4.7 Article

Prediabetes Is Associated With Structural Brain Abnormalities: The Maastricht Study

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DIABETES CARE
卷 41, 期 12, 页码 2535-2543

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AMER DIABETES ASSOC
DOI: 10.2337/dc18-1132

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资金

  1. European Regional Development Fund via OP-Zuid
  2. Province of Limburg
  3. Dutch Ministry of Economic Affairs and Climate Policy [31O.041]
  4. Stichting De Weijerhorst (Maastricht, the Netherlands)
  5. Pearl String Initiative Diabetes (Amsterdam, the Netherlands)
  6. School for Cardiovascular Diseases (CARIM)
  7. Care and Public Health Research Institute
  8. Cardiovascular Center (Maastricht, the Netherlands)
  9. School for Nutrition and Translational Research in Metabolism (Maastricht, the Netherlands)
  10. Stichting Annadal (Maastricht, the Netherlands)
  11. Health Foundation Limburg (Maastricht, the Netherlands)

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OBJECTIVE Structural brain abnormalities are key risk factors for brain diseases, such as dementia, stroke, and depression, in type 2 diabetes. It is unknown whether structural brain abnormalities already occur in prediabetes. Therefore, we investigated whether both prediabetes and type 2 diabetes are associated with lacunar infarcts (LIs), white matter hyperintensities (WMHs), cerebral microbleeds (CMBs), and brain atrophy. RESEARCH DESIGN and METHODS We used data from 2,228 participants (1,373 with normal glucose metabolism [NGM], 347 with prediabetes, and 508 with type 2 diabetes (oversampled); mean age 59.2 +/- 8.2 years; 48.3% women) of the Maastricht Study, a population-based cohort study. Diabetes status was determined with an oral glucose tolerance test. Brain imaging was performed with 3 Tesla MRI. Results were analyzed with multivariable logistic and linear regression analyses. RESULTS Prediabetes and type 2 diabetes were associated with the presence of LIs (odds ratio 1.61 [95% CI 0.98-2.63] and 1.67 [1.04-2.68], respectively; P-trend = 0.027), larger WMH (beta 0.07 log10-transformed mL [log-mL] [95% CI 0.00-0.15] and 0.21 log-mL [0.14-0.28], respectively; P-trend <0.001), and smaller white matter volumes (beta -4.0 mL [-7.3 to -0.6] and -7.2 mL [-10.4 to -4.0], respectively; P-trend <0.001) compared with NGM. Prediabetes was not associated with gray matter volumes or the presence of CMBs. CONCLUSIONS Prediabetes is associated with structural brain abnormalities, with further deterioration in type 2 diabetes. These results indicate that, in middle-aged populations, structural brain abnormalities already occur in prediabetes, which may suggest that the treatment of early dysglycemia may contribute to the prevention of brain diseases.

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