Introduction - Aging of the world's population is being increasingly recognized as a crucial societal challenge. Yet, tools to perform high-quality metabolic research on aging of the brain are very limited.
The proposed study will focus on methods to assess metabolic brain changes that occur during aging as well as in 10 patients with Alzheimer's disease (AD). Apart from AD, also 10 patients with minimal cognitive impairment (MCI), 10 patient with diabetes mellitus type 2 (DM), and 10 patients with high grade carotid stenosis will be examined.
The currently most prominent clinical method to study brain metabolism in vivo, is Positron Emission Tomography (PET) using 18F-fluorodeoxyglucose (FDG). A major drawback of this method is the ionizing radiation. A magnetic resonance spectroscopic imaging (MRSI) based method, called deuterium metabolic imaging (DMI) expands the MRSI capabilities offered by proton-based techniques and enables in vivo glucose metabolism imaging without ionizing radiation. A unique feature of DMI is that, unlike PET, it not only maps glucose uptake but also downstream products such as lactate, glutamate and glutamine thereby offering the possibility to detect metabolic disturbances associated with aging and neurodegeneration.
Due to the relatively low sensitivity of DMI, strong magnetic fields are required to increase the signal to noise ratio (SNR) and enable DMI. Recently the first commercially available Ultra High Field (UHF) 7T MR-scanner was approved for clinical use and is now available in Bern, making DMI accessible. The investigators' motivation is to provide non-invasive, radiation free, deuterium and proton based MRSI methods enabling metabolic studies of the brain and lay the foundation for long-term longitudinal observational studies of aging; something that can hardly be done with PET due to the radiation burden for healthy controls.
Objectives - The primary goal of the proposed project is to establish 3D spatially resolved deuterium (2H) and proton (1H) based MRSI methodology for studies of brain metabolism and apply this methodology in an in vivo feasibility study. To complement DMI, the investigators will establish UHF 3D-resolved spectral-edited 1H-MRSI mapping for glucose, gamma-Aminobutyric acid (GABA) and glutamate using the investigators' recently developed technique called SLOW.
The secondary goal is to create 3D spatially resolved reference atlas of metabolic information of the brain for healthy individuals.The atlas will allow spatially resolved analysis of metabolic information of individual patients having neurological disorders by comparing them to a normative data using z-score derived abnormality maps.
Hypotheses - (a.) 3D-MRSI based glucose/glutamate/lactate mapping using DMI facilitates spatially resolved quantitative comparisons between AD patients and healthy controls using z-score maps; (b.) 1H-SLOW-edited MRSI of glucose/GABA and glutamate facilitates spatially resolved quantitative comparisons between AD patients and healthy controls using z-score maps.
Methods - the investigators will (i.) adapt their UHF 1H-EPSI MRSI sequence for DMI; (ii.) optimize their 1H-SLOW-edited EPSI sequence aiming at whole brain measurement of GABA, glutamate and glucose editing, together with the metabolites N-acetyl-aspartate (NAA), choline, creatine, and aspartate; (iii.) extend their spectrIm-QMRS analytic tool to quantify and analyze 3D-2H-metabolic datasets, (iv.) compute all 3D-resolved 1H- and 2H-MRSI metabolic maps and co-register with high resolution 3D-anatomical images; (v.) develop methodology to generate metabolic atlas of normative data and perform z-score based comparisons using the atlas.
Significance - It is likely that the trend to higher field strength in MRI will continue making DMI increasingly available for research and clinical applications. UHF DMI and 1H-EPSI MRSI will provide a non-invasive way to quantify brain metabolism. DMI offers information on glucose metabolism, whereas 1H-SLOW on glucose, GABA- and glutamate-concentrations. The proposed approach to MRSI data analysis is fundamentally different from the one currently applied in clinical MRSI and would allow to detect and display even subtle variations from normative metabolic characteristic. If successful, UHF metabolic imaging would offer a radiation free modality, which could be repeatedly applied in young and healthy subjects to study aging. Importantly, the proposed methods will provide deeper insights into bioenergetics, specifically mitochondrial function, oxidative phosphorylation and use of alternative fuels for brain energy provision, information that FDG-PET cannot provide. Moreover, comparative analyses utilizing normative datasets would facilitate studies of the broad spectrum of disorders with impaired brain bioenergetics for example neurodegeneration, neuroinflammation but also diseases not specific to the central nervous systems like obesity and diabetes, all having a high socio-economic impact.
