi: 10.1177/10406387221129259
pmc: PMC9751465
doi:

Substances chimiques

Immunoglobulins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

57-61

Références

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Auteurs

Kathy Esty (K)

Idexx Laboratories, Westbrook, ME, USA.

Haylea Elmer (H)

Idexx Laboratories, Westbrook, ME, USA.

Salam Nassar (S)

Idexx Laboratories, Westbrook, ME, USA.

Anthony Ruggiero (A)

Idexx Laboratories, Westbrook, ME, USA.

Seema Singh (S)

Idexx Laboratories, Westbrook, ME, USA.

Melissa Beall (M)

Idexx Laboratories, Westbrook, ME, USA.

Jesse Buch (J)

Idexx Laboratories, Westbrook, ME, USA.

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Classifications MeSH