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

Neurology

Volumn 84, Issue 20, 2015, Pages 2062-2069

  Nunley, Karen A ^a   Ryan, Christopher M ^b   Orchard, Trevor J ^a   Aizenstein, Howard J ^b   Jennings, J Richard ^b   Ryan, John ^b   Zgibor, Janice C ^a   Boudreau, Robert M ^a   Costacou, Tina ^a   Maynard, John D ^c,d   Miller, Rachel G ^a   Rosano, Caterina ^a  

^a Graduate School of Public Health   (United States)

^b School of Medicine   (United States)

^c UNIVERSITY OF PITTSBURGH   (United States)

^d VeraLight Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BLOOD PRESSURE; BRAIN DISEASE; BRAIN INFARCTION; CEREBROVASCULAR DISEASE; CHILDHOOD; COGNITION; CONTROLLED STUDY; DIABETIC NEUROPATHY; DIABETIC PATIENT; DIGIT SYMBOL SUBSTITUTION TEST; DISEASE ASSOCIATION; DISEASE DURATION; DISEASE SEVERITY; FAZEKAS SCORE; FEMALE; HUMAN; HYPERGLYCEMIA; INFORMATION PROCESSING; INSULIN DEPENDENT DIABETES MELLITUS; LIFE EXPECTANCY; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; NEUROIMAGING; NEUROPATHY; ONSET AGE; PREHYPERTENSION; PRIORITY JOURNAL; PROSPECTIVE STUDY; RISK FACTOR; SCORING SYSTEM; SMOKING; WHITE MATTER; WHITE MATTER HYPERINTENSITY; WHITE MATTER LESION; BRAIN; DIABETES MELLITUS, TYPE 1; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PSYCHOLOGY;

ADULT; BRAIN; DIABETES MELLITUS, TYPE 1; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PROSPECTIVE STUDIES; RISK FACTORS; WHITE MATTER;

EID: 84929646319     PISSN: 00283878     EISSN: 1526632X     Source Type: Journal    
DOI: 10.1212/WNL.0000000000001582     Document Type: Article

References (39)

1. Ryan CM. Diabetes, aging, and cognitive decline. Neurobiol Aging 2005;26(suppl 1):21-25.
2. Jacobs HIL, Leritz EC, Williams VJ, et al. Association between white matter microstructure, executive functions, and processing speed in older adults: the impact of vascular health. Hum Brain Mapp 2013;34:77-95.
3. Rosano C, Newman AB, Katz R, Hirsch CH, Kuller LH. 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. J Am Geriatr Soc 2008; 56:1618-1625.
4. Biessels GJ, Reijmer YD. Brain changes underlying cognitive dysfunction in diabetes: what can we learn from MRI Diabetes 2014;63:2244-2252.
5. Wardlaw JM, Smith EE, Biessels GJ, et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol 2013;12:822-838.
6. de Leeuw FE, de Groot JC, Achten E, et al. Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study. The Rotterdam Scan Study. J Neurol Neurosurg Psychiatry 2001;70:9-14.
7. Rostrup E, Gouw AA, Vrenken H, et al. The spatial distribution of age-related white matter changes as a function of vascular risk factors: results from the LADIS study. Neuroimage 2012;60:1597-1607.
8. Wen W, Sachdev PS, Li JJ, Chen X, Anstey KJ. White matter hyperintensities in the forties: their prevalence and topography in an epidemiological sample aged 44-48. Hum Brain Mapp 2009;30:1155-1167.
9. Rosano C, Chang YF, Kuller LH, et al. Long-term survival in adults 65 years and older with white matter hyperintensity: association with performance on the Digit Symbol Substitution Test. Psychosom Med 2013;75:624-631.
10. Rosano C, Kuller LH, Chung H, Arnold AM, Longstreth WT, Newman AB. Subclinical brain magnetic resonance imaging abnormalities predict physical functional decline in high-functioning older adults. J Am Geriatr Soc 2005;53:649-654.
11. Debette S, Markus HS. The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ 2010;341:c3666.
12. Miller RG, Secrest AM, Sharma RK, Songer TJ, Orchard TJ. Improvements in the life expectancy of type 1 diabetes: the Pittsburgh Epidemiology of Diabetes Complications Study cohort. Diabetes 2012;61:2987-2992.
13. Lipman TH, Levitt Katz LE, Ratcliffe SJ, et al. Increasing incidence of type 1 diabetes in youth: twenty years of the Philadelphia Pediatric Diabetes Registry. Diabetes Care 2013;36:1597-1603.
14. Dejgaard A, Gade A, Larsson H, Balle V, Parving A, Parving HH. Evidence for diabetic encephalopathy. Diabetes Med 1991;8:162-167.
15. Yousem D, Tasman W, Grossman RI. Proliferative retinopathy: absence of white matter lesions at MR imaging. Radiology 1991;179:229-230.
16. Brands AM, Kessels RP, Hoogma RP, et al. Cognitive performance, psychological well-being, and brain magnetic resonance imaging in older patients with type 1 diabetes. Diabetes 2006;55:1800-1806.
17. Lobnig BM, Kromeke O, Optenhostert-Porst C, Wolf OT. Hippocampal volume and cognitive performance in longstanding type 1 diabetic patients without macrovascular complications. Diabetic Med 2006;23:32-39.
18. Weinger K, Jacobson AM, Musen G, et al. The effects of type 1 diabetes on cerebral white matter. Diabetologia 2007;51:417-425.
19. Perros P, Deary I, Sellar R, Best J, 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.
20. 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.
21. 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.
22. Woerdeman J, van Duinkerken E, Wattjes MP, et al. Proliferative retinopathy in type 1diabetes is associated with cerebral microbleeds, which is part of generalized microangiopathy. Diabetes Care 2014;37:1165-1168.
23. Pambianco G, Costacou T, Ellis D, Becker DJ, Klein R, Orchard TJ. The 30-year natural history of type 1 diabetes complications: the Pittsburgh Epidemiology of Diabetes Complications Study experience. Diabetes 2006;55:1463-1469.
24. Conway BN, Aroda VR, Maynard JD, et al. Skin intrinsic fluorescence is associated with coronary artery disease in individuals with long duration of type 1 diabetes. Diabetes Care 2012;35:2331-2336.
25. Wu M, Carmichael O, Lopez-Garcia P, Carter CS, Aizenstein HJ. Quantitative comparison of AIR, SPM, and the fully deformable model for atlas-based segmentation of functional and structural MR images. Hum Brain Mapp 2006;27:747-754.
26. Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. Am J Neuroradiol 1987;8:421-426.
27. Olsson E, Klasson N, Berge J, 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. J Aging Res 2013;2013:198471.
28. Gunning-Dixon FM, Raz N. The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. Neuropsychology 2000;14:224-232.
29. Murray AD, Staff RT, Shenkin SD, Deary IJ, Starr JM, Whalley LJ. Brain white matter hyperintensities: relative importance of vascular risk factors in nondemented elderly people. Radiology 2005;237:251-257.
30. Jorm A, Anstey K, Christensen H, et al. MRI hyperintensities and depressive symptoms in a community sample of individuals 60-64 years old. Am J Psychiatry 2005;162: 699-704.
31. Soderlund H, Nyberg L, Adolfsson R, Nilsson G, Launer LJ. High prevalence of white matter hyperintensities in normal aging: relation to blood pressure and cognition. Cortex 2003;39:1093-1105.
32. Longstreth WT, Arnold AM, Beauchamp NJ, et al. Incidence, manifestations, and predictors of worsening white matter on serial cranial magnetic resonance imaging in the elderly: the Cardiovascular Health Study. Stroke 2005;36: 56-61.
33. Firbank MJ, Wiseman RM, Burton EJ, Saxby BK, O'Brien JT, Ford GA. Brain atrophy and white matter hyperintensity change in older adults and relationship to blood pressure: brain atrophy, WMH change and blood pressure. J Neurol 2007;254:713-721.
34. Kuller LH, Arnold AM, Longstreth WT Jr, et al. White matter grade and ventricular volume on brain MRI as markers of longevity in the Cardiovascular Health Study. Neurobiol Aging 2007;28:1307-1315.
35. Yan H, Rivkees SA. Hypoglycemia influences oligodendrocyte development and myelin formation. Neuroreport 2006;17:55-59.
36. Suh SW, Gum ET, Hamby AM, Chan PH, Swanson RA. Hypoglycemic neuronal death is triggered by glucose reperfusion and activation of neuronal NADPH oxidase. J Clin Invest 2007;117:910-918.
37. Nishimura R, LaPorte RE, Dorman JS, Tajima N, Becker D, Orchard TJ. Mortality trends in type 1 diabetes: the Allegheny County (Pennsylvania) registry 1965-1999. Diabetes Care 2001;24:823-827.
38. Ladouceur CD, Peper JS, Crone EA, Dahl RE. White matter development in adolescence: the influence of puberty and implications for affective disorders. Dev Cogn Neurosci 2012;2:36-54.
39. Lebel C, Gee M, Camicioli R, Wieler M, Martin W, Beaulieu C. Diffusion tensor imaging of white matter tract evolution over the lifespan. Neuroimage 2012;60: 340-352.