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Abstract #1795

Interrogating Aging Progression and Early Detection of Alzheimer’s Disease Using Metabolic Imaging

Julia Rose Zickus1, José S Enriquez1, Muxin Wang1, Bill T Sun2, Xudong Qiu2, Sunil Goodwani3, Jeffery Wefel4, David Piwnica-Worms2, Seth T Gammon2, Jim Ray3, and Pratip K Bhattacharya2
1Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, United States, 2Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, United States, 3The Neurodegeneration Consortium, UT MD Anderson Cancer Center, Houston, TX, United States, 4Neuro-Oncology, UT MD Anderson Cancer Center, Houston, TX, United States

Synopsis

Keywords: Alzheimer's Disease, Alzheimer's Disease, Aging, Metabolic Imaging, Hyperpolarization

Motivation: Glycolytic hypometabolism may be a key player in dementia pathology. Alzheimer’s disease (AD) commonly develops 25 years before clinical diagnosis.

Goal(s): This study aims to image this hypometabolism by hyperpolarized MRI to diagnose AD at the onset of pathology, potentially enabling early treatment.

Approach: Employing [1-13C] pyruvate hyperpolarized (HP) metabolic imaging and multiple AD mouse models, we interrogated reduced glycolysis at various stages of disease progression.

Results: HP metabolic imaging can detect metabolic shift to lactate in AD mice, offering insights into metabolic changes throughout disease progression.

Impact: Early detection of Alzheimer’s disease employing hyperpolarized metabolic imaging may facilitate early intervention to prevent dementia, elucidate the metabolic pathology of the disease, and improve treatment outcome through monitoring of treatment efficacy.

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