The Influence of Wuzhi Capsule on the Pharmacokinetics of Cyclophosphamide

2021 ◽  
Vol 16 ◽  
Author(s):  
Lu Chen ◽  
Ning Ji ◽  
Min Zhang ◽  
Wanyi Chen
Keyword(s):  
Liver Toxicity ◽  
Effective Dosage ◽  
Pharmacokinetic Data ◽  
Time Curve ◽  
Pbpk Models ◽  
Physiologically Based Pharmacokinetic ◽  
Concentration Time ◽  
Multiple Doses ◽  
Wuzhi Capsule ◽  
Clinical Pharmacokinetic Data

Background: Cyclophosphamide is approved for the treatment of a variety of tumors, yet the use of cyclophosphamide is limited by kidney and liver toxicity. In the clinic, the Wuzhi capsule is approved to attenuate cyclophosphamide toxicity in the kidney and liver. Objective: We aimed to investigate the effects of the principal ingredients of Wuzhi capsule, schisandrin A (SIA) and schisantherin A (STA), on the pharmacokinetics of cyclophosphamide. Methods: The essential pharmacokinetic data and physicochemical parameters of SIA, STA, and cyclophosphamide were collected. Physiologically based pharmacokinetic (PBPK) models of SIA, STA, and cyclophosphamide were built in Simcyp Simulator and verified using published clinical pharmacokinetic data. The verified PBPK models were used to predict potential herb-drug interactions (HDIs) between cyclophosphamide and SIA and STA in cancer patients. Results: The area under the plasma concentration–time curve (AUC) of cyclophosphamide was increased by 18% and 1% when co-administered with STA and SIA at a single dose, respectively, and increased by 301% and 29% when co-administered with STA and SIA at multiple doses, respectively. The maximum concentration (Cmax) of cyclophosphamide was increased by 75% and 7% when co-administered with STA and SIA at multiple doses, respectively. Conclusion: The AUC and Cmax of cyclophosphamide were increased when cyclophosphamide was combined with the Wuzhi capsule, compared to cyclophosphamide alone. Our study shows that the adverse drug reactions and toxicity of cyclophosphamide should be closely monitored and an effective dosage adjustment of cyclophosphamide may need to be considered when co-administered with the Wuzhi capsule.

scholarly journals Physiologically Based Pharmacokinetic Models of Probenecid and Furosemide to Predict Transporter Mediated Drug-Drug Interactions

2020 ◽  
Vol 37 (12) ◽  
Author(s):  
Hannah Britz ◽  
Nina Hanke ◽  
Mitchell E. Taub ◽  
Ting Wang ◽  
Bhagwat Prasad ◽  
...  
Keyword(s):  
Plasma Concentration ◽  
Organic Anion ◽  
Plasma Concentrations ◽  
Whole Body ◽  
Time Profiles ◽  
Pbpk Models ◽  
Physiologically Based Pharmacokinetic ◽  
Concentration Time ◽  
Anion Transporter ◽  
Physiologically Based

Abstract Purpose To provide whole-body physiologically based pharmacokinetic (PBPK) models of the potent clinical organic anion transporter (OAT) inhibitor probenecid and the clinical OAT victim drug furosemide for their application in transporter-based drug-drug interaction (DDI) modeling. Methods PBPK models of probenecid and furosemide were developed in PK-Sim®. Drug-dependent parameters and plasma concentration-time profiles following intravenous and oral probenecid and furosemide administration were gathered from literature and used for model development. For model evaluation, plasma concentration-time profiles, areas under the plasma concentration–time curve (AUC) and peak plasma concentrations (Cmax) were predicted and compared to observed data. In addition, the models were applied to predict the outcome of clinical DDI studies. Results The developed models accurately describe the reported plasma concentrations of 27 clinical probenecid studies and of 42 studies using furosemide. Furthermore, application of these models to predict the probenecid-furosemide and probenecid-rifampicin DDIs demonstrates their good performance, with 6/7 of the predicted DDI AUC ratios and 4/5 of the predicted DDI Cmax ratios within 1.25-fold of the observed values, and all predicted DDI AUC and Cmax ratios within 2.0-fold. Conclusions Whole-body PBPK models of probenecid and furosemide were built and evaluated, providing useful tools to support the investigation of transporter mediated DDIs.

scholarly journals Development of a Physiologically Based Pharmacokinetic Model for Prediction of Ethanol Concentration-Time Profile in Different Organs

2020 ◽  
Author(s):  
Armin Sadighi ◽  
Lorenzo Leggio ◽  
Fatemeh Akhlaghi
Keyword(s):  
Pbpk Model ◽  
Organ Damage ◽  
Time Profile ◽  
Sensitivity Analyses ◽  
Pbpk Modeling ◽  
Time Curve ◽  
Physiologically Based Pharmacokinetic ◽  
Concentration Time ◽  
Physiologically Based

Abstract Aims A physiologically based pharmacokinetic (PBPK) modeling approach was used to simulate the concentration-time profile of ethanol (EtOH) in stomach, duodenum, plasma and other tissues upon consumption of beer and whiskey under fasted and fed conditions. Methods A full PBPK model was developed for EtOH using the advanced dissolution, absorption and metabolism (ADAM) model fully integrated into the Simcyp Simulator® 15 (Simcyp Ltd., Sheffield, UK). The prediction performance of the developed model was verified and the EtOH concentration-time profile in different organs was predicted. Results Simcyp simulation showed ≤ 2-fold difference in values of EtOH area under the concentration-time curve (AUC) in stomach and duodenum as compared to the observed values. Moreover, the simulated EtOH maximum concentration (Cmax), time to reach Cmax (Tmax) and AUC in plasma were comparable to the observed values. We showed that liver is exposed to the highest EtOH concentration, faster than other organs (Cmax = 839.50 mg/L and Tmax = 0.53 h), while brain exposure of EtOH (AUC = 1139.43 mg·h/L) is the highest among all other organs. Sensitivity analyses (SAs) showed direct proportion of EtOH rate and extent of absorption with administered EtOH dose and inverse relationship with gastric emptying time (GE) and steady-state volume of distribution (Vss). Conclusions The current PBPK model approach might help with designing in vitro experiments in the area of alcohol organ damage or alcohol-drug interaction studies.

scholarly journals Pharmacokinetic Interaction Study of Ritonavir-Boosted Saquinavir in Combination with Rifabutin in Healthy Subjects

2010 ◽  
Vol 55 (2) ◽  
pp. 680-687 ◽  
Author(s):  
Xiaoping Zhang ◽  
Scott Fettner ◽  
Elke Zwanziger ◽  
Lucy Rowell ◽  
Miklos Salgo
Keyword(s):  
Healthy Subjects ◽  
Pharmacokinetic Interaction ◽  
Interaction Study ◽  
Time Curve ◽  
Once Daily ◽  
Active Moiety ◽  
Concentration Time ◽  
Multiple Doses ◽  
Group 3 ◽  
Group 1

ABSTRACTThe effect of multiple doses of rifabutin (150 mg) on the pharmacokinetics of saquinavir-ritonavir (1,000 mg of saquinavir and 100 mg of ritonavir [1,000/100 mg]) twice daily (BID) was assessed in 25 healthy subjects. Rifabutin reduced the area under the plasma drug concentration-time curve from 0 to 12 h postdose (AUC0-12), maximum observed concentration of drug in plasma (Cmax), and minimum observed concentration of drug in plasma at the end of the dosing interval (Cmin) for saquinavir by 13%, 15%, and 9%, respectively, for subjects receiving rifabutin (150 mg) every 3 days with saquinavir-ritonavir BID. No effects of rifabutin on ritonavir AUC0-12,Cmax, andCminwere observed. No adjustment of the saquinavir-ritonavir dose (1,000/100 mg) BID is required when the drugs are administered in combination with rifabutin. The effect of multiple doses of saquinavir-ritonavir on rifabutin pharmacokinetics was evaluated in two groups of healthy subjects. In group 1 (n= 14), rifabutin (150 mg) was coadministered every 3 days with saquinavir-ritonavir BID. The AUC0-72andCmaxof the active moiety (rifabutin plus 25-O-desacetyl-rifabutin) increased by 134% and 130%, respectively, compared with administration of rifabutin (150 mg) once daily alone. Rifabutin exposure increased by 53% for AUC0-72and by 86% forCmax. In group 3 (n =13), rifabutin was coadministered every 4 days with saquinavir-ritonavir BID. The AUC0-96andCmaxof the active moiety increased by 60% and 111%, respectively, compared to administration of 150 mg of rifabutin once daily alone. The AUC0-96of rifabutin was not affected, andCmaxincreased by 68%. Monitoring of neutropenia and liver enzyme levels is recommended for patients receiving rifabutin with saquinavir-ritonavir BID.

scholarly journals Pharmacokinetic Study of an Oral Cephalosporin, Cefdinir, in Hemodialysis Patients

1998 ◽  
Vol 42 (7) ◽  
pp. 1718-1721 ◽  
Author(s):  
Akira Hishida ◽  
Kazuhisa Ohishi ◽  
Satoru Nagashima ◽  
Mitsutaka Kanamaru ◽  
Masao Obara ◽  
...  
Keyword(s):  
Multiple Dose ◽  
Hemodialysis Patients ◽  
Pharmacokinetic Data ◽  
Maximum Plasma ◽  
Oral Cephalosporin ◽  
Time Curve ◽  
Elimination Phase ◽  
Concentration Time ◽  
Elimination Half ◽  
Sufficient Concentration

ABSTRACT The pharmacokinetics of cefdinir were investigated in six hemodialysis patients. For the present study, two tests were carried out, one with 4 h of hemodialysis and the other without hemodialysis. Cefdinir was given orally to each patient in a dose of 100 mg, and blood was collected serially for 48 h after dosing in the test without dialysis and for 72 h in the test with dialysis. In the test without dialysis, the maximum plasma concentration (C max) was 2.36 ± 0.53 μg/ml (mean ± standard deviation) and the time to C max was 9.00 ± 2.45 h. The terminal elimination half-life (t 1/2) and area under the concentration-time curve (AUC) were 16.95 ± 1.20 h and 69.05 ± 14.84 μg · h/ml, respectively. In the test with dialysis,t 1/2 during hemodialysis decreased approximately to one-sixth of that obtained in the test without dialysis, although t 1/2 in the latter elimination phase did not differ from that in the nondialysis test. AUC was reduced to 43% of that in the test without dialysis. The fractional removal of cefdinir by hemodialysis was 61%. These findings indicate that clearance of cefdinir is prolonged in patients with renal failure, and cefdinir is well removed by introduction of hemodialysis, although t 1/2 (during hemodialysis) and AUC were two and eight times higher than the data previously reported for healthy volunteers, respectively. The pharmacokinetic data suggest that 100 mg of oral cefdinir once a day would result in a sufficient concentration in plasma in hemodialysis patients, but this remains to be confirmed by multiple-dose studies.

Pharmacokinetics, safety and tolerability of ravidasvir, with and without danoprevir/ritonavir, in healthy subjects

2021 ◽  
Author(s):  
Guolan Wu ◽  
Huili Zhou ◽  
Jing Wu ◽  
Duo Lv ◽  
Lihua Wu ◽  
...  
Keyword(s):  
Steady State ◽  
Plasma Concentration ◽  
Fold Increase ◽  
Sequential Design ◽  
Maximum Plasma ◽  
Double Blind ◽  
Time Curve ◽  
Once Daily ◽  
Concentration Time ◽  
Multiple Doses

Ravidasvir (RDV) is a novel oral hepatitis C virus NS5A inhibitor. This study aimed to evaluate the pharmacokinetics and safety of RDV and the drug–drug interaction between RDV and ritonavir-boosted danoprevir (DNVr) in healthy adults. In 1 st study, healthy volunteers were administered oral single doses of 100, 200 and 300 mg RDV and 200 mg once daily for 7 days. The 2 nd study was randomized, double-blind and placebo-controlled sequential design (day 1 for 200 mg RDV alone, day 7 for 100 mg/100 mg DNVr, day 13 for 200 mg RDV plus 100mg/100mg DNVr, followed by RDV 200 mg once daily with DNVr 100mg/100mg twice daily for 10 days). The results showed that RDV exposure increased in a dose-proportional manner following a single dose with no evidence of accumulation with multiple doses. Co-administration with DNVr regimen (100 mg/100 mg, twice daily) resulted in a 2.92- and 1.99-fold increase in minimum plasma concentration at steady state (C min,ss ) and area under the concentration–time curve at steady state (AUC τ ) of RDV. With co-administration of RDV, maximum plasma concentration (C max ) and area under the concentration curve from zero to 12 h (AUC 0-12 ) of DNV increased 1.71-fold and 2.33-fold, respectively. We did not observe any significant changes in ritonavir exposure. Both single and multiple doses of RDV with or without DNVr were well tolerated. The favorable pharmacokinetic and safety results support ravidasvir’s continued clinical development and treatment.

scholarly journals Penetration of Linezolid into Soft Tissues of Healthy Volunteers after Single and Multiple Doses

2005 ◽  
Vol 49 (6) ◽  
pp. 2367-2371 ◽  
Author(s):  
Pejman Dehghanyar ◽  
Cornelia Bürger ◽  
Markus Zeitlinger ◽  
Florian Islinger ◽  
Florian Kovar ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Soft Tissues ◽  
In Vivo Microdialysis ◽  
Time Curve ◽  
Concentration Time ◽  
Multiple Doses ◽  
Muscle Tissues ◽  
Subcutaneous Adipose ◽  
Free Plasma

ABSTRACT The present study tested the ability of linezolid to penetrate soft tissues in healthy volunteers. Ten healthy volunteers were subjected to linezolid drug intake at a dose of 600 mg twice a day for 3 to 5 days. The first dose was administered intravenously. All following doses were self-administered orally. The tissue penetration of linezolid was assessed by use of in vivo microdialysis. In the single-dose experiments the ratios of the area under the concentration-time curve from 0 to 8 h (AUC0-8) for tissue to the AUC0-8 for free plasma were 1.4 ± 0.3 (mean ± standard deviation) and 1.3 ± 0.4 for subcutaneous adipose and muscle tissue, respectively. After multiple doses, the corresponding mean ratios were 0.9 ± 0.2 and 1.0 ± 0.5, respectively. The ratios of the AUC from 0 to 24 h (AUC0-24) for free linezolid in tissues to the MIC were between 50 and 100 for target pathogens with MICs between 2 and 4 mg/liter. In conclusion, the present study showed that linezolid penetrates rapidly into the interstitial space fluid of subcutaneous adipose and skeletal muscle tissues in healthy volunteers. On the basis of pharmacokinetic-pharmacodynamic calculations, we suggest that linezolid concentrations in soft tissues can be considered sufficient to inhibit the growth of many clinically relevant bacteria.

The Influence of Different Triazole Antifungal Agents on the Pharmacokinetics of Cyclophosphamide

2020 ◽  
Vol 54 (7) ◽  
pp. 676-683
Author(s):  
Tian Cai ◽  
Youming Liao ◽  
Zhenhua Chen ◽  
Yingchang Zhu ◽  
Xincai Qiu
Keyword(s):  
Plasma Concentration ◽  
Cancer Patients ◽  
Antifungal Agents ◽  
Fungal Infections ◽  
Antifungal Drugs ◽  
Pharmacokinetic Parameters ◽  
Time Curve ◽  
Pbpk Models ◽  
Concentration Time ◽  
Physicochemical Data

Background: Cyclophosphamide is one of the most important chemotherapeutic drugs. Known as a widely accepted treatment strategy, chemotherapy may damage the immune function of cancer patients; as a result, invasive fungal infections (IFIs) occur. Triazole antifungal agents are the most acceptable drugs for IFI treatment, especially those infections caused by chemotherapy. Objective: We aimed to investigate the effects of different triazole antifungal drugs, including fluconazole, itraconazole, and ketoconazole, on the pharmacokinetics (PK) of cyclophosphamide. In addition, we also characterize the potential drug-drug interactions (DDIs) between cyclophosphamide and various triazole antifungal drugs. Methods: The necessary pharmacokinetic parameters and physicochemical data were obtained from published studies. Physiologically based pharmacokinetic (PBPK) models were developed and validated in virtual subjects using Simcyp software. The validated PBPK models were used to evaluate potential DDIs between cyclophosphamide and different triazole antifungal agents in cancer patients. Triazole antifungal agents were simulated by oral administration, whereas cyclophosphamide was simulated by intravenous administration. Results: Simulated plasma concentration-time curves of fluconazole, itraconazole, ketoconazole, and cyclophosphamide were in good consistency with the observed profiles. Our results suggested that the pharmacokinetic parameters of cyclophosphamide were increased by various extents when coadministered with different triazole antifungals. The area under the plasma concentration-time curve of cyclophosphamide was increased when combined with fluconazole, itraconazole, or ketoconazole. Conclusions and Relevance: Ketoconazole had the greatest effect on the PK of cyclophosphamide among the 3 triazole antifungals. Our study provides clues that the toxicity and adverse drug reactions that are associated with cyclophosphamide should be closely monitored when coadministered with ketoconazole.

scholarly journals A Physiologically Based Pharmacokinetic Analysis To Predict the Pharmacokinetics of Intravenous Isavuconazole in Patients with or without Hepatic Impairment

2021 ◽  
Vol 65 (5) ◽  
Author(s):  
Huiping Huang ◽  
Helin Xie ◽  
Nupur Chaphekar ◽  
Ruichao Xu ◽  
Raman Venkataramanan ◽  
...  
Keyword(s):  
Hepatic Impairment ◽  
Pbpk Model ◽  
Pharmacokinetic Analysis ◽  
Moderate Hepatic Impairment ◽  
Healthy Population ◽  
Severe Hepatic Impairment ◽  
Time Curve ◽  
Physiologically Based Pharmacokinetic ◽  
Concentration Time ◽  
Physiologically Based

ABSTRACT Isavuconazole (ISA) is an azole antifungal used in the treatment of invasive aspergillosis and mucormycosis. Patients with mild or moderate hepatic impairment have lower clearance (CL) than the healthy population. Currently, there are no data on ISA in patients with severe hepatic impairment (Child-Pugh class C). The purposes of this study were to build a physiologically based pharmacokinetic (PBPK) model to describe the pharmacokinetics (PK) of intravenous ISA and to predict changes in ISA disposition in different patient populations and in patients with hepatic impairment so as to guide personalized dosing. By incorporating the systemic and drug-specific parameters of ISA, the model was initially developed in a healthy population and was validated with 10 independent PK profiles obtained from healthy subjects and from patients with normal liver function. The results showed satisfactory predictive capacity; most of the relative predictive errors were within ±30% for the area under the concentration-time curve (AUC) and the maximum concentration of the drug in serum (Cmax). The observed concentration-time profiles of ISA in plasma were well described by the model-predicted profiles. The model adequately predicted the reduced CL of ISA in patients with mild or moderate hepatic impairment. Furthermore, the model predicted a decrease in CL of about 60% in patients with severe hepatic impairment. Therefore, we recommend reducing the dose by 50% in patients with severe hepatic impairment. The model also predicted differences in the PK of ISA between Caucasian and Asian populations, with a Chinese/Caucasian CL ratio of 0.67. The PBPK model of ISA that was developed provides a reasonable approach for optimizing the dosage regimen in different ethnic populations and in patients with severe hepatic impairment.

scholarly journals Physiologically Based Pharmacokinetic Modeling of Cefadroxil in Mouse, Rat, and Human to Predict Concentration–Time Profile at Infected Tissue

2021 ◽  
Vol 12 ◽  
Author(s):  
Zhongxia Tan ◽  
Youxi Zhang ◽  
Chao Wang ◽  
Le Sun
Keyword(s):  
Plasma Concentration ◽  
Pbpk Model ◽  
Oral Absorption ◽  
Time Profile ◽  
Infected Tissue ◽  
Dose Selection ◽  
Pbpk Models ◽  
Physiologically Based Pharmacokinetic ◽  
Concentration Time ◽  
Physiologically Based

The aim of this study was to develop physiologically based pharmacokinetic (PBPK) models capable of simulating cefadroxil concentrations in plasma and tissues in mouse, rat, and human. PBPK models in this study consisted of 14 tissues and 2 blood compartments. They were established using measured tissue to plasma partition coefficient (Kp) in mouse and rat, absolute expression levels of hPEPT1 along the entire length of the human intestine, and the transporter kinetic parameters. The PBPK models also assumed that all the tissues were well-stirred compartments with perfusion rate limitations, and the ratio of the concentration in tissue to the unbound concentration in plasma is identical across species. These PBPK models were validated strictly by a series of observed plasma concentration–time profile data. The average fold error (AFE) and absolute average fold error (AAFE) values were all less than 2. The models’ rationality and accuracy were further demonstrated by the almost consistent Vss calculated by the PBPK model and noncompartmental method, as well as the good allometric scaling relationship of Vss and CL. The model suggests that hPEPT1 is the major transporter responsible for the oral absorption of cefadroxil in human, and the plasma concentration–time profiles of cefadroxil were not sensitive to dissolution rate faster than T85% = 2 h. The cefadroxil PBPK model in human is reliable and can be used to predict concentration–time profile at infected tissue. It may be useful for dose selection and informative decision-making during clinical trials and dosage form design of cefadroxil and provide a reference for the PBPK model establishment of hPEPT1 substrate.

scholarly journals Telavancin Penetration into Human Epithelial Lining Fluid Determined by Population Pharmacokinetic Modeling and Monte Carlo Simulation

2008 ◽  
Vol 52 (7) ◽  
pp. 2300-2304 ◽  
Author(s):  
Thomas P. Lodise ◽  
Mark Gotfried ◽  
Steven Barriere ◽  
George L. Drusano
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Pharmacokinetic Analysis ◽  
Population Pharmacokinetic ◽  
Model Parameters ◽  
Pharmacokinetic Data ◽  
Epithelial Lining ◽  
Time Curve ◽  
Epithelial Lining Fluid ◽  
Concentration Time

ABSTRACT Telavancin is an investigational bactericidal lipoglycopeptide with a multifunctional mechanism of action, as demonstrated against methicillin-resistant Staphylococcus aureus. While the plasma pharmacokinetics have been described, the extent of the penetration of the drug into the lung, measured by the epithelial lining fluid (ELF), remains unknown. Population modeling and Monte Carlo simulation were employed to estimate the penetration of telavancin into ELF. Plasma and ELF pharmacokinetic data were obtained from 20 healthy volunteers, and the pharmacokinetic samples were assayed by a validated liquid chromatography-tandem mass spectrometry technique. Concentration-time profiles in plasma and ELF were simultaneously modeled using a three-compartment model with zero-order infusion and first-order elimination and transfer. The model parameters were identified in a population pharmacokinetic analysis (BigNPAG). Monte Carlo simulation of 9,999 subjects was performed to calculate the ELF/plasma penetration ratios by estimating the area under the concentration-time curve (AUC) for the drug in ELF (AUCELF) and for the free drug in plasma (free AUCplasma) from zero to infinity after a single dose. After the Bayesian step, the overall fits of the model to the data were good, and plots of predicted versus observed concentrations in plasma and ELF showed slopes and intercepts very close to the ideal values of 1.0 and 0.0, respectively. The median AUCELF/free AUCplasma penetration ratio was 0.73, and the 25th and 75th percentile value ratios were 0.43 and 1.24, respectively. In uninfected lung tissue, the median AUCELF is approximately 75% of the free AUCplasma.

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