Neuropathic phenotypes of type 1 diabetes are related to different signatures of magnetic resonance spectroscopy-assessed brain metabolites.

Autor: Hansen TM; Department of Radiology, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark; Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Søndre Skovvej 15, 9000 Aalborg, Denmark., Croosu SS; Department of Radiology, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark; Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Søndre Skovvej 15, 9000 Aalborg, Denmark; Steno Diabetes Center North Denmark, Aalborg University Hospital, Mølleparkvej 4, 9000 Aalborg, Denmark., Røikjer J; Steno Diabetes Center North Denmark, Aalborg University Hospital, Mølleparkvej 4, 9000 Aalborg, Denmark; Integrative Neuroscience, Aalborg University, Selma Lagerlöfs Vej 249, 9260 Gistrup, Denmark., Mørch CD; Integrative Neuroscience, Aalborg University, Selma Lagerlöfs Vej 249, 9260 Gistrup, Denmark; Center for Neuroplasticity and Pain (CNAP), SMI, Department of Health Science and Technology, Aalborg University, Selma Lagerlöfs Vej 249, 9260 Gistrup, Denmark., Ejskjaer N; Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Søndre Skovvej 15, 9000 Aalborg, Denmark; Steno Diabetes Center North Denmark, Aalborg University Hospital, Mølleparkvej 4, 9000 Aalborg, Denmark; Department of Endocrinology, Aalborg University Hospital, Mølleparkvej 4, 9000 Aalborg, Denmark., Frøkjær JB; Department of Radiology, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark; Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Søndre Skovvej 15, 9000 Aalborg, Denmark.
Jazyk: angličtina
Zdroj: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2024 Oct; Vol. 166, pp. 11-19. Date of Electronic Publication: 2024 Jul 16.
DOI: 10.1016/j.clinph.2024.06.017
Abstrakt: Objectives: The study aimed to investigate brain metabolites in type 1 diabetes and the associations with disease characteristics. We explored the metabolic profiles predicting different neuropathic phenotypes using multiple linear regression analyses.
Methods: We compared brain metabolites in 55 adults with type 1 diabetes (including painful diabetic peripheral neuropathy (DPN), painless DPN, without DPN) with 20 healthy controls. Proton magnetic resonance spectroscopy measurements (N-acetylaspartate (NAA), glutamate (glu), myo-inositol (mI), and glycerophosphocholine (GPC) were obtained in ratios to creatine (cre)) from the parietal region, anterior cingulate cortex and thalamus.
Results: The overall diabetes group revealed decreased parietal NAA/cre compared to healthy controls (1.41 ± 0.12 vs. 1.55 ± 0.13,p < 0.001) and increased mI/cre (parietal: 0.62 ± 0.08 vs. 0.57 ± 0.07,p = 0.025, cingulate: 0.65 ± 0.08 vs. 0.60 ± 0.08,p = 0.033). Reduced NAA/cre was associated with more severe DPN (all p ≤ 0.04) whereas increased mI/cre was associated with higher hemoglobin A 1c (HbA 1c ) (p = 0.02). Diabetes was predicted from decreased parietal NAA/cre, increased parietal ml/cre, and decreased thalamic glu/cre. DPN was predicted from decreased parietal NAA/cre and increased GPC/cre. Painful DPN was predicted from increased parietal GPC/cre and thalamic glu/cre.
Conclusions: Specific metabolic brain profiles were linked to the different phenotypes of diabetes, DPN and painful DPN.
Significance: Assessment of metabolic profiles could be relevant for detailed understanding of central neuropathy in diabetes.
Competing Interests: Declarations of interest None.
(Copyright © 2024 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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