Argan Oil Mitigates Olanzapine‐Induced Weight Gain and Metabolic Alterations: An In Silico and Experimental Study

ABSTRACT Olanzapine, a commonly prescribed antipsychotic, is associated with metabolic disturbances, such as weight gain, dyslipidemia, and glucose dysregulation. Argan oil, a traditional Amazigh dietary component, is known for its anti‐obesity and lipid‐lowering effects, but its influence on olanzapine‐induced weight gain remains unexplored. This study aimed to evaluate the pharmacological role of Argan oil against olanzapine‐induced weight gain and metabolic disturbances using in silico and in vivo approaches. Sixteen bioactives from Argan oil were screened for gastrointestinal absorption, and potential protein targets were predicted, yielding 111 protein targets across 124 metabolic pathways. Molecular docking revealed ligand–target interactions, while an in vitro pancreatic lipase inhibition assay examined anti‐obesity activity, and in vivo studies evaluated body weight, food intake, activity, glucose, lipid profile, and histology. Among the compounds, epicatechin, a key bioactive, interacted with 105 proteins, notably HMGCR (cholesterol biosynthesis) and HSD11B1 (glucocorticoid metabolism), which were identified as key modulators. Docking showed strong epicatechin binding to HMGCR, while Argan oil exhibited lipase inhibition (IC 50 = 66.54 µg/mL). In vivo, it reduced olanzapine‐induced weight gain, hyperglycemia, and dyslipidemia, improving metabolic and behavioral outcomes, highlighting its potential as a nutraceutical against antipsychotic‐induced metabolic syndrome.

Authors

Institutions

Publication Details

Journal
ChemistrySelect
Published
2026-05-01
DOI
https://doi.org/10.1002/slct.202502722
Primary Topic
Edible Oils Quality and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Argan Oil Mitigates Olanzapine‐Induced Weight Gain and Metabolic Alterations: An In Silico and Experimental Study

Shamanand P. Mallapur, Vrunda J. Kumbhar, Sathgowda A. Patil, Akshay Shamnewadi et al.
ChemistrySelect
Edible Oils Quality and Analysis
article

Argan Oil Mitigates Olanzapine‐Induced Weight Gain and Metabolic Alterations: An In Silico and Experimental Study

Shamanand P. Mallapur, Vrunda J. Kumbhar, Sathgowda A. Patil, Akshay Shamnewadi, Rajashekar Chavan, Vishal S. Patil, Jagadeesh B Dodakallanavar, Veerkumar P. Japti
article en

Abstract

ABSTRACT Olanzapine, a commonly prescribed antipsychotic, is associated with metabolic disturbances, such as weight gain, dyslipidemia, and glucose dysregulation. Argan oil, a traditional Amazigh dietary component, is known for its anti‐obesity and lipid‐lowering effects, but its influence on olanzapine‐induced weight gain remains unexplored. This study aimed to evaluate the pharmacological role of Argan oil against olanzapine‐induced weight gain and metabolic disturbances using in silico and in vivo approaches. Sixteen bioactives from Argan oil were screened for gastrointestinal absorption, and potential protein targets were predicted, yielding 111 protein targets across 124 metabolic pathways. Molecular docking revealed ligand–target interactions, while an in vitro pancreatic lipase inhibition assay examined anti‐obesity activity, and in vivo studies evaluated body weight, food intake, activity, glucose, lipid profile, and histology. Among the compounds, epicatechin, a key bioactive, interacted with 105 proteins, notably HMGCR (cholesterol biosynthesis) and HSD11B1 (glucocorticoid metabolism), which were identified as key modulators. Docking showed strong epicatechin binding to HMGCR, while Argan oil exhibited lipase inhibition (IC 50 = 66.54 µg/mL). In vivo, it reduced olanzapine‐induced weight gain, hyperglycemia, and dyslipidemia, improving metabolic and behavioral outcomes, highlighting its potential as a nutraceutical against antipsychotic‐induced metabolic syndrome.

ChemistrySelectVol. 11(18)
KLE Academy of Higher Education and Research (IN)
Zero hunger
Openalex Percentile: Top 8%
Edible Oils Quality and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.