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Cluster Analysis
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Drug Response Profiles to Experimental Pain Are Opioid and Pain Modality Specific
Drug Response Profiles to Experimental Pain Are Opioid and Pain Modality Specific,10.1016/j.jpain.2010.07.011,Journal of Pain,Lindsay L. Kindler,Kimbe
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Drug Response Profiles to Experimental Pain Are Opioid and Pain Modality Specific
(
Citations: 2
)
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Lindsay L. Kindler
,
Kimberly T. Sibille
,
Toni L. Glover
,
Roland Staud
,
Joseph L. Riley
,
Roger B. Fillingim
Given our limited ability to predict analgesic efficacy, further research is needed to understand factors influencing analgesic response patterns. The aim of this study was to better understand the relationship between morphine and butorphanol analgesic efficacy tested against multiple pain modalities within the same individuals. Participants included healthy men (n = 72) and women (n = 67) who underwent thermal, pressure, and ischemic experimental pain testing before and after the double-blind administration of morphine and butorphanol during separate testing sessions.
Factor analysis
revealed 6 factors with analgesic effects grouped primarily by pain modality and specific to either morphine or butorphanol.
Hierarchical cluster analysis
of individual factor scores led to 4 distinct drug response profiles. Three groups displayed exceptional analgesic efficacy produced by 1 type of opioid on 1 pain stimulus modality, whereas the fourth drug response profile was characterized by average analgesic efficacy across all pain modalities for both opioids. These findings suggest that opioids with varying efficacy at the μ and κ receptors produce independent effects on unique pain mechanisms and that individual responsiveness for some is dependent on pain mechanism and opioid type, although a subset of the population is moderately responsive to opioids regardless of efficacy of
receptor binding
or predominant pain mechanism being activated.
Journal:
Journal of Pain - J PAIN
, vol. 12, no. 3, pp. 340-351, 2011
DOI:
10.1016/j.jpain.2010.07.011
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(2)
Fast music retrieval using polyphonic binary feature vectors
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Citations: 12
)
H. Nagano
,
K. Kashino
,
H. Murase
Conference:
International Conference on Multimedia Computing and Systems/International Conference on Multimedia and Expo - ICME(ICMCS)
, 2002
Novel algorithms for the optimization of molecular diversity of combinatorial libraries
Marvin Waldman
,
Hong Li
,
Moises Hassan
Journal:
Peptides
, vol. 18, no. 4, pp. 533-536, 2000