Justin Chen, Shaolei Wang, Kaidong Wang, Parinaz Abiri, Zi-Yu Huang, Junyi Yin, Alejandro M Jabalera, Brian Arianpour, Mehrdad Roustaei, Enbo Zhu, Peng Zhao, Susana Cavallero, Sandra Duarte-Vogel, Elena Stark, Yuan Luo, Peyman Benharash, Yu-Chong Tai, Qingyu Cui, Tzung K Hsiai
The characterization of atherosclerotic plaques to predict their vulnerability to rupture remains a diagnostic challenge. Despite existing imaging modalities, none have proven their abilities to identify metabolically active oxidized low-density lipoprotein (oxLDL), a marker of plaque vulnerability. To this end, we developed a machine learning-directed electrochemical impedance spectroscopy (EIS) platform to analyze oxLDL-rich plaques, with immunohistology serving as the ground truth. We fabricated the EIS sensor by affixing a six-point microelectrode configuration onto a silicone balloon catheter and electroplating the surface with platinum black (PtB) to improve the charge transfer efficiency at the electrochemical interface...
January 2024: Bioengineering & Translational Medicine