Abstract

BackgroundTrials in macaque models play an essential role in the evaluation of biomedical interventions that aim to prevent HIV infection, such as vaccines, microbicides, and systemic chemoprophylaxis. These trials are usually conducted with very high virus challenge doses that result in infection with certainty. However, these high challenge doses do not realistically reflect the low probability of HIV transmission in humans, and thus may rule out preventive interventions that could protect against “real life” exposures. The belief that experiments involving realistically low challenge doses require large numbers of animals has so far prevented the development of alternatives to using high challenge doses.Methods and FindingsUsing statistical power analysis, we investigate how many animals would be needed to conduct preclinical trials using low virus challenge doses. We show that experimental designs in which animals are repeatedly challenged with low doses do not require unfeasibly large numbers of animals to assess vaccine or microbicide success.ConclusionPreclinical trials using repeated low-dose challenges represent a promising alternative approach to identify potential preventive interventions.

Highlights

  • Worldwide approximately 40 million people are infected with HIV, and more than 3 million people died of AIDS last year alone [1]

  • Trials in macaque models play an essential role in the evaluation of biomedical interventions that aim to prevent HIV infection, such as vaccines, microbicides, and systemic chemoprophylaxis

  • These trials are usually conducted with very high virus challenge doses that result in infection with certainty

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Summary

Introduction

Worldwide approximately 40 million people are infected with HIV, and more than 3 million people died of AIDS last year alone [1]. Trials in macaque models play an essential role in the evaluation of biomedical interventions that aim to prevent HIV infection, such as vaccines, microbicides, and systemic chemoprophylaxis These trials are usually conducted with very high virus challenge doses that result in infection with certainty. They developed a model to test how well single and multiple low-dose experiments performed They did this by simulating the experiments with doses of virus, assessing the results, and repeating this procedure 100,000 times to estimate how valid a given experimental design was. Their modeling showed that by repeatedly giving animals low doses of virus, it was possible to use a smaller number of animals than was needed for trials with a single low dose

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