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      Phosphate Brain Energy Metabolism and Cognition in Alzheimer’s Disease: A Spectroscopy Study Using Whole-Brain Volume-Coil 31Phosphorus Magnetic Resonance Spectroscopy at 7Tesla

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          Abstract

          Introduction

          Mitochondrial dysfunction is a neurometabolic hallmark signaling abnormal brain energy metabolism (BEM) targeted as a potential early marker of Alzheimer’s disease (AD). Advanced imaging technologies, such as 31phosphorus magnetic resonance spectroscopy ( 31P MRS) at ultra-high-field (UHF) magnetic strength 7T, provide sensitive phosphate-BEM (p-BEM) data with precision. The study’s first goal was to develop a methodology to measure phosphate energy and membrane metabolites simultaneously across the whole-brain using volume-coil 31P MRS at 7T in three groups-cognitively normal (CN), amnestic mild cognitive impairment (aMCI), and AD. The second aim investigated whether p-BEM markers in the four brain regions-frontal, temporal, parietal, and occipital were significantly different across the three groups. The final goal examined correspondence between the p-BEM markers and cognition in the three groups.

          Methods

          Forty-one participants (CN = 15, aMCI = 15, AD = 11) were enrolled and completed cognitive assessment and scan. The cognitive domains included executive function (EF), memory, attention, visuospatial skills, and language. The p-BEM markers were measured using energy reserve index (PCr/t-ATP), energy consumption index (intracellular_Pi/t-ATP), metabolic state indicator (intracellular_Pi/PCr), and regulatory co-factors [magnesium (Mg 2+) and intracellular pH].

          Results

          Thirteen metabolites were measured simultaneously from the whole brain for all three group with high spectral resolution at UHF. In the aMCI group, a lower p-BEM was observed compared to CN group based on two markers, i.e., energy reserve (p = 0.009) and energy consumption ( p = 0.05) indices; whereas in AD a significant increase was found in metabolic stress indicator ( p = 0.007) and lower Mg 2+ ( p = 0.004) in the temporal lobes compared to aMCI using ANOVA between group analytical approach. Finally, using a linear mixed model, a significant positive correlation was found between Mg 2+ and cognitive performance of memory ( p = 0.013), EF ( p = 0.023), and attention ( p = 0.0003) in CN but not in aMCI or AD.

          Conclusion

          To our knowledge, this is the first study to show that it is possible to measure p-BEM in vivo with precision at UHF across the three groups. Moreover, the findings suggest that p-BEM may be compromised in aMCI even before an AD diagnosis, which in future studies should explore to examine whether this energy crisis contributes to some of the earliest neuropathophysiologic changes in AD.

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          Most cited references47

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              Development and validation of a geriatric depression screening scale: a preliminary report.

              A new Geriatric Depression Scale (GDS) designed specifically for rating depression in the elderly was tested for reliability and validity and compared with the Hamilton Rating Scale for Depression (HRS-D) and the Zung Self-Rating Depression Scale (SDS). In constructing the GDS a 100-item questionnaire was administered to normal and severely depressed subjects. The 30 questions most highly correlated with the total scores were then selected and readministered to new groups of elderly subjects. These subjects were classified as normal, mildly depressed or severely depressed on the basis of Research Diagnostic Criteria (RDC) for depression. The GDS, HRS-D and SDS were all found to be internally consistent measures, and each of the scales was correlated with the subject's number of RDC symptoms. However, the GDS and the HRS-D were significantly better correlated with RDC symptoms than was the SDS. The authors suggest that the GDS represents a reliable and valid self-rating depression screening scale for elderly populations.
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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                06 April 2021
                2021
                : 15
                : 641739
                Affiliations
                [1] 1Center for BrainHealth, The University of Texas at Dallas , Dallas, TX, United States
                [2] 2Department of Radiology, Advanced Imaging Research Center, University of Texas Southwestern Medical Center , Dallas, TX, United States
                Author notes

                Edited by: Lionel Carneiro, The Ohio State University, United States

                Reviewed by: Anne-Karine Bouzier-Sore, Centre National de la Recherche Scientifique (CNRS), France; Jianping Jia, Capital Medical University, China

                *Correspondence: Namrata Das, Namrata.Das@ 123456utdallas.edu

                This article was submitted to Neuroenergetics, Nutrition and Brain Health, a section of the journal Frontiers in Neuroscience

                Article
                10.3389/fnins.2021.641739
                8055842
                33889067
                77968779-bb2f-4e78-ac67-234675b703d5
                Copyright © 2021 Das, Ren, Spence and Chapman.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 December 2020
                : 15 February 2021
                Page count
                Figures: 4, Tables: 5, Equations: 1, References: 46, Pages: 16, Words: 0
                Categories
                Neuroscience
                Original Research

                Neurosciences
                phosphate brain energy metabolism,alzheimer’s disease,amnestic mild cognitive impairment,31phosphorus magnetic resonance spectroscopy,adenosine triphosphate,mitochondria

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