White matter hyperintensities in middle-aged adults with childhood-onset type 1 diabetes

Objective: Although microvascular complications are common in type 1 diabetes mellitus (T1DM), few studies have quantified the severity, risk factors, and implications of cerebral microvascular damage in these patients. As life expectancy in patients with T1DM increases, patients are exposed to age- and disease-related factors that may contribute to cerebral microvascular disease. Methods: Severity and volume of white matter hyperintensities (WMH) and infarcts were quantified in 97 middle-aged patients with childhood-onset T1DM (mean age and duration: 50 and 41 years, respectively) and 81 non-T1DM adults (mean age: 48 years), concurrent with cognitive and health-related measures. Results: Compared with non-T1DM participants, patients had more severe WMH (Fazekas scores 2 and 3 compared with Fazekas score 1, p < 0.0001) and slower information processing (digit symbol substitution, number correct: 65.7 ± 10.9 and 54.9 ± 13.6; pegboard, seconds: 66.0 ± 9.9 and 88.5 ± 34.2; both p < 0.0001) independent of age, education, or other factors. WMH were associated with slower information processing; adjusting for WMH attenuated the group differences in processing speed (13% for digit symbol, 11% for pegboard, both p ≤ 0.05). Among patients, prevalent neuropathies and smoking tripled the odds of high WMH burden, independent of age or disease duration. Associations between measures of blood pressure or hyperglycemia and WMH were not significant. Conclusions: Clinically relevant WMH are evident earlier among middle-aged patients with childhood-onset T1DM and are related to the slower information processing frequently observed in T1DM. Brain imaging in patients with T1DM who have cognitive difficulties, especially those with neuropathies, may help uncover cerebral microvascular damage. Longitudinal studies are warranted to fully characterize WMH development, risk factors, and long-term effects on cognition.

[1]  W. Tasman,et al.  Proliferative retinopathy: absence of white matter lesions at MR imaging. , 1991, Radiology.

[2]  Sarah J. Ratcliffe,et al.  Increasing Incidence of Type 1 Diabetes in Youth , 2013, Diabetes Care.

[3]  Geert Jan Biessels,et al.  Cognitive Performance, Psychological Well-Being, and Brain Magnetic Resonance Imaging in Older Patients With Type 1 Diabetes , 2006, Diabetes.

[4]  Norman J Beauchamp,et al.  Incidence, Manifestations, and Predictors of Worsening White Matter on Serial Cranial Magnetic Resonance Imaging in the Elderly: The Cardiovascular Health Study , 2005, Stroke.

[5]  L. Kuller,et al.  Lipoprotein(a) Concentration Shows Little Relationship to IDDM Complications in the Pittsburgh Epidemiology of Diabetes Complications Study Cohort , 1993, Diabetes Care.

[6]  Lewis H Kuller,et al.  Association Between Lower Digit Symbol Substitution Test Score and Slower Gait and Greater Risk of Mortality and of Developing Incident Disability in Well‐Functioning Older Adults , 2008, Journal of the American Geriatrics Society.

[7]  B. Frier,et al.  Hippocampal volume and cognitive performance in long‐standing Type 1 diabetic patients without macrovascular complications , 2006, Diabetic medicine : a journal of the British Diabetic Association.

[8]  Victoria J. Williams,et al.  Association between white matter microstructure, executive functions, and processing speed in older adults: The impact of vascular health , 2013, Human brain mapping.

[9]  I. Deary,et al.  Influence of an early-onset age of type 1 diabetes on cerebral structure and cognitive function. , 2005, Diabetes care.

[10]  C. Ryan Diabetes, aging, and cognitive decline , 2005, Neurobiology of Aging.

[11]  Thomas J. Songer,et al.  Improvements in the Life Expectancy of Type 1 Diabetes , 2012, Diabetes.

[12]  Egill Rostrup,et al.  The spatial distribution of age-related white matter changes as a function of vascular risk factors—Results from the LADIS study , 2012, NeuroImage.

[13]  Eveline A. Crone,et al.  White matter development in adolescence: The influence of puberty and implications for affective disorders , 2012, Developmental Cognitive Neuroscience.

[14]  I. Deary,et al.  Brain Abnormalities Demonstrated by Magnetic Resonance Imaging in Adult IDDM Patients With and Without a History of Recurrent Severe Hypoglycemia , 1997, Diabetes Care.

[15]  H. Markus,et al.  The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis , 2010, BMJ : British Medical Journal.

[16]  A Hofman,et al.  Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study. The Rotterdam Scan Study , 2001, Journal of neurology, neurosurgery, and psychiatry.

[17]  F. Gunning-Dixon,et al.  The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. , 2000, Neuropsychology.

[18]  J M Wardlaw,et al.  Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study: the Rotterdam Scan Study , 2001, Journal of neurology, neurosurgery, and psychiatry.

[19]  C. Lebel,et al.  Diffusion tensor imaging of white matter tract evolution over the lifespan , 2012, NeuroImage.

[20]  B. M. Lobnig,et al.  Hippocampal volume and cognitive performance in long‐standing Type 1 diabetic patients without macrovascular complications , 2006, Diabetic medicine : a journal of the British Diabetic Association.

[21]  I. Deary,et al.  Cognitive ability and brain structure in type 1 diabetes: relation to microangiopathy and preceding severe hypoglycemia. , 2003, Diabetes.

[22]  A. Alavi,et al.  MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. , 1987, AJR. American journal of roentgenology.

[23]  Minjie Wu,et al.  Quantitative comparison of AIR, SPM, and the fully deformable model for atlas‐based segmentation of functional and structural MR images , 2006, Human brain mapping.

[24]  F. Barkhof,et al.  Proliferative Retinopathy in Type 1 Diabetes Is Associated With Cerebral Microbleeds, Which Is Part of Generalized Microangiopathy , 2014, Diabetes Care.

[25]  T. Orchard,et al.  Skin Intrinsic Fluorescence Is Associated With Coronary Artery Disease in Individuals With Long Duration of Type 1 Diabetes , 2012, Diabetes Care.

[26]  Helge Malmgren,et al.  White Matter Lesion Assessment in Patients with Cognitive Impairment and Healthy Controls: Reliability Comparisons between Visual Rating, a Manual, and an Automatic Volumetrical MRI Method—The Gothenburg MCI Study , 2013, Journal of aging research.

[27]  Roger T Staff,et al.  Brain white matter hyperintensities: relative importance of vascular risk factors in nondemented elderly people. , 2005, Radiology.

[28]  Kaarin J Anstey,et al.  White matter hyperintensities in the forties: Their prevalence and topography in an epidemiological sample aged 44–48 , 2009, Human brain mapping.

[29]  Lars-Göran Nilsson,et al.  High Prevalence of White Matter Hyperintensities in Normal Aging: Relation to Blood Pressure and Cognition , 2003, Cortex.

[30]  Lewis H. Kuller,et al.  White matter grade and ventricular volume on brain MRI as markers of longevity in the cardiovascular health study , 2007, Neurobiology of Aging.

[31]  Gary A. Ford,et al.  Brain atrophy and white matter hyperintensity change in older adults and relationship to blood pressure , 2007, Journal of Neurology.

[32]  Sang Won Suh,et al.  Hypoglycemic neuronal death is triggered by glucose reperfusion and activation of neuronal NADPH oxidase. , 2007, The Journal of clinical investigation.

[33]  P. Renshaw,et al.  The effects of type 1 diabetes on cerebral white matter , 2008, Diabetologia.

[34]  S. Studenski,et al.  Long-Term Survival in Adults 65 Years and Older With White Matter Hyperintensity: Association With Performance on the Digit Symbol Substitution Test , 2013, Psychosomatic medicine.

[35]  Geert Jan Biessels,et al.  Brain Changes Underlying Cognitive Dysfunction in Diabetes: What Can We Learn From MRI? , 2014, Diabetes.

[36]  S. Rivkees,et al.  Hypoglycemia influences oligodendrocyte development and myelin formation , 2006, Neuroreport.

[37]  N. Tajima,et al.  Mortality trends in type 1 diabetes. The Allegheny County (Pennsylvania) Registry 1965-1999. , 2001, Diabetes care.

[38]  R. Klein,et al.  The 30-Year Natural History of Type 1 Diabetes Complications , 2006, Diabetes.

[39]  Nick C Fox,et al.  Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration , 2013, The Lancet Neurology.

[40]  A Parving,et al.  Evidence for Diabetic Encephalopathy , 1991, Diabetic medicine : a journal of the British Diabetic Association.

[41]  C. Rosano,et al.  Subclinical Brain Magnetic Resonance Imaging Abnormalities Predict Physical Functional Decline in High‐Functioning Older Adults , 2005, Journal of the American Geriatrics Society.

[42]  H. Christensen,et al.  MRI hyperintensities and depressive symptoms in a community sample of individuals 60-64 years old. , 2005, The American journal of psychiatry.