Population Pharmacokinetics Modeling of Levofloxacin In Rabbit By Intravenous Bolus Injection and Peroral Administration

  • Akhmad Kharis Nugroho Departemen Farmasetika Fakultas Farmasi Universitas Gadjah Mada, Sekip Utara Yogyakarta
  • Puspa Dwi Pratiwi Department of Pharmaceutics, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
  • Shesanti Citrariana Department of Pharmaceutics, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
  • Endang Lukitaningsih Department of Pharmaceutics, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
  • Lukman Hakim Department of Pharmaceutics, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
Keywords: Monolix, intravenous bolus, peroral, the goodness of fit

Abstract

The population-based approach has been widely applied to describe the pharmacokinetic profile of many drugs. The aim of this current research was to study the implementation of the population-based pharmacokinetics of levofloxacin in rabbits administered by intravenous bolus injection and peroral delivery.

Modeling analyses were performed using Monolix, one of the alternative tools for the population-based approach. Monolix works based on the Stochastic Approximation Expectation-Maximization (SAEM) method. The analysis was performed based on the population model using one-compartmental and two-compartmental disposition models. The combination error model was used during the analyses. Modeling appropriateness was determined based on the goodness of fit analyses, i.e., 1) the individual fit, 2) the observed versus population prediction values; and 3) the observed versus individual prediction values

Plasma concentration profiles of levofloxacin by intravenous bolus injection and oral administration are better described by an appropriate model using a two-compartmental disposition model. All goodness of fit analyses demonstrates the power of the chosen model. However, the estimated disposition parameter values obtained based on the intravenous bolus injection and peroral administration are different for each subject. To confirm this phenomenon, we performed a simultaneous fitting of all intravenous bolus as well as peroral administration data. The goodness of fit analyses indicates an adequate fitting of all data.

References

Chan, P.L.S., Jacqmin, P., Lavielle, M., McFadyen, L., dan Weatherley, B., 2011. The use of the SAEM algorithm in MONOLIX software for estimation of population pharmacokineticpharmacodynamic-viral dynamics parameters of maraviroc in asymptomatic HIV subjects.Journal of Pharmacokinetics and Pharmacodynamics, 38: 41–61.
Cheng, F.C., Tsai, T.R., Chen, Y.F., Hung, L.C., Tsai, T.H., 2002. Pharmacokinetic study of levofloxacin in rat blood and bile by microdialysis and high-performance liquid chromatography. J Chromatogr A 961, 131–136. https://doi.org/10.1016/s0021-9673(02)00506-x
Dartois, C., Lemenuel-Diot, A., Laveille, C., Tranchand, B., Tod, M., dan Girard, P., 2007.Evaluation of uncertainty parameters estimated by different population PK software and methods. Journal of Pharmacokinetics and Pharmacodynamics, 34: 289–311.
Fu, K.P., Lafredo, S.C., Foleno, B., Isaacson, D.M., Barrett, J.F., Tobia, A.J., dkk., 1992. In vitro and in vivo antibacterial activities of levofloxacin (l-ofloxacin), an optically active ofloxacin. Antimicrobial Agents and Chemotherapy, 36: 860–866.
Furlanut, M., Brollo, L., Lugatti, E., Di Qual, E., Dolcet, F., Talmassons, G., Pea, F., 2003. Pharmacokinetic aspects of levofloxacin 500 mg once daily during sequential intravenous/oral therapy in patients with lower respiratory tract infections. J. Antimicrob. Chemother. 51, 101–106. https://doi.org/10.1093/jac/dkg035
Ghimire, S., Van’t Boveneind-Vrubleuskaya, N., Akkerman, O.W., de Lange, W.C.M., van Soolingen, D., Kosterink, J.G.W., van der Werf, T.S., Wilffert, B., Touw, D.J., Alffenaar, J.-W.C., 2016. Pharmacokinetic/pharmacodynamic-based optimization of levofloxacin administration in the treatment of MDR-TB. J. Antimicrob. Chemother. 71, 2691–2703. https://doi.org/10.1093/jac/dkw164
McGregor, J.C., Allen, G.P., Bearden, D.T., 2008. Levofloxacin in the treatment of complicated urinary tract infections and acute pyelonephritis. Ther Clin Risk Manag 4, 843–853.
Mohammed, B.S., Engelhardt, T., Cameron, G.A., Cameron, L., Hawksworth, G.M., Hawwa, A.F., McElnay, J., Helms, P.J., McLay, J.S., 2012. Population pharmacokinetics of single-dose intravenous paracetamol in children. Br. J. Anaesth. 108, 823–829. https://doi.org/10.1093/bja/aes025
Mould, D.R. dan Upton, R.N., 2012. Basic Concepts in Population Modeling, Simulation, and Model-Based Drug Development. CPT: Pharmacometrics & Systems Pharmacology, 1: e6.
Owen, J.S., Fiedler-Kelly, J., 2014. Introduction to population pharmacokinetic/pharmacodynamic analysis with nonlinear mixed effects models. Wiley, Hoboken, New Jersey.
Sheiner, L.B., Rosenberg, B., Melmon, K.L., 1972. Modelling of individual pharmacokinetics for computer-aided drug dosage. Comput. Biomed. Res. 5, 411–459.
Sitovs, A., Voiko, L., Kustovs, D., Kovalcuka, L., Bandere, D., Purvina, S., Giorgi, M.. 2020. Pharmacokinetic profiles of levofloxacin after intravenous, intramuscular and subcutaneous administration to rabbits (Oryctolagus cuniculus). J. Vet. Sci. 21(2):e32, https://www.vetsci.org/DOIx.php?id=10.4142/jvs.2020.21.e32
Wastney, M.E., Patterson, B.H., Linares, O.A., Greif, P.C., Boston, R.C., 1998. Investigating Biological Systems Using Modeling: Strategies and Software, 1 edition. ed. Academic Press, San Diego.
Zheng, S., Matzneller, P., Zeitlinger, M., Schmidt, S., 2014. Development of a Population Pharmacokinetic Model Characterizing the Tissue Distribution of Azithromycin in Healthy Subjects. Antimicrob. Agents Chemother. 58, 6675–6684. https://doi.org/10.1128/AAC.02904-14
Published
2021-08-10
How to Cite
Kharis Nugroho, A., Pratiwi, P. D., Citrariana, S., Lukitaningsih, E., & Hakim, L. (2021). Population Pharmacokinetics Modeling of Levofloxacin In Rabbit By Intravenous Bolus Injection and Peroral Administration. Indonesian Journal of Pharmacy, 32(3), 349–355. https://doi.org/10.22146/ijp.1073
Section
Research Article