Literature DB >> 33503911

Wide-Range Measurement of Thermal Preference-A Novel Method for Detecting Analgesics Reducing Thermally-Evoked Pain in Mice.

Kinga Sałat1, Anna Furgała-Wojas1, Michał Awtoniuk2, Robert Sałat3.   

Abstract

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.

Entities:  

Keywords:  control; deep learning; duloxetine; image analysis; mice; oxaliplatin; pregabalin; thermal preference

Mesh:

Substances:

Year:  2021        PMID: 33503911      PMCID: PMC7866141          DOI: 10.3390/molecules26030612

Source DB:  PubMed          Journal:  Molecules        ISSN: 1420-3049            Impact factor:   4.411


  33 in total

Review 1.  Deep learning in neural networks: an overview.

Authors:  Jürgen Schmidhuber
Journal:  Neural Netw       Date:  2014-10-13

2.  Acute oxaliplatin-induced peripheral nerve hyperexcitability.

Authors:  Richard H Wilson; Tanya Lehky; Rebecca R Thomas; Mary G Quinn; Mary Kay Floeter; Jean L Grem
Journal:  J Clin Oncol       Date:  2002-04-01       Impact factor: 44.544

Review 3.  The mouse thermoregulatory system: Its impact on translating biomedical data to humans.

Authors:  Christopher J Gordon
Journal:  Physiol Behav       Date:  2017-05-19

4.  Searching for analgesic drug candidates alleviating oxaliplatin-induced cold hypersensitivity in mice.

Authors:  Kinga Sałat; Anna Furgała; Natalia Malikowska-Racia
Journal:  Chem Biol Drug Des       Date:  2019-03-22       Impact factor: 2.817

5.  Efficacy of duloxetine, a potent and balanced serotonergic and noradrenergic reuptake inhibitor, in inflammatory and acute pain models in rodents.

Authors:  Carrie K Jones; Steven C Peters; Harlan E Shannon
Journal:  J Pharmacol Exp Ther       Date:  2004-10-19       Impact factor: 4.030

6.  Assessment of thermal sensitivity in rats using the thermal place preference test: description and application in the study of oxaliplatin-induced acute thermal hypersensitivity and inflammatory pain models.

Authors:  David Balayssac; Bing Ling; Jérémy Ferrier; Bruno Pereira; Alain Eschalier; Nicolas Authier
Journal:  Behav Pharmacol       Date:  2014-04       Impact factor: 2.293

7.  Face-to-face comparison of the predictive validity of two models of neuropathic pain in the rat: analgesic activity of pregabalin, tramadol and duloxetine.

Authors:  Camille Le Cudennec; Vincent Castagné
Journal:  Eur J Pharmacol       Date:  2014-04-12       Impact factor: 4.432

8.  Black box modeling of PIDs implemented in PLCs without structural information: a support vector regression approach.

Authors:  Robert Salat; Michal Awtoniuk
Journal:  Neural Comput Appl       Date:  2014-10-26       Impact factor: 5.606

9.  Methods Used to Evaluate Pain Behaviors in Rodents.

Authors:  Jennifer R Deuis; Lucie S Dvorakova; Irina Vetter
Journal:  Front Mol Neurosci       Date:  2017-09-06       Impact factor: 5.639

10.  Evaluation of antinociceptive and antioxidant properties of 3-[4-(3-trifluoromethyl-phenyl)-piperazin-1-yl]-dihydrofuran-2-one in mice.

Authors:  Kinga Sałat; Katarzyna Gawlik; Jadwiga Witalis; Dorota Pawlica-Gosiewska; Barbara Filipek; Bogdan Solnica; Krzysztof Więckowski; Barbara Malawska
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2013-03-14       Impact factor: 3.000

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