A strategy for effective latent HIV reactivation using subtherapeutic drug doses

James Cotterell1,2, G Gregory Neely3,4

  • 1The Garvan Institute for Medical Research, 384 Victoria Street, Darlinghurst, Sydney, NSW, 2010, Australia. j.cotterell@crg.es.

Scientific Reports
|December 2, 2017
PubMed

Insights

Continuous effector supply, not discrete doses, maximizes cell state switching like latent Human immunodeficiency virus (HIV) reactivation, even at sub-therapeutic levels, minimizing side effects.

Area of Science:

  • Cellular dynamics and biological switches
  • Virology and disease intervention strategies

Background:

  • Cell state switching is crucial for biological processes and disease treatments.
  • Current methods for inducing state switches are often limited by effector side effects.
  • There is a need for strategies to enhance state switching frequency while minimizing adverse effects.

Purpose of the Study:

  • To uncover a strategy for maximizing cell state switching probability.
  • To specifically address the reactivation of latent Human immunodeficiency virus (HIV).
  • To achieve efficient state switching with minimal side effects.

Main Methods:

  • Application of dynamical systems theory to model cell state transitions.
  • Comparison of continuous effector supply versus discrete dosing strategies.
  • Analysis of effector concentration effects on switching probability and side effects.

Main Results:

  • Continuous effector supply significantly increases the probability of state switching compared to discrete doses.
  • This continuous strategy is effective even at concentrations below the classically defined Minimum effective dose.
  • Minimal side effects are observed with continuous, low-dose effector administration.

Conclusions:

  • Continuous effector administration is a superior strategy for inducing cell state switches, including HIV reactivation.
  • Lower, continuous drug doses can be therapeutically effective while reducing side effects.
  • This approach offers potential for optimizing therapeutic interventions by reducing drug dosage.

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