The use of a battery of evoked pain models in early phase drug development

Abstract

Drug development scientists are on a search for suitable

biomarkers that can assist in predicting the therapeutic potential of

analgesic medication and, therefore, it’s efficacy in the target population.

This is particularly appropriate for human pain where models can assist to bridge the preclinical and clinical findings. These models can provide valuable information about the mechanism of action of existing and new drugs. However, a single human pain model cannot be used exclusively to screen the pharmacological mechanism of a compound as it inherently only tests a single mechanism. In this thesis the performance of a battery of pain models (PainCart) was investigated. Three main topics were investigated. (1) The validation of the PainCart was described in which the effects of different classes of analgesics on this battery of pain models were explored. (2) The PainCart was used in different chronic pain populations. (3) The performance of the battery during the development of new analgesic compounds was studied. The battery of pain models can act as biomarker to assess the effect of analgesics on pain. It can be used to benchmark analgesic properties of new drugs against established analgesics in early phase clinical studies.