Molecules (Basel, Switzerland), 2021-01, Vol.26 (3), p.612
2021
Details
- Autor(en) / Beteiligte
- Titel
- Wide-Range Measurement of Thermal Preference-A Novel Method for Detecting Analgesics Reducing Thermally-Evoked Pain in Mice
- Ist Teil von
- Molecules (Basel, Switzerland), 2021-01, Vol.26 (3), p.612
- Ort / Verlag
- Switzerland: MDPI AG
- Erscheinungsjahr
- 2021
- Link zum Volltext
- Quelle
- Free E-Journal (出版社公開部分のみ）
- Beschreibungen/Notizen
- 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. 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. 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. 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1420-3049eISSN: 1420-3049DOI: 10.3390/molecules26030612Titel-ID: cdi_doaj_primary_oai_doaj_org_article_e067d35c59234847bcc0a0a968260daa
- Format
- –
- Schlagworte
- Analgesia, Analgesics, Analgesics - pharmacology, Animals, Antineoplastic Agents - pharmacology, Attenuation, Cancer therapies, Cold, Cold Temperature, control, Deep learning, Deoxyribonucleic acid, Disease Models, Animal, DNA, Drug development, Drugs, Duloxetine, Duloxetine Hydrochloride - pharmacology, Hot Temperature, Hyperalgesia - drug therapy, Hypersensitivity, Image analysis, Image processing, Laboratory animals, Learning algorithms, Machine learning, Male, Metabolites, Mice, Neuropathy, Oxaliplatin, Oxaliplatin - pharmacology, Pain, Pain - drug therapy, Pain Measurement - methods, Pain perception, Preferences, Pregabalin - pharmacology, Temperature, thermal preference