• Raymond A Dionne, Linda Bartoshuk, Jeffrey Mogil, and James Witter.
• NIDCR, National Institutes of Health, 10 Center Drive, Room 1N-103, Bethesda, MD 20892-1197, USA. raymond.dionne@nih.gov
• Trends Pharmacol. Sci. 2005 Mar 1; 26 (3): 125-30.

AbstractThe outcomes of clinical trials are based on the mean responses of large numbers of subjects but fail to address inter-individual differences. The molecular mechanisms that underlie pain vary among individuals over time and among different types of pain to produce wide inter-individual variations in pain perception and response. Gender, ethnicity, temperament and genetic factors also contribute to individual variation in pain sensitivity and responses to analgesics. Pain measurement scales can be used differently across individuals based on the past pain experiences of individuals. We propose that individual responder analyses could be used in clinical trials to better detect analgesic activity across patient groups and within sub-groups, and to identify molecular-genetic mechanisms that contribute to individual variation.

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