Pharmacokinetic-pharmacodynamic modeling of apratastat: a population-based approach.

Apratastat is an orally active, potent, and reversible dual inhibitor of tumor necrosis factor-α converting enzyme (TACE) and matrix metalloproteinases (MMPs). This study characterizes the pharmacodynamic (PD) effect of apratastat following oral administration on tumor necrosis factor-alpha (TNF-α) release. Data were obtained from 3 clinical studies carried out in healthy subjects. Apratastat was administered orally in these studies as single doses or multiple doses (twice daily). The inhibition of TNF-α release by apratastat was investigated in studies of in vitro, ex vivo, and in vivo. Inhibitory E(max) models were used to characterize the inhibition of TNF-α release in both in vitro and ex vivo studies. Apratastat inhibited TNF-α release with a population mean IC(50) of 144 ng/mL in vitro and of 81.7 ng/mL ex vivo, respectively. The relationship between TNF-α and apratastat plasma concentration in the endotoxin-challenged study in healthy subjects was well characterized by a mechanism-based PD population model with IC(50) of 126 ng/mL. Apratastat can potently inhibit the release of TNF-α in vitro, ex vivo, and in vivo. Even though the dosage provided adequate exposure to inhibit TNF-α release, apratastat was not efficacious in rheumatoid arthritis (RA). This inconsistency between TNF-α inhibition and the clinical response requires further investigation.

Fit-for-purpose method development and validation for successful biomarker measurement.

Despite major advances in modern drug discovery and development, the number of new drug approvals has not kept pace with the increased cost of their development. Increasingly, innovative uses of biomarkers are employed in an attempt to speed new drugs to market. Still, widespread adoption of biomarkers is impeded by limited experience interpreting biomarker data and an unclear regulatory climate. Key differences preclude the direct application of existing validation paradigms for drug analysis to biomarker research. Following the AAPS 2003 Biomarker Workshop (J. W. Lee, R. S. Weiner, J. M. Sailstad, et al. Method validation and measurement of biomarkers in nonclinical and clinical samples in drug development. A conference report. Pharm Res 22:499-511, 2005), these and other critical issues were addressed. A practical, iterative, "fit-for-purpose" approach to biomarker method development and validation is proposed, keeping in mind the intended use of the data and the attendant regulatory requirements associated with that use. Sample analysis within this context of fit-for-purpose method development and validation are well suited for successful biomarker implementation, allowing increased use of biomarkers in drug development.