Sensitive phenotyping of serum extracellular vesicles on a SERS-microfluidic platform for early-stage clinical diagnosis of ovarian carcinoma

IF 10.7 1区 生物学 Q1 BIOPHYSICS
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引用次数: 0

Abstract

Ovarian carcinoma (OvCa) poses a severe threat to women's health due to its high mortality rate and lack of efficient early diagnosis approach. There is evidence to suggest that nanosized small extracellular vesicles (sEVs) which carrying cell-specific components from OvCa can serve as potential diagnostic biomarkers. Herein, we reported a Surface-enhanced Raman Scattering (SERS)-multichannel microchip for sEVs (S-MMEV) assay to investigate the phenotype changes of sEVs. The microchip composed of seven microchannels, which enabled the parallel detection of multiple biomarkers to improve the detection accuracy. Using SERS probes conjugated with antibodies recognizing different biomarkers including ubiquitous EV biomarkers (i.e., tetraspanins; CD9, CD81) and putative OvCa tumor biomarkers (i.e. EpCAM, CD24, CA125, EGFR), we successfully analyzed the phenotypic changes of sEVs and accurately differentiated OvCa patients from healthy controls, even at early stage (I-II), with high sensitivity, high specificity and an area under the curve value of 0.9467. Additionally, the proposed approach exhibited higher sensitivity than conventional methods, demonstrating the efficiency of precise detection from cell culture and clinical samples. Collectively, the developed EV phenotyping approach S-MMEV could serve as a potential tool to achieve the early clinical diagnosis of OvCa for further precise diagnosis and personal treatment monitoring.

在 SERS 微流控平台上对血清细胞外囊泡进行灵敏表型分析,用于卵巢癌的早期临床诊断
卵巢癌(OvCa)因其高死亡率和缺乏有效的早期诊断方法而对妇女健康构成严重威胁。有证据表明,携带卵巢癌细胞特异性成分的纳米级细胞外小泡(sEVs)可作为潜在的诊断生物标记物。在此,我们报告了一种表面增强拉曼散射(SERS)-多通道小囊泡芯片(S-MMEV)检测方法,以研究小囊泡的表型变化。该芯片由七个微通道组成,可同时检测多种生物标记物,从而提高了检测精度。SERS 探针与识别不同生物标志物的抗体连接,这些生物标志物包括无处不在的 EV 生物标志物(即我们成功地分析了 sEVs 的表型变化,并准确地区分了卵巢癌患者和健康对照组,即使是在早期(I-II 期),灵敏度高、特异性高,曲线下面积值为 0.9467。此外,与传统方法相比,该方法具有更高的灵敏度,证明了从细胞培养和临床样本中进行精确检测的效率。总之,所开发的 EV 表型分析方法 S-MMEV 可作为实现卵巢癌早期临床诊断的潜在工具,用于进一步精确诊断和个人治疗监测。
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来源期刊
Biosensors and Bioelectronics
Biosensors and Bioelectronics 工程技术-电化学
CiteScore
20.80
自引率
7.10%
发文量
1006
审稿时长
29 days
期刊介绍: Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.
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