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Metabolism Data (metabolism + data)

Distribution by Scientific Domains
Medical Sciences100%

Selected Abstracts

Prediction of human pharmacokinetics,gut-wall metabolism

JOURNAL OF PHARMACY AND PHARMACOLOGY: AN INTERNATI ONAL JOURNAL OF PHARMACEUTICAL SCIENCE, Issue 10 2007
Urban Fagerholm
Intestinal mucosal cells operate with different metabolic and transport activity, and not all of them are involved in drug absorption and metabolism. The fraction of these cells involved is dependent on the absorption characteristics of compounds and is difficult to predict (it is probably small). The cells also appear comparably impermeable. This shows a limited applicability of microsome intrinsic clearance (CLint)-data for prediction of gut-wall metabolism, and the difficulty to predict the gut-wall CL (CLGW) and extraction ratio (EGW). The objectives of this review were to evaluate determinants and methods for prediction of first-pass and systemic EGW and CLGW in man, and if required and possible, develop new simple prediction methodology. Animal gut-wall metabolism data do not appear reliable for scaling to man. In general, the systemic CLGW is low compared with the hepatic CL. For a moderately extracted CYP3A4-substrate with high permeability, midazolam, the gut-wall/hepatic CL-ratio is only 1/35. This suggests (as a general rule) that systemic CLGW can be neglected when predicting the total CL. First-pass EGW could be of importance, especially for substrates of CYP3A4 and conjugating enzymes. For several reasons, including those presented above and that blood flow based models are not applicable in the absorptive direction, it seems poorly predicted with available methodology. Prediction errors are large (several-fold on average; maximum-15-fold). A new simple first-pass EGW -prediction method that compensates for regional and local differences in absorption and metabolic activity has been developed. It has been based on human cell in-vitro CLint and fractional absorption from the small intestine for reference (including verapamil) and test substances, and in-vivo first-pass EGW -data for reference substances. First-pass EGW -values for CYP3A4-substrates with various degrees of gastrointestinal uptake and CLint and a CYP2D6-substrate were well-predicted (negligible errors). More high quality in-vitro CLint - and in-vivo EGW -data are required for further validation of the method. [source]

The prediction of human response to ONO-4641, a sphingosine 1-phosphate receptor modulator, from preclinical data based on pharmacokinetic,pharmacodynamic modeling

BIOPHARMACEUTICS AND DRUG DISPOSITION, Issue 7 2010
Tomoya Ohno
Abstract The pharmacokinetic (PK) and pharmacodynamic (PD) parameters of ONO-4641 in humans were estimated using preclinical data in order to provide essential information to better design future clinical studies. The characterization of PK/PD was measured in terms of decreased lymphocyte counts in blood after administration of ONO-4641, a sphingosine 1-phosphate receptor modulator. Using a two-compartment model, human PK parameters were estimated from preclinical PK data of cynomolgus monkey and in vitro human metabolism data. To estimate human PD parameters, the relationship between lymphocyte counts and plasma concentrations of ONO-4641 in cynomolgus monkeys was determined. The relationship between lymphocyte counts and plasma concentrations of ONO-4641 was described by an indirect-response model. The indirect-response model had an Imax value of 0.828 and an IC50 value of 1.29,ng/ml based on the cynomolgus monkey data. These parameters were used to represent human PD parameters for the simulation of lymphocyte counts. Other human PD parameters such as input and output rate constants for lymphocytes were obtained from the literature. Based on these estimated human PK and PD parameters, human lymphocyte counts after administration of ONO-4641 were simulated. In conclusion, the simulation of human lymphocyte counts based on preclinical data led to the acquisition of useful information for designing future clinical studies. Copyright © 2010 John Wiley & Sons, Ltd. [source]

Metabolites in safety testing: metabolite identification strategies in discovery and development

BIOPHARMACEUTICS AND DRUG DISPOSITION, Issue 4 2009
Angus N. R. Nedderman
Abstract The publication of the FDA MIST guidelines in 2008, together with the acknowledged importance of metabolism data for the progression of novel compounds through drug discovery and drug development, has resulted in a renewed focus on the metabolite identification strategies utilised throughout the pharmaceutical industry. With the plethora of existing and emerging technologies available to the metabolite identification scientist, it is argued that increased diligence should be applied to metabolism studies in the early stages of both drug discovery and drug development, in order to more routinely impact chemical design and to comply with the concepts of the MIST guidance without re-positioning the definitive radiolabelled studies from there typical place in late development. Furthermore, these strategic elements should be augmented by a broad and thorough understanding of the impact of the derived metabolism data, most notably considerations of absolute abundance, structure and pharmacological activity, such that they can be put into proper context as part of a holistic safety strategy. The combination of these approaches should ensure a metabolite identification strategy that successfully applies the principles of the MIST guidance throughout the discovery/development continuum and thereby provides appropriate confidence in support of human safety. Copyright © 2009 John Wiley & Sons, Ltd. [source]