Translational Models to Predict Target Concentrations for Pre-Exposure Prophylaxis in Women.

AIDS Res Hum Retroviruses

Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.

Published: December 2022

AI Article Synopsis

  • The HIV epidemic significantly impacts public health, with women accounting for half of all cases and highlighting the need for more prevention options tailored for them.
  • Pre-exposure prophylaxis (PrEP) is an effective preventative measure that requires specific drug regimens and dosing methods to ensure women receive complete protection against HIV.
  • This study evaluates the strengths and weaknesses of three different preclinical models (humanized mice, non-human primates, and tissue models) to better predict the necessary drug concentrations for effective protection in the female genital tract.

Article Abstract

The HIV epidemic remains a significant public health burden. Women represent half of the global HIV epidemic, yet there is an urgent need for a variety of prevention options to meet the needs of more women. Pre-exposure prophylaxis (PrEP) is a valuable prevention tool that uses antiretrovirals before a potential HIV exposure to prevent virus transmission. Development of effective preventive drug regimens for women is dependent on convenient dosing schedules and routes of administration, and on identifying defined target concentrations in mucosal tissues that provide complete protection against HIV transmission. There is a critical need for a translational model that can accurately predict target concentrations that are completely protective against HIV infection. There is no gold-standard preclinical model to predict PrEP efficacy. In this study, we review the strengths and limitations of three different preclinical models and their utility in predicting target concentrations in the female genital tract: humanized mice, non-human primates, and the tissue model.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805887PMC
http://dx.doi.org/10.1089/AID.2022.0057DOI Listing

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