Preclinical Pharmacological Approaches in Drug Discovery for Chronic Pain

Adv Pharmacol. 2016:75:303-23. doi: 10.1016/bs.apha.2015.12.002. Epub 2016 Jan 21.

Abstract

In recent years, animal behavioral models, particularly those used in pain research, have been increasingly scrutinized and criticized for their role in the poor translation of novel pharmacotherapies for chronic pain. This chapter addresses the use of animal models of pain used in drug discovery research. It highlights how, when, and why animal models of pain are used as one of the many experimental tools used to gain better understanding of target mechanisms and rank-order compounds in the iterative process of establishing structure-activity relationship. Together, these models help create an "analgesic signature" for a compound and inform the indications most likely to yield success in clinical trials. In addition, the authors discuss some often underappreciated aspects of currently used (traditional) animal models of pain, including simply applying basic pharmacological principles to study design and data interpretation as well as consideration of efficacy alongside side effect measures as part of the overall conclusion of efficacy. This is provided to add perspective regarding current efforts to develop new models and endpoints both in rodents and in larger animal species as well as assess cognitive and/or affective aspects of pain. Finally, the authors suggest ways in which efficacy evaluation in animal models of pain, whether traditional or new, might better align with clinical standards of analysis, citing examples where applying effect size and number needed to treat estimations to animal model data suggest that the efficacy bar often may be set too low preclinically to allow successful translation to the clinical setting.

Keywords: Analgesic drug development; Behavioral pharmacology; Predictive validity; Translational models.

Publication types

  • Review

MeSH terms

  • Animals
  • Behavior, Animal
  • Chronic Pain / drug therapy*
  • Disease Models, Animal
  • Drug Discovery*
  • Humans