Antidepressant‐Like Effects of Hydroxychavicol‐Enriched <i>Piper betle</i> L. Leaf Extract in Chronic Mild Stress–Induced Rodent Models and Possible Mechanism(s) of Action Involved

This study discovers the potential of hydroxychavicol-enriched fraction of Piper betle L. leaf extract (HCRF) as an antidepressant alternative in chronic unpredictable mild stress (CUMS) rodent models with biochemical parameters. It also focused on possible mechanisms through molecular simulation via the anti-inflammatory pathway and in silico pharmacokinetic study. HCRF is isolated from betel leaves, and Swiss albino mice were orally administrated with doses of 50 mg/kg and 100 mg/kg of body weight (bw) for 5 weeks before the CUMS protocols, respectively. In silico investigation is done with pkCSM software for the ADMET study, and molecular docking is performed on hydroxychavicol with target protein 2ZOQ in Schrödinger. HCRF prevented the irregular behaviors acquired in CUMS model, with reduced hypoactivity and sucrose anhedonia. HCRFs of 50 and 100 mg/kg bw diminished the upsurges in the level of tumor necrosis factor alpha (TNF-α) and interleukin-1 beta (IL-1β) in the serum associated with stress. HCRF of 100 mg/kg bw improved inflammation in the brain by plummeting the malonaldehyde and increasing the glutathione via revering oxidative stress. HCRF exhibited an activity similar to antidepressants and might be a consequence of the anti-inflammatory action. The molecular simulation and pharmacokinetic study ensured a probable mechanistic approach of hydroxychavicol in CUMS-associated depression through inflammatory pathways.

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Journal
Chemistry & Biodiversity
Published
2025-04-01
DOI
https://doi.org/10.1002/cbdv.202402842
Citations
1
Primary Topic
Computational Drug Discovery Methods
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article
Field-Weighted Citation Impact
1.50
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article

Antidepressant‐Like Effects of Hydroxychavicol‐Enriched Piper betle L. Leaf Extract in Chronic Mild Stress–Induced Rodent Models and Possible Mechanism(s) of Action Involved

Gourav Rakshit, Sheikh Murtuja, Biswajit Basu, Sejuti Ray Chowdhury et al.
1 citations
Chemistry & Biodiversity
Computational Drug Discovery Methods
1.50
article

Antidepressant‐Like Effects of Hydroxychavicol‐Enriched Piper betle L. Leaf Extract in Chronic Mild Stress–Induced Rodent Models and Possible Mechanism(s) of Action Involved

Gourav Rakshit, Sheikh Murtuja, Biswajit Basu, Sejuti Ray Chowdhury, Shilpa Chatterjee, Nemat Ali, Sourav Ghosh, Bhupendra Gopalbhai Prajapati
article en
1 citations

Abstract

This study discovers the potential of hydroxychavicol-enriched fraction of Piper betle L. leaf extract (HCRF) as an antidepressant alternative in chronic unpredictable mild stress (CUMS) rodent models with biochemical parameters. It also focused on possible mechanisms through molecular simulation via the anti-inflammatory pathway and in silico pharmacokinetic study. HCRF is isolated from betel leaves, and Swiss albino mice were orally administrated with doses of 50 mg/kg and 100 mg/kg of body weight (bw) for 5 weeks before the CUMS protocols, respectively. In silico investigation is done with pkCSM software for the ADMET study, and molecular docking is performed on hydroxychavicol with target protein 2ZOQ in Schrödinger. HCRF prevented the irregular behaviors acquired in CUMS model, with reduced hypoactivity and sucrose anhedonia. HCRFs of 50 and 100 mg/kg bw diminished the upsurges in the level of tumor necrosis factor alpha (TNF-α) and interleukin-1 beta (IL-1β) in the serum associated with stress. HCRF of 100 mg/kg bw improved inflammation in the brain by plummeting the malonaldehyde and increasing the glutathione via revering oxidative stress. HCRF exhibited an activity similar to antidepressants and might be a consequence of the anti-inflammatory action. The molecular simulation and pharmacokinetic study ensured a probable mechanistic approach of hydroxychavicol in CUMS-associated depression through inflammatory pathways.

Chemistry & BiodiversityVol. 22(8)
Birla Institute of Technology, Mesra (IN), King Saud University (SA), Adamas University (IN), Ganpat University (IN), Chitkara University (IN)
Good health and well-being
Openalex Percentile: Top 18%
Computational Drug Discovery Methods
1.50
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