We'd appreciate your feedback. Send feedback Subscribe to our newsletters and alerts


Journal of Medical Sciences and Interdisciplinary Research

2024 Volume 4 Issue 1

Advancements in Bone Tissue Regeneration: A Review of Common Scaffolds in Tissue Engineering


, , , ,
  1. Institute of Biology and Immunology of Reproduction, Department of Molecular Immunology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.
  2. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.
  3. Department of Orthopedics and Traumatology, University Hospital Queen Giovanna-ISUL, 1527 Sofia, Bulgaria.
Abstract

Regenerative medicine offers innovative solutions through cell therapy and tissue engineering techniques to address irreparable bone damage. Engineered structures play an important role in enhancing the body’s natural healing process, especially in cases where extensive bone loss prevents natural recovery. This article provides an overview of the most commonly used scaffolds in tissue engineering for bone regeneration. Given that bone is a rigid and inflexible tissue, scaffolds designed for bone repair must be made from materials that possess similar hardness. For example, bioactive glasses are an ideal material, as they form a crystal layer of hydroxyapatite when exposed to the body’s physiological fluids. The choice of manufacturing method depends on the structure of the tissue being studied. Scaffolds are crucial in tissue engineering, and various methods have been developed to create effective scaffolds. One of these methods is electrospinning, which allows the creation of fibers ranging from several microns to nanometers in size by altering specific conditions. The high surface area-to-volume ratio of electrospun fibers increases cell adhesion and proliferation on the scaffold. Consequently, scaffolds made by electrospinning, combining bioactive glass and polymer materials, provide a promising foundation for the treatment of bone diseases.


How to cite this article
Vancouver
Kostadinova M, Raykovska M, Simeonov R, Lolov S, Mourdjeva M. Advancements in Bone Tissue Regeneration: A Review of Common Scaffolds in Tissue Engineering. J Med Sci Interdiscip Res. 2024;4(1):8-14. https://doi.org/10.51847/9j9DuUUgWY
APA
Kostadinova, M., Raykovska, M., Simeonov, R., Lolov, S., & Mourdjeva, M. (2024). Advancements in Bone Tissue Regeneration: A Review of Common Scaffolds in Tissue Engineering. Journal of Medical Sciences and Interdisciplinary Research, 4(1), 8-14. https://doi.org/10.51847/9j9DuUUgWY
Articles
A Comparative Analysis of High-Intensity Laser Therapy vs. Shock Wave Therapy in Diabetic Frozen Shoulder Management
Journal of Medical Sciences and Interdisciplinary Research
Vol 4 Issue 2, 2024 | Ahmed Ebrahim Elerian
Exploring the Pathogen-Carrying Role of Ixodes Ticks in Vector-Borne Infections
Journal of Medical Sciences and Interdisciplinary Research
Vol 4 Issue 2, 2024 | Jiří Černý
Nutritional Proteomics: A Pathway to Understanding and Optimizing Human Health
Journal of Medical Sciences and Interdisciplinary Research
Vol 3 Issue 2, 2023 | Hala Salim Sonbol
Impact of Keratoconus on Patient Well-being: A Comprehensive Review
Journal of Medical Sciences and Interdisciplinary Research
Vol 3 Issue 2, 2023 | Magdalena Nandzik
Advancements in Bone Tissue Regeneration: A Review of Common Scaffolds in Tissue Engineering
Journal of Medical Sciences and Interdisciplinary Research
Vol 4 Issue 1, 2024 | Milena Kostadinova
Adherence to Face Mask Guidelines Among Polish Healthcare Professionals During the COVID-19 Pandemic: Are We Doing Enough?
Journal of Medical Sciences and Interdisciplinary Research
Vol 5 Issue 2, 2025 | Pedro Henrique Almeida
Artificial Intelligence for Automated Operative Note Generation in Endoscopic Neurosurgery
Journal of Medical Sciences and Interdisciplinary Research
Vol 6 Issue 1, 2026 | Nguyen Thanh Huy
Identification of Tumor-Specific Alternative Splicing Events Using an Outlier-Based Computational Approach
Journal of Medical Sciences and Interdisciplinary Research
Vol 6 Issue 1, 2026 | Zsolt Kovács
Transfer Learning-Driven Brain Tumor Classification from MRI: A Comprehensive Multi-Class and Binary Evaluation
Journal of Medical Sciences and Interdisciplinary Research
Vol 6 Issue 1, 2026 | Andrei Popescu
Accurate Classification of Human Mental States Using a Stacked Ensemble Machine Learning Framework
Journal of Medical Sciences and Interdisciplinary Research
Vol 6 Issue 1, 2026 | Yifan Zhao

About SMER

Find out more