What is it about?

The publication deals with how one can utilize pharmacological response-time series in order to better understand what quantitative properties are governing the onset, intensity and duration of the pharmacological effect when plasma or tissue exposure of drugs are lacking

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Why is it important?

Traditionally pharmacological data are presented as dose-response graphs where a single response time measure or the total area under the response-time curve is plotted agaimst the administered dose. By modelling the complete response-time course(s) as such one utilizes hidden information about the causes of a pharmacological effect in a more efficient way. By modelling the response-time courses one gain knowledge and the model becomes the repository of all data and not just a transformation.


This approach has a tremendous potential in that drug data from several studies may be pooled and analyzed jointly when proper exposure data are lacking or sparse. More recently the DRT-approach has gained momentum in both Clinical and pre-Clinical studies of oncology medicines.

Professor Johan Gabrielsson
Sveriges lantbruksuniversitet

Read the Original

This page is a summary of: Dose-Response-Time Data Analysis: An Underexploited Trinity, Pharmacological Reviews, December 2018, American Society for Pharmacology & Experimental Therapeutics (ASPET),
DOI: 10.1124/pr.118.015750.
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