Beehive-Inspired Macroporous SERS Probe for Cancer Detection through Capturing and Analyzing Exosomes in Plasma
Beehive-Inspired Macroporous SERS Probe for Cancer Detection through Capturing and Analyzing Exosomes in Plasma
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DOI：
10.1021/acsami.9b21333
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发表时间：
2020-01-29
影响因子：
9.5
通讯作者：
Xiao, Xiangheng
中科院分区：
文献类型：
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作者：
Dong, Shilian;Wang, Yuhui;Xiao, Xiangheng
外泌体的蛋白磷酸化状态可以调节与癌症发生相关的蛋白的活性和功能，通过分析蛋白磷酸化状态来诊断癌症是非常可能的。然而，用简单且无标记的方法监测蛋白磷酸化状态在临床上仍然具有挑战性。在这里，受蜂箱的启发，我们开发了一种Au涂层的TiO 2大孔反蛋白石（MIO）结构，具有工程“慢光效应”，因此具有出色的表面增强拉曼散射（Sers）性能。MIO结构可以捕获和分析来自癌症患者血浆的外泌体，而无需任何标记过程。结果发现，在1087 cm（-1）处的外泌体的Sers强度产生的磷蛋白内的P-O键可以作为一个标准，肿瘤液体活检。从癌症患者（前列腺、肺、肝和结肠）血浆中提取的外泌体的1087 cm（-1）Sers峰的强度至少是健康人的两倍。这表明该方法在癌症诊断中的简单性和通用性。我们的方法具有明显的优势（无创和节省时间），目前临床上使用的肿瘤液体活检技术（如蛋白质印迹），这有很大的潜力，使体外癌症诊断/监测一样简单的诊断/监测常见疾病。
The protein phosphorylation status of exosomes can regulate the activity and function of proteins related to cancer development, and it is highly possible to diagnose cancers through analyzing the protein phosphorylation status. However, monitoring the protein phosphorylation status with a simple and label-free method is still clinically challenging. Here, inspired by beehives, we developed an Au-coated TiO2 macroporous inverse opal (MIO) structure with an engineered "slow light effect" and thus with outstanding surface-enhanced Raman scattering (SERS) performance. The MIO structure can capture and analyze the exosomes from plasma of cancer patients without any labeling processes. It was found that the SERS intensity of exosomes at 1087 cm(-1) arising from the P-O bond within the phosphoproteins can be used as a criterion for tumor liquid biopsies. The intensity of the 1087 cm(-1) SERS peak from exosomes extracted from the plasma of cancer patients (prostate, lung, liver, and colon) is at least two times of that from healthy people. This indicates the simplicity and versatility of this method in cancer diagnostics. Our method has obvious advantages (noninvasive and time-saving) over currently clinically used tumor liquid biopsy techniques (such as western blot), which has great potentials to make vitro cancer diagnostics/monitoring as simple as diagnostics/monitoring of common diseases.