Abstract
High doses of nicotine in rodents are known to induce anxiety, dysregulate brain-derived neu-rotrophic factor (BDNF) levels, contribute to oxidative stress, and promote the secretion of cytokines. Conversely, at lower doses, nicotine exhibits anxiolytic effects. The endocannabinoids and nicotine modu-late several central nervous system processes via their specific receptors, impacting locomotion, anxiety, memory, nociception, and reward. Cannabidiol (CBD), a non-psychoactive active ingredient of Cannabis sativa L., has garnered scientific attention primarily due to its recognized effects, including anxiolytic, an-tioxidant, and anti-inflammatory properties. This work aims to explore the potential anxiety-reducing properties of CBD in a well-established experimental mouse model of anxiety-like behavior induced by high doses of nicotine. In this context, the open field behavioral test was specially conducted to assess CBD’s effects on anxiety-like behavior and locomotion. Brain neuronal plasticity, modulated by brain-derived neurotrophic factor (BDNF), along with a diverse array of blood’s metabolic markers, was examined as a means of evaluating systemic toxicity under various treatments. Finally, oxidative stress was evaluated through the measurement of GSH, SOD, and MDA, while pro-inflammatory cytokine assessments were conducted to evaluate redox status and immune system function. Our findings indicate that CBD holds promise in alleviating high-dose nicotine-induced anxiety-like behaviors by targeting specific liver en-zymes, maintaining tissue’s systemic toxicity (i.e., renal, kidney, and pancreatic), balancing redox reactions (SOD, GSH, and MDA), promoting secretion of pro-inflammatory cytokines (TNF-alpha and IL-6), and mitigating changes in BDNF protein levels.
Full text
621 characters
· extracted from
oa-doi-fallback
· click to expand
There is a newer version available for this {{ publicationType }}. View latest version
{{ publication.field_name }}
{{ publication.subfield_name }}
Copyright: © {{ publicationYear }} {{ publication.presentation_authors[0].full_name + (publication.presentation_authors.length > 1 ? ' et al' : '') }}. This is an open access publication distributed under the terms of the CC BY 4.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Check the {{ publicationType | capitalize }} Source for copyright and license information.
Listen on
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.