Clinical relevance of chronic neuropathic pain phenotypes in mice: A comprehensive behavioral analysis.


Journal

Behavioural brain research
ISSN: 1872-7549
Titre abrégé: Behav Brain Res
Pays: Netherlands
ID NLM: 8004872

Informations de publication

Date de publication:
26 02 2021
Historique:
received: 08 05 2020
revised: 13 08 2020
accepted: 01 12 2020
pubmed: 9 12 2020
medline: 16 11 2021
entrez: 8 12 2020
Statut: ppublish

Résumé

Despite a large number of preclinical studies performed each year, the safe and effective therapeutic interventions for chronic pain are scant. Therefore, it appears that pre-clinical modeling requires a systematically organized behavioral test paradigm to quantify the response of animals for a specific pain state. The present study, therefore, conceptualized a test battery to evaluate the behavioral changes in mice following neuropathic pain. We employed sciatic nerve chronic constriction injury (CCI) in C57BL/6 J mice to model chronic pain state. Mice were monitored for thermal hyperalgesia and grip strength for 30 days. Subsequently, mice underwent a behavioral test battery consisting of the nociceptive threshold, the affective and cognitive functions and motor coordination, and strength. Our results showed that CCI mice are insensitive to thermal stimuli. However, nerve-injured mice showed significant changes in neuromuscular coordination, basal anxiety, and hedonic state. Such impaired neuromuscular coordination is indicative of disability rather than the actual pain phenotype. While using the digital gait analysis, our study revealed rationales for the insensitivity of CCI mice to thermal stimuli. Our results suggest that the predictive validity of the CCI model necessitates a comprehensive behavioral test battery to select the clinically relevant and measurable phenotype to quantify chronic neuropathic pain.

Identifiants

pubmed: 33290758
pii: S0166-4328(20)30754-3
doi: 10.1016/j.bbr.2020.113055
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

113055

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Nidhi Goswami (N)

Division of Behavioral Neuroscience, Institute of Nuclear Medicine & Allied Sciences, Delhi, India.

Mohd Aleem (M)

Division of Behavioral Neuroscience, Institute of Nuclear Medicine & Allied Sciences, Delhi, India.

Kailash Manda (K)

Division of Behavioral Neuroscience, Institute of Nuclear Medicine & Allied Sciences, Delhi, India. Electronic address: kailashmanda@gmail.com.

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Classifications MeSH