Modeling HIV persistence and cure studies.

Area of Science:

• Virology
• Mathematical Biology
• Immunology

Background:

• HIV persistence during antiretroviral therapy (ART) is a major challenge to achieving a functional cure.
• Understanding the mechanisms maintaining the latent HIV reservoir is crucial for developing effective eradication strategies.

Purpose of the Study:

• To summarize the role of mathematical modeling in elucidating HIV persistence during ART.
• To highlight how modeling informs the development of novel therapeutic interventions.

Main Methods:

• Review of mathematical modeling studies analyzing HIV dynamics during ART.
• Integration of experimental data (e.g., cell death, proliferation, reactivation rates) into modeling frameworks.
• Quantitative prediction of the impact of various therapeutic strategies on latent reservoir size.

Main Results:

• Evidence strongly supports slow-decaying latent infection, rather than continuous viral replication, as the primary driver of HIV persistence.
• Mathematical models quantify the balance of cell death, proliferation, and reactivation that maintains the latent reservoir.
• Modeling predicts the potential efficacy of therapies targeting latency, such as latency-reversing agents and antiproliferative drugs.

Conclusions:

• Mathematical modeling is indispensable for understanding the complex dynamics of HIV persistence.
• Modeling provides quantitative insights to guide the design and interpretation of clinical trials for novel HIV persistence therapies.
• Future research should leverage modeling to optimize treatment strategies aimed at HIV eradication.