2023
DOI: 10.1161/atvbaha.123.318233
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Engineering Organ-on-a-Chip Systems for Vascular Diseases

Amid Shakeri,
Ying Wang,
Yimu Zhao
et al.

Abstract: Vascular diseases, such as atherosclerosis and thrombosis, are major causes of morbidity and mortality worldwide. Traditional in vitro models for studying vascular diseases have limitations, as they do not fully recapitulate the complexity of the in vivo microenvironment. Organ-on-a-chip systems have emerged as a promising approach for modeling vascular diseases by incorporating multiple cell types, mechanical and biochemical cues, and fluid flow in a microscale platform. This review provides an overview of re… Show more

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Cited by 3 publications
(2 citation statements)
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“…Indeed, high-throughput, label-free, live cell imaging of MPS offers the potential to become a foundational tool in future pharmaceutical drug discovery [ 109 ]. In addition, the incorporation of biosensors for readouts in real-time [ 110 , 111 ], as well as the connectors and flow generators in the plates and devices [ 112 , 113 , 114 ], will support the adoption of breast cancer MPS alone or in multi-tissue systems for drug toxicity and efficacy testing in the context of cancer [ 115 , 116 , 117 ].…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, high-throughput, label-free, live cell imaging of MPS offers the potential to become a foundational tool in future pharmaceutical drug discovery [ 109 ]. In addition, the incorporation of biosensors for readouts in real-time [ 110 , 111 ], as well as the connectors and flow generators in the plates and devices [ 112 , 113 , 114 ], will support the adoption of breast cancer MPS alone or in multi-tissue systems for drug toxicity and efficacy testing in the context of cancer [ 115 , 116 , 117 ].…”
Section: Discussionmentioning
confidence: 99%
“…119 These models have not been extensively utilized for vascular and SMC-driven diseases, yet, but the technology exists, and this is a promising direction for future research. 120…”
Section: Use Of Evts For Disease Modelingmentioning
confidence: 99%