Suppr超能文献

将手机成像与微芯片 ELISA 集成,用于在即时护理点检测尿液中的卵巢癌 HE4 生物标志物。

Integration of cell phone imaging with microchip ELISA to detect ovarian cancer HE4 biomarker in urine at the point-of-care.

机构信息

Demirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Harvard-MIT Health Sciences and Technology, Cambridge, MA 02139, USA.

出版信息

Lab Chip. 2011 Oct 21;11(20):3411-8. doi: 10.1039/c1lc20479c. Epub 2011 Sep 1.

Abstract

Ovarian cancer is asymptomatic in the early stages and most patients present with advanced levels of disease. The lack of cost-effective methods that can achieve frequent, simple and non-invasive testing hinders early detection and causes high mortality in ovarian cancer patients. Here, we report a simple and inexpensive microchip ELISA-based detection module that employs a portable detection system, i.e., a cell phone/charge-coupled device (CCD) to quantify an ovarian cancer biomarker, HE4, in urine. Integration of a mobile application with a cell phone enabled immediate processing of microchip ELISA results, which eliminated the need for a bulky, expensive spectrophotometer. The HE4 level detected by a cell phone or a lensless CCD system was significantly elevated in urine samples from cancer patients (n = 19) than healthy controls (n = 20) (p < 0.001). Receiver operating characteristic (ROC) analyses showed that the microchip ELISA coupled with a cell phone running an automated analysis mobile application had a sensitivity of 89.5% at a specificity of 90%. Under the same specificity, the microchip ELISA coupled with a CCD had a sensitivity of 84.2%. In conclusion, integration of microchip ELISA with cell phone/CCD-based colorimetric measurement technology can be used to detect HE4 biomarker at the point-of-care (POC), paving the way to create bedside technologies for diagnostics and treatment monitoring.

摘要

卵巢癌在早期阶段无症状,大多数患者就诊时已处于疾病晚期。由于缺乏经济有效的方法来实现频繁、简单和非侵入性的检测,这阻碍了早期检测,导致卵巢癌患者死亡率居高不下。在这里,我们报告了一种简单且廉价的基于微芯片 ELISA 的检测模块,该模块采用了便携式检测系统,即手机/电荷耦合器件 (CCD),以定量检测尿液中的卵巢癌生物标志物 HE4。将移动应用程序与手机集成,可即时处理微芯片 ELISA 结果,从而无需使用体积庞大、昂贵的分光光度计。与健康对照组(n = 20)相比,癌症患者(n = 19)尿液样本中的 HE4 水平明显升高(p < 0.001)。受试者工作特征(ROC)分析表明,与运行自动分析移动应用程序的手机相结合的微芯片 ELISA 的灵敏度为 89.5%,特异性为 90%。在相同的特异性下,与 CCD 结合的微芯片 ELISA 的灵敏度为 84.2%。总之,将微芯片 ELISA 与基于手机/CCD 的比色测量技术集成,可以用于在床边即时检测 HE4 生物标志物,为创建用于诊断和治疗监测的床边技术铺平了道路。

相似文献

引用本文的文献

本文引用的文献

9
Ovarian cancer.卵巢癌
Lancet. 2009 Oct 17;374(9698):1371-82. doi: 10.1016/S0140-6736(09)61338-6. Epub 2009 Sep 28.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验