Phylogenetic identification of feline leukemia virus A and B in cats with progressive infection developing into lymphoma and leukemia.


Journal

Virus research
ISSN: 1872-7492
Titre abrégé: Virus Res
Pays: Netherlands
ID NLM: 8410979

Informations de publication

Date de publication:
05 2023
Historique:
received: 11 10 2022
revised: 12 03 2023
accepted: 14 03 2023
medline: 18 4 2023
pubmed: 17 3 2023
entrez: 16 3 2023
Statut: ppublish

Résumé

To date, only a few studies have examined the impacts of feline leukemia virus (FeLV) subgroups on disease development in spontaneously infected cats. The present study identified FeLV-A and FeLV-B subgroups in cats with lymphoma and leukemia and explored the phylogenetic relationships of env sequences. Twenty-six cats with lymphoma (n=16) or leukemia (n=10) were selected. FeLV p27 antigen positivity was determined using ELISA, and proviral DNA in blood samples was detected using nested PCR. Positive animals in both tests were classified as cases of FeLV progressive infection and subjected to a second nested PCR for env amplification and subgroup determination. Six samples of FeLV-A and five samples of FeLV-B were sequenced using the Sanger method, and the results were used to build a phylogenetic tree and estimate evolutionary divergence. Among cats with lymphoma, 68.8% carried FeLV-AB and 31.2% FeLV-A. Among cats with leukemia, 70% carried FeLV-AB and 30% FeLV-A. Regarding cat characteristics, 50% were young, 30.8% young adults, and 19.2% adults; 88.5% were mixed-breed and 11.5% pure breed; and 42.3% were males and 57.7% were females. Among lymphomas, 62.5% were mediastinal, 31.3% multicentric, and 6.3% extranodal. Regarding histological classification, lymphoblastic and small non-cleaved-cell lymphomas were the most frequently detected. Among leukemia cases, 30% were acute lymphoid, 30% chronic myeloid, and 40% acute myeloid. Phylogenetic analysis showed that FeLV-A SC sequences were closely related to the Arena, Glasgow-1, and FeLV-FAIDS variants. Meanwhile, FeLV-B SC sequences were divergent from one another but similar to the endogenous FELV env gene (enFeLV). In conclusion, FeLV-AB is prevalent in cats with lymphoma and leukemia, highlighting the genetic diversity involved in the pathogenesis of these neoplasms in Brazil.

Identifiants

pubmed: 36924831
pii: S0168-1702(23)00055-2
doi: 10.1016/j.virusres.2023.199093
pmc: PMC10194359
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

199093

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declarations of Competing Interest None.

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Auteurs

Giovana Biezus (G)

Department of Veterinary Medicine, Universidade do Estado de Santa Catarina (UDESC), Av. Luís de Camões 2090, Lages, Santa Catarina, Brazil.

Thierry Grima de Cristo (T)

Department of Veterinary Medicine, Universidade do Estado de Santa Catarina (UDESC), Av. Luís de Camões 2090, Lages, Santa Catarina, Brazil.

Gabriela Bassi das Neves (G)

Department of Veterinary Medicine, Universidade do Estado de Santa Catarina (UDESC), Av. Luís de Camões 2090, Lages, Santa Catarina, Brazil.

Mariana da Silva Casa (M)

Department of Veterinary Medicine, Universidade do Estado de Santa Catarina (UDESC), Av. Luís de Camões 2090, Lages, Santa Catarina, Brazil.

Paula Barros Brizola (P)

Department of Veterinary Medicine, Universidade do Estado de Santa Catarina (UDESC), Av. Luís de Camões 2090, Lages, Santa Catarina, Brazil.

Marina Silvestre Sombrio (M)

Department of Veterinary Medicine, Universidade do Estado de Santa Catarina (UDESC), Av. Luís de Camões 2090, Lages, Santa Catarina, Brazil.

Luiz Claudio Miletti (LC)

Department of Veterinary Medicine, Universidade do Estado de Santa Catarina (UDESC), Av. Luís de Camões 2090, Lages, Santa Catarina, Brazil.

Renata Assis Casagrande (R)

Department of Veterinary Medicine, Universidade do Estado de Santa Catarina (UDESC), Av. Luís de Camões 2090, Lages, Santa Catarina, Brazil. Electronic address: renata.casagrande@udesc.br.

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Classifications MeSH