Establishing translational neuroimaging tools for quantitative assessment of energy metabolism and metabolic reprogramming in healthy and diseased human brain at 7T
Establishing translational neuroimaging tools for quantitative assessment of energy metabolism and metabolic reprogramming in healthy and diseased human brain at 7T
批准号:
10714863
负责人:
Wei Chen
金额:
$63.02万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-06-01 至 2028-05-31
关键词:
ATP phosphohydrolaseAdenosine TriphosphateAffectAgingAreaBiochemicalBioenergeticsBiomedical ResearchBrainBrain DiseasesBrain NeoplasmsBrain imagingCell RespirationCerebrovascular CirculationCerebrumCitric Acid CycleClinicalClinical ResearchCollaborationsComplexConsumptionCreatine KinaseDeuteriumDiagnosisDiseaseEnergy MetabolismEnergy Metabolism PathwayEngineeringFDA approvedFaceGlucoseGlycolysisGoalsHealthHomeostasisHumanImageImaging DeviceImaging TechniquesLeadershipLifeMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMalignant NeoplasmsMapsMeasurementMeasuresMental disordersMetabolicMetabolic PathwayMethodsMitochondriaMonitorMotorNMR SpectroscopyNeurodegenerative DisordersNeuronsNeurosciences ResearchNicotinamide adenine dinucleotideNoiseNuclearOxidation-ReductionOxidative PhosphorylationOxygenOxygen ConsumptionPathway interactionsPatientsPerformancePhosphorusPhysiologicalPilot ProjectsPlayProcessProductionReactionResearchResearch DesignResolutionResourcesRoleScanningSignal TransductionStrokeTechnologyTestingTimeVisualclinical applicationdetection sensitivityglucose metabolismhuman diseaseimaging capabilitiesimaging detectionimaging facilitiesimaging modalityimprovedinnovationinsightkinetic modelmembermetabolic imagingmetabolic ratenervous system disorderneuroimagingneurophysiologynext generationnon-invasive imagingnovelquantitative imagingradio frequencyresponseskillsspatiotemporalsuccesstemporal measurementtooltranslational applicationstranslational studytreatment effecttumor heterogeneity
中文摘要
点击翻译按钮获取中文摘要
英文摘要
PROJECT SUMMARY
Cellular energy metabolism is a fundamental process of life that produces biochemical energy in the form of
adenosine triphosphate (ATP) to support neuronal activity and brain function. Glucose and oxygen are the
main energy substrates of the brain and are metabolized through glycolysis, the tricarboxylic acid cycle and
oxidative phosphorylation pathways, constituting a neuroenergetic network that effectively regulates ATP
production and homeostasis. ATP production and homeostasis are affected when brain states change, as
signs of altered cerebral glucose and oxidative metabolism are commonly seen in aging, neurodegenerative
diseases, psychiatric disorders, stroke and cancer. Despite the important roles of brain energy metabolism,
metabolic alteration and reprogramming in health and disease, noninvasive neuroimaging tools capable of
mapping and quantifying key features of neuroenergetic network in the human brain are still lacking.
Over the past two decades, we have developed three ultrahigh-field (UHF) metabolic imaging techniques
based on deuterium-2 (2H), oxygen-17 (17O), and phosphorus-31 (31P) magnetic resonance spectroscopy
(MRSI) imaging capable of noninvasive and quantitative assessment of brain energy metabolism along major
metabolic pathways. However, X-nuclear MRSI-based methods face severe challenges in translational
applications due to low detection sensitivity and metabolite content, and prolonged scanning time.
This project aims to develop and integrate multiple cutting-edge technologies to build next generation high-
resolution, high-performance and translatable neuroimaging tools on an FDA-approved 7 Tesla clinical scanner
for quantitatively imaging key metabolic rates and other essential neurophysiological parameters related to
energy metabolism in healthy and diseased human brains. Three pilot studies are proposed to test and
demonstrate the utility and feasibility of the novel neuro-metabolic imaging tools to quantitatively study
neuroenergetics and metabolic reprogramming in brain activation, aging processes and brain tumors, aiming to
understand their critical roles in brain function and disease. This project leverages the interdisciplinary
expertise of an outstanding team leading in the research field, excellent imaging facilities and resources, and
close collaboration among team members. The advanced neuroimaging tools established by this project is
expected to have significant impact on changing the paradigm of neurometabolic imaging and energy
metabolism research, and enable translational studies of human brain bioenergetics and metabolic
reprogramming under physiopathological conditions.
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