Examination of Urinary Excretion of Unchanged Drug in Humans and Preclinical Animal Models: Increasing the Predictability of Poor Metabolism in Humans
| Autor: | Leslie Z. Benet, Chelsea Hosey-Cojocari, Connie M. Remsberg, Nadia O. Bamfo |
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| Rok vydání: | 2021 |
| Předmět: |
Drug
media_common.quotation_subject Drug Evaluation Preclinical Datasets as Topic Pharmaceutical Science Physiology Urine Article Animal data Dogs Urinary excretion Species Specificity Animals Humans Pharmacology (medical) Animal species media_common Pharmacology Drug disposition Chemistry Organic Chemistry Haplorhini Metabolism Rats Renal Elimination ROC Curve Molecular Medicine Biotechnology Clearance |
| Zdroj: | Pharm Res |
| ISSN: | 1573-904X 0724-8741 |
| DOI: | 10.1007/s11095-021-03076-y |
| Popis: | PURPOSE: A dataset of fraction excreted unchanged in the urine (fe) values was developed and used to evaluate the ability of preclinical animal species to predict high urinary excretion, and corresponding poor metabolism, in humans. METHODS: A literature review of fe values in rats, dogs, and monkeys was conducted for all Biopharmaceutics Drug Disposition Classification System (BDDCS) Class 3 and 4 drugs (n=352) and a set of Class 1 and 2 drugs (n=80). The final dataset consisted of 202 total fe values for 135 unique drugs. Human and animal data were compared through correlations, two-fold analysis, and binary classifications of high (fe ≥30%) versus low ( |
| Databáze: | OpenAIRE |
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