TRD 2: Metabolic Markers

TRD 2：代谢标志物

• 批准号: 10614610
• 负责人: Richard Anthony Edward Edden
• 金额: $ 19.69万
• 依托单位: HUGO W. MOSER RES INST KENNEDY KRIEGER
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10614610
• 关键词: Affect; Anatomy; Antioxidants; Binding; Biochemical; Biochemistry; Biological Markers; Brain; Brain Chemistry; Brain imaging; Chemicals; Collaborations; Communities; Coupling; Data; Data Analyses; Data Set; Decision Making; Detection; Development; Diagnosis; Diffusion Magnetic Resonance Imaging; Disease; Fingerprint; Functional Magnetic Resonance Imaging; Glutamates; Glutathione; Image; Immobilization; Label; Lead; Libraries; Machine Learning; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Magnetism; Measurement; Measures; Metabolic; Metabolic Marker; Methods; Modeling; Molecular; Monitor; N-acetylaspartylglutamate; Neuromodulator; Neurotransmitters; Oncology; Phosphocreatine; Physiologic pulse; Physiological; Preparation; Principal Investigator; Property; Proteins; Protons; Radiology Specialty; Relaxation; Reproducibility; Research Personnel; Resolution; Resources; Schedule; Scheme; Services; Shapes; Signal Transduction; Specificity; System; Techniques; Testing; Training; Validation; Water; amplification detection; base editing; brain abnormalities; brain metabolism; deep learning; design; detection sensitivity; gamma-Aminobutyric Acid; improved; innovation; interest; macromolecule; metabolic imaging; nervous system disorder; open source; professor; response; small molecule; spectroscopic imaging; statistics; synergism; tool

TRD 2: Metabolic Markers Lead Principal investigator: Richard Edden, Professor of Radiology Co-investigators: Peter van Zijl, Peter Barker, Georg Oeltzschner, Jiadi Xu, Hye-Young Heo, Nirbhay Yadav. This TRD will develop biomarkers of brain metabolism, using magnetic resonance spectroscopy (MRS) and chemical exchange-saturation transfer imaging (CEST-MRI). We will develop new editing schedules for multiplexed editing MRS, allowing the simultaneous resolution of several low-concentration metabolites of interest to collaborative projects, including neurotransmitters such as GABA, antioxidants such as glutathione, and neuromodulators such as N- acetylaspartylglutamate. We will combine these methods with spectroscopic imaging readouts and develop multi-spectrum linear combination modeling approached for quantification. Edited CEST approaches, tuning acquisition parameters to improve specificity of detection, CEST fingerprinting, and single-shot z-spectrum approaches will be developed. Deep learning tools for the analysis of these data will also be developed, with a particular focus on the integration of methods, and spectral resolution enhancement and metabolic editing by MRSI-based training of CEST analyses. Acquisition and analysis tools developed under this TRD will be disseminated to collaborative projects and service projects, to establish reproducibility in a new setting, and to the broader community.

TRD2：代谢标记物 首席研究员：理查德·埃登，放射学教授 共同调查人员：Peter van Zijl，Peter Barker，Georg Oeltzschner，Jiadi Xu，Hye-Young Heo， 尼尔巴伊·亚达夫。 这项研究将利用磁共振波谱技术开发大脑新陈代谢的生物标记物。 (MRS)和化学交换饱和转移成像(CEST-MRI)。我们将开发新的 编辑多路复用编辑MRS的计划，允许同时解决多个问题 合作项目感兴趣的低浓度代谢物，包括神经递质 如GABA，抗氧化剂如谷胱甘肽，以及神经调节剂，如N- 乙酰天冬氨酸谷氨酸。我们将把这些方法与光谱成像读数结合起来。 并发展了多光谱线性组合建模方法进行定量化。编辑过的 CEST方法，调整采集参数以提高检测的特异性，CEST 将开发指纹识别和单次Z-光谱方法。深度学习工具 对于这些数据的分析也将制定，并特别注重整合 方法，以及基于MRSI的光谱分辨率增强和代谢编辑 CEST分析的培训。根据这项TRD开发的获取和分析工具将是 传播到协作项目和服务项目，以在新的 环境，以及更广泛的社区。