A Proteomic Platform to identify and Validate Biomarkers in Metabolic Syndrome and Coronary Artery Disease

用于识别和验证代谢综合征和冠状动脉疾病生物标志物的蛋白质组学平台

基本信息

  • 批准号:
    8887497
  • 负责人:
  • 金额:
    $ 29.71万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-15 至 2018-08-31
  • 项目状态:
    已结题

项目摘要

Blood plasma/serum has remained a major sample source for the detection of disease biomarker candidates with its easy accessibility and measurable tissue-derived proteins that hold potential to uncover physiological and pathological changes during diseases. Proteomics-based biomarker discovery using plasma/serum, however, is severely limited by the high complexity and dynamic range of protein concentrations (10-12 orders of magnitude). Presently, a majority of plasma/serum proteomic strategies are lack of adequate reproducibility, sensitivity, and robustness for clinical tests. Solutions for these serious technological barriers to develop a reliable detection platform toward clinical implementation are elusive. The long term goal of this project is to establish a robust proteomic platform that is translational, sensitive, and reproducible for biomarker discovery, verification and validation, with an emphasis on the identification and validation of plasma biomarkers for metabolic syndrome and early detection of coronary artery disease (CAD). We propose to develop a distinctive platform based on metal ion functionalized soluble nanopolymers for efficient and selective isolation of subsets of low abundant plasma proteins. We will test this approach by focusing on Ossabaw swine as our model system and will establish protocols that will ultimately provide a powerful method for any biofluid-based biomarker discovery. We propose to profile plasma proteomes as a function of feeding time and to correlate with physiological and pathological parameters over the period in which the Ossabaw swine develop metabolic syndrome. There is an increasingly urgent and strong push of proteomic discoveries to clinical applications. This project is based on a distinctive new concept and once developed, it will dramatically simplify the procedure and enhance our ability to sensitively identify candidate markers. As a consequence, the results of this study will have an important positive impact, not only on the development of novel tools for proteomics-based biomarker discovery, but also toward improving disease therapeutics and facilitating more effective diagnosis.
血浆/血清仍然是检测疾病生物标志物的主要样本来源 候选者具有易于获取和可测量的组织衍生蛋白,有潜力 揭示疾病期间的生理和病理变化。基于蛋白质组学的生物标志物 然而,使用血浆/血清的发现受到高复杂性和动态范围的严重限制 蛋白质浓度(10-12 个数量级)。目前,大多数血浆/血清蛋白质组学 策略缺乏足够的临床试验重现性、灵敏度和稳健性。解决方案 这些严重的技术障碍阻碍了开发可靠的临床检测平台 实施难以捉摸。该项目的长期目标是建立一个强大的蛋白质组平台 对于生物标志物的发现、验证和确认来说,这是可转化的、敏感的和可重复的, 强调代谢综合征血浆生物标志物的鉴定和验证 早期发现冠状动脉疾病(CAD)。我们建议开发一个有特色的平台 金属离子功能化可溶性纳米聚合物,用于高效、选择性地分离低分子量子集 丰富的血浆蛋白。我们将重点关注奥萨巴猪作为我们的模型来测试这种方法 系统并将建立协议,最终为任何基于生物流体的 生物标志物的发现。我们建议将血浆蛋白质组作为喂养时间的函数进行分析,并 与奥萨巴猪生长期间的生理和病理参数相关 出现代谢综合征。蛋白质组学发现的推动力日益迫切和强劲 到临床应用。该项目基于独特的新概念,一旦开发,它将 大大简化了程序并增强了我们灵敏地识别候选标记的能力。 因此,这项研究的结果将产生重要的积极影响,不仅对 开发基于蛋白质组学的生物标志物发现的新工具,同时也致力于改进 疾病治疗并促进更有效的诊断。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(1)

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W. Andy Tao其他文献

Epitope Imprinting of Phospholipids by Oriented Assembly at Oil/Water Interface for the Selective Recognition of Plasma Membranes
  • DOI:
    10.1002/anie.202213938
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
  • 作者:
    Juntao Zhou;Xianhui Cheng;Zhanchen Guo;Muhammad Mujahid Ali;Guiyuan Zhang;W. Andy Tao;Lianghai Hu;Zhen Liu
  • 通讯作者:
    Zhen Liu
Mass spectrometry-based phosphoproteomics in clinical applications
基于质谱的临床应用磷酸化蛋白质组学
  • DOI:
    10.1016/j.trac.2023.117066
  • 发表时间:
    2023-06-01
  • 期刊:
  • 影响因子:
    12.000
  • 作者:
    Xiaofeng Wu;Yi-Kai Liu;Anton B. Iliuk;W. Andy Tao
  • 通讯作者:
    W. Andy Tao
High-throughput capture and in situ protein analysis of extracellular vesicles by chemical probe-based array
基于化学探针阵列的细胞外囊泡高通量捕获与原位蛋白分析
  • DOI:
    10.1038/s41596-024-01082-z
  • 发表时间:
    2024-10-22
  • 期刊:
  • 影响因子:
    16.000
  • 作者:
    Xin Feng;Ao Shen;Wei Zhang;Shengnan Jia;Anton Iliuk;Yuling Wang;Wenke Zhang;Ying Zhang;W. Andy Tao;Lianghai Hu
  • 通讯作者:
    Lianghai Hu
Playing tag with quantitative proteomics
  • DOI:
    10.1007/s00216-008-2386-0
  • 发表时间:
    2008-10-10
  • 期刊:
  • 影响因子:
    3.800
  • 作者:
    Anton Iliuk;Jacob Galan;W. Andy Tao
  • 通讯作者:
    W. Andy Tao

W. Andy Tao的其他文献

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{{ truncateString('W. Andy Tao', 18)}}的其他基金

Developing high throughput measurement of thiopurine in DNA by mass spectrometry
通过质谱法开发 DNA 中硫嘌呤的高通量测量
  • 批准号:
    9909135
  • 财政年份:
    2020
  • 资助金额:
    $ 29.71万
  • 项目类别:
Developing EV surface proteins as biosignatures for Alzheimer's disease (AD)
开发 EV 表面蛋白作为阿尔茨海默病 (AD) 的生物特征
  • 批准号:
    9908966
  • 财政年份:
    2020
  • 资助金额:
    $ 29.71万
  • 项目类别:
Dissecting signaling pathways and seeking EV phosphoproteins as novel biomarkers for Alzheimer's Disease
剖析信号通路并寻找 EV 磷蛋白作为阿尔茨海默病的新型生物标志物
  • 批准号:
    10399815
  • 财政年份:
    2020
  • 资助金额:
    $ 29.71万
  • 项目类别:
Developing novel RPPA for the detection of metastatic prostate cancer
开发新型 RPPA 用于检测转移性前列腺癌
  • 批准号:
    9200292
  • 财政年份:
    2016
  • 资助金额:
    $ 29.71万
  • 项目类别:
A Proteomic Platform to identify and Validate Biomarkers in Metabolic Syndrome and Coronary Artery Disease
用于识别和验证代谢综合征和冠状动脉疾病生物标志物的蛋白质组学平台
  • 批准号:
    9325547
  • 财政年份:
    2015
  • 资助金额:
    $ 29.71万
  • 项目类别:
A Proteomic Platform to identify and Validate Biomarkers in Metabolic Syndrome and Coronary Artery Disease
用于识别和验证代谢综合征和冠状动脉疾病生物标志物的蛋白质组学平台
  • 批准号:
    9144821
  • 财政年份:
    2015
  • 资助金额:
    $ 29.71万
  • 项目类别:
Proteomic differentiation of leukemia cells based on multiplexed arrays and mass
基于多重阵列和质量的白血病细胞的蛋白质组分化
  • 批准号:
    8451922
  • 财政年份:
    2013
  • 资助金额:
    $ 29.71万
  • 项目类别:
New Proteomic Technologies for the Analysis of Tyrosine Kinase Signaling Pathways
用于分析酪氨酸激酶信号通路的蛋白质组学新技术
  • 批准号:
    8537209
  • 财政年份:
    2010
  • 资助金额:
    $ 29.71万
  • 项目类别:
New Proteomic Technologies for the Analysis of Tyrosine Kinase Signaling Pathways
用于分析酪氨酸激酶信号通路的蛋白质组学新技术
  • 批准号:
    8325721
  • 财政年份:
    2010
  • 资助金额:
    $ 29.71万
  • 项目类别:
New Proteomic Technologies for the Analysis of Tyrosine Kinase Signaling Pathways
用于分析酪氨酸激酶信号通路的蛋白质组学新技术
  • 批准号:
    7986538
  • 财政年份:
    2010
  • 资助金额:
    $ 29.71万
  • 项目类别:

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