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

使用荧光纳米传感器对肝病进行快速多通道血清分析

基本信息

批准号：
9886045
负责人：
VINCENT M. ROTELLO
金额：
$ 34.32万
依托单位：
UNIVERSITY OF MASSACHUSETTS AMHERST
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-02-01 至 2024-01-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9886045
关键词：
Achievement Antibodies Binding Proteins Biological Markers Biopsy Cessation of life Chemicals Cirrhosis Clinical Collaborations Complex Complex Mixtures Coupled Data Analyses Detection Devices Diagnosis Diagnostic Disease Early Diagnosis Elements Engineering Fibrosis Funding Generations Goals Health Immobilization Lateral Liquid substance Liver Liver Fibrosis Liver diseases Microfluidic Microchips Modeling Monitor Nose Output Pathologic Pathology Patient Monitoring Patient-Focused Outcomes Patients Pattern Polymers Proteins Proteome Proteomics Regimen Reproducibility Research Response to stimulus physiology Sampling Serum Signal Transduction Staging Statistical Data Interpretation Statistical Methods Structure Surface Symptoms System Technology Testing Tongue Translating Vertebral column Western World base chemical function chemotherapy clinically relevant data tools disease diagnosis economic impact experience flexibility fluorophore global health insight liver injury mortality nanosensors point of care point-of-care diagnostics premature prognostic prototype rapid detection rapid diagnosis ratiometric receptor scaffold sensor specific biomarkers

项目摘要

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.

项目概要/摘要使用荧光纳米传感器对肝病进行快速多通道血清分析肝病的快速诊断对于优化患者治疗效果和最大程度地减少经济影响至关重要。目前检测肝损伤（纤维化/肝硬化）的策略使用昂贵的生物标志物策略且难以转化为适合监测化疗患者的护理点 (PoC) 平台在初步研究中，我们已经证明了简单的聚合物- 基于传感器阵列可以生成血清“特征”，可用于临床检测肝纤维化在我们提出的研究中，我们将：目标 1：制造发夹聚合物荧光团缀合物，并将其用作传感器元件，以提供多种通道输出血清传感。目标 2：将我们的聚合物固定到表面上，以提供适用于临床和应用的原型传感系统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这些研究将侧重于使用统计方法对肝纤维化进行检测和分期。由 C. Rotello 开发。目标 4：使用 Vachet 的蛋白质组学来表征蛋白质与聚合物传感器的结合，提供纤维化的机制见解和潜在的新生物标志物。该提案的目标是开发用于有效诊断肝脏疾病的原型传感器系统；实现这一目标将提供可转化为许多其他疾病的策略州。