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      Pharmacokinetic-Pharmacodynamic Model of Newly Developed Dexibuprofen Sustained Release Formulations

      research-article
      *
      ISRN Pharmaceutics
      International Scholarly Research Network

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          Abstract

          Pharmacokinetic-pharmacodynamic (PK-PD) modeling has emerged as a major tool in clinical pharmacology to optimize drug use by designing rational dosage forms and dosage regimes. Quantitative representation of the dose-concentration-response relationship should provide information for the prediction of the level of response to a certain level of drug dose. This paper describes the experimental details of the preformulation study, tablet manufacture, optimization, and bioanalytical methods for the estimation of dexibuprofen in human plasma. The hydrophilic matrix was prepared with xanthen gum with additives Avicel PH 102. The effect of the concentration of the polymer and different filler, on the in vitro drug release, was studied. Various pharmacokinetic parameters including AUC 0– t , AUC 0–∞, C max, T max, T 1/2, and elimination rate constant ( K el) were determined from the plasma concentration of both formulations of test (dexibuprofen 300 mg) and reference (dexibuprofen 300 mg tablets). The merits of PK-PD in the development of dosage forms and how PK-PD model development necessitates the development of new drugs and bio analytical method development and validation are discussed. The objectives of the present study, namely, to develop and validate the methods to estimate the selected drugs in the biological fluids by HPLC, the development of in vitro dissolution methods, and PK-PD model development have been described.

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          Most cited references27

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          Peroxisome proliferator-activated receptors alpha and gamma are activated by indomethacin and other non-steroidal anti-inflammatory drugs.

          Indomethacin is a non-steroidal anti-inflammatory drug (NSAID) and cyclooxygenase inhibitor that is frequently used as a research tool to study the process of adipocyte differentiation. Treatment of various preadipocyte cell lines with micromolar concentrations of indomethacin in the presence of insulin promotes their terminal differentiation. However, the molecular basis for the adipogenic actions of indomethacin had remained unclear. In this report, we show that indomethacin binds and activates peroxisome proliferator-activated receptor gamma (PPARgamma), a ligand-activated transcription factor known to play a pivotal role in adipogenesis. The concentration of indomethacin required to activate PPARgamma is in good agreement with that required to induce the differentiation of C3H10T1/2 cells to adipocytes. We demonstrate that several other NSAIDs, including fenoprofen, ibuprofen, and flufenamic acid, are also PPARgamma ligands and induce adipocyte differentiation of C3H10T1/2 cells. Finally, we show that the same NSAIDs that activate PPARgamma are also efficacious activators of PPARalpha, a liver-enriched PPAR subtype that plays a key role in peroxisome proliferation. Interestingly, several NSAIDs have been reported to induce peroxisomal activity in hepatocytes both in vitro and in vivo. Our findings define a novel group of PPARgamma ligands and provide a molecular basis for the biological effects of these drugs on adipogenesis and peroxisome activity.
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            Simultaneous modeling of pharmacokinetics and pharmacodynamics: application to d-tubocurarine.

            We propose a model of drug pharmacodynamic response that when integrated with a pharmacokinetic model allows characterization of the temporal aspects of pharmacodynamics as well as the time-independent sensitivity component. The total model can accommodate extremes of effect. It allows fitting of simultaneous plasma concentration (Cp) and effect data from the initial distribution phase of drug administration, or from any non-equilibrium phase. The model postulates a hypothetical effect compartment, the dynamics of which are adjusted to reflect the temporal dynamics of drug effect. The effect compartment is modeled as an additional compartment linked to the plasma compartment by a first-order process, but whose exponential does not enter into the pharmacokinetic solution for the mass of drug in the body. The hypothetical amount of drug in the effect compartment is then related to the observed effect by the Hill equation, a nonlinear sigmoid form. Nonlinear least-squares data fitting is used for parameter estimation. The model is demonstrated on two different sets of Cp and effect data for the drug d-tubocurarine (dTC). In 7 normal subjects, the (mean +/- SD) rate constant for equilibration of dTC effect (paralysis) and Cp is 0.13 +/- 0.04 min-1 and the (mean +/- SD) steady-state Cp required to produce 50% paralysis is 0.37 +/- 0.05 microgram/ml.
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              Physiologic indirect response models characterize diverse types of pharmacodynamic effects.

              A family of four basic physiologic indirect response models has been proposed to account for the pharmacodynamics of drugs that act by way of inhibition or stimulation of the production or loss of endogenous substances or mediators. Such models were applied previously to account for the anticoagulant effects of warfarin, adrenal suppression by corticosteroids, cell trafficking effects of corticosteroids, antipyretic effects of ibuprofen, and aldose reductase inhibition. Additional responses that can be readily characterized with such models include muscular contraction from pyridostigmine, diuresis from furosemide, bronchodilation from terbutaline, prolactin secretion after cimetidine, and potassium suppression by terbutaline. This report shows that indirect response models, rather than "link" or "hypothetical effect compartment" models, may be more appropriate for diverse drugs when time lags exist between plasma or biophase drug concentrations and the time course of pharmacodynamic responses.
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                Author and article information

                Journal
                ISRN Pharm
                ISRN Pharm
                ISRN.PHARMACEUTICS
                ISRN Pharmaceutics
                International Scholarly Research Network
                2090-6145
                2090-6153
                2012
                6 December 2012
                : 2012
                : 451481
                Affiliations
                Faculty of Pharmacy, AIMST University, Semeling, 08100 Bedong, Malaysia
                Author notes
                *Selvadurai Muralidharan: murali23pharm@ 123456hotmail.com

                Academic Editors: M. AghazadehTabrizi and A. Al-Achi

                Article
                10.5402/2012/451481
                3534360
                23316393
                96403b49-8f40-4caf-bb6f-6982817f0d57
                Copyright © 2012 Selvadurai Muralidharan.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 October 2012
                : 6 November 2012
                Categories
                Research Article

                Pharmacology & Pharmaceutical medicine
                Pharmacology & Pharmaceutical medicine

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