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Modeling of antipsychotic-induced metabolic alterations in mice: An experimental approach precluding psychosis as a
Raghunath Singh1, Yashika Bansal1, Rupinder Kaur Sodhi1
1Pharmacology Research Laboratory, University Institute of Pharmaceutical Sciences, UGC Centre of Advanced Study (UGC-CAS), Panjab University, Chandigarh 160014, India.
Abstract:
Despite benefits, atypical antipsychotics produce troublesome metabolic adverse effects particularly hyperphagia, weight gain, dyslipidemia, hyperglycemia and insulin resistance which further develop metabolic and cardiac complications. The animal models studied for antipsychotic-induced weight gain only focused on metabolic alteration in antipsychotics treated animals but none has considered psychosis as a predisposing factor which mimics the clinical condition. The present study was aimed to rule out the impact of pharmacologically induced psychosis-like phenotype on metabolic alterations induced by antipsychotics. Female BALB/c mice (weighing 18-23 g) exhibiting schizophrenia-like behavior after 5 days of MK-801 treatment (0.1 mg/kg, i.p.) were administered olanzapine (3 and 6 mg/kg, per oral) and risperidone (2 and 4 mg/kg, per oral) for six weeks. Acute as well as chronic treatment with olanzapine and risperidone treatment significantly reduced locomotion, increased feed intake and body weight in a time-dependent manner, which confirms the face validity of the animal model. Olanzapine (6 mg/kg) treatment significantly altered glucose and lipid homeostasis which was further accompanied by elevated levels of proinflammatory cytokines, ghrelin and leptin. These metabolic and biochemical alterations have demonstrated construct validity. Further, no significant difference was observed in the metabolic parameters in control and schizophrenic mice treated with olanzapine which confers that antipsychotic-induced metabolic alterations are independent of psychosis. Our study concluded that six-week olanzapine (6 mg/kg) treatment in control mice induced most of the clinically relevant physiological, biochemical and metabolic alterations (clinically relevant), that is independent of pharmacologically-induced psychosis.
Insights
Atypical antipsychotics cause metabolic issues, but this study shows these side effects are independent of psychosis. Animal models confirm olanzapine and risperidone induce weight gain and metabolic changes unrelated to schizophrenia-like behavior.
Area of Science:
- Pharmacology
- Neuroscience
- Metabolic Research
Background:
- Atypical antipsychotics offer therapeutic benefits but cause significant metabolic adverse effects, including weight gain, dyslipidemia, hyperglycemia, and insulin resistance.
- Existing animal models for antipsychotic-induced weight gain often overlook the role of psychosis as a potential predisposing factor, limiting their clinical relevance.
Purpose of the Study:
- To investigate the impact of a pharmacologically induced psychosis-like phenotype on antipsychotic-induced metabolic alterations.
- To determine if antipsychotic-induced metabolic changes are dependent on or independent of psychosis.
Main Methods:
- Female BALB/c mice were treated with MK-801 to induce a schizophrenia-like phenotype.
- Subsequently, mice received olanzapine or risperidone for six weeks.
- Locomotion, feed intake, body weight, glucose and lipid homeostasis, and cytokine levels were assessed.
Main Results:
- Both olanzapine and risperidone significantly reduced locomotion and increased feed intake and body weight in a time-dependent manner.
- Olanzapine (6 mg/kg) significantly altered glucose and lipid homeostasis, increased proinflammatory cytokines, ghrelin, and leptin.
- No significant differences in metabolic parameters were observed between control and schizophrenic mice treated with olanzapine, indicating psychosis independence.
Conclusions:
- Antipsychotic-induced metabolic alterations, including weight gain and dysregulation of glucose and lipid homeostasis, are independent of psychosis.
- Six-week olanzapine treatment in control mice replicated clinically relevant metabolic and biochemical changes, validating its use in studying these side effects.
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