• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Saliva Diagnostics for Respiratory Diseases Using an Automated Integrated Platform.
【24h】

Saliva Diagnostics for Respiratory Diseases Using an Automated Integrated Platform.

机译：使用自动集成平台对呼吸系统疾病进行唾液诊断。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The ultimate goal of this study is to explore the possibility of utilizing saliva as a diagnostic fluid for respiratory diseases using an integrated automated platform based on an antibody-based multiplexed protein microarray.;Chapter 1 provides a summary of background knowledge related to this study, including discussions on inflammatory respiratory diseases---asthma and cystic fibrosis, saliva and saliva diagnostics, the six protein biomarkers selected for this study, protein immunoassays and protein microarrays, and the overall design for this study.;Chapter 2 describes the development of an antibody-based multiplexed protein microarray using fiber-optic bundles and polymer microspheres. The performance of the platform was characterized by recombinant human protein standards and blocking buffer. A total of 291 human saliva samples were also tested.;Chapters 3 and 4 analyze the results of saliva samples collected from patients with cystic fibrosis and asthma, respectively. A number of clinical features were collected from patients and healthy subjects for statistical analysis. Levels of proteins were assessed in different groups (patients with different respiratory diseases and healthy subjects) and subgroups (groups of patients with different clinical features) and were correlated with various clinical assessments.;Chapter 5 introduces the development of an automated integrated platform. For point-of-care diagnostics using human saliva for different respiratory diseases, an automated platform that can be used by personnel with minimal training was developed with our collaborators. For clinical applications, different parameters were optimized and the platform was characterized with recombinant human protein standards and blocking buffer.;Chapter 6 focuses on the clinical applications of the automated platform. To demonstrate its utility for point-of-care diagnostics, the platform was deployed at different clinics where hundreds of fresh saliva samples were collected and analyzed. The potential of utilizing these results to assist clinical diagnosis was also evaluated.;Chapter 7 discusses the future work for this study. The limitations of the current study, possible optimizations for this platform, and potential future applications are discussed.;As a whole, this thesis describes the development of an integrated automated platform that enables multiplexed salivary protein profiling for several clinical applications.
机译：这项研究的最终目标是探索使用唾液作为基于抗体的多重蛋白微阵列的集成自动化平台将其用作呼吸系统疾病诊断液的可能性。第一章概述了与这项研究相关的背景知识，包括关于炎症性呼吸系统疾病的讨论-哮喘和囊性纤维化，唾液和唾液诊断，为该研究选择的六种蛋白质生物标志物，蛋白质免疫测定法和蛋白质微阵列以及该研究的总体设计;第二章描述了一种基于抗体的多重蛋白微阵列，使用光纤束和聚合物微球。该平台的性能以重组人蛋白质标准品和封闭缓冲液为特征。还对总共291份人类唾液样本进行了测试。第3章和第4章分别分析了从囊性纤维化和哮喘患者中收集的唾液样本的结果。从患者和健康受试者中收集了许多临床特征以进行统计分析。在不同组（患有不同呼吸道疾病和健康受试者的患者）和亚组（具有不同临床特征的患者组）中评估蛋白质的水平，并将其与各种临床评估相关联。第五章介绍了自动集成平台的开发。对于使用唾液治疗各种呼吸系统疾病的即时诊断，我们与合作者一起开发了一个自动化平台，供受过最少培训的人员使用。对于临床应用，优化了不同的参数，并使用重组人蛋白标准品和封闭缓冲液对平台进行了表征。;第6章重点介绍了自动化平台的临床应用。为了证明其在即时诊断中的实用性，该平台已部署在不同的诊所，在那里收集并分析了数百份新鲜唾液样本。还评估了利用这些结果进行临床诊断的潜力。第7章讨论了该研究的未来工作。讨论了当前研究的局限性，该平台可能的优化以及潜在的未来应用。总的来说，本文描述了集成的自动化平台的开发，该平台能够对多种临床应用进行唾液蛋白多路谱分析。

著录项

  • 作者

    Nie, Shuai.;

  • 作者单位

    Tufts University.;

  • 授予单位 Tufts University.;
  • 学科 Health Sciences Pathology.;Chemistry Analytical.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 263 p.
  • 总页数 263
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号