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.

Abstract

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.