Quantifying Impact of HIV Receptor Surface Density Reveals Differences in Fusion Dynamics of HIV Strains

Anthony Gerg1, Hana M Dobrovolny1

  • 1Department of Physics & Astronomy, Texas Christian University, Fort Worth, TX 76129, USA.

Viruses
|April 26, 2025
PubMed

Insights

Understanding Human Immunodeficiency Virus (HIV) cell-cell fusion is crucial. This study quantifies syncytia formation dynamics by modifying a mathematical model to include density-dependent rates, revealing strain-specific fusion behaviors.

Area of Science:

  • Virology
  • Mathematical Biology
  • Immunology

Background:

  • Human Immunodeficiency Virus (HIV) Type-1 infection dynamics are influenced by cell-cell fusion, a poorly understood process.
  • Viral glycoproteins mediate HIV-induced fusion, leading to syncytia formation, which impacts infection progression.
  • Syncytia formation is typically assessed via cell-cell fusion assays, quantifying the interaction between virus-expressing cells and receptor-bearing cells.

Purpose of the Study:

  • To quantify changes in HIV syncytia formation by varying viral surface glycoprotein density.
  • To refine a mathematical model for cell-cell fusion assays by incorporating density-dependent syncytia formation rates.
  • To investigate strain-specific differences in HIV cell-cell fusion dynamics.

Main Methods:

  • Utilized a recently developed mathematical model for cell-cell fusion assays.
  • Modified the model to explicitly include a density-dependent syncytia formation rate.
  • Quantified syncytia formation by varying the surface density of viral glycoproteins for different HIV strains.

Main Results:

  • The modified mathematical model accurately captured syncytia formation dynamics across varying glycoprotein densities.
  • HIV HXB2 strain (CXCR4 coreceptor) exhibited threshold-like cell-cell fusion behavior with decreasing surface density.
  • HIV Sf162 strain (CCR5 co-receptor) demonstrated a more gradual decrease in cell-cell fusion as surface density was reduced.

Conclusions:

  • A density-dependent syncytia formation rate is essential for accurately modeling HIV cell-cell fusion dynamics.
  • HIV strains display distinct cell-cell fusion patterns based on coreceptor usage and glycoprotein density.
  • This refined model provides a quantitative tool to study HIV fusion mechanisms and potential therapeutic targets.