Investigating association between behavior, corticosterone, heart rate, and blood pressure in rats using surrogate marker evaluation methodology.

Abstract

The drug development process involves identifying a compound and assessing its merit through rigorous pre-clinical and clinical trials. The pre-clinical stage is designed to assess the chemical properties of the new drug, as well as to determine the steps for synthesis and purification. In this stage of drug development, circumstances might dictate the use of alternative endpoints than the originally anticipated clinically relevant endpoint. In this regard, identification and evaluation of surrogate endpoints is of paramount importance. The validation methods make it possible to quantify degrees of association between the clinically relevant endpoint, also termed the true endpoint, and the alternative, surrogate endpoint. In this paper, we adapt the surrogate marker evaluation methodology of Alonso et al. (2003); (2006), developed for the case of two longitudinal outcomes, to the situation where either a longitudinal surrogate and cross sectional true endpoint is recorded, or vice versa. The work is motivated by a preclinical experiment conducted to assess association between corticosterone (CORT), heart rate, and blood pressure in rats, the data from which are then subjected to analysis. It was found that there is a weak relationship between CORT and behavior, and between CORT on the one hand and heart rate and blood pressure on the other hand, but a reasonably high degree of association was registered between heart rate and behavior.

DOI: 10.1080/10543400802527924

Cite this paper

@article{Tilahun2009InvestigatingAB, title={Investigating association between behavior, corticosterone, heart rate, and blood pressure in rats using surrogate marker evaluation methodology.}, author={Abel Tilahun and John T Maringwa and Helena Geys and Ariel Alonso and Leen Raeymaekers and Geert Molenberghs and Gerd Van Den Kieboom and Pim Drinkenburg and Luc Bijnens}, journal={Journal of biopharmaceutical statistics}, year={2009}, volume={19 1}, pages={133-49} }