Prediction of human pharmacokinetics - renal metabolic and excretion clearance.
The kidneys have the capability to both excrete and metabolise drugs. An understanding of mechanisms that determine these processes is required for the prediction of pharmacokinetics, exposures, doses and interactions of candidate drugs. This is particularly important for compounds predicted to have low or negligible non-renal clearance (CL). Clinically significant interactions in drug transport occur mostly in the kidneys. The main objective was to evaluate methods for prediction of excretion and metabolic renal CL (CL(R)) in humans. CL(R) is difficult to predict because of the involvement of bi-directional passive and active tubular transport, differences in uptake capacity, pH and residence time on luminal and blood sides of tubular cells, and limited knowledge about regional tubular residence time, permeability (P(e)) and metabolic capacity. Allometry provides poor predictions of excretion CL(R) because of species differences in unbound fraction, urine pH and active transport. The correlation between fraction excreted unchanged in urine (f(e)) in humans and animals is also poor, except for compounds with high passive P(e) (extensive/complete tubular reabsorption; zero/negligible f(e)) and/or high non-renal CL. Physiologically based in-vitro/in-vivo methods could potentially be useful for predicting CL(R). Filtration could easily be predicted. Prediction of tubular secretion CL requires an in-vitro transport model and establishment of an in-vitro/in-vivo relationship, and does not appear to have been attempted. The relationship between passive P(e) and tubular fraction reabsorbed (f(reabs)) for compounds with and without apparent secretion has recently been established and useful equations and limits for prediction were developed. The suggestion that reabsorption has a lipophilicity cut-off does not seem to hold. Instead, compounds with passive P(e) that is less than or equal to that of atenolol are expected to have negligible passive f(reabs). Compounds with passive P(e) that is equal to or higher than that of carbamazepine are expected to have complete f(reabs). For compounds with intermediate P(e) the relationship is irregular and f(reabs) is difficult to predict. Tubular cells are comparably impermeable (for passive diffusion), and show regional differences in enzymatic and transporter activities. This limits the usefulness of microsome data and makes microsome-based predictions of metabolic CL(R) questionable. Renal concentrations and activities of CYP450s are comparably low, suggesting that CYP450 substrates have negligible metabolic CL(R). The metabolic CL(R) of high-P(e) UDP-glucuronyltransferase substrates could contribute to the total CL.
Fagerholm
Urban
U
Clinical Pharmacology, AstraZeneca R&D Södertälje, S-151 85 Södertälje, Sweden. urban.fagerholdm@astrazeneca.com
D000818:Animals; D004353:Drug Evaluation, Preclinical / Q000379:methods; D006801:Humans; D007668:Kidney / Q000378:metabolism; D008657:Metabolic Clearance Rate; D008954:Models, Biological; D004364:Pharmaceutical Preparations / Q000378:metabolism*; D010599:Pharmacokinetics; D013045:Species Specificity
D004364:Pharmaceutical Preparations