مقالات پذیرفته شده در نهمین کنگره بین المللی زیست پزشکی
Investigating the efficiency of neural differentiation of human mesenchymal stem cells on composite polymer films copolymerized
Investigating the efficiency of neural differentiation of human mesenchymal stem cells on composite polymer films copolymerized
Monireh Monfaredi,1Marzieh Ghollasi,2,*Farzaneh Moshiri,3
1. Department of Biology, SR.C., Islamic Azad university, Tehran, Iran 2. Department of Cell & Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran. 3. Cellular and Molecular Research Center, Iran University of Medical Sciences,Tehran, Iran.
Introduction: Introduction
Peripheral nerve injuries often result in significant loss of sensory and motor functions. One promising approach for promoting neural regeneration involves the use of mesenchymal stem cells (MSCs) in combination with biocompatible scaffolds. This study aims to investigate the effect of polymeric scaffolds co-polymerized with chitosan, containing bentonite nanoparticles and Noopept drug, on the neural differentiation of human MSCs.
Methods: Methods
Scaffolds composed of poly(glycerol sebacate) (PGS), chitosan, and bentonite nanoparticles were synthesized and characterized using FTIR spectroscopy and scanning electron microscopy (SEM). Human adipose-derived mesenchymal stem cells were seeded on the scaffolds. Noopept was incorporated to enhance neurogenic differentiation. Expression of neuronal markers was analyzed using RT-PCR and immunocytochemistry.
Results: Results
The results revealed a porous and interconnected structure suitable for cell attachment. FTIR confirmed the chemical structure of the synthesized scaffolds. SEM showed proper morphology for cellular growth. Expression of neural markers increased significantly in scaffolds containing Noopept.
Conclusion: Conclusion
- The developed composite scaffolds support the adhesion and differentiation of hMSCs.
- Noopept significantly enhances the expression of neural markers.
- These scaffolds offer potential in neural tissue engineering applications.