J Clin Pharmacol
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First published on October 23, 2008, doi:10.1177/0091270008325672

The Journal of Clinical Pharmacology 2009;49:50.

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©© 2008 American College of Clinical Pharmacology, Inc.
The Journal of Clinical Pharmacology, 10.1177/0091270008325672


Article

Use of an Exposure-Response Model to Aid Early Drug Development of an Oral Sphingosine 1-Phosphate Receptor Modulator

Shashank Rohatagi 1*, Hamim Zahir 1, James B. Moberly 1, Kenneth E. Truitt 1, Shin-ichi Inaba 2, Takaichi Shimozato 2, and T. J. Carrothers 3

1 Daiichi Sankyo Pharma Development
2 Daiichi Sankyo, Inc
3 Pharsight

* To whom correspondence should be addressed. E-mail: Srohatagi{at}dsus.com.


   Abstract
Pharmacokinetic (PK) and exposure-response modeling of a selective sphingosine 1-phosphate receptor-1 modulator (CS-0777) was conducted in an iterative process to guide early clinical development decisions. A model based on preclinical data from monkeys was extrapolated to humans to support a single ascending dose (SAD) study. The model was updated after each cohort, providing guidance on both maximal inhibition and time to recovery for lymphocyte counts. A 2-compartment PK model with first-order absorption and elimination was found to describe the monkey and human datasets. The relationship between lymphocyte counts and active metabolite (M-1) concentrations was modeled via an indirect response model, whereby M-1 inhibited the reentry of lymphocytes to the circulation. The indirect-response model based on SAD data had an Imax of approximately 85% and an IC50 of 0.24 ng/mL. Additionally, based on SAD data, similar models were developed for lymphocyte subsets, including CD4 cells. Subsequently, simulations were utilized to design a multiple ascending dose study with adaptive dosing regimens that would meet targeted pharmacodynamic (PD) response thresholds (eg, minimum 40% reduction in lymphocytes) while maintaining CD4 counts above a reasonable safety threshold. In conclusion, model-based development and use of adaptive designs for dose optimization can reduce the time and number of subjects needed in early clinical development.
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