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Updated: Jul 5, 2026
07:23
Assessment of Morphine-induced Hyperalgesia and Analgesic Tolerance in Mice Using Thermal and Mechanical Nociceptive Modalities
Published on: July 29, 2014
[Individual differences in analgesic effects of narcotics].
Soichiro Ide1, Shinya Kasai, Kazutaka Ikeda
1Division of Psychobiology, Tokyo Institute of Psychiatry, 2-1-8 Kamikitazawa, Setagaya-ku, Tokyo, 565-0871 Japan.
Nihon Shinkei Seishin Yakurigaku Zasshi = Japanese Journal of Psychopharmacology
|April 17, 2008
Summary
Genetic factors influence how individuals respond to opioid pain relievers. Understanding these genetic variations, particularly in the mu-opioid receptor (MOP), can help predict patient sensitivity and optimize pain management.
Area of Science:
- Pharmacogenetics
- Molecular Biology
- Pain Management Research
Context:
- Narcotic analgesics, primarily opioids, are crucial for managing severe pain, especially cancer pain.
- Individual variability in opioid response complicates treatment efficacy and increases adverse effects, impacting patient quality of life.
- Genetic factors are increasingly recognized as significant contributors to these individual differences in opioid sensitivity.
Purpose:
- To explore the role of genetic factors in individual differences in opioid sensitivity.
- To investigate the influence of the mu-opioid receptor (MOP) gene sequence on MOP mRNA expression and opioid sensitivity.
- To identify potential genetic markers for predicting patient response to opioid analgesics.
Summary:
- Opioid analgesics exert effects via opioid receptors, with the mu-opioid receptor (MOP) playing a key role.
- Variations in the MOP gene sequence may alter MOP mRNA expression and consequently affect opioid sensitivity.
- Genetic differences in other biomolecules, including endogenous opioid peptides and metabolic pathway components, also likely contribute to opioid sensitivity variability.
- Advances in understanding gene polymorphisms and opioid sensitivity pave the way for personalized pain management strategies.
Impact:
- Enhanced understanding of the genetic basis of opioid sensitivity.
- Potential for more accurate prediction of individual opioid requirements and sensitivity.
- Foundation for developing personalized pain management strategies to improve treatment outcomes and reduce side effects.
- Improved quality of life for patients undergoing pain management, particularly those with cancer pain.
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