Literature DB >> 22451419

Automated measurement of spontaneous pain-associated limb movement and drug efficacy evaluation in a rat model of neuropathic pain.

S Kawasaki-Yatsugi1, Y Nagakura, S Ogino, T Sekizawa, T Kiso, M Takahashi, G Ishikawa, H Ito, Y Shimizu.   

Abstract

BACKGROUND: The withdrawal response elicited by a nociceptive stimulus, i.e., evoked pain measure, is commonly used as an efficacy endpoint in neuropathic pain animal models. It, however, has several limitations, which highlight the importance of examining spontaneous pain. The present study describes an automated method for measuring spontaneous pain behaviour in a rat model of neuropathic pain caused by chronic constriction injury (CCI) of sciatic nerve.
METHODS: After CCI surgery, a small magnet was implanted into the operated limb. The rat was placed in a test chamber that was surrounded by wire coil. Limb movements, including lifting/guarding, flinching/shaking, licking and walking in the operated limb, caused changes in the electromagnetic field, including a change in voltage and transformed into a signal via an amplifier.
RESULTS: CCI rats consistently showed more frequent limb movement than sham rats. There was no significant correlation between the frequency of spontaneous pain behaviour and the evoked pain symptoms. Treatment with duloxetine (30 mg/kg p.o.) and amitriptyline (30 and 100 mg/kg p.o.) significantly reduced this frequency. Pregabalin at 30 mg/kg p.o. tended to reduce the frequency, and diclofenac up to 10 mg/kg p.o. had no effect.
CONCLUSION: A non-subjective automated method for measuring spontaneous pain behaviour in an animal model of neuropathic pain was established. It is expected that the current system will greatly enhance the analysis of spontaneous pain-related behaviour, which is a predominant symptom in patients with neuropathic pain. The current system may also be valuable in the screening of potential analgesic treatments.
© 2012 European Federation of International Association for the Study of Pain Chapters.

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Year:  2012        PMID: 22451419     DOI: 10.1002/j.1532-2149.2012.00142.x

Source DB:  PubMed          Journal:  Eur J Pain        ISSN: 1090-3801            Impact factor:   3.931


  5 in total

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Authors:  Chih-Yi Chiang; Yueh-Peng Chen; Hung-Ruei Tzeng; Man-Hsin Chang; Lih-Chu Chiou; Yu-Cheng Pei
Journal:  J Pers Med       Date:  2022-05-24

2.  A Predictive Coding Model for Evoked and Spontaneous Pain Perception.

Authors:  Yuru Song; Helen Kemprecos; Jing Wang; Zhe Chen
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2019-07

3.  Analysis of Nociceptive Information Encoded in the Temporal Discharge Patterns of Cutaneous C-Fibers.

Authors:  Kyeongwon Cho; Jun Ho Jang; Sung-Phil Kim; Sang Hoon Lee; Soon-Cheol Chung; In Young Kim; Dong Pyo Jang; Sung Jun Jung
Journal:  Front Comput Neurosci       Date:  2016-11-18       Impact factor: 2.380

4.  Antinociceptive Effect of Cyperi rhizoma and Corydalis tuber Extracts on Neuropathic Pain in Rats.

Authors:  Jae-Gyun Choi; Suk-Yun Kang; Jae-Min Kim; Dae-Hyun Roh; Seo-Yeon Yoon; Jin Bong Park; Jang-Hern Lee; Hyun-Woo Kim
Journal:  Korean J Physiol Pharmacol       Date:  2012-12-10       Impact factor: 2.016

5.  Pregabalin in neuropathic pain: evidences and possible mechanisms.

Authors:  Vivek Verma; Nirmal Singh; Amteshwar Singh Jaggi
Journal:  Curr Neuropharmacol       Date:  2014-01       Impact factor: 7.363

  5 in total

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