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Biomarker discovery of Alzheimer's disease trajectory using NMR platform

使用 NMR 平台发现阿尔茨海默病轨迹的生物标志物

基本信息

批准号：
10394015
负责人：
Zhandong Liu
金额：
$ 1.08万
依托单位：
BAYLOR COLLEGE OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-01-01 至 2022-12-31
项目状态：
已结题

项目摘要

ABSTRACT In response to the NOT-GM-21-028, we are submitting a supplement to our parent R01 5R01GM120033-05 to fund a summer undergraduate student from Rice University who has been accepted to Baylor College of Medicine Summer Undergraduate Research Training (SMART) program. Within our R01 award, we are developing two powerful new automated algorithms to capture biomarkers of cognitive decline in Alzheimer’s Disease (AD). Both of these tools capitalize on recent developments in machine learning; one of them, NMRQuant, has already been validated on simulated and phantom nuclear magnetic resonance (NMR) data and is ready to be applied to biological samples. We propose to examine the plasma samples obtained from the Texas Alzheimer’s Research and Care Consortium (TARCC), which prospectively collects demographic, environmental, neuropsychosocial, and genetic data along with the biofluid samples, in consecutive 1-year follow-up analyses that track various health outcomes. The undergraduate student will spend 10 weeks in the lab as part of SMART program and will examine 30 AD plasma samples for biomarkers of disease using NMR and our new algorithms. Baylor College of Medicine approved in-lab training of SMART students. Thus, within the lab, the student will learn necessary procedures when dealing with human samples, new technologies such as NMR, and computational analyses. Through the SMART program, the student will expand her academic knowledge and career planning via structured daily seminars. She will also present her progress and data to the lab and to the SMART program. This work will thus bring transformative knowledge to her future career of a physician/scientist.

摘要作为对NOT-GM-21-028的回应，我们提交了对母公司R 01的补充 5 R 01 GM 120033 -05资助莱斯大学的一名暑期本科生，该学生已被录取，贝勒医学院暑期本科生研究培训（SMART）计划。在我们的R 01奖项中，我们正在开发两种强大的新自动化算法，阿尔茨海默病（AD）中认知下降的生物标志物。这两种工具都利用了最近的机器学习的发展;其中之一，NMRQuant，已经在模拟和幻影核磁共振（NMR）数据，并准备应用于生物样品。我们我建议检查从德克萨斯州阿尔茨海默氏症研究和护理联盟获得的血浆样本，（TARCC），前瞻性地收集人口统计学，环境，神经心理社会和遗传数据沿着生物流体样本，在连续1年的随访分析中跟踪各种健康结果。作为SMART计划的一部分，本科生将在实验室度过10周，并将检查30个AD 使用核磁共振和我们的新算法对血浆样本进行疾病生物标志物检测。贝勒医学院 SMART学生的实验室培训。因此，在实验室中，学生将学习必要的程序在处理人体样本时，需要使用核磁共振等新技术和计算分析。通过 SMART计划，学生将通过每天结构化的学习来扩展她的学术知识和职业规划。研讨会等她还将向实验室和SMART计划展示她的进展和数据。这项工作将从而为她未来的医生/科学家职业生涯带来变革性的知识。

项目成果

期刊论文数量（21）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A Role for Progesterone-Regulated sFRP4 Expression in Uterine Leiomyomas.

DOI：
10.1210/jc.2016-4014
发表时间：
2017-09-01
期刊：
The Journal of clinical endocrinology and metabolism
影响因子：
0
作者：
Delaney MA;Wan YW;Kim GE;Creighton CJ;Taylor MG;Masand R;Park A;Valdes C;Gibbons W;Liu Z;Anderson ML
通讯作者：
Anderson ML

A simulation model of neuroprogenitor proliferation dynamics predicts age-related loss of hippocampal neurogenesis but not astrogenesis.