• This record comes from PubMed

Structural Alterations in Deep Brain Structures in Type 1 Diabetes

. 2020 Nov ; 69 (11) : 2458-2466. [epub] 20200824

Language English Country United States Media print-electronic

Document type Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't

Grant support
P41 EB027061 NIBIB NIH HHS - United States
P41 EB015894 NIBIB NIH HHS - United States
UL1 TR002494 NCATS NIH HHS - United States
R01 DK099137 NIDDK NIH HHS - United States
P30 NS076408 NINDS NIH HHS - United States
KL2 TR002492 NCATS NIH HHS - United States
R56 DK099137 NIDDK NIH HHS - United States
T32 DK007203 NIDDK NIH HHS - United States
UL1 TR000114 NCATS NIH HHS - United States
KL2 TR000113 NCATS NIH HHS - United States

Even though well known in type 2 diabetes, the existence of brain changes in type 1 diabetes (T1D) and both their neuroanatomical and clinical features are less well characterized. To fill the void in the current understanding of this disease, we sought to determine the possible neural correlate in long-duration T1D at several levels, including macrostructural, microstructural cerebral damage, and blood flow alterations. In this cross-sectional study, we compared a cohort of 61 patients with T1D with an average disease duration of 21 years with 54 well-matched control subjects without diabetes in a multimodal MRI protocol providing macrostructural metrics (cortical thickness and structural volumes), microstructural measures (T1-weighted/T2-weighted [T1w/T2w] ratio as a marker of myelin content, inflammation, and edema), and cerebral blood flow. Patients with T1D had higher T1w/T2w ratios in the right parahippocampal gyrus, the executive part of both putamina, both thalami, and the cerebellum. These alterations were reflected in lower putaminal and thalamic volume bilaterally. No cerebral blood flow differences between groups were found in any of these structures, suggesting nonvascular etiologies of these changes. Our findings implicate a marked nonvascular disruption in T1D of several essential neural nodes engaged in both cognitive and motor processing.

See more in PubMed

Brands AM, Biessels GJ, de Haan EH, Kappelle LJ, Kessels RP. The effects of type 1 diabetes on cognitive performance: a meta-analysis. Diabetes Care 2005;28:726–735 PubMed

Rovet J, Ehrlich R, Hoppe M. Behaviour problems in children with diabetes as a function of sex and age of onset of disease. J Child Psychol Psychiatry 1987;28:477–491 PubMed

Ryan C, Longstreet C, Morrow L. The effects of diabetes mellitus on the school attendance and school achievement of adolescents. Child Care Health Dev 1985;11:229–240 PubMed

Dejgaard A, Gade A, Larsson H, Balle V, Parving A, Parving H-H. Evidence for diabetic encephalopathy. Diabet Med 1991;8:162–167 PubMed

Boeve BF, Bell DG, Noseworthy JH. Bilateral temporal lobe MRI changes in uncomplicated hypoglycemic coma. Can J Neurol Sci 1995;22:56–58 PubMed

Wautier J-L, Schmidt AM. Protein glycation: a firm link to endothelial cell dysfunction. Circ Res 2004;95:233–238 PubMed

Ceriello A Oxidative stress and glycemic regulation. Metabolism 2000;49(Suppl. 1):27–29 PubMed

Navedo MF, Takeda Y, Nieves-Cintrón M, Molkentin JD, Santana LF. Elevated Ca2+ sparklet activity during acute hyperglycemia and diabetes in cerebral arterial smooth muscle cells. Am J Physiol Cell Physiol 2010;298:C211–C220 PubMed PMC

Beauquis J, Homo-Delarche F, Revsin Y, De Nicola AF, Saravia F. Brain alterations in autoimmune and pharmacological models of diabetes mellitus: focus on hypothalamic-pituitary-adrenocortical axis disturbances. Neuroimmunomodulation 2008;15:61–67 PubMed

Castillo-Gómez E, Coviello S, Perez-Rando M, et al. . Streptozotocin diabetic mice display depressive-like behavior and alterations in the structure, neurotransmission and plasticity of medial prefrontal cortex interneurons. Brain Res Bull 2015;116:45–56 PubMed

Lovett-Barron M, Losonczy A. Behavioral consequences of GABAergic neuronal diversity. Curr Opin Neurobiol 2014;26:27–33 PubMed

Taplin CE, Barker JM. Autoantibodies in type 1 diabetes. Autoimmunity 2008;41:11–18 PubMed

Barker JM, Yu J, Yu L, et al. . Autoantibody “subspecificity” in type 1 diabetes: risk for organ-specific autoimmunity clusters in distinct groups. Diabetes Care 2005;28:850–855 PubMed

Vianello M, Tavolato B, Armani M, Giometto B. Cerebellar ataxia associated with anti-glutamic acid decarboxylase autoantibodies. Cerebellum 2003;2:77–79 PubMed

Perros P, Deary IJ, Sellar RJ, Best JJ, Frier BM. Brain abnormalities demonstrated by magnetic resonance imaging in adult IDDM patients with and without a history of recurrent severe hypoglycemia. Diabetes Care 1997;20:1013–1018 PubMed

Ferguson SC, Blane A, Wardlaw J, et al. . Influence of an early-onset age of type 1 diabetes on cerebral structure and cognitive function. Diabetes Care 2005;28:1431–1437 PubMed

Nunley KA, Ryan CM, Orchard TJ, et al. . White matter hyperintensities in middle-aged adults with childhood-onset type 1 diabetes. Neurology 2015;84:2062–2069 PubMed PMC

Yousem DM, Tasman WS, Grossman RI. Proliferative retinopathy: absence of white matter lesions at MR imaging. Radiology 1991;179:229–230 PubMed

Musen G, Lyoo IK, Sparks CR, et al. . Effects of type 1 diabetes on gray matter density as measured by voxel-based morphometry. Diabetes 2006;55:326–333 PubMed

Hughes TM, Ryan CM, Aizenstein HJ, et al. . Frontal gray matter atrophy in middle aged adults with type 1 diabetes is independent of cardiovascular risk factors and diabetes complications. J Diabetes Complications 2013;27:558–564 PubMed PMC

Bednarik P, Moheet AA, Grohn H, et al. . Type 1 diabetes and impaired awareness of hypoglycemia are associated with reduced brain gray matter volumes. Front Neurosci 2017;11:529. PubMed PMC

Wessels AM, Simsek S, Remijnse PL, et al. . Voxel-based morphometry demonstrates reduced grey matter density on brain MRI in patients with diabetic retinopathy. Diabetologia 2006;49:2474–2480 PubMed

Moulton CD, Costafreda SG, Horton P, Ismail K, Fu CHY. Meta-analyses of structural regional cerebral effects in type 1 and type 2 diabetes. Brain Imaging Behav 2015;9:651–662 PubMed

Hershey T, Perantie DC, Wu J, Weaver PM, Black KJ, White NH. Hippocampal volumes in youth with type 1 diabetes. Diabetes 2010;59:236–241 PubMed PMC

Ho MS, Weller NJ, Ives FJ, et al. . Prevalence of structural central nervous system abnormalities in early-onset type 1 diabetes mellitus. J Pediatr 2008;153:385–390 PubMed

van Elderen SGC, Brandts A, van der Grond J, et al. . Cerebral perfusion and aortic stiffness are independent predictors of white matter brain atrophy in type 1 diabetic patients assessed with magnetic resonance imaging. Diabetes Care 2011;34:459–463 PubMed PMC

Glasser MF, Van Essen DC. Mapping human cortical areas in vivo based on myelin content as revealed by T1- and T2-weighted MRI. J Neurosci 2011;31:11597–11616 PubMed PMC

Beer A, Biberacher V, Schmidt P, et al. . Tissue damage within normal appearing white matter in early multiple sclerosis: assessment by the ratio of T1- and T2-weighted MR image intensity. J Neurol 2016;263:1495–1502 PubMed

Mangia S, Tesfaye N, De Martino F, et al. . Hypoglycemia-induced increases in thalamic cerebral blood flow are blunted in subjects with type 1 diabetes and hypoglycemia unawareness. J Cereb Blood Flow Metab 2012;32:2084–2090 PubMed PMC

Glasser MF, Sotiropoulos SN, Wilson JA, et al. .; WU-Minn HCP Consortium . The minimal preprocessing pipelines for the Human Connectome Project. Neuroimage 2013;80:105–124 PubMed PMC

Postelnicu G, Zollei L, Fischl B. Combined volumetric and surface registration. IEEE Trans Med Imaging 2009;28:508–522 PubMed PMC

Canna A, Ponticorvo S, Russo AG, et al. . A group-level comparison of volumetric and combined volumetric-surface normalization for whole brain analyses of myelin and iron maps. Magn Reson Imaging 2018;54:225–240 PubMed

Ashburner J A fast diffeomorphic image registration algorithm. Neuroimage 2007;38:95–113 PubMed

Shen S, Sterr A. Is DARTEL-based voxel-based morphometry affected by width of smoothing kernel and group size? A study using simulated atrophy. J Magn Reson Imaging 2013;37:1468–1475 PubMed

Winkler AM, Ridgway GR, Webster MA, Smith SM, Nichols TE. Permutation inference for the general linear model. Neuroimage 2014;92:381–397 PubMed PMC

Yager LM, Garcia AF, Wunsch AM, Ferguson SM. The ins and outs of the striatum: role in drug addiction. Neuroscience 2015;301:529–541 PubMed PMC

Ferguson SC, Blane A, Perros P, et al. . Cognitive ability and brain structure in type 1 diabetes: relation to microangiopathy and preceding severe hypoglycemia. Diabetes 2003;52:149–156 PubMed

Fülesdi B, Limburg M, Bereczki D, et al. . Impairment of cerebrovascular reactivity in long-term type 1 diabetes. Diabetes 1997;46:1840–1845 PubMed

Petcharunpaisan S, Ramalho J, Castillo M. Arterial spin labeling in neuroimaging. World J Radiol 2010;2:384–398 PubMed PMC

Abe Y, Yamamoto T, Soeda T, et al. . Diabetic striatal disease: clinical presentation, neuroimaging, and pathology. Intern Med 2009;48:1135–1141 PubMed

Kann O The interneuron energy hypothesis: implications for brain disease. Neurobiol Dis 2016;90:75–85 PubMed

Larsson M, Lietzau G, Nathanson D, et al. . Diabetes negatively affects cortical and striatal GABAergic neurons: an effect that is partially counteracted by exendin-4. Biosci Rep 2016;36:e00421. PubMed PMC

Yi SS Time-dependent changes of calbindin D-28K and parvalbumin immunoreactivity in the hippocampus of rats with streptozotocin-induced type 1 diabetes. J Vet Sci 2013;14:373–380 PubMed PMC

Winer S, Astsaturov I, Cheung R, et al. . Type I diabetes and multiple sclerosis patients target islet plus central nervous system autoantigens; nonimmunized nonobese diabetic mice can develop autoimmune encephalitis. J Immunol 2001;166:2831–2841 PubMed

See more in PubMed

figshare
10.2337/figshare.12840641

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...