Department of Physics and Astronomy, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada.
Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230088, China.
Sensors (Basel). 2017 Dec 17;17(12):2934. doi: 10.3390/s17122934.
Cardiovascular disease (CVD) and cancer are two leading causes of death worldwide. CVD and cancer share risk factors such as obesity and diabetes mellitus and have common diagnostic biomarkers such as interleukin-6 and C-reactive protein. Thus, timely and accurate diagnosis of these two correlated diseases is of high interest to both the research and healthcare communities. Most conventional methods for CVD and cancer biomarker detection such as microwell plate-based immunoassay and polymerase chain reaction often suffer from high costs, low test speeds, and complicated procedures. Recently, lab-on-a-chip (LoC)-based platforms have been increasingly developed for CVD and cancer biomarker sensing and analysis using various molecular and cell-based diagnostic biomarkers. These new platforms not only enable better sample preparation, chemical manipulation and reaction, high-throughput and portability, but also provide attractive features such as label-free detection and improved sensitivity due to the integration of various novel detection techniques. These features effectively improve the diagnostic test speed and simplify the detection procedure. In addition, microfluidic cell assays and organ-on-chip models offer new potential approaches for CVD and cancer diagnosis. Here we provide a mini-review focusing on recent development of LoC-based methods for CVD and cancer diagnostic biomarker measurements, and our perspectives of the challenges, opportunities and future directions.
心血管疾病(CVD)和癌症是全球两大主要死亡原因。CVD 和癌症具有共同的风险因素,如肥胖和糖尿病,并且具有共同的诊断生物标志物,如白细胞介素 6 和 C 反应蛋白。因此,及时准确地诊断这两种相关疾病对研究和医疗保健界都具有重要意义。大多数用于 CVD 和癌症生物标志物检测的传统方法,如微孔板基于免疫测定和聚合酶链反应,往往存在成本高、检测速度慢和操作复杂等问题。最近,基于芯片实验室(LoC)的平台已经越来越多地被开发出来,用于使用各种分子和基于细胞的诊断生物标志物来进行 CVD 和癌症生物标志物的传感和分析。这些新平台不仅能够更好地进行样品制备、化学操作和反应、实现高通量和便携性,而且由于集成了各种新型检测技术,还提供了无标记检测和提高灵敏度等有吸引力的功能。这些功能有效地提高了诊断测试速度并简化了检测程序。此外,微流控细胞分析和类器官芯片模型为 CVD 和癌症诊断提供了新的潜在方法。在这里,我们提供了一个小型综述,重点介绍了基于 LoC 的方法在 CVD 和癌症诊断生物标志物测量方面的最新进展,以及我们对挑战、机遇和未来方向的看法。
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