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Impact of Metabolic Syndrome on the White Matter Integrity in Alzheimer’s Disease Patients : Tract-Based Spatial Statistics Study under 3-Tesla MRI

김영훈|김지훈|이영민|문치웅|정영인|정희정|김학진|김태형|이병대|박제민|문은수|이강윤|서화규
대한노인정신의학회 (Korean Association For Geriatric Psychiatry)|2016.10|노인정신의학 (Journal of Korean Geriatric Psychiatry)|제20권 제2호|pp. 96-101

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참고문헌

키워드

Alzheimer’s diseaseMetabolic syndromeDiffusion tensor imagingWhite matter integrity

초록

Objective：The aim of this study is to determine whether there is any difference in white matter (WM) integrity between Alzheimer’s disease (AD) with metabolic syndrome (MetS) and without MetS. Methods：Altogether, 30 subjects were finally recruited from the Memory Impairment Clinics of Pusan National University Hospital in Korea. All subjects (AD with MetS : n=15, matched AD without MetS for age, gender and year of education : n=15) were underwent 3-tesla magnetic resonance imaging scans of diffusion tensor imaging. Results：The mean fractional anisotropy of the AD with MetS was lower (p＜0.05) in right posterior corona radiate, right corticospinal tract and right superior longitudinal fasciculus than that of the AD without MetS. Conclusion：Our findings suggest that WM integrity damage.

Abstract

Objective：The aim of this study is to determine whether there is any difference in white matter (WM) integrity between Alzheimer’s disease (AD) with metabolic syndrome (MetS) and without MetS. Methods：Altogether, 30 subjects were finally recruited from the Memory Impairment Clinics of Pusan National University Hospital in Korea. All subjects (AD with MetS : n=15, matched AD without MetS for age, gender and year of education : n=15) were underwent 3-tesla magnetic resonance imaging scans of diffusion tensor imaging. Results：The mean fractional anisotropy of the AD with MetS was lower (p＜0.05) in right posterior corona radiate, right corticospinal tract and right superior longitudinal fasciculus than that of the AD without MetS. Conclusion：Our findings suggest that WM integrity damage.

참고문헌 (41)

  1. World Alzheimer Report 2015: the global impact of dementia: an analysis of prevalence, incidence, cost and trends, "Prince M", Alzheimer’s Disease International, ~ (2015)
  2. Comas-Herrera A, "Cognitive impairment in older people: future demand for long-term care services and the associated costs", Int J Geriatr Psychiatry, 22, pp.1037~1045 (2007)
  3. Matthews FE, "Epidemiological pathology of dementia: attributable-risks at death in the Medical Research Council Cognitive Function and Ageing Study", PLoS Med, 6, pp.e1000180~ (2009)
  4. Speliotes EK, "Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index", Nat Genet, 42, pp.937~948 (2010)
  5. Kastorini CM, "The effect of Mediterranean diet on metabolic syndrome and its components: a meta-analysis of 50 studies and 534,906 individuals", J Am Coll Cardiol, 57, pp.1299~1313 (2011)
  6. Case CC, "Impact of weight loss on the metabolic syndrome", Diabetes Obes Metab, 4, pp.407~414 (2002)
  7. Yaffe K, "The metabolic syndrome, inflammation, and risk of cognitive decline", JAMA, 292, pp.2237~2242 (2004)
  8. Bourdel-Marchasson I, "Insulin resistance, diabetes and cognitive function: consequences for preventative strategies", Diabetes Metab, 36, pp.173~181 (2010)
  9. Ryan CM, "Improving metabolic control leads to better working memory in adults with type 2 diabetes", Diabetes Care, 29, pp.345~351 (2006)
  10. Farooqui AA, "Metabolic syndrome as a risk factor for neurological disorders", Cell Mol Life Sci, 69, pp.741~762 (2012)
  11. Frisardi V, "Metabolic-cognitive syndrome: metabolic approach for the management of Alzheimer’s disease risk", J Alzheimers Dis, 30(Suppl 2), pp.S1~S4 (2012)
  12. Schmidt R, "White matter lesion progression, brain atrophy, and cognitive decline: the Austrian stroke prevention study", Ann Neurol, 58, pp.610~616 (2005)
  13. Segura B, "Microstructural white matter changes in metabolic syndrome: a diffusion tensor imaging study", Neurology, 73, pp.438~444 (2009)
  14. Shimoji K, "White matter alteration in metabolic syndrome: diffusion tensor analysis", Diabetes Care, 36, pp.696~700 (2013)
  15. Basser PJ, "Inferring microstructural features and the physiological state of tissues from diffusion-weighted images", NMR Biomed, 8, pp.333~344 (1995)
  16. Basser PJ, "Estimation of the effective selfdiffusion tensor from the NMR spin echo", J Magn Reson B, 103, pp.247~254 (1994)
  17. Basser PJ, "Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI", J Magn Reson B, 111, pp.209~219 (1996)
  18. Makris N, "Morphometry of in vivo human white matter association pathways with diffusion-weighted magnetic resonance imaging", Ann Neurol, 42, pp.951~962 (1997)
  19. Uluğ AM, "Clinical use of diffusion-tensor imaging for diseases causing neuronal and axonal damage", AJNR Am J Neuroradiol, 20, pp.1044~1048 (1999)
  20. McKhann G, "Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease", Neurology, 34, pp.939~944 (1984)
  21. Grundy SM, "Diagnosis and management of the metabolic syndrome: an American Heart Association", National Heart, Lung,and Blood Institute Scientific Statement, 2005, pp.112, 2735~2752
  22. Han C, "An adaptation of the Korean Mini-Mental State Examination (K-MMSE) in elderly Koreans: demographic influence and population-based norms (the AGE study)", Arch Gerontol Geriatr, 47, pp.302~310 (2008)
  23. Lee JH, "Development of the Korean version of the Consortium to Establish a Registry for Alzheimer’s Disease Assessment Packet (CERAD-K):clinical and neuropsychological assessment batteries", J Gerontol B Psychol Sci Soc Sci, 57, pp.P47~P53 (2002)
  24. Kim TH, "Korean version of Frontal Assessment Battery: psychometric properties and normative data", Dement Geriatr Cogn Disord, 29, pp.363~370 (2010)
  25. 구형모, "일상활동평가-복합(Seoul-Instrumental Activities of Daily Living ; S-IADL)의 신뢰도 및 타당도 연구", 신경정신의학, 43(2), pp.189~199 (2004), 대한신경정신의학회
  26. Hixson JE, "Restriction isotyping of human apolipoprotein E by gene amplification and cleavage with HhaI", J Lipid Res, 31, pp.545~548 (1990)
  27. Smith SM, "Advances in functional and structural MR image analysis and implementation as FSL", Neuroimage, 23(Suppl 1), pp.S208~S219 (2004)
  28. Grundy SM, "Clinical management of metabolic syndrome: report of the American Heart Association", National Heart, Lung, and Blood Institute, Circulation, pp.2004, 109[DOI]
  29. Smith SM, "Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data", Neuroimage, 31, pp.1487~1505 (2006)
  30. Smith SM, "Acquisition and voxelwise analysis of multisubject diffusion data with tract-based spatial statistics", Nat Protoc, 2, pp.499~503 (2007)
  31. Smith SM, "Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference", Neuroimage, 44, pp.83~98 (2009)
  32. Ryan L, "White matter integrity in older females is altered by increased body fat", Obesity (Silver Spring), 22, pp.2039~2046 (2014)
  33. Verstynen TD, "Competing physiological pathways link individual differences in weight and abdominal adiposity to white matter microstructure", Neuroimage, 79, pp.129~137 (2013)
  34. Shott ME, "Orbitofrontal cortex volume and brain reward response in obesity", Int J Obes (Lond), 39, pp.214~221 (2015)
  35. Dennis EL, "Obesity gene NEGR1 associated with white matter integrity in healthy young adults", Neuroimage, 102(Pt 2), pp.548~557 (2014)
  36. Willer CJ, "Six new loci associated with body mass index highlight a neuronal influence on body weight regulation", Nat Genet, 41, pp.25~34 (2009)
  37. Cohen JI, "Abnormal cholesterol is associated with prefrontal white matter abnormalities among obese adults: a diffusion tensor imaging study", Neuroradiol J, 24, pp.854~861 (2011)
  38. Park K, "Significant association between leukoaraiosis and metabolic syndrome in healthy subjects", Neurology, 69, pp.974~978 (2007)
  39. Furie KL, "Metabolic syndrome: a target for preventing leukoaraiosis and age-related dementia", Neurology, 69, pp.951~952 (2007)
  40. Liu Y, "Diffusion tensor imaging and tract-based spatial statistics in Alzheimer’s disease and mild cognitive impairment", Neurobiol Aging, 32, pp.1558~1571 (2011)
  41. Bosch B, "Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance", Neurobiol Aging, 33, pp.61~74 (2012)

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