Mathematical Modeling of Andrographolide Therapy Effects and Immune Response in In Vivo Dynamics of SARS-CoV-2 Infection

Journal article


Authors/Editors


Strategic Research Themes


Publication Details

Author listPanittavee Yarnvitayalert and Teerapol Saleewong

PublisherMDPI

Publication year2025

Volume number17

Issue number891

Start page1

End page16

Number of pages16

ISSN19994915

eISSN1999-4915


Abstract

This study explores the viral dynamics of SARS-CoV-2 infection within host cells by incorporating the pharmacological effects of andrographolide—a bioactive compound extracted from Andrographis paniculata, renowned for its antiviral, anti-inflammatory, and
immunomodulatory properties. Through the application of mathematical modeling, the
interactions among the virus, host cells, and immune responses are simulated to provide a
comprehensive analysis of viral behavior over time. Two distinct models were employed to
assess the impact of varying andrographolide dosages on viral load, target cell populations,
and immune responses. One model revealed a clear dose–response relationship, whereas
the other indicated that additional biological or pharmacological factors may modulate
drug efficacy. Both models demonstrated stability, with basic reproductive numbers (R0)
suggesting the potential for viral propagation in the absence of effective therapeutic interventions. This study emphasizes the significance of understanding the pharmacokinetics
(PK) and pharmacodynamics (PD) of andrographolide to optimize its therapeutic potential.
The findings also underscore the necessity for further investigation into the compound’s
absorption, distribution, metabolism, and excretion (ADME) characteristics, as well as
its prospective applications in the treatment of not only COVID-19 but also other viral
infections. Overall, the results lay a foundational framework for future experimental research and clinical trials aimed at refining andrographolide dosing regimens and improving
patient outcomes.


Keywords

AndrographolideCOVID-19Mathematical modelingpharmacokineticviral dynamic model


Last updated on 2025-01-09 at 12:01