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Experimental and computational models for tissue-engineered heart valves: a narrative review
Ge Yan1, Yuqi Liu1, Minghui Xie1
1Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Biomaterials Translational
|July 15, 2022
Summary
Tissue-engineered heart valves offer advantages over traditional prosthetics. This review examines animal, bioreactor, and simulation models crucial for developing better tissue-engineered heart valves.
Area of Science:
- Biomedical Engineering
- Regenerative Medicine
- Cardiovascular Research
Background:
- Valvular heart disease affects many globally, necessitating prosthetic valve replacements.
- Tissue-engineered heart valves (TEHVs) show promise as ideal substitutes due to regeneration potential and reduced risks.
- Optimizing TEHV structure and function requires robust evaluation models.
Purpose of the Study:
- To review current animal, bioreactor, and computational simulation models for TEHV evaluation.
- To identify key factors influencing the selection and design of TEHV testing models.
- To propose strategies for advancing TEHV development through improved modeling.
Main Methods:
- Comprehensive literature review of existing TEHV testing models.
- Analysis of advantages and disadvantages of various in vivo and in vitro models.
- Synthesis of findings to guide future TEHV research and development.
Main Results:
- Different models (animal, bioreactor, computational) offer unique insights into TEHV performance.
- Model selection critically impacts the assessment of TEHV remodeling, regeneration, and growth potential.
- Current models require further refinement for accurate prediction of clinical TEHV efficacy.
Conclusions:
- Effective evaluation models are essential for the successful development of tissue-engineered heart valves.
- Future research must focus on optimizing animal models and in vitro testing systems.
- Advancing TEHV technology relies on continued innovation in model development and validation.
