首页|期刊导航|分析测试学报|苯硼酸功能化纳米鱼骨芯片实现肿瘤外泌体高特异性分离分析

苯硼酸功能化纳米鱼骨芯片实现肿瘤外泌体高特异性分离分析OA

Phenylboronic Acid-Functionalized Nano-Herringbone Chip for Highly Specific Separation and Molecular Analysis of Tumor Exosomes

中文摘要英文摘要

胰腺癌的早期精准诊断是提升患者生存率的核心突破口.基于外泌体的液体活检虽展现出巨大潜力并受到广泛关注,但现有血液胰腺癌外泌体分离方法仍面临两大瓶颈:层流微流控芯片内反应效率低下,且缺乏高特异性的肿瘤外泌体蛋白靶标,导致分离特异性和效率严重受限.针对上述挑战,该研究构建了一种苯硼酸功能化的三维纳米鱼骨微流控芯片,利用肿瘤外泌体表面异常高表达的糖基化顺式二醇结构与苯硼酸之间的共价结合,实现对肿瘤外泌体的广谱、高亲和力识别;同时,有序堆积的纳米鱼骨阵列可诱导产生微涡流,突破层流边界层,显著增强外泌体与芯片界面的碰撞与结合效率.结果显示,该芯片对PANC-1、SW1990和PACA-2三种胰腺癌细胞外泌体的捕获效率均达约85%,而正常胰腺细胞hTERT-HPNE外泌体结合极弱,经肽N-糖苷酶F(PNGase F)切除N-糖链的肿瘤外泌体则几乎完全丧失被捕获的能力,确证了芯片的特异性捕获依赖于糖基识别.在此基础上,芯片进一步集成原位酶促荧光信号放大,成功实现了对同一样品中前列腺特异性膜抗原(PSMA)、癌胚抗原(CEA)、黏蛋白-1(MUC-1)、核仁素(NCL)、蛋白酪氨酸激酶-7(PTK7)和上皮细胞黏附分子(EpCAM)六种胰腺癌相关膜蛋白标志物的同步分子分型.六种标志物在肿瘤外泌体中均呈显著高表达,且不同细胞系展现出特征性的表达图谱,表明该芯片具备区分肿瘤与正常来源外泌体以及识别胰腺癌分子亚型的能力.该研究将糖基化学识别、高效流体传质与多靶标分子分型一体化集成,为胰腺癌早期液体活检提供了一种不依赖抗体分离、高特异性、多维信息输出的新技术平台,在胰腺癌临床精准诊断与分子分型中展现出重要的应用前景.

Early and accurate diagnosis of pancreatic cancer represents a pivotal breakthrough for im-proving patient survival.Although exosome-based liquid biopsy has demonstrated immense promise and attracted widespread attention,existing methods for isolating pancreatic cancer exosomes from blood still face two major bottlenecks:low reaction efficiency within laminar-flow microchips and the lack of tumor-specific exosomal protein markers,which severely compromise both separation specific-ity and efficiency.To tackle these limitations,this study developed a phenylboronic acid-functional-ized three-dimensional nano-herringbone microfluidic chip.By exploiting the covalent binding be-tween phenylboronic acid and the aberrantly overexpressed glycosylated cis-diol structures on tumor exosome surfaces,the chip achieves broad-spectrum,high-affinity recognition of tumor-derived exo-somes.Simultaneously,the periodically ordered nano-herringbone array induces microvortices that disrupt the laminar diffusion boundary layer,substantially enhancing the collision and binding effi-ciency between exosomes and the chip interface.The results demonstrated that the chip achieved a capture efficiency of approximately 85%for exosomes derived from three pancreatic cancer cell lines,PANC-1,SW1990,and PACA-2.In stark contrast,exosomes from normal pancreatic hTERT-HPNE cells exhibited minimal binding,and tumor exosomes subjected to PNGase F-mediated N-gly-can cleavage lost nearly all ability to be captured,definitively confirming that the chip's specific cap-ture is dependent on glycan recognition.Building upon this capability,the chip further integrates in situ enzymatic fluorescence signal amplification,successfully enabling simultaneous molecular profil-ing of six pancreatic cancer-associated membrane protein markers prostate-specific membrane antigen(PSMA),carcinoembryonic antigen(CEA),mucin 1(MUC-1),nucleolin(NCL),protein tyro-sine kinase 7(PTK7),and epithelial cell adhesion molecule(EpCAM)within a single sample.All six markers were significantly overexpressed in tumor-derived exosomes,and distinct cell lines dis-played characteristic expression signatures,demonstrating the chip's capacity to distinguish tumor-derived from normal exosomes and to identify pancreatic cancer molecular subtypes.By integrating glycan-based chemical recognition,efficient fluidic mass transport,and multiplexed molecular pro-filing into a unified platform,this study provides a novel,antibody-independent separation,highly specific,and multi-dimensional information-enriched technology for early pancreatic cancer liquid biopsy,exhibiting significant application prospects in the clinical accurate diagnosis and molecular subtyping of pancreatic cancer.

田瑞婷;康倩;张鹏;杨朝勇

上海大学 生命科学学院,上海 200444||上海交通大学医学院附属仁济医院 分子医学研究所,上海 200120上海大学 生命科学学院,上海 200444||上海交通大学医学院附属仁济医院 分子医学研究所,上海 200120上海大学 生命科学学院,上海 200444||上海交通大学医学院附属仁济医院 分子医学研究所,上海 200120上海大学 生命科学学院,上海 200444||上海交通大学医学院附属仁济医院 分子医学研究所,上海 200120||厦门大学 化学化工学院,福建 厦门 361005

化学化工

微流控芯片外泌体液体活检疾病标志物胰腺癌诊断

microfluidic chipexosomeliquid biopsybiomarkerpancreatic cancer

《分析测试学报》 2026 (9)

1924-1932,9

国家自然科学基金资助项目(22374097)

10.12452/j.fxcsxb.26043007

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