Hsu Chen Cheng, Wang Erick, Lee Tsung-Han, Huang Cheng-Chieh, Tai Chun-San, Lin Yan-Ren, Chen Wen-Liang
Department of Emergency and Critical Care Medicine, Changhua Christian Hospital, Changhua 50006, Taiwan.
Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
Biosensors (Basel). 2025 Apr 20;15(4):264. doi: 10.3390/bios15040264.
The rapid identification of stroke is critical to improving stroke patient outcomes. Existing protocols for assessing the risk of stroke are subjective and may be further complicated by nonspecific symptoms, increasing the risk of misdiagnosis. Neuron-specific enolase (NSE) has emerged as a promising stroke biomarker. However, current detection methods such as the electrochemiluminescence immunoassay (ECLIA) are time-consuming and costly. In this research, we developed an electrochemical biosensor for the rapid quantification of NSE in whole blood. Mouse stroke models were established, and blood samples collected were analyzed using both hospital-standard ECLIA as well as the biosensor. The biosensor limit of detection was 1.15 ng/mL. NSE measurements were highly correlated between the two methods and were obtained in 5 min using 20 μL of unprocessed whole blood samples. Notably, the biosensor could accurately quantify elevated blood NSE blood that was associated with more severe stroke. Our results demonstrate the utility of the proposed biosensor in pre-hospital settings. Combined with existing stroke assessment methods, the biosensor may enable emergency personnel to identify stroke risk with greater accuracy to optimize the chances of receiving necessary treatment within the effective window.
快速识别中风对于改善中风患者的预后至关重要。现有的中风风险评估方案具有主观性，且可能因非特异性症状而进一步复杂化，增加误诊风险。神经元特异性烯醇化酶（NSE）已成为一种有前景的中风生物标志物。然而，当前的检测方法，如电化学发光免疫分析（ECLIA），耗时且成本高。在本研究中，我们开发了一种用于快速定量全血中NSE的电化学生物传感器。建立了小鼠中风模型，并使用医院标准的ECLIA以及该生物传感器对采集的血样进行分析。该生物传感器的检测限为1.15 ng/mL。两种方法测得的NSE结果高度相关，使用20 μL未处理的全血样本在5分钟内即可获得结果。值得注意的是，该生物传感器能够准确量化与更严重中风相关的血液中升高的NSE。我们的结果证明了所提出的生物传感器在院前环境中的实用性。与现有的中风评估方法相结合，该生物传感器可使急救人员更准确地识别中风风险，以优化在有效时间窗内接受必要治疗的机会。
