Original articleEvaluation of in vivo cerebral metabolism on proton magnetic resonance spectroscopy in patients with impaired glucose tolerance and type 2 diabetes mellitus
Introduction
It is becoming increasingly evident that the brain is one of the targets for diabetic end organ damage (Biessels et al., 1994, Brands et al., 2003). The underlying mechanism causing brain damage in diabetes has not been fully explained. It seems that the fluctuation in blood glucose level, as well as acute and/or chronic metabolic and vascular impairment, such as deficits in cerebral blood flow, may cause functional and structural cerebral changes in diabetic patients (Biessels et al., 2002, Brands et al., 2004).
Magnetic resonance spectroscopy (MRS) is a very powerful diagnostic modality that gives information on neuronal/axonal viability, cellular energetic, and cellular membrane status (Bitsch et al., 1999). It may provide neurochemical information on subtle and overt brain parenchymal changes. This information is used to discriminate normal and pathological tissues. Therefore, it is increasingly being used to diagnose and manage various cerebral diseases (Alkan et al., 2004, Alkan et al., 2004, Alkan et al., 2003). However, few studies investigated brain metabolite changes using MRS technique in patients with diabetes mellitus, and these changes have not been documented in detail (Biessels et al., 2001, Kreis & Ross, 1992, Perros et al., 1997). Moreover, no one has yet investigated brain metabolite changes in patients with impaired glucose tolerance (IGT). This study was designed to contribute to a better understanding of cerebral metabolism on MRS in patients with IGT and type 2 diabetes mellitus (T2-DM).
Section snippets
Materials and methods
Twenty-five patients with T2-DM, 13 patients with IGT, and 14 age- and gender-matched healthy volunteers were included in this cross-sectional study. None of the subjects had systemic or cerebrovascular disease, head trauma, and overt cognitive dysfunction (in the diabetic group, three patients were diagnosed as having cerebrovascular disease and one patient was diagnosed as having meningioma; all of them were excluded from the study). The procedures used were in accordance with the guidelines
Results
Mean age of patients with T2-DM, patients with IGT, and control subjects were 49.8±12.4, 44.5±11.3, and 41.5±8.1 years, respectively. Study groups and the control group did not differ significantly regarding their mean ages and gender distributions. Clinical and laboratory characteristics of the study groups and the control group are given in Table 1. Conventional MR imaging was normal in all subjects.
Parietal white matter, frontal cortex, and thalamic metabolite measurements are presented in
Discussion
Clinical features, epidemiology, and pathophysiology of the peripheral diabetic neuropathy are well established. However, adverse effects of the diabetes on the central nervous system are less described and the underlying pathophysiology is largely unknown (Brands et al., 2003). Neuropsychological studies of diabetics reveal cognitive impairment, including complex information processes such as learning and memory (Tun, Nathan, & Perlmuter, 1990). Neuroradiological studies report mild cerebral
References (29)
- et al.
Occupational prolonged organic solvent exposure in shoemakers: Brain MR spectroscopy findings
Magnetic Resonance Imaging
(2004) - et al.
Brain MR spectroscopy in children with a history of rheumatic fever with a special emphasis on neuropsychiatric complications
European Journal of Radiology
(2004) - et al.
Proton MR spectroscopy features of normal appearing white matter in neurofibromatosis type 1
Magnetic Resonance Imaging
(2003) - et al.
Ageing and diabetes: Implications for brain function
Eurpean Journal of Pharmacology
(2002) - et al.
Cerebral dysfunction in type 1 diabetes: Effects of insulin, vascular risk factors and blood-glucose levels
Eurpean Journal of Pharmacology
(2004) - et al.
Absolute quantitation of water and metabolites in the human brain. I. Compartments and water
Journal of Magnetic Resonance
(1993) - et al.
Effect of diabetes on levels of lipid peroxides and glycolipids in rat brain
Metabolism
(1993) - et al.
MRI of the brain in diabetes mellitus
Neuroradiaology
(1994) - et al.
Magnetic resonance spectroscopy of brain hemangiopericytomas: High myoinositol concentrations and discrimination from meningiomas
Journal of Neurosurgery
(2001) - et al.
Cerebral metabolism in streptozotocin-diabetic rats: An in vivo magnetic resonance spectroscopy study
Diabetologia
(2001)
Cerebral function in diabetes mellitus
Diabetologia
Inflammatory CNS demyelination: Histopathologic with in vivo quantitative proton MR spectroscopy
AJNR American Journal of Neuroradiology
Diabetic encephalopathy: An underexposed complication of diabetes mellitus
Nederlands Tijdschrift voor Geneeskunde
Magnetic resonance spectroscopy of pediatric brain
Topics Magnetic Resonance Imaging
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