Stem-Cell-Driven Chondrogenesis: Perspectives on Amnion-Derived Cells.
Ludovica SulcaneseGiuseppe PrencipeAngelo CancielloAdrián Cerveró-VaronaMonia PeruginiAnnunziata MauroValentina RussoBarbara BarboniPublished in: Cells (2024)
Regenerative medicine harnesses stem cells' capacity to restore damaged tissues and organs. In vitro methods employing specific bioactive molecules, such as growth factors, bio-inductive scaffolds, 3D cultures, co-cultures, and mechanical stimuli, steer stem cells toward the desired differentiation pathways, mimicking their natural development. Chondrogenesis presents a challenge for regenerative medicine. This intricate process involves precise modulation of chondro-related transcription factors and pathways, critical for generating cartilage. Cartilage damage disrupts this process, impeding proper tissue healing due to its unique mechanical and anatomical characteristics. Consequently, the resultant tissue often forms fibrocartilage, which lacks adequate mechanical properties, posing a significant hurdle for effective regeneration. This review comprehensively explores studies showcasing the potential of amniotic mesenchymal stem cells (AMSCs) and amniotic epithelial cells (AECs) in chondrogenic differentiation. These cells exhibit innate characteristics that position them as promising candidates for regenerative medicine. Their capacity to differentiate toward chondrocytes offers a pathway for developing effective regenerative protocols. Understanding and leveraging the innate properties of AMSCs and AECs hold promise in addressing the challenges associated with cartilage repair, potentially offering superior outcomes in tissue regeneration.
Keyphrases
- stem cells
- mesenchymal stem cells
- induced apoptosis
- immune response
- umbilical cord
- cell therapy
- extracellular matrix
- cell cycle arrest
- oxidative stress
- transcription factor
- endoplasmic reticulum stress
- signaling pathway
- bone marrow
- type diabetes
- cell death
- tissue engineering
- skeletal muscle
- cell proliferation
- insulin resistance
- pi k akt
- artificial intelligence
- drug induced