Exploring Synergistic Effects of Bioprinted Extracellular Vesicles for Skin Regeneration.
Manal Hussein TaghdiBarathan MuttiahAlvin Man Lung ChanMohd Fauzi Bin Mh BusraJia-Xian LawYogeswaran LokanathanPublished in: Biomedicines (2024)
Regenerative medicine represents a paradigm shift in healthcare, aiming to restore tissue and organ function through innovative therapeutic strategies. Among these, bioprinting and extracellular vesicles (EVs) have emerged as promising techniques for tissue rejuvenation. EVs are small lipid membrane particles secreted by cells, known for their role as potent mediators of intercellular communication through the exchange of proteins, genetic material, and other biological components. The integration of 3D bioprinting technology with EVs offers a novel approach to tissue engineering, enabling the precise deposition of EV-loaded bioinks to construct complex three-dimensional (3D) tissue architectures. Unlike traditional cell-based approaches, bioprinted EVs eliminate the need for live cells, thereby mitigating regulatory and financial obstacles associated with cell therapy. By leveraging the synergistic effects of EVs and bioprinting, researchers aim to enhance the therapeutic outcomes of skin regeneration while addressing current limitations in conventional treatments. This review explores the evolving landscape of bioprinted EVs as a transformative approach for skin regeneration. Furthermore, it discusses the challenges and future directions in harnessing this innovative therapy for clinical applications, emphasizing the need for interdisciplinary collaboration and continued scientific inquiry to unlock its full therapeutic potential.
Keyphrases
- cell therapy
- wound healing
- stem cells
- induced apoptosis
- healthcare
- tissue engineering
- cell cycle arrest
- soft tissue
- cancer therapy
- single cell
- drug delivery
- mesenchymal stem cells
- signaling pathway
- gene expression
- type diabetes
- big data
- adipose tissue
- metabolic syndrome
- machine learning
- cell proliferation
- skeletal muscle
- artificial intelligence
- copy number
- cell adhesion