IMMUNOASSAY FOR HEMOGLOBIN A1C WITH MONOCLONAL ANTIBODY

该项目的长期目标是开发一种简单、具体、 和快速免疫诊断试验测定血红蛋白A1c的含量 人类的红细胞。该测试将是一种使用 特异性识别血红蛋白A1c的单抗，一种指标 对周围环境血糖浓度的定期评估 普遍的血糖水平对于确定和 保持对糖尿病的控制，控制糖尿病是重要的 在阻止糖尿病并发症的发展方面。的中流砥柱 监测糖尿病控制是对血糖的测量 浓度和某些循环蛋白在多大程度上 变成非酶糖化。血红蛋白A1c和糖化血红蛋白 测量被广泛用作客观评估环境的手段 在2-3个月内控制血糖。然而，当前的方法 测量糖化血红蛋白和/或糖化血红蛋白是耗时的， 繁琐、不特定，并且具有不可接受的变异系数。 人们已经意识到，如果有一个 只与血红蛋白A1c反应的单抗是可用的，但 几个实验室多次尝试制造这种抗体 一直不成功。这个项目将利用我们在创建一个 识别成功的独特且高度特异的单抗 在创造一种独特的、高度特异的单抗方面 识别位于血红蛋白A1c中的N末端糖化表位，但 不存在于其他蛋白质中，也不与(未糖化的)血红蛋白反应 Ao，并将利用该抗体开发出可靠和特异的 人血中血红蛋白A1c定量的免疫诊断方法。 GRANT=R43HL44776 使用Imatron C-100 CT扫描仪测量心肌血流量将 为心脏病专家提供更快、更少的诊断工具 具有侵入性，成本更低，分辨率比目前更高 现有研究(铊和正电子发射体层析)已经有24个Imatron 世界各地都在使用扫描仪。这笔赠款建议开发一种心肌 供Imatron扫描仪使用的血流工作站。工作站 将从扫描仪接收图像数据，然后继续分析 独立的。这将有助于扫描仪在临床上的应用 血流研究在很大程度上是通过自动化分析步骤来实现的。这些步骤 包括：图像处理，提高扫描质量，自动配准 扫描、自动检测和消除有问题的扫描， 创建归一化彩色编码的流动图像，可在 电影序列，并创建彩色编码的流动功能图像。在……里面 此外，还会有感兴趣区域和伽马变量曲线拟合 分析工具。在第一阶段，将使用以下工具开发和测试软件 已经有了C-100扫描序列。一群临床心脏病专家 将审查分析包的功能和适用性。 在第二阶段将开始临床测试，并将比较结果 现有的研究成果。

The long term objective of this project is to develop a simple, specific, and rapid immunodiagnostic test to measure the amount of Hemoglobin A1c in human erythrocytes. The test will be an ELISA construct that employs a monoclonal antibody that specifically recognizes Hemoglobin A1c, an index of the ambient blood glucose concentrations over the periodic assessment of the prevailing blood glucose level is essential to establishing and maintaining control of diabetes, and that control of diabetes is important in arresting the development of complications of diabetes. The mainstay of monitoring diabetic control is measurement of the blood glucose concentration and of the extent to which certain circulating proteins have become nonenzymatically glycated. Hemoglobin A1c and Glycohemoglobin measurements are widely used as a means to objectively evaluate ambient glucose control over 2-3 month periods. However, current methods for measuring Glycohemoglobin and/or Hemoglobin A1c are time-consuming, cumbersome, non-specific, and have unacceptable coefficients of variation. It has been appreciated that these problems could be surmounted if a monoclonal antibody that reacts only with Hemoglobin A1c are available, but numerous attempts in several laboratories to create such an antibody have been unsuccessful. This project will exploit our success in creating a unique and highly specific monoclonal antibody that recognizes the success in creating a unique and highly specific monoclonal antibody that recognizes the N-terminal glycated epitopes residing in Hemoglobin A1c but not in other proteins and that does not react with (unglycated) Hemoglobin Ao, and will utilize this antibody to develop a reliable and specific immunodiagnostic method to quantitate Hemoglobin A1c in human blood. GRANt=R43HL44776 Use of the Imatron C-100 CT scanner to measure myocardial blood flow would provide cardiologists with a diagnostic tool which is faster, less invasive, less expensive, and has better resolution than currently available studies (thallium and PET.) There are already 24 Imatron scanners in use worldwide. This grant proposes to develop a myocardial blood flow workstation for use with the Imatron scanner. The workstation will receive image data from the scanner then proceed with the analysis independently. It will facilitate the clinical use of the scanner for blood flow studies by largely automating the analysis steps. These steps include: image processing to improve scan quality, automatic registration of scans, automatic detection and elimination of problematic scans, creation of normalized, color encoded flow images which can be viewed in a cine sequence, and creation of a color encoded flow functional image. In addition there will be region of interest and gamma variate curve fit analysis tools. In Phase I the software will be developed and tested using already available C-100 scan sequences. A group of clinical cardiologists will review the functionality and applicability of the analysis package. In Phase II clinical testing will commence and the results will be compared to existing studies.