杭州师范大学×浙江大学×西湖大学合作Cell子刊:生物打印“会生病”的人工动脉
生物世界·2025-11-18 04:05

Core Insights - The article discusses a groundbreaking study on cardiovascular disease, highlighting the limitations of existing laboratory models in accurately replicating the complex environment of human arteries [2][5] - The research introduces a novel extrusion-on-demand (EoD) bioprinting technology that creates arterial models with micron-level structural fidelity and customizable macro geometries, enabling better understanding of vascular disease mechanisms and personalized treatment approaches [3][8] Summary by Sections Research Background - Cardiovascular disease is the leading cause of death globally, yet research has been hindered by inadequate laboratory models that fail to replicate the intricate interactions involved in vascular diseases [2] - Current models are either overly simplified (2D) or lack the necessary structural and functional complexity (3D), leading to unresolved mechanisms and ineffective drug trials [2] Technological Innovation - The EoD bioprinting technology developed in this study allows for the construction of arterial models that accurately reflect the microenvironment of vascular diseases, including specific gene/protein expressions that enhance endothelial function and barrier integrity [5][6] - This technology bridges the gap between simplified in vitro systems and the complex in vivo environments, providing a biomimetic platform for disease mechanism analysis and therapy evaluation [5][9] Key Findings - The printed arterial models successfully replicate hallmark processes of vascular diseases, such as endothelial dysfunction, immune cell infiltration, and foam cell formation under physiologically relevant flow and inflammatory conditions [8][9] - The response of these models to drugs mirrors in vivo results, establishing their value for preclinical testing and therapeutic discovery [8] Implications for Future Research - This research not only presents a sophisticated vascular model but also offers a blueprint for engineering complex disease environments, paving the way for decoding vascular disease progression, identifying therapeutic targets, and accelerating precision medicine [9]