Whole-body PBPK models were developed based on both the intestinal traditional model (TM) and segregated-flow model (SFM) to describe codeine sequential metabolism in man/rat. Model parameters were optimized with Scientist® and Simcyp® simulator to predict literature data after oral (p.o.) and intravenous (i.v.) codeine administration in man/rat. In vivo codeine PK studies on rats were performed to provide more data for simulation. The role of fm’ (fractional formation clearance of morphine from codeine) in model discrimination between the TM and SFM was investigated. A greater difference between the [AUC_M3G/AUC_Morphine]p.o. and [AUC_M3G/AUC_Morphine]i.v. ratio existed for the SFM, especially when the fm’ was low. It was found that our tailor-made PBPK models using Scientist® were superior to those from Simcyp® in describing codeine sequential metabolism. Residual sum of squares and AUC’s were calculated for each model, which demonstrated superiority of the SFM over TM in predicting codeine sequential metabolism in man/rat.

Whole-body PBPK models were developed based on both the intestinal traditional model (TM) and segregated-flow model (SFM) to describe codeine sequential metabolism in man/rat. Model parameters were optimized with Scientist® and Simcyp® simulator to predict literature data after oral (p.o.) and intravenous (i.v.) codeine administration in man/rat. In vivo codeine PK studies on rats were performed to provide more data for simulation. The role of fm’ (fractional formation clearance of morphine from codeine) in model discrimination between the TM and SFM was investigated. A greater difference between the [AUC_M3G/AUC_Morphine]p.o. and [AUC_M3G/AUC_Morphine]i.v. ratio existed for the SFM, especially when the fm’ was low. It was found that our tailor-made PBPK models using Scientist® were superior to those from Simcyp® in describing codeine sequential metabolism. Residual sum of squares and AUC’s were calculated for each model, which demonstrated superiority of the SFM over TM in predicting codeine sequential metabolism in man/rat.

No description available.

Dissolution testing and physiological based pharmacokinetic modeling are the essential methods during drug development. However, there is a lack of a sound approach and understanding of the parameter that controls dissolution and absorption of amorphous formulations. Robust dissolution conditions and setup and PBPK models that have a predictability of in vivo results will expedite and facilitate the drug development process. In this project, cefuroxime axetil, CA (Zinnat® as the amorphous formulations); itraconazole, ITR (Sporanox® as the amorphous formulation) and a compound undergoing clinical trial, Compound X, CX (CX tablet as the amorphous formulation) were chosen. The design of experiments for the in vitro dissolution studies using different apparatus, media and setup which closely simulate the physiological condition of humans (CA and ITR) and dogs (CX) were implemented. The dissolution of CA, ITR and CX formulations was successfully characterised using different dissolution apparatus, setting and media (compendial, biorelevant and modified media) to simulate the changes of pH, contents, hydrodynamic conditions (flow rate and rotation speed) in human gastrointestinal tract (fasted and fed state). The change of hydrodynamics combined with media change that corresponded to the physiological conditions created with USP apparatus 4 and biorelevant dissolution media were able to mimic the in vivo performance of the tested formulations. Furthermore, surface UV dissolution imaging methodology that could be used to understand the mechanism of CA and ITR (Active compounds and their amorphous formulations) dissolution were developed in this project. The UV images developed using surface UV imaging apparatus provided a visual representation and a means for the qualitative as well as quantitative assessment of the differences in dissolution rates and concentration for the model compounds used. In this project, validated PBPK models for fasted state (CA, ITR) and fed state (CA, ITR and CX) were developed. These models incorporated in vitro degradation, particle size distribution, in vitro solubility and dissolution data as well as in vivo human/ dog pharmacokinetics data. Similarly, the results showed that level A IVIVCs for all three model compounds were successfully established. Dissolution profiles with USP apparatus 4 combined with biorelevant media showed close correlation with the in vivo absorption profiles. Overall, this project successfully provides a comprehensive biorelevant methodology to develop PBPK models and IVIVCs for orally administered amorphous formulations.

Degradation product toxicity is a critical quality issue for a small group of useful drug products--e.g. lidocaine, isoniazid, chlorhexidine, gabapentin. In the traditional risk assessment approaches, a no-observed-adverse-effect level (NOAEL) derived from animal data is determined with the use of generic (and arbitrary) uncertainty factors to obtain an acceptable daily intake. The effects of compound-specific biological complexities and pharmacokinetics are typically not part of the risk calculations. The selection of uncertainty factors that account for interspecies or intraspecies difference concerning biokinetics and biodynamics has also generally failed to consider chemical-specific mechanism information or pharmacokinetics data. The use of combining in-vitro biopharmaceutical characterization methods and physiologically-based pharmacokinetic modeling has undergone extensive study and validation for predicting clinical drug blood level time profiles. The rationale for the proposed research is that a PBPK modeling utilizing rat to human scaling for target tissue toxicity in combination with the Monte Carlo method for estimating human target exposure distributions provides a rational basis for assessing drug stability safety issues for drug substances that potentially degrade to toxic compounds. PBPK models for rats and humans were developed to simulate drug exposure time profiles after oral administration of model compounds including aniline, p-chloroaniline, 2,6-dimethylaniline, o-toluidine and p-aminophenol. The PBPK models were parameterized using a combination of literature values, computational models and standard in vitro experiments. Microsomal and hepatocyte metabolism studies were used to estimate the metabolic constants, and ultrafiltration was used to measure protein binding. Intestinal permeability was predicted using a set of related compound data to correlate measured Caco-2 permeability with molecular descriptors by multivariate regression. Sensitivity analyses were conducted to evaluate the impact of PBPK model parameters on plasma level predictions. To evaluate patient population effects on exposure profiles, the PBPK model parameters were varied in meaningful ways using Monte Carlo methods. Based on population PBPK models, distributions of target tissue exposure in rats and humans were simulated and compared to derive human safe dose. As results, rat PBPK model-predicted aniline concentration time profiles were in reasonable agreement with published profiles. Distributions of target tissue exposure in rats and humans were generated and compared based on a criterion. A human reference dose was then selected at a value of 1% criteria. This approach was compared to traditional risk assessment calculations. In conclusion, the PBPK modeling approach resulted in drug degradation product risk specifications that were less stringent than those estimated by conventional risk assessment approach. The PBPK modeling approach provides a rational basis for drug instability risk assessment by focusing on target tissue exposure and leveraging physiological, biochemical, biophysical knowledge of compounds and species.

The bioavailability of a drug can be described as the fraction of an orally administered dose that reaches the systemic circulation and is often limited by first-pass metabolism in the gut and the liver. It is important to have knowledge about these processes since the systemic blood drug concentration is tightly connected to the effect of the drug. The general aim of this project was to quantitatively examine the role of the intestine in relation to the liver in first-pass metabolism of orally administered drugs. The first-pass metabolism of verapamil and raloxifene was investigated in detail with in vivo, in vitro and simulation studies, using the pig as an experimental model. The intestine contributed to the same extent as the liver to first-pass metabolism of R/S-verapamil in vivo in pigs. The S-isomer of verapamil was found in lower plasma concentrations compared to the R-isomer after oral dosing. The in vitro metabolism of verapamil in pig and human liver showed interspecies similarity and indicated equal intrinsic clearance for R- and S-verapamil. Through physiologically based pharmacokinetic modeling the stereoselectivity was explained by a combination of several processes, including enantioselective plasma protein binding, blood-to-plasma partition, and gut and liver tissue distribution. For raloxifene the intestine was the dominating organ in first-pass glucuronidation in vivo in pigs. Furthermore, the raloxifene concentration entering the intestine or the dose administered in the gut did not influence the plasma PK of raloxifene and indicated that the intestinal metabolism was not saturable with clinical relevant doses. For both verapamil and raloxifene, a time-dependent hepatic metabolism was noted with major consequences to the pharmacokinetic of the drugs. This project has pointed out the importance of intestinal metabolism in the overall first-pass extraction of drugs and indicates that intestinal metabolism should be considered and evaluated early in drug development.

Ertapenem is an antibiotic commonly used to treat a broad spectrum of infections and is part of a broader class of antibiotics called carbapenems. Unlike other carbapenems, ertapenem has a longer half-life and thus only has to be administered once a day. Previously, a physiologically-based pharmacokinetic (PBPK) model was developed to investigate the uptake, distribution, and elimination of ertapenem following a single one gram dose in normal height, normal weight males. Due to the absorption properties of ertapenem, the amount of fat in the body can influence how the drug binds, how quickly the drug passes through the body, and thus how effective the drug might be. Thus, we have revised the model so that it is applicable to males and females of differing body mass index (BMI). Simulations were performed to consider the distribution of the antibiotic in males and females with varying body mass indexes. These results could help to determine if there is a need for altered dosing regimens in the future.

Ertapenem is an antibiotic commonly used to treat a broad spectrum of infections, which is part of a broader class of antibiotics called carbapenem. Unlike other carbapenems, ertapenem has a longer half-life and thus only has to be administered once a day. A physiologically-based pharmacokinetic (PBPK) model was developed to investigate the uptake, distribution, and elimination of ertapenem following a single one gram dose. PBPK modeling incorporates known physiological parameters such as body weight, organ volumes, and blood ow rates in particular tissues. Furthermore, ertapenem is highly bound in human blood plasma; therefore, nonlinear binding is incorporated in the model since only the free portion of the drug can saturate tissues and, hence, is the only portion of the drug considered to be medicinally effective. Parameters in the model were estimated using a least squares inverse problem formulation with published data for blood concentrations of ertapenem for normal height, normal weight males. Finally, an uncertainty analysis of the parameter estimation and model predictions is presented.

Existing therapeutic options for the alleviation of nicotine addiction have been largely ineffective at stemming the tide of tobacco use. Immunopharmacotherapy, or vaccination, is a promising, alternate therapy that is currently being explored. Results from previous studies indicate that nicotine vaccines (NVs) are effective in subjects that achieve high drug-specific antibody titers, though overall efficacy has not been observed. Consequently, improvement of these vaccines is necessary before they can achieve approval for human use. In this report, three separate approaches towards NV potentiation are explored. The first approach applied physiologically-based pharmacokinetic (PBPK) modeling to better assess NV potential. Rat and human physiological and pharmacological parameters were obtained from literature and used to construct compartmentalized models for nicotine and cotinine distribution. These models were then calibrated and validated using data obtained from literature. The final models verified the therapeutic potential of the NV concept, identified four key parameters associated with vaccine success, and established correlates for success that could be used to evaluate future NVs prior to clinical trials. In the second approach, conjugate NV scaffoldings were engineered by using wild-type (WT) and chimeric human papilloma (HPV) 16 L1 protein virus-like particles (VLPs). The chimeric protein was created by removing the last 34 C-terminal residues from the WT protein and then incorporating a multi-epitope insert that could universally target major histocompatibility complex (MHC) class II molecules. The proteins were subsequently expressed in E. coli and purified using a multi-step process. Comparisons between the separation outcomes revealed that the insert was able to modulate individual process outcomes and improve overall yield without inhibiting VLP assembly. In the third approach, commonly used carrier proteins were computationally mined for their MHC class II epitope content using human leukocyte antigen (HLA) population frequency data and MHC epitope prediction software. The most immunogenic epitopes were concatenated with interspacing cathepsin cleavage sequences and the resulting protein was re-evaluated using the earlier methods. This work represents the first ever in silico design of chimeric antigens that could potentially target all of the major HLA DQ and HLA DR allotypes found in humans. / Doctor of Philosophy / Existing treatment options for addressing nicotine addiction have been largely ineffective at preventing tobacco use. Vaccination, on the other hand, is a promising, alternate treatment option that is currently being explored. Previous studies have shown that nicotine vaccines (NVs) are effective in the subjects that respond well to the vaccine. Effectiveness in the majority of vaccine recipients, however, has not been observed. Consequently, improvement of these vaccines is necessary before they can be used in humans. In this report, three separate approaches for improving NV effectiveness are explored. The first approach applied physiologically-based pharmacokinetic (PBPK) modeling to better assess NV potential. Parameters were obtained from literature and used to construct models that could predict NV effectiveness in rats and humans. These models were then calibrated and validated using data obtained from literature. The final models verified that NVs could work if certain conditions were met, identified four key parameters associated with vaccine success, and allowed for estimation of NV efficacy prior to their evaluation in humans. In the second approach, protein carriers for conjugate NVs were constructed using the human papilloma (HPV) 16 L1 protein. This protein is known for its ability to form virus-like particles (VLPs). Both a modified and an unmodified (wild-type) protein were constructed. The modified HPV 16 L1 protein was created by replacing the last 34 C-terminal amino acids with a polypeptide insert that could enhance the immunogenicity of the vaccine. The modified and unmodified proteins were then expressed in E. coli and purified. Results indicated that the insert was able to modulate individual process outcomes and improve overall process yield without preventing VLP assembly. In the third approach, commonly used carrier proteins were computationally mined for their MHC class II epitope content using human gene frequency data and MHC epitope prediction software. The epitopes that were predicted to be the most immunogenic were linked together with interspacing protease recognition sequences and the immunogenicity of the resulting protein was re-evaluated using the prediction software. This work represents the first computational design of antigens that could potentially allow a vaccine to be effective in a large portion of human population regardless of the genetic variability.

No description available.