REVIEW article
Front. Med. Technol.
Sec. Regenerative Technologies
Volume 7 - 2025 | doi: 10.3389/fmedt.2025.1503153
This article is part of the Research TopicArtificial Organs, Cell and Tissue Engineering: Progress, Current Challenges, Methods, and Protocols in Regenerative MedicineView all articles
Recent Advances in Pericardium Extracellular Matrix for Tissue Regeneration
Provisionally accepted- 1Kermanshah University of Medical Sciences, Kermanshah, Iran
- 2University of Salento, Lecce, Apulia, Italy
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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.
Keywords: Pericardium, Decellularization, Regeneration, Extracellular Matrix, machine learning
Received: 28 Sep 2024; Accepted: 21 Jul 2025.
Copyright: © 2025 Shariat, Khazaei, Ghanbari, Rashidi and Rezakhani. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Leila Rezakhani, Kermanshah University of Medical Sciences, Kermanshah, Iran
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.