Bioengineering Graduate Program, University of Notre Dame, Notre Dame, IN, 46556, USA.
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA.
Small. 2022 Jul;18(28):e2201330. doi: 10.1002/smll.202201330. Epub 2022 Jun 7.
Current biomarkers for myocardial infarction (MI) diagnosis are typically late markers released upon cell death, incapable of distinguishing between ischemic and reperfusion injury and can be symptoms of other pathologies. Circulating microRNAs (miRNAs) have recently been proposed as alternative biomarkers for MI diagnosis; however, detecting the changes in the human cardiac miRNA profile during MI is extremely difficult. Here, to study the changes in miRNA levels during acute MI, a heart-on-chip model with a cardiac channel, containing human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes in human heart decellularized matrix and collagen, and a vascular channel, containing hiPSC-derived endothelial cells, is developed. This model is exposed to anoxia followed by normoxia to mimic ischemia and reperfusion, respectively. Using a highly sensitive miRNA biosensor that the authors developed, the exact same increase in miR-1, miR-208b, and miR-499 levels in the MI-on-chip and the time-matched human blood plasma samples collected before and after ischemia and reperfusion, is shown. That the surface marker profile of exosomes in the engineered model changes in response to ischemic and reperfusion injury, which can be used as biomarkers to detect MI, is also shown. Hence, the MI-on-chip model developed here can be used in biomarker discovery.
目前用于心肌梗死 (MI) 诊断的生物标志物通常是细胞死亡时释放的晚期标志物,无法区分缺血和再灌注损伤,并且可能是其他病理学的症状。循环 microRNAs (miRNAs) 最近被提议作为 MI 诊断的替代生物标志物;然而,检测 MI 期间人类心脏 miRNA 谱的变化极其困难。在这里,为了研究 miRNA 水平在急性 MI 期间的变化,开发了一种带有心脏通道的心脏芯片模型,该模型包含在人去细胞化基质和胶原中的人诱导多能干细胞 (hiPSC) 衍生的心肌细胞,以及一个包含 hiPSC 衍生的内皮细胞的血管通道。该模型经历缺氧,随后是正常氧,分别模拟缺血和再灌注。使用作者开发的高度敏感的 miRNA 生物传感器,在 MI 芯片和缺血及再灌注前后采集的时间匹配的人血浆样本中均显示 miR-1、miR-208b 和 miR-499 水平的确切相同增加。还表明,工程模型中细胞外体的表面标志物谱对缺血和再灌注损伤有反应,可以用作检测 MI 的生物标志物。因此,这里开发的 MI 芯片模型可用于生物标志物的发现。