Mechanistic, translational, quantitative pain assessment tools in profiling of pain patients and for development of new analgesic compounds

被引:11
作者
Arendt-Nielsen, Lars [1 ]
Curatolo, Michele [2 ]
机构
[1] Aalborg Univ, Fac Med, Dept Hlth Sci & Technol, Ctr Sensory Motor Interact SMI, Aalborg, Denmark
[2] Univ Washington, Dept Anaesthesiol & Pain Med, Seattle, WA 98195 USA
关键词
Assessment of pain; Volunteers Chronic pain; Drug profiling; Proof-of-concept; Drug development;
D O I
10.1016/j.sjpain.2013.07.026
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Mechanistic, translational, human experimental pain assessment technologies ( pain biomarkers) can be used for: (1) profiling the responsiveness of various pain mechanisms and pathways in healthy volunteers and pain patients, and (2) profiling the effect of new or existing analgesic drugs or pain management procedures. Translational models, which may link mechanisms in animals to humans, are important to understand pain mechanisms involved in pain patients and as tools for drug development. This is urgently needed as many drugs which are effective in animal models fail to be efficient in patients as neither the mechanisms involved in patients nor the drugs' mechanistic actions are known. Aim: The aim of the present topical review is to provide the basis for how to use mechanistic human experimental pain assessment tools (pain biomarkers) in the development of new analgesics and to characterise and diagnose pain patients. The future aim will be to develop such approaches into individualised pain management regimes. Method: Experimental pain biomarkers can tease out mechanistically which pain pathways and mechanisms are modulated in a given patient, and how a given compound modulates them. In addition, pain biomarkers may be used to assess pain from different structures ( skin, muscle and viscera) and provoke semi-pathophysiological conditions (e.g. hyperalgesia, allodynia and after-sensation) in healthy volunteers using surrogate pain models. Results: With this multi-modal, multi-tissue, multi-mechanism pain assessment regime approach, new opportunities have emerged for profiling pain patients and optimising drug development. In this context these technologies may help to validate targets (proof-of-concept), provide dose-response relationships, predicting which patient population/characteristics will respond to a given treatment (individualised pain management), and hence provide better understanding of the underlying cause for responders versus non-responders to a given treatment. Conclusion: In recent years, pain biomarkers have been substantially developed to have now a role to play in early drug development, providing valuable mechanistic understanding of the drug action and used to characterise/profile pain patients. In drug development phase I safety volunteer studies, pain biomarkers can provide indication of efficacy and later if feasible be included in clinical phase II, III, and IV studies to substantiate mode-of-action. (C) 2013 Scandinavian Association for the Study of Pain. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:226 / 230
页数:5
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