Advanced technologies of artery-on-a-chip: a review of construction strategies and disease models

Shi-Qi Chang1, Li Qiao1, Oluwatosin David Abodunrin1

  • 1State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.

Angiogenesis
|February 12, 2026
PubMed

Insights

Artery-on-a-Chip (AoC) platforms offer realistic models of human arteries, overcoming limitations of traditional methods for studying cardiovascular diseases (CVDs). These advanced systems improve drug efficacy evaluation and pave the way for personalized vascular medicine.

Area of Science:

  • Biomedical Engineering
  • Tissue Engineering
  • Microfluidics

Background:

  • Cardiovascular disease (CVD) is a leading global cause of death, often involving arterial abnormalities.
  • Existing animal and 2D cell models inadequately replicate human artery complexity, impacting drug efficacy assessments.
  • Artery-on-a-Chip (AoC) technology emerges as a solution to model arterial physiology and pathology.

Purpose of the Study:

  • To systematically review materials, fabrication, and configurations of AoC platforms.
  • To highlight AoC applications in modeling arterial diseases like atherosclerosis and thrombosis.
  • To discuss design parameters crucial for AoC model fidelity and clinical relevance.

Main Methods:

  • Review of existing literature on Artery-on-a-Chip platforms.
  • Analysis of materials, fabrication techniques, and structural designs.
  • Emphasis on disease modeling capabilities for thrombosis, atherosclerosis, pulmonary hypertension, and aneurysms.

Main Results:

  • AoC platforms integrate microfluidics, tissue engineering, and biomaterials to mimic arterial environments.
  • Key design parameters (ECM, cell origin, shear stress, stretch, stiffness) influence model accuracy.
  • The review details AoC applications in modeling specific cardiovascular pathologies.

Conclusions:

  • AoC systems offer a promising approach to bridge the gap between basic research and clinical translation for CVDs.
  • Future directions include enhancing long-term stability, standardization, and multi-factor integration for predictive models.
  • Development of advanced AoC platforms will accelerate pathophysiological research and therapeutic development for vascular diseases.

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