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首页> 外文期刊>Analytical and bioanalytical chemistry >Ultrasensitive microfluidic array for serum pro-inflammatory cytokines and C-reactive protein to assess oral mucositis risk in cancer patients
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Ultrasensitive microfluidic array for serum pro-inflammatory cytokines and C-reactive protein to assess oral mucositis risk in cancer patients

机译:用于血清促炎细胞因子和C反应蛋白的超灵敏微流控阵列评估癌症患者口腔粘膜炎的风险

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摘要

In addition to disease diagnostics, there is a need for biomarkers to predict severity of cancer therapy side effects such as oral mucositis. Oral mucositis is an inflammatory lesion of oral mucosa caused by high-dose chemotherapy and/or radiation that is especially prevalent during oral cancer treatment. We describe here a semi-automated, modular microfluidic immunoarray optimized for ultrasensitive detection of pro-inflammatory cytokines involved in pathobiology of oral mucositis. Our goal is to methodologically identify risk of mucositis early in oral cancer treatment, before the onset of lesions. Biomarkers include tumor necrosis factor alpha (TNF-alpha), interleukin-6 (IL-6), interleukin-1 beta (IL-1 beta), and C-reactive protein (CRP). Protein analytes were captured from serum in a capture chamber by 1-mu m magnetic beads coated with antibodies and enzyme labels. Beads are then transported downstream to a detection chamber containing an eight-sensor array coated with glutathione-coated gold nanoparticles (GSH-AuNP) and a second set of antibodies to capture the beads with analyte proteins. In this first application of the immunoarray to four-protein multiplexed measurements, ultralow detection limits of 10-40 fg mL(-1) in 5 mu L serum were achieved for simultaneous detection in 30 min. Mass detection limits were 2.5-10 zmol, as few as 1500 molecules. Accuracy and diagnostic utility of the arrays were demonstrated by correlation of levels of the four biomarker proteins in serum from head and neck cancer patients with results from standard ELISA. This approach may lead to rapid, low-cost estimates of projected risk for severity of oral mucositis in cancer patients to enable improved therapeutic management.
机译:除了疾病诊断之外,还需要生物标志物来预测癌症治疗副作用(如口腔粘膜炎)的严重程度。口腔粘膜炎是高剂量化学疗法和/或放射引起的口腔粘膜炎性病变,在口腔癌治疗期间尤其普遍。我们在这里描述了一种半自动化,模块化的微流控免疫阵列,该阵列优化用于涉及口腔粘膜炎病理生物学的促炎细胞因子的超灵敏检测。我们的目标是在病变发生之前,从口腔癌症治疗的早期方法学上确定粘膜炎的风险。生物标记包括肿瘤坏死因子α(TNF-alpha),白介素6(IL-6),白介素1 beta(IL-1 beta)和C反应蛋白(CRP)。在被捕获室中的血清中,通过涂有抗体和酶标记物的1μm磁珠从血清中捕获蛋白质分析物。然后将珠子向下游运输到一个检测室,该检测室包含一个涂有谷胱甘肽涂层的金纳米颗粒(GSH-AuNP)的八传感器阵列和第二组抗体,以用分析物蛋白捕获珠子。在此免疫阵列对四蛋白质复合测量的首次应用中,在30分钟内实现了5μL血清中10-40 fg mL(-1)的超低检测限。质量检测极限为2.5-10 zmol,少至1500个分子。通过头颈部癌患者血清中四种生物标志物蛋白水平与标准ELISA结果的相关性,证明了阵列的准确性和诊断实用性。这种方法可能导致对癌症患者口腔粘膜炎严重程度的预计风险进行快速,低成本的估计,从而改善治疗管理。

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