An Evolutionary Model of Progression to AIDS.

Area of Science:

• Immunology
• Virology
• Mathematical Biology

Background:

• Time to AIDS onset in HIV patients correlates inversely with viremia and immune activation.
• Significant individual variability suggests unknown patient and virus parameters influence disease progression.
• Current methods cannot reliably predict AIDS onset based on patient parameters.

Purpose of the Study:

• To develop a mechanistic mathematical model for predicting AIDS progression speed in untreated or suboptimally treated HIV patients.
• To identify key virological and immunological parameters influencing disease progression.
• To understand the drivers of AIDS progression beyond anti-retroviral therapy.

Main Methods:

• Development of a mechanistic mathematical model integrating virological and immunological data.
• Analysis of virus evolution and fitness increase during chronic HIV infection.
• Application of HIV evolution models to predict time to AIDS onset.

Main Results:

• A gradual increase in HIV fitness during chronic infection leads to slow CD4 T cell depletion.
• General expressions were derived to predict time to AIDS onset based on patient parameters, differentiating between low and high viremia.
• The developed evolution model demonstrated a better fit to existing virus-time correlation data compared to a homeostatic deregulation model.

Conclusions:

• The mathematical model provides a novel approach to predict individual AIDS progression rates.
• Understanding virus fitness evolution is crucial for predicting CD4 T cell depletion and AIDS onset.
• This model offers insights into AIDS progression, potentially guiding alternative therapeutic strategies.