Formulation and optimization of metformin-berberine loaded solid lipid nanoparticles for their neuroprotective effects in the brain

Ravina Yadav; Ruchi Jakhmola Mani; Arun  Sharma; Ashish  Kumar; Deepshikha Katare

doi:10.69857/joapr.v13i5.1356

Authors

Ravina Yadav Proteomics and Translational Research Lab, Centre for Medical Biotechnology, Amity Institute of Biotechnology, Amity University, Noida. India 201301
Ruchi Jakhmola Mani Proteomics and Translational Research Lab, Centre for Medical Biotechnology, Amity Institute of Biotechnology, Amity University, Noida. India 201301
Arun Sharma Department of Pharmacology, Amity Institute of Pharmacy, Amity University, Gurugram, Haryana, India 122413
Ashish Kumar Department of Pharmacology, Amity Institute of Pharmacy, Amity University, Gurugram, Haryana, India 122413
Deepshikha Katare Proteomics and Translational Research Lab, Centre for Medical Biotechnology, Amity Institute of Biotechnology, Amity University, Noida. India 201301

DOI:

https://doi.org/10.69857/joapr.v13i5.1356

Keywords:

Type 2 Diabetes, Solid lipid Nanoparticles, Box Behnken, Optimization, Oxidative stress

Abstract

Background: The increasing prevalence of Type 2 Diabetes Mellitus (T2DM) is associated with a heightened risk of developing Alzheimer’s Disease (AD), highlighting the need for effective therapeutic strategies that address the shared pathophysiological mechanisms in both conditions. Methodology: The Metformin-Berberine loaded solid lipid particles (MBSLNs) were prepared by dispersion of different concentrations of stearic acid, polysorbate 80, poloxamer 407, sesame oil, metformin, and berberine. Factor screening studies have been done to identify the influential components. An optimization study was then conducted using a three-factor Box-Behnken design with Design-Expert software. In-Vivo studies confirmed the neuroprotective role of SLNs. Results: The optimized concentrations of the variable factors were determined using the overlay plot generated by the software, resulting in stearic acid (4.84%), polysorbate 80 (1.50%), Poloxamer 407 (1%), and sesame oil (0.31%). The responses, particle size (10–200 nm), zeta potential (> ±30 mV), and polydispersity index (PDI) (0–1) were achieved within the desired range. Discussion: The closeness in experimental and predicted values confirms the reliability of the optimization technique. The optimized formulation exhibits a significant reduction in oxidative stress, and decreased glucose levels were observed when compared to the control, indicating a neuroprotective effect of the formulation. Conclusion: The optimized MBSLNs were affected by the independent parameters examined, including stearic acid, polysorbate 80, Poloxamer 407, and sesame oil concentrations, with significant effects on particle size, zeta potential, and size distribution. The utilization of MBSLNs has emerged as a remarkably effective strategy for enhancing the biological activity of Metformin and berberine in treating T2DM-induced AD.

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