Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Bioavailability simulation

Chitchumroonchokchai, C., Schwartz, S.J., and Failla, M.L., Assessment of lutein bioavailability from meals and a supplement using simulated digestion and Caco-2 human intestinal cells, J. Nutr, 134, 2280, 2004. [Pg.171]

Ruby MV, Davis A, Kempton JH, et al. 1992. Lead bioavailability Dissolution kinetics under simulated gastric conditions. Environ Sci Technol 26 1242-1248. [Pg.570]

The original proposal of the approach, supported by a Monte Carlo simulation study [36], has been further validated with both pre-clinical [38, 39] and clinical studies [40]. It has been shown to be robust and accurate, and is not highly dependent on the models used to fit the data. The method can give poor estimates of absorption or bioavailability in two sets of circumstances (i) when the compound shows nonlinear pharmacokinetics, which may happen when the plasma protein binding is nonlinear, or when the compound has cardiovascular activity that changes blood flow in a concentration-dependent manner or (ii) when the rate of absorption is slow, and hence flip-flop kinetics are observed, i.e., when the apparent terminal half-life is governed by the rate of drug input. [Pg.143]

Karlsson, M. O., Bredberg, U., Bioavailability estimation by semi-simultaneous drug administration a Monte Carlo simulation study,... [Pg.152]

In addition to the mechanistic simulation of absorptive and secretive saturable carrier-mediated transport, we have developed a model of saturable metabolism for the gut and liver that simulates nonlinear responses in drug bioavailability and pharmacokinetics [19]. Hepatic extraction is modeled using a modified venous equilibrium model that is applicable under transient and nonlinear conditions. For drugs undergoing gut metabolism by the same enzymes responsible for liver metabolism (e.g., CYPs 3A4 and 2D6), gut metabolism kinetic parameters are scaled from liver metabolism parameters by scaling Vmax by the ratios of the amounts of metabolizing enzymes in each of the intestinal enterocyte compart-... [Pg.436]

Application of ultra-high-throughput in silico estimation of biopharmaceutical properties to the generation of rule-based computational alerts has the potential to improve compound selection to those drug candidates that are likely to prove less troublesome in their development. The extension of purely in silico methods to the realm of mechanistic simulation further enhances our ability to predict the impact of physiological and biochemical process on drug absorption and bioavailability. [Pg.439]

A special case in dissolution-limited bioavailability occurs when the assumption of sink condition in vivo fails that is, the drug concentration in the intestine is dose to the saturation solubility. Class IV compounds, according to BCS, are most prone to this situation due to the combination of low solubility and low permeability, although the same could also happen for class II compounds, depending primarily on the ratio between dose and solubility. Non-sink conditions in vivo lead to less than proportional increases of bioavailability for increased doses. This is illustrated in Fig. 21.8, where the fraction of drug absorbed has been simulated by use of an compartmental absorption and intestinal transit model [35] for different doses and for different permeabilities of a low-solubility, aprotic compound. [Pg.506]

The second situation when IVIVC is not likely for class II drugs is where the absorption is limited by the saturation solubility in the gastrointestinal tract rather than the dissolution rate, as discussed in more detail above. In this situation, the drug concentration in the gastrointestinal tract will be close to the saturation solubility, and changes of the dissolution rate will not affect the plasma concentrationtime profile and in vivo bioavailability. Standard in vitro dissolution tests are carried out under sink conditions , i.e., at concentrations well below the saturation solubility. Thus, only effects related to dissolution rate can be predicted in vitro. If more physiologically relevant dissolution media are used, which do not necessarily provide sink conditions , the possibility for IVIVC could be improved, as has been indicated by the results of recent studies using simulated intestinal medium [76],... [Pg.523]

For highly permeable, poorly soluble drugs given in lower doses, the dissolution rate rather than the saturation solubility is the limiting factor. An increase in dissolution rate due to in vivo solubilization mediated by food intake could theoretically be obtained, but this situation is not always found in vivo. For example, food does not affect the rate and extent of bioavailability for candesartan cilexitil, a very poorly soluble compound [78], An in vitro dissolution and solubility study of this compound in simulated intestinal media provided a potential explanation it was revealed that the solubility was increased as a function of bile concentration as expected, whereas the dissolution rate was not increased by the higher bile concentrations being representative for the fed state (see Fig. 21.14). Thus, although... [Pg.524]

Fig. 15 Effect of phenytoin (PHT) particle size on (a) dissolution in simulated gastric fluid, pH 1.2, 37°C and (b) bioavailability in human volunteers after oral administration of 300 mg PHT. Dark circles lot with particle size range 74-350 /u.m open circles lot with particle size range 177-350 /am. (From Ref. 64.)... Fig. 15 Effect of phenytoin (PHT) particle size on (a) dissolution in simulated gastric fluid, pH 1.2, 37°C and (b) bioavailability in human volunteers after oral administration of 300 mg PHT. Dark circles lot with particle size range 74-350 /u.m open circles lot with particle size range 177-350 /am. (From Ref. 64.)...
Kalantzi L, Ftirst T, Abrahamsson B, Goumas K, Kalioras V, Dressman J, Reppas C. Characterization of the human upper gastrointestinal contents under conditions simulating bioavailability studies in the fasting and fed states. Proceedings of the AAPS Annual Meeting, Salt Lake City, UT, 2003. [Pg.226]

An ideal in vitro model for the characterization of aerosol formulations would incorporate cell types from various regions of the lung (tracheal, bronchial, and alveolar) and would facilitate simulation of deposition mechanisms by impaction, sedimentation, and diffusion of a high-metered singlebolus inhalation. In the future, such systems may reduce the need for animal studies and may offer to correlate in a predictive way the results from such in vitro tests to clinical bioavailability data after pulmonary drug delivery in vivo. [Pg.450]

Faced with difficulties in obtaining supplies directly from a rival manufacturer, the sponsoring company may decide to elect for a doubledummy technique or to mask the identity of the marketed comparator and to simulate the appearance of the new medicine. In doing the latter, it must be realised that the absorption characteristics of the comparator might be changed (for instance, by a shellac coating) and it is essential that the bioavailability of the modified and the original formulation is checked beforehand. [Pg.250]

In this project, compound A from a potential lead series was a neutral compound of MW 314 with low aqueous solubility (Systemic clearance, volume and AUC following a 0.5mg/kg intravenous dose to rats were well predicted (within twofold) from scaled microsomal clearance and in silica prediction of pKa, logP and unbound fraction in plasma. Figure 10.3a shows the predicted oral profile compared to the observed data from two rats dosed orally at 2mg/kg. The additional inputs for the oral prediction were the Caco-2 permeability and measured human fed-state simulated intestinal fluid (FeSSIF, 92(tg/mL). The oral pharmacokinetic parameters Tmax. Cmax. AUC and bioavailability were well predicted. Simulation of higher doses of compound A predicted absorption-limited... [Pg.229]


See other pages where Bioavailability simulation is mentioned: [Pg.243]    [Pg.485]    [Pg.210]    [Pg.186]    [Pg.364]    [Pg.416]    [Pg.252]    [Pg.123]    [Pg.194]    [Pg.420]    [Pg.421]    [Pg.421]    [Pg.422]    [Pg.422]    [Pg.424]    [Pg.426]    [Pg.428]    [Pg.430]    [Pg.432]    [Pg.434]    [Pg.436]    [Pg.436]    [Pg.437]    [Pg.438]    [Pg.440]    [Pg.442]    [Pg.593]    [Pg.593]    [Pg.73]    [Pg.20]    [Pg.34]    [Pg.128]    [Pg.211]    [Pg.435]    [Pg.450]    [Pg.228]    [Pg.231]   
See also in sourсe #XX -- [ Pg.454 , Pg.481 ]




SEARCH



Simulation, estimating bioavailability using

© 2024 chempedia.info