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Metabolism in the Diabetic Brain: Neurochemical Profiling by 1H Magnetic Resonance Spectroscopy

Duarte, Joao LU orcid (2016) In HSOA Journal of Diabetes and Metabolic Disorders 3. p.1-1
Abstract
Diabetes is associated with decrements in cognitive function and with abnormalities in brain morphology. In addition, alterations of metabolism have been reported in the diabetic brain. Magnetic Resonance Spectroscopy (MRS) is a non-invasive technique that can be employed to determine the concentration of metabolites in a fully non-invasive manner under normal physiological conditions. The present article reviews major findings from 1H MRS studies in the brain of diabetes patients, and of pre-clinical models of both insulin-dependent and insulin-resistant diabetes. Metabolic alterations measured in vivo by MRS are closely associated to events of the neurodegenerative ... (More)
Diabetes is associated with decrements in cognitive function and with abnormalities in brain morphology. In addition, alterations of metabolism have been reported in the diabetic brain. Magnetic Resonance Spectroscopy (MRS) is a non-invasive technique that can be employed to determine the concentration of metabolites in a fully non-invasive manner under normal physiological conditions. The present article reviews major findings from 1H MRS studies in the brain of diabetes patients, and of pre-clinical models of both insulin-dependent and insulin-resistant diabetes. Metabolic alterations measured in vivo by MRS are closely associated to events of the neurodegenerative process at cellular level, and thus allow understanding the pathophysiology of diabetes-associated brain complications. Moreover, MRS constitutes an excellent tool for tracking outcomes of therapeutic interventions. However, further studies are required to clearly establish the links between diabetes-induced alterations of metabolism, structure and function in the brain. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
diabetes, brain metabolism, MRS, metabolic profiling
in
HSOA Journal of Diabetes and Metabolic Disorders
volume
3
article number
011
pages
1 - 1
publisher
Herald Scholarly Open Access
DOI
10.24966/DMD-201X/100011
language
English
LU publication?
no
id
da0facd2-8bb7-49de-9ca7-670f5daa0e31
date added to LUP
2019-02-22 09:26:33
date last changed
2019-02-27 15:11:56
@article{da0facd2-8bb7-49de-9ca7-670f5daa0e31,
  abstract     = {{Diabetes  is  associated  with  decrements  in  cognitive  function  and  with  abnormalities  in  brain  morphology.  In  addition,  alterations  of  metabolism  have  been  reported  in  the  diabetic  brain.  Magnetic  Resonance  Spectroscopy  (MRS)  is  a  non-invasive  technique  that  can  be  employed  to  determine  the  concentration  of  metabolites  in   a   fully   non-invasive   manner   under   normal   physiological   conditions. The present article reviews major findings from 1H MRS studies in the brain of diabetes patients, and of pre-clinical models of  both  insulin-dependent  and  insulin-resistant  diabetes.  Metabolic  alterations measured in vivo by MRS are closely associated to events of  the  neurodegenerative  process  at  cellular  level,  and  thus  allow  understanding  the  pathophysiology  of  diabetes-associated  brain  complications.  Moreover,  MRS  constitutes  an  excellent  tool  for  tracking  outcomes  of  therapeutic  interventions.  However,  further  studies   are   required   to   clearly   establish   the   links   between   diabetes-induced  alterations  of  metabolism,  structure  and  function  in the brain.}},
  author       = {{Duarte, Joao}},
  keywords     = {{diabetes; brain metabolism; MRS; metabolic profiling}},
  language     = {{eng}},
  month        = {{03}},
  pages        = {{1--1}},
  publisher    = {{Herald Scholarly Open Access}},
  series       = {{HSOA Journal of Diabetes and Metabolic Disorders}},
  title        = {{Metabolism in the Diabetic Brain: Neurochemical Profiling by 1H Magnetic Resonance Spectroscopy}},
  url          = {{http://dx.doi.org/10.24966/DMD-201X/100011}},
  doi          = {{10.24966/DMD-201X/100011}},
  volume       = {{3}},
  year         = {{2016}},
}