Next Article in Journal
The IPANEMA Project: Underwater Acoustic Structure for Volcanic Activity and Natural CO2 Emissions Monitoring
Previous Article in Journal
A Comparative Experimental Performance Assessment of RTK+OSNMA-Based Positioning for Road Vehicle Applications
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

Dynamic Model of Andrographolide Therapy for COVID-19 †

by
Panittavee Yarnvitayalert
and
Teerapol Saleewong
*
Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand
*
Author to whom correspondence should be addressed.
Presented at the IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, Tainan, Taiwan, 2–4 June 2023.
Eng. Proc. 2023, 55(1), 81; https://doi.org/10.3390/engproc2023055081
Published: 21 December 2023

Abstract

:
Andrographis paniculate extract (APE) has been used as a Thailand traditional medicine owing to andrographolide which is effective for the viral clearance and prevention of disease progression. Several viral infections have been treated with APE, including SARS-CoV-2. The recommended dosage is 180 mg three times a day. We constructed a mathematical viral dynamic model of the SARS-CoV-2 model with andrographolide therapy by different doses. The pharmacokinetic/pharmacodynamic (PK/PD) model reduces the duration of viral clearance with a dose of 60 mg per day. Moreover, APE improved the therapeutic efficacy of COVID-19 therapy.

1. Introduction

Andrographolide is the major active component in Andrographis paniculate extract (APE) and has been used for the treatment of viral diseases such as COVID-19 due to its inhibited production of SARS-CoV-2 infectious virions [1]. Many researchers reported the clinical use of andrographolide for relieving symptoms of common colds and upper respiratory tract infections. In 2003, Kulichenko et al. tried the treatment of influenza with 30 mg and 45 mg of APE per day and decreased the duration of viral disease [2]. Saxena et al. found that 60 mg of APE per day relieved symptoms of uncomplicated upper respiratory tract infections (URTI) [3]. Thamlikitkul et al. researched the efficacy of APE (180–360 mg per day) for pharyngotonsillitis and observed the relief of fever and sore throat. Further, patients were satisfied with a higher dose of APE [4]. In 2021, Kulthanit et al. proposed COVID-19 treatment with 180 mg of APE per day for 5 days [5]. Nevertheless, there are limitations in the clinical use of APE. Thus, we investigated the potential mechanism and effect of andrographolide on the life cycle of SARS-CoV-2.
The pharmacokinetics (PK) of andrographolide on the life cycle of SARS-CoV-2 were explored in terms of in vivo mechanism that cannot be quantified without a blood test or reverse transcription-polymerase chain reaction (RT-PCR) tests to report the quantity of andrographolide in plasma and viral cells. Mathematical modeling is effective for the quantitative and qualitative study of COVID-19 because the model illustrates the amount of andrographolide, viral cell growth, and target cell infection. Goncalves et al. reported a viral dynamic model by using a standard target cell limit model with the eclipse phase to describe SARS-CoV-2 infection and determined viral growth parameters to predict the effects of antiviral treatments [6]. Dodds et al. discussed the potential drugs that influenced the SARS-CoV-2 viral cell cycle to reduce viral load and host cell infection [7].
For andrographolide treatment, we constructed a viral dynamics model which was a two-compartment model using pharmacokinetics and pharmacodynamics (PK/PD) in this study and investigated the efficacy of andrographolide on the SARS-CoV-2 infection. Andrographolide was measured in the plasma and tissue of subjects who took APE and its inhibitory potential was evaluated on viral production. The viral dynamic model was refined with an effective andrographolide dose considering the behavior of target cell infection, virus-cell spread, and virus shedding duration. It was also explored if andrographolide dose affected the relief of symptoms such as fever, cough, and sore throat.

2. Mathematical Model

To investigate the effect of andrographolide dose on the viral life cycle, daily dosages of 30, 45, 60, 180, and 360 mg were given to the subjects, and PK/PD characteristics of andrographolide were explored [8]. PK was defined in in vivo distribution [8], whereas PK was determined to see if the drug’s effect was related to its concentration. The relationship between PK and PD was investigated in the experiment, as seen in Figure 1.

2.1. PK Model

After patients took APE, andrographolide existed in plasma and tissue in the human body. Andrographolide was uptaken into plasma (Cp) at a certain rate of Dose and removed by a rate of k10. Then, andrographolide was uptaken in peripheral tissue (Ct) at a rate of k12, and transferred to plasma at a rate of k21. PK of andrographolide is shown in Figure 2, which explains the concentration of andrographolide in the human body using the two-compartment model. The mathematical equation corresponding to the PK of andrographolide is expressed as
dCp/dt = Dose − (k10 + k12)Cp + k21Ct,
dCt/dt = k12Cpk21Ct,
where Cp is the concentration of andrographolide in plasma, Ct is the concentration of andrographolide in peripheral tissue, and k10, k12, and k21 are rates.

2.2. PK/PD Model

The drug’s effect is related to its concentration in plasma. Thus, the efficacy of andrographolide was assessed with the following equations.
ε (t) = Cp(t)/[Cp(t) + IC50],
where IC50 is the half-maximal inhibitory concentration.
The average efficacy of andrographolide during the first 5 days of treatment was quantified as
εmean = 1/5 05[ Cp(t)/(Cp(t) + IC50)] dt
As andrographolide inhibited the production of SARS-CoV-2 infectious virions, the inhibitory impact of andrographolide was adjusted in the proposed viral dynamic model.

2.3. Viral Dynamic Model

The coronavirus interacts with epithelial cells through the membrane by being bound between the receptor and the protein spike. Then, the uninfected target cell (T) is infected at a certain in the eclipse phase, β, and survives during the incubation period to productively infect cells at a rate of k. New viruses are RNA replicated at a productive rate of p. This process duplicates RNA to reproduce new viruses. The infected cell dies at a rate of δ. New viruses interact with and infect other epithelial cells. Virus cells die at a rate of c (Figure 3).
The mathematical equation corresponding to the viral dynamic model for SARS-CoV-2 treated with andrographolide is as follows.
dT/dt = −βVT
dI1/dt = βVTkI1
dI2/dt = kI1δ I2
dV/dt = pI2cVβVT
where T is target cells, I1 is infected cells in the eclipse phase, I2 is productively infected cells, V is virus cells, and β, k, δ, p, and c are constants.

2.4. Ordinary Differential Equation

Andrographolide inhibited RNA replication in the life cycle of viruses. RNA was replicated at a rate of p. Thus, the viral dynamic model was adjusted by the PK/PD of andrographolide, as shown in Figure 4.
Therefore, Equation (4) was rewritten as follows.
dCp/dt = Dose − (k10 + k12)Cp + k21Ct,
dCt/dt = k12Cpk21Ct,
dT/dt = −βVT,
dI1/dt = βVTkI1,
dI2/dt = kI1δ I2,
dV/dt = (1 − εmean) pI2cVβVT,
where the efficacy is defined as ε (t) = Cp(t)/[Cp(t) + IC50], and the mean effectiveness of andrographolide in the first 5 days is given by εmean = 1/5 05[Cp(t)/(Cp(t) + IC50)]. The half-maximal inhibitory concentration, IC50, was 9.54 μg/mL [5]. The variable of system equation as show in Table 1.

3. Results

We used the mathematical model based on Equation (5) to determine the viral load in the andrographolide therapy. Firstly, we chose the initial value Cp(0) = Dose (ng/mL), Ct(0) = 0 ng/mL, T(0) = 1.33 × 105 cell/mL, I1(0) = 0 cell/mL, I2(0) = 0 cell/mL, V(0) = 102 cell/mL [6] and fixed the parameters as shown in Table 2. The rates k10, k12, and k21 were calculated by fitting the plasma concentration [9]. The chosen dosages for andrographolide were 30, 45, 60, 180, and 360 mg per day. The numerical simulation was carried out with MATLAB to illustrate how andrographolide diffusion in human plasma and tissue impacted the dynamic behavior of viruses (Figure 5). The plasma concentration of andrographolide increased substantially and remained steady for 10 h after beginning the experiment. The mean efficacy of andrographolide, εmean, is presented in Table 3. It was found that the behavior of target and viral cells was similar. The infection occurred on Day 5 and ended on Days 25−30.
In Thailand, the therapeutic dosage of andrographolide is 3 × 180 mg per day. The solution of the PK/PD model and the viral dynamics model with andrographolide treatment of the dosage is shown in Figure 6. In terms of PK, the concentration of andrographolide in plasma and tissues increased and remained steady for 10 h after beginning the dosage. Considering the latent time of 3 days, target cell infection occurred on Day 5, and the virus load peaked on Day 15. The viral clearance occurred on Day 25.

4. Conclusions

The PK/PD model and the viral dynamic model of andrographolide dose on COVID-19 were explored in this study. Andrographolide effectively reduced viral load and target cell infection, showing its efficacy. A dose of 60 mg per day of andrographolide dairy was the most efficient in preventing infection. Andrographolide can be used for the therapy of COVID-19. Due to possible toxicity, side effects, misuse, allergy symptoms, and interactions of APE with other medications, the use of andrographolide must be decided by physicians or pharmacists. As there is an increasing demand for APE with its benefits, the quality of APE in terms of safety and efficacy must be supervised and controlled to use it as medicine.

Author Contributions

Conceptualization, P.Y. and T.S.; methodology, P.Y. and T.S.; software, P.Y.; validation, P.Y. and T.S.; formal analysis, P.Y. and T.S.; investigation, P.Y. and T.S.; resources, P.Y.; data curation, P.Y. and T.S.; writing—original draft preparation, P.Y.; writing—review and editing, P.Y. and T.S.; visualization, P.Y. and T.S.; supervision, T.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Acknowledgments

This work was partially supported by the Science Achievement Scholarship of Thailand from the Department of Mathematics in the Faculty of Science and King Mongkut’s University of Technology Thonburi.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Sa-Ngiamsuntorn, K.; Suksatu, A.; Pewkliang, Y.; Thongsri, P.; Kanjanasirirat, P.; Manopwisedjaroen, S.; Charoensutthivarakul, S.; Wongtrakoongate, P.; Pitiporn, S.; Chaopreecha, J.; et al. Anti-SARS-CoV-2 activity of andrographis paniculata extract and its major component andrographolide in human lung epithelial cells and cytotoxicity evaluation in major organ cell representatives. J. Nat. Prod. 2021, 84, 1261–1270. [Google Scholar] [CrossRef] [PubMed]
  2. Kulichenko, L.L.; Kireyeva, L.V.; Malyshkina, E.N.; Wikman, G. A randomized, controlled study of Kan Jang versus amantadine in the treatment of influenza in Volgograd. J. Herb. Pharmacother. 2003, 3, 77–93. [Google Scholar] [CrossRef] [PubMed]
  3. Saxena, R.C.; Singh, R.; Kumar, P.; Yadav, S.C.; Negi, M.P.; Saxena, V.S.; Joshua, A.J.; Vijayabalaji, V.; Goudar, K.S.; Venkateshwarlu, K.; et al. A randomized double blind placebo controlled clinical evaluation of extract of Andrographis paniculata (KalmCold) in patients with uncomplicated upper respiratory tract infection. Phytomedicine 2010, 17, 178–185. [Google Scholar] [CrossRef] [PubMed]
  4. Thamlikitkul, V.; Dechatiwongse, T.; Theerapong, S.; Chantrakul, C.; Boonroj, P.; Punkrut, W.; Ekpalakorn, W.; Boontaeng, N.; Taechaiya, S.; Petcharoen, S. Efficacy of Andrographis paniculata, Nees for pharyngotonsillistis in adults. J. Med. Assoc. 1991, 74, 437–442. [Google Scholar]
  5. Wanaratna, K.; Leethong, P.; Inchai, N.; Chueawiang, W.; Sriraksa, P.; Tabmee, A.; Sirinavin, S. Efficacy and safety of Andrographis paniculata extract in patients with mild COVID-19: A randomized controlled trial. Arch. Intern. Med. Res. 2022, 5, 423–427. [Google Scholar] [CrossRef]
  6. Gonçalves, A.; Bertrand, J.; Ke, R.; Comets, E.; De Lamballerie, X.; Malvy, D.; Pizzorno, A.; Terrier, O.; Rosa Calatrava, M.; Mentré, F.; et al. Timing of antiviral treatment initiation is critical to reduce SARS-CoV-2 viral load. CPT Pharmacomet. Syst. Pharmacol. 2020, 9, 509–514. [Google Scholar] [CrossRef] [PubMed]
  7. Dodds, M.G.; Krishna, R.; Goncalves, A.; Rayner, C. Model-informed drug repurposing: Viral kinetic modelling to prioritize rational drug combinations for COVID-19. Br. J. Clin. Pharmacol. 2021, 87, 3439–3450. [Google Scholar] [CrossRef] [PubMed]
  8. Ducharme, M.P.; Braga, L. Introduction to pharmacokinetic and pharmacodynamic models and analyses. In Shargel and Yu’s Applied Biopharmaceutics and Pharmacokinetics, 8th ed.; Ducharme, M.P., Shargel, L., Eds.; McGraw Hill: New York, NY, USA, 2022. [Google Scholar]
  9. Panossian, A.; Hovhannisyan, A.; Mamikonyan, G.; Abrahamian, H.; Hambardzumyan, E.; Gabrielian, E.; Goukasova, G.; Wikman, G.; Wagner, H. Pharmacokinetic and oral bioavailability of andrographolide from Andrographis paniculata fixed combination Kan Jang in rats and human. Phytomedicine 2000, 7, 351–364. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Relationship between pharmacokinetic and pharmacodynamic of PC.
Figure 1. Relationship between pharmacokinetic and pharmacodynamic of PC.
Engproc 55 00081 g001
Figure 2. Pharmacokinetic of andrographolide.
Figure 2. Pharmacokinetic of andrographolide.
Engproc 55 00081 g002
Figure 3. Viral dynamic model of SAR-CoV-2 in eclipse phase.
Figure 3. Viral dynamic model of SAR-CoV-2 in eclipse phase.
Engproc 55 00081 g003
Figure 4. Viral dynamic model of SAR-CoV-2 treated with andrographolide.
Figure 4. Viral dynamic model of SAR-CoV-2 treated with andrographolide.
Engproc 55 00081 g004
Figure 5. Numerical solution of PK/PD model and viral dynamic model of COVID-19 with andrographolide treatment in (a) the plasma concentration of drug dosage, (b) the effective of drug dosage, (c) the quantitative of target cell, and (d) the quantitative of viral cell.
Figure 5. Numerical solution of PK/PD model and viral dynamic model of COVID-19 with andrographolide treatment in (a) the plasma concentration of drug dosage, (b) the effective of drug dosage, (c) the quantitative of target cell, and (d) the quantitative of viral cell.
Engproc 55 00081 g005
Figure 6. Numerical solution of PK/PD model and viral dynamic model of COVID-19 with a dose of 180 mg per day of andrographolide: (a) pharmacokinetics of daily dose of 180, (b) plasma concentration of andrographolide, (c) efficacy of andrographolide at IC50, (d) number of COVID-19 cells, (e) number of uninfected target cell, and (f) viral load of viral dynamics model.
Figure 6. Numerical solution of PK/PD model and viral dynamic model of COVID-19 with a dose of 180 mg per day of andrographolide: (a) pharmacokinetics of daily dose of 180, (b) plasma concentration of andrographolide, (c) efficacy of andrographolide at IC50, (d) number of COVID-19 cells, (e) number of uninfected target cell, and (f) viral load of viral dynamics model.
Engproc 55 00081 g006
Table 1. Summary of variables of viral dynamics model.
Table 1. Summary of variables of viral dynamics model.
VariableUnit
CpAndrographolide in plasmang/mL
CtAndrographolide in tissueng/mL
TTarget cellscell/mL
I1Infected cells in eclipse phasecell/mL
I2Productively infected cellscell/mL
VSARs-CoV-2cell/mL
Table 2. Related parameters of viral dynamics model.
Table 2. Related parameters of viral dynamics model.
ParameterValuesDimensionReferences
Dose[30, 45, 60, 180, 360]mg/day-
k103.6228h−1[9]
k124.2259h−1[9]
k211.4233h−1[9]
β2.21 × 10−5mL/cells/day[6]
k3.00day−1[6]
δ0.60day−1[6]
p22.71day−1[6]
c10.00day−1[6]
Table 3. Mean efficacy of andrographolide to treat COVID-19.
Table 3. Mean efficacy of andrographolide to treat COVID-19.
Dose (mg/mL)Mean Efficacy (εmean)
3066.30
4569.90
6072.11
18067.13
36065.34
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Yarnvitayalert, P.; Saleewong, T. Dynamic Model of Andrographolide Therapy for COVID-19. Eng. Proc. 2023, 55, 81. https://doi.org/10.3390/engproc2023055081

AMA Style

Yarnvitayalert P, Saleewong T. Dynamic Model of Andrographolide Therapy for COVID-19. Engineering Proceedings. 2023; 55(1):81. https://doi.org/10.3390/engproc2023055081

Chicago/Turabian Style

Yarnvitayalert, Panittavee, and Teerapol Saleewong. 2023. "Dynamic Model of Andrographolide Therapy for COVID-19" Engineering Proceedings 55, no. 1: 81. https://doi.org/10.3390/engproc2023055081

APA Style

Yarnvitayalert, P., & Saleewong, T. (2023). Dynamic Model of Andrographolide Therapy for COVID-19. Engineering Proceedings, 55(1), 81. https://doi.org/10.3390/engproc2023055081

Article Metrics

Back to TopTop