Original ArticleIndian Journal of Pharmaceutical Education and ResearchVol. 51 | Issue 4s | 2017 | pp. s645–s652Open access
Effect of Metabolic Syndrome on Depression in Mice
- 1,
- 1,
- 2*
- 1 Department of Pharmacology, Gupta College of Technological Sciences, Asansol West Bengal, INDIA.
- 2 Department of Pharmaceutical Sciences and Technology, Birla Institute of Technology, Mesra, Ranchi, INDIA.
Published in Indian Journal of Pharmaceutical Education and Research
Correspondence: Sugato Banerjee
Department of Pharmaceutical Sciences and Technology, Birla Institute of Technology, Mesra, Ranchi, INDIA.
Email: sbanerjee@bitmesra.ac.in
Copyright: © 2017 Manuscript Technomedia. This is an open access article.
- Published:
- Dec 25, 2017
- Received:
- Apr 18, 2017
- Accepted:
- Oct 27, 2017
How to cite
Mukherjee, A., Sen, K. K., & Banerjee, S. (2017). Effect of Metabolic Syndrome on Depression in Mice. Indian Journal of Pharmaceutical Education and Research, 51(4s), s645–s652. https://doi.org/10.5530/ijper.51.4s.94
Abstract
Metabolic syndrome (MetS) is associated with high blood glucose, insulin resistance, dyslipidemia, central obesity, and hypertension. There is clinical evidence of the coexistence of depression and MetS, however, pathways associating these diseases are far from clear. In the present study, we evaluate and determine the pathogenesis of depression in MetS animals. Methods: Diet induced (High-fat diet long with 20% fructose water; HFHC diet for 4 weeks) MetS was developed in swiss albino mice. Fasting blood glucose levels, Lipids and blood pressure (BP) was measured in these animals. Development of depression in these animals was determined using forced swim and tail suspension tests. This was followed by measurement of GABA, dopamine, serotonin and norepinephrine levels in these animals. We also evaluated the effect of various antidepressants, on MetS associated depression. Results: MetS was induced using high fat and high carbohydrate (HFHC) diet in Swiss albino mice with high fasting blood glucose levels (>250 mg/dl), significantly increased LDL (p<0.001) and triglyceride (p<0.01) and reduced HDL levels (p<0.05) and significant increase in systolic BP; p<0.001) compared to normal controls. MetS animals showed signs of depression with significantly higher (p<0.001) immobility time in forced swim and tail suspension tests. These animals showed significantly lower corticohippocampal norepinephrine (NE) levels (p<0.01) compared to controls. Nortryptaline, showed a dose dependent decrease in immobility time in MetS animals (p<0.001) in both forced swim and tail suspension tests thus reversing MetS induced depression. Conclusion: The above results suggest that MetS may lead to depression in mice which is primarily mediated by NE system.
Keywords
Subject
Article metadata
| Title | Effect of Metabolic Syndrome on Depression in Mice |
|---|---|
| Authors | Aniruddha Mukherjee; Kalyan K Sen; Sugato Banerjee |
| Affiliations | Department of Pharmacology, Gupta College of Technological Sciences, Asansol West Bengal, INDIA.; Department of Pharmaceutical Sciences and Technology, Birla Institute of Technology, Mesra, Ranchi, INDIA. |
| Corresponding author | sbanerjee@bitmesra.ac.in |
| Journal | Indian Journal of Pharmaceutical Education and Research |
| Volume / Issue | Vol. 51, Issue 4s (2017) |
Also in this issue
- Past and Future of in-vitro and in-vivo Animal Models for Diabetes: A Reviewpp. s522–s530
- Non-Animal Models for Research and Toxicity Testing of Drugspp. s531–s538
- Development and Evaluation of Fast Dissolving Film for Oro-Buccal Drug Delivery of Chlorpromazinepp. s539–s547
- Process Optimization of Methylphenidate Hydrochloride Extended Release Pellets by QbDpp. s548–s558
- Nephroprotective Effect of Low Viscosity Sodium Alginate on Lead Acetate-Induced Nephrotoxicity in Ratspp. s559–s565
Readers Also Viewed
Development and Validation of UV/visible Spectrophotometric Method for Estimation of Piroxicam from Bulk and Formulation
Sandip Mohan Honmane, Kunal Rajaram Yadav, Yuvraj Dilip Dange
Apr 23, 2025
Effects of Artificial Intelligence on Academic Performance of Library and Information Science University Students: A Meta-Analysis (2023-2025)
Kayode Sunday John Dada
Aug 6, 2026
Bridging Innovation and Impact: A Multidisciplinary Approach to Contemporary Research Challenges
Mueen Ahmed KK
Aug 11, 2026