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Related Experiment Video

Updated: Jun 27, 2026

Humanized NOD/SCID/IL2rγnull (hu-NSG) Mouse Model for HIV Replication and Latency Studies

Humanized NOD/SCID/IL2rγ^null (hu-NSG) Mouse Model for HIV Replication and Latency Studies

Published on: January 7, 2019

Within-host virus models with periodic antiviral therapy.

Patrick De Leenheer¹

¹Department of Mathematics, University of Florida, Gainesville, USA. deleenhe@math.ufl.edu

Bulletin of Mathematical Biology

|December 17, 2008

Summary

Periodic drug treatment can eradicate viruses within the host. This study identifies effective drugs and combinations, optimizing for efficacy and patient safety, using an HIV model for illustration.

Area of Science:

Mathematical biology
Virology
Pharmacology

Background:

Within-host viral dynamics are complex.
Understanding the impact of periodic drug therapy is crucial for treatment efficacy.
Current models require refinement to incorporate periodic treatment regimens.

Purpose of the Study:

To investigate the impact of periodic drug treatment on within-host viral models.
To identify conditions and drug characteristics for successful viral eradication.
To optimize treatment strategies considering both efficacy and toxicity.

Main Methods:

Development and analysis of a standard within-host virus model with periodic therapy.
Theoretical characterization of successful drug regimens.

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Humanized NOD/SCID/IL2rγnull (hu-NSG) Mouse Model for HIV Replication and Latency Studies

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Published on: January 7, 2019

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Numerical simulations and optimization techniques.

Application to a human immunodeficiency virus (HIV) model.

Main Results:

Viral eradication is achievable with periodic drug regimens.
Quantitative criteria for effective drugs or drug combinations were established.
Optimization problems related to treatment efficacy and toxicity were simplified and solved.
Numerical examples using current HIV model parameters demonstrated the findings.

Conclusions:

Periodic drug therapy offers a viable strategy for viral eradication.
The study provides a framework for identifying and optimizing antiviral treatments.
The findings are directly applicable to improving HIV treatment regimens.