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Resealable Antithrombotic Artificial Vascular Graft Integrated with a Self-Healing Blood Flow Sensor

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Title
Resealable Antithrombotic Artificial Vascular Graft Integrated with a Self-Healing Blood Flow Sensor
Author(s)
Park, Kijun; Soojung An; Kim, Jihyun; Sungjun Yoon; Jihyang Song; Daekwang Jung; Park, Jae; Lee, Yeontaek; Donghee Son; Seo, Jungmok
Publication Date
2023-04
Journal
ACS Nano, v.17, no.8, pp.7296 - 7310
Publisher
American Chemical Society
Abstract
Coronary artery bypass grafting is commonly used to treat cardiovascular diseases by replacing blocked blood vessels with autologous or artificial blood vessels. Nevertheless, the availability of autologous vessels in infants and the elderly and low long-term patency rate of grafts hinder extensive application of autologous vessels in clinical practice. The biological and mechanical properties of the resealable antithrombotic artificial vascular graft (RAAVG) fabricated herein, comprising a bioelectronic conduit based on a tough self-healing polymer (T-SHP) and a lubricious inner coating, match with the functions of autologous blood vessels. The self-healing and elastic properties of the T-SHP confer resistance against mechanical stimuli and promote conformal sealing of suturing regions, thereby preventing leakage (stable fixation under a strain of 50%). The inner layer of the RAAVG presents antibiofouling properties against blood cells and proteins, and antithrombotic properties, owing to its lubricious coating. Moreover, the blood-flow sensor fabricated using the T-SHP and carbon nanotubes is seamlessly integrated into the RAAVG via self-healing and allows highly sensitive monitoring of blood flow at low and high flow rates (10- and 100 mL min-1, respectively). Biocompatibility and feasibility of RAAVG as an artificial graft were demonstrated via ex vivo, and in vivo experiment using a rodent model. The use of RAAVGs to replace blocked blood vessels can improve the long-term patency rate of coronary artery bypass grafts.
URI
https://pr.ibs.re.kr/handle/8788114/13565
DOI
10.1021/acsnano.2c10657
ISSN
1936-0851
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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