Rapid Multi-Channel Serum Profiling for Liver Disease using Fluorescent Nanosensors

项目概要/摘要 使用荧光纳米传感器的快速多通道肝病血清分析 肝病的快速诊断对于优化患者预后和最大限度地减少经济影响至关重要。 目前用于检测肝损伤（纤维化/肝硬化）的策略使用昂贵的生物标志物策略 并且难以转化为适合于监测化疗患者的床旁（Point of Care，简称POS）平台 和诊断技术的发展。在初步研究中，我们已经证明了简单的聚合物- 基于传感器阵列可以产生血清“签名”，可用于检测肝纤维化， 本案无关在我们拟议的研究中，我们将： 目的1：制造发夹聚合物-荧光团缀合物，并将其用作传感器元件以提供多个荧光团。 通道输出血清检测。 目标2：将我们的聚合物固定在表面上，以提供适用于临床和 定点护理使用。这些传感器将使用模型血清进行测试和优化。 目标3：应用我们的传感器系统，使用Rosenberg提供的病理样本来分析肝纤维化， 佩维勒这些研究将集中在肝纤维化的检测和分期，使用统计方法 由C.罗泰罗 目的4：使用蛋白质组学和Vachet来表征蛋白质与聚合物传感器的结合， 机制的洞察力和潜在的新生物标志物的纤维化。 该提案的目标是开发用于诊断肝脏疾病的原型传感器系统;有效 实现这一目标将提供战略， states.

Project Summary/Abstract Rapid Multi-Channel Serum Profiling for Liver Disease using Fluorescent Nanosensors Rapid diagnosis of liver disease is crucial to optimizing patient outcome and minimizing economic impact. Current strategies for detecting liver damage (fibrosis/cirrhosis) use biomarker strategies that are expensive and difficult to translate into Point of Care (PoC) platforms suitable for monitoring of chemotherapy patients and diagnostics for the developing world. In preliminary studies we have demonstrated that simple polymer- based sensor arrays can generate serum ‘signatures’ that can be used to detect liver fibrosis with clinical relevance. In our proposed research we will: Aim 1: Fabricate hairpin polymer-fluorophore conjugates and use these as sensor elements to provide multi- channel outputs serum sensing. Aim 2: Immobilize our polymers onto surfaces to provide prototype sensing systems suitable for clinical and point-of-care use. These sensors will be tested and optimized using model sera. Aim 3: Apply our sensor systems to profile liver fibrosis using pathological samples provided by Rosenberg and Peveler. These studies will focus on detection and staging of liver fibrosis, using statistical methods developed by C. Rotello. Aim 4: Use proteomics with Vachet to characterize protein binding to the polymer sensors, providing mechanistic insight and potentially new biomarkers for fibrosis. The goal of this proposal is to develop prototype sensor systems for diagnosis of LIVER disease; effective achievement of this goal would provide strategies that could be translated to numerous additional disease states.