Engineering etiology-aligned in vitro models of human vessels

Qi Li1,2,3, Jiaxin Lin4, Wenyu Zou4

  • 1School of Engineering, Hangzhou Normal University, Hangzhou, 311121, People's Republic of China. lqhznu@hznu.edu.cn.

Insights

Developing human-relevant vascular models is crucial for understanding diseases. This review presents a framework linking disease causes to in vitro systems for better research and precision therapies.

Area of Science:

  • Biomedical Engineering
  • Translational Medicine
  • Vascular Biology

Background:

  • Vascular diseases represent a significant global health challenge.
  • Traditional animal models inadequately replicate human-specific disease mechanisms.
  • Policy changes necessitate the development of human-relevant vascular research platforms.

Purpose of the Study:

  • To introduce an etiology-to-model framework for vascular diseases.
  • To map principal vascular disease classes to suitable in vitro systems.
  • To guide the development of predictive human-relevant vascular models.

Main Methods:

  • Categorization of vascular diseases into six etiological classes.
  • Evaluation of various in vitro systems including 2D assays, organoids, organ-on-chip, tissue-engineered grafts, and bioprinted vessels.
  • Assessment of how these models recapitulate structural, cellular, and hemodynamic features of human vascular pathology.

Main Results:

  • The framework links six vascular disease classes (congenital, metabolic, neoplastic, inflammatory, degenerative, risk factor-induced) to specific in vitro models.
  • Different in vitro platforms (2D, organoids, organ-on-chip, engineered grafts, bioprinted vessels) capture distinct aspects of vascular pathology.
  • The primary challenge lies in model validation against disease-specific benchmarks and integrating complexity with reproducibility.

Conclusions:

  • An etiology-to-model framework aids in selecting and designing appropriate human-relevant vascular platforms.
  • Validation and integration of biological complexity are key to advancing predictive vascular modeling.
  • This approach supports accelerated mechanistic insight and precision therapy development for vascular diseases.

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