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Xenobiotica
the fate of foreign compounds in biological systems
Volume 43, 2013 - Issue 7
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Clinical Pharmacokinetics and Metabolism

Activity-based exposure comparisons among humans and nonclinical safety testing species in an extensively metabolized drug candidate

, , , , , , , & show all
Pages 617-627 | Received 13 Oct 2012, Accepted 05 Nov 2012, Published online: 17 Dec 2012
 

Abstract

1. Extensive metabolism of a drug candidate can complicate the interpretation of comparative safety and efficacy data from humans and preclinical species.

2. The 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) inhibitor, AMG 221 underwent extensive oxidative metabolism to structurally similar but differentially active primary and secondary metabolites. Relative potency data from synthetic metabolites enabled a stepwise quantitative assessment of AMG 221 in vivo metabolism that compared relative exposure to metabolites in plasma across species and discerned which active metabolites to monitor in preclinical and clinical safety and efficacy studies.

3. Pooled plasma samples from AMG 221-dosed human subjects were profiled using high-resolution liquid chromatography-mass spectrometry (LC-MS) with a mass-defect-filter. The most abundant peak, M1 accounted for 47%–59% of peaks followed by AMG 221 at 27%–40%. Other metabolites were each less than 7%. Activity-normalized data indicated both M1 and AMG 221 should be monitored to assist pharmacokinetic–pharmacodynamic (PK-PD) modeling.

4. Rat and dog area under the plasma concentration time curve (AUC) exposures to M1 at preclinical no observable adverse effect level (NOAEL) doses were 2–42-fold higher than human, indicating M1 was not a disproportionate metabolite, as defined by International Committee on Harmonization (ICH) M3(R2) guidance.

5. Development decisions regarding active metabolite monitoring and potentially disproportionate metabolites in extensively metabolized drug candidates are enabled by metabolite synthesis and liquid chromatography high-resolution mass spectrometry (LC-HRMS)-based assessment of potency-normalized plasma metabolite AUCs.

Acknowledgements

We thank John Laubacher and Tian Wu for providing formulated drug dosing solutions and Ronya Shatila, Marcus Soto for conducting the in vivo animal studies. We are also grateful to Chester Yuan, Aiwen Li and David St. Jean for synthesizing the metabolite standards and Chris Fotsch for reviewing the manuscript.

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