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Updated: Nov 19, 2025

Assessment of Morphine-induced Hyperalgesia and Analgesic Tolerance in Mice Using Thermal and Mechanical Nociceptive Modalities
Published on: July 29, 2014
Wide-Range Measurement of Thermal Preference-A Novel Method for Detecting Analgesics Reducing Thermally-Evoked Pain
Kinga Sałat1, Anna Furgała-Wojas1, Michał Awtoniuk2
1Department of Pharmacodynamics, Chair of Pharmacodynamics, Jagiellonian University Medical College, 9 Medyczna St., 30-688 Krakow, Poland.
Background:
Wide use of oxaliplatin as an antitumor drug is limited by severe neuropathy with pharmacoresistant cold hypersensitivity as the main symptom. Novel analgesics to attenuate cold hyperalgesia and new methods to detect drug candidates are needed.
Methods:
We developed a method to study thermal preference of oxaliplatin-treated mice and assessed analgesic activity of intraperitoneal duloxetine and pregabalin used at 30 mg/kg. A prototype analgesiameter and a broad range of temperatures (0-45 °C) were used. Advanced methods of image analysis (deep learning and machine learning) enabled us to determine the effectiveness of analgesics. The loss or reversal of thermal preference of oxaliplatin-treated mice was a measure of analgesia.
Results:
Duloxetine selectively attenuated cold-induced pain at temperatures between 0 and 10 °C. Pregabalin-treated mice showed preference towards a colder plate of the two used at temperatures between 0 and 45 °C.
Conclusion:
Unlike duloxetine, pregabalin was not selective for temperatures below thermal preferendum. It influenced pain sensation at a much wider range of temperatures applied. Therefore, for the attenuation of cold hypersensitivity duloxetine seems to be a better than pregabalin therapeutic option. We propose wide-range measurements of thermal preference as a novel method for the assessment of analgesic activity in mice.
Insights
Duloxetine effectively reduced cold-induced pain in oxaliplatin-treated mice, unlike pregabalin. This study introduces a novel thermal preference method for assessing new analgesic drug candidates.
Area of Science:
- Neuroscience
- Pharmacology
- Oncology
Background:
- Oxaliplatin, an antitumor drug, causes severe neuropathy, primarily cold hypersensitivity, limiting its use.
- Novel analgesics and detection methods are crucial for managing oxaliplatin-induced pain.
Purpose of the Study:
- To develop and validate a novel method for assessing analgesic activity in oxaliplatin-treated mice.
- To evaluate the efficacy of duloxetine and pregabalin in attenuating cold hypersensitivity.
Main Methods:
- A thermal preference assay using an analgesiameter and a wide temperature range (0-45 °C) was developed.
- Deep learning and machine learning image analysis quantified analgesic effectiveness.
- Loss or reversal of thermal preference in oxaliplatin-treated mice indicated analgesia.
Main Results:
- Duloxetine selectively reduced cold pain at 0-10 °C.
- Pregabalin influenced pain sensation across the entire 0-45 °C range, lacking selectivity.
- Oxaliplatin-induced cold hypersensitivity was differentially affected by the tested analgesics.
Conclusions:
- Duloxetine demonstrates superior selectivity for cold hypersensitivity compared to pregabalin.
- The thermal preference method offers a promising new approach for evaluating analgesic drug candidates.
- Duloxetine presents a potentially better therapeutic option for oxaliplatin-induced cold hypersensitivity.

