The aim of this study is to develop a physiologically based pharmacokinetic (PBPK) model in intra-abdominal infected rats, and extrapolate it to human to predict moxifloxacin pharmacokinetics profiles in various tissues in intra-abdominal infected human. 12 male rats with intra-abdominal infections, induced by Escherichia coli, received a single dose of 40 mg/kg body weight of moxifloxacin. Blood plasma was collected at 5, 10, 20, 30, 60, 120, 240, 480, 1440 min after drug injection. A PBPK model was developed in rats and extrapolated to human using GastroPlus software. The predictions were assessed by comparing predictions and observations. In the plasma concentration versus time profile of moxifloxcinin rats, Cmax was 11.151 µg/mL at 5 min after the intravenous injection and t1/2 was 2.936 h. Plasma concentration and kinetics in human were predicted and compared with observed datas. Moxifloxacin penetrated and accumulated with high concentrations in redmarrow, lung, skin, heart, liver, kidney, spleen, muscle tissues in human with intra-abdominal infection. The predicted tissue to plasma concentration ratios in abdominal viscera were between 1.1 and 2.2. When rat plasma concentrations were known, extrapolation of a PBPK model was a method to predict drug pharmacokinetics and penetration in human. Moxifloxacin has a good penetration into liver, kidney, spleen, as well as other tissues in intra-abdominal infected human. Close monitoring are necessary when using moxifloxacin due to its high concentration distribution. This pathological model extrapolation may provide reference to the PK/PD study of antibacterial agents.
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http://dx.doi.org/10.4196/kjpp.2015.19.2.99 | DOI Listing |
Biopharm Drug Dispos
December 2024
Department of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, China.
Amphotericin B (AmB) has been a cornerstone in the treatment of invasive fungal infections for over 6 decades. Compared with conventional amphotericin B deoxycholate (AmB-DOC), liposomal amphotericin B has comparable efficacy but less nephrotoxicity. The main purpose of this study was to investigate the reason why liposomal amphotericin B has similar therapeutic effects but lower toxicity and the differences of distribution in humans between liposomal amphotericin B and AmB-DOC.
View Article and Find Full Text PDFClin Pharmacol Ther
December 2024
College of Pharmacy, CHA University, Seongnam-si, Gyeonggi-do, South Korea.
Escitalopram is commonly prescribed for depressive and anxiety disorders in elderly patients, who often show variable drug responses and face higher risks of side effects due to age-related changes in organ function. The CYP2C19 polymorphism may further affect escitalopram pharmacokinetics in elderly patients, complicating dose optimization for this group. Previous pharmacogenetic studies examining the impact of CYP2C19 phenotype on escitalopram treatment outcomes have primarily focused on younger adults, leaving a gap in understanding its effects on the elderly.
View Article and Find Full Text PDFDrugs R D
December 2024
Galapagos SASU, Romainville, France.
Background And Objective: This study provides a physiologically based pharmacokinetic (PBPK) model-based analysis of the potential drug-drug interaction (DDI) between cyclosporin A (CsA), a breast cancer resistance protein transporter (BCRP) inhibitor, and methotrexate (MTX), a putative BCRP substrate.
Methods: PBPK models for CsA and MTX were built using open-source tools and published data for both model building and for model verification and validation. The MTX and CsA PBPK models were evaluated for their application in simulating BCRP-related DDIs.
CPT Pharmacometrics Syst Pharmacol
December 2024
Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California, USA.
Ritonavir (RTV) is a potent CYP3A inhibitor that is widely used as a pharmacokinetic (PK) enhancer to increase exposure to select protease inhibitors. However, as a strong and complex perpetrator of CYP3A interactions, RTV can also enhance the exposure of other co-administered CYP3A substrates, potentially causing toxicity. Therefore, the prediction of drug-drug interactions (DDIs) and estimation of dosing requirements for concomitantly administered drugs is imperative.
View Article and Find Full Text PDFTher Adv Drug Saf
December 2024
Genetics and Biochemistry Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China.
Background: Aripiprazole and risperidone, widely used atypical antipsychotics, are commonly adjunctively prescribed in clinical practice. When aripiprazole was combined with risperidone, the genotype of drug-metabolizing enzymes and liver impairment may lead to complex pharmacokinetic changes. The Physiologically Based Pharmacokinetic (PBPK) model can predict the influence of these factors on plasma concentration and optimize dosage regimens.
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