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Latest News · Industry Update · 2 min read

Feline Immunodeficiency Virus (FIV) as A Model for Study of Lentivirus Infections: Parallels with HIV

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FIV is a significant pathogen in the cat and is, in addition, the smallest available natural model for the study of lentivirus infections.

February 18, 2026 at 2:00 PM UTCVeterinary33Veterinary33 Editorial Desk

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Feline Immunodeficiency Virus (FIV) as A Model for Study of Lentivirus Infections: Parallels with HIV

FIV is a significant pathogen in the cat and is, in addition, the smallest available natural model for the study of lentivirus infections.

Although divergent at the amino acid level, the cat lentivirus has an abundance of structural and pathophysiological commonalities with HIV and thus serves well as a model for development of intervention strategies relevant to infection in both cats and man.

The following review highlights both the strengths and shortcomings of the FIV/cat model, particular as regards development of antiviral drugs.


Current HIV Research aims to cover all the latest and outstanding developments of HIV research. We invite comprehensive review articles and novel, pioneering work in the basic and clinical fields on all areas of HIV research, including virus replication and gene expression, HIV assembly, virus-cell interaction, viral pathogenesis, epidemiology and transmission, anti-retroviral therapy and adherence, drug discovery, the latest developments in HIV/AIDS vaccines and animal models, mechanisms and interactions with AIDS related diseases, social and public health issues related to HIV disease, and prevention of viral infection. Each issue of the journal contains a series of timely in-depth reviews and original research written by leaders in the field covering a range of current topics on HIV research. Periodically, the journal will invite guest editors to devote an issue on a particular area of HIV research of great interest that increases our understanding of the virus and its complex interaction with the host.


Authors: Elder, John H.; Lin, Ying-Chuan; Fink, Elizabeth; Grant, Chris K.

Source: https://www.ingentaconnect.com/

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