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Optimal control strategy for abnormal innate immune response.

Jinying Tan1, Xiufen Zou2

  • 1School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China ; College of Science, Huazhong Agricultural University, Wuhan 430070, China.

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This study uses optimal control theory to manage the innate immune response against viral infections. Separate antiviral or interferon therapies are more effective and cost-efficient than combined treatments for controlling viral diseases.

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Area of Science:

  • Immunology
  • Mathematical Biology
  • Virology

Background:

  • Innate immunity is crucial for controlling viral infections but often insufficient due to viral evasion.
  • Understanding and controlling immune responses are vital for treating viral diseases.

Purpose of the Study:

  • To investigate optimal control strategies for enhancing the innate immune response against viral infections.
  • To determine the most effective therapeutic approach: separate or combined antiviral and interferon treatments.

Main Methods:

  • Developed an optimal control model based on an ordinary-differential-equation system.
  • Analyzed virus-triggered innate immune signaling pathways.
  • Conducted numerical experiments to evaluate different control strategies and cost functions.

Main Results:

  • Proved the existence of solutions for optimal control problems involving antiviral and/or interferon therapy.
  • Separate inhibition of viral replication or enhancement of interferon activity showed advantages over simultaneous combined treatment.
  • Separate treatments resulted in lower costs and better operability.

Conclusions:

  • Separate therapeutic interventions (antiviral or interferon) are more advantageous for controlling viral infections than combined approaches.
  • Findings offer new insights for developing effective treatment strategies against viral infectious diseases.
  • Optimal control theory provides a framework for optimizing therapeutic interventions in virology.