Shariat Rad Parand, Khazaei Mozafar, Ghanbari Elham, Rashidi Mehdi, Rezakhani Leila
Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.
USERN Office, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Front Med Technol. 2025 Aug 14;7:1503153. doi: 10.3389/fmedt.2025.1503153. eCollection 2025.
Medical science is striving to find new solutions to treat various diseases. Tissue engineering with a great potential to develop tissues and even organs from synthetic and biological materials, open a new gate toward absolute treatments. Although in tissue engineering as a subtype of regenerative medicine, decellularized tissues are new, promising way to fill the previous methods gaps. Outside of the biological aspects, artificial intelligence (AI) and machine learning (ML) are applied to tissue engineering. Decellularization is a very important area where AI supports protocols and ensures the process is repeated identically each time. It also greatly assists in monitoring the extracellular matrix (ECM) to ensure it remains intact. Nonetheless, the use of AI in tissue engineering is not fully discussed in scientific articles. Although based on the tissue used for decellularization these features could vary, to optimize decellularization we need new method to reach high accuracy. In these current days, Pericardium, a double-layered membrane around the heart of mammalians, as a natural ECM has been utilized in cardiac surgery for many years. However, the use of decellularized pericardium as a scaffold for tissue engineering has gained significant attention in recent times, due to its retention strength, flexibility, supports for cell growth and differentiation, etc. That altogether put it among the top choices for tissue engineering and regenerative medicine. In this review we aim to cover the different decellularization methods, application of decellularized pericardium, commercial products that are available and challenges and future direction of this potent therapy.
医学正在努力寻找治疗各种疾病的新方法。组织工程利用合成材料和生物材料培育组织甚至器官的潜力巨大,为彻底治疗打开了一扇新大门。尽管在作为再生医学子类型的组织工程中,去细胞组织是填补以往方法空白的新的、有前景的途径。在生物学领域之外,人工智能(AI)和机器学习(ML)也被应用于组织工程。去细胞化是人工智能支持方案并确保每次过程都能完全重复的一个非常重要的领域。它还极大地有助于监测细胞外基质(ECM)以确保其保持完整。然而,科学文章中并未充分讨论人工智能在组织工程中的应用。尽管根据用于去细胞化的组织不同这些特征可能会有所变化,但为了优化去细胞化,我们需要新的方法来达到高精度。如今,心包作为哺乳动物心脏周围的双层膜,作为一种天然的细胞外基质,已在心脏手术中使用多年。然而,近年来,去细胞化心包作为组织工程支架因其保留强度、柔韧性、对细胞生长和分化的支持等特性而备受关注。这些特性使其成为组织工程和再生医学的首选之一。在这篇综述中,我们旨在涵盖不同的去细胞化方法、去细胞化心包的应用、现有的商业产品以及这种有效疗法面临的挑战和未来方向。