Strategies for Measuring Non-Evoked Pain in Preclinical Models of Neuropathic Pain: Systematic Review.

behavior drug discovery neuropathy preclinical research spontaneous pain

Journal

Neuroscience and biobehavioral reviews
ISSN: 1873-7528
Titre abrégé: Neurosci Biobehav Rev
Pays: United States
ID NLM: 7806090

Informations de publication

Date de publication:
07 Jun 2024
Historique:
received: 06 05 2024
revised: 28 05 2024
accepted: 04 06 2024
medline: 10 6 2024
pubmed: 10 6 2024
entrez: 9 6 2024
Statut: aheadofprint

Résumé

The development of new analgesics for neuropathic pain treatment is crucial. The failure of promising drugs in clinical trials may be related to the over-reliance on reflex-based responses (evoked pain) in preclinical drug testing, which may not fully represent clinical neuropathic pain, characterized by spontaneous non-evoked pain (NEP). Hence, strategies for assessing NEP in preclinical studies emerged. This systematic review identified 443 articles evaluating NEP in neuropathic pain models (mainly traumatic nerve injuries in male rodents). An exponential growth in NEP evaluation was observed, which was assessed using 48 different tests classified in 12 NEP-related outcomes: anxiety, exploration/locomotion, paw lifting, depression, conditioned place preference, gait, autotomy, wellbeing, facial grooming, cognitive impairment, facial pain expressions and vocalizations. Although most of these outcomes showed clear limitations, our analysis suggests that conditioning-associated outcomes, pain-related comorbidities, and gait evaluation may be the most effective strategies. Moreover, a minimal part of the studies evaluated standard analgesics. The greater emphasis on evaluating NEP aligning with clinical pain symptoms may enhance analgesic drug development, improving clinical translation.

Identifiants

pubmed: 38852847
pii: S0149-7634(24)00230-6
doi: 10.1016/j.neubiorev.2024.105761
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

105761

Informations de copyright

Copyright © 2024 Elsevier Ltd. All rights reserved.

Auteurs

Miguel Á Huerta (MÁ)

Department of Pharmacology, Faculty of Medicine, University of Granada, 18016 Granada, Spain; Institute of Neuroscience, Biomedical Research Center, University of Granada, 18100 Armilla, Granada, Spain; Biosanitary Research Institute ibs.GRANADA, 18012 Granada, Spain.

Elsa Cisneros (E)

Health Sciences School, Centro Universitario Internacional de Madrid (CUNIMAD), Madrid, Spain; Health Sciences School, Universidad Internacional de La Rioja (UNIR), Logroño, Spain.

Matilde Alique (M)

Department of System's Biology, Medical School, University of Alcala de Henares, Alcalá de Henares, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034 Madrid, Spain.

Carolina Roza (C)

Department of System's Biology, Medical School, University of Alcala de Henares, Alcalá de Henares, Spain. Electronic address: carolina.roza@uah.es.

Classifications MeSH