White Matter Connectivity Abnormalities in Prediabetes and Type 2 Diabetes: The Maastricht Study

被引:32
|
作者
Vergoossen, Laura W. [1 ,2 ,3 ]
Schram, Miranda T. [3 ,4 ,5 ]
de Jong, Joost J. [1 ,2 ]
Stehouwer, Coen D. [3 ,4 ]
Schaper, Nicolaas C. [3 ,4 ,6 ]
Henry, Ronald M. [3 ,4 ]
van der Kallen, Carla J. [3 ,4 ]
Dagnelie, Pieter C. [3 ,4 ]
van Boxtel, Martin P. [2 ]
Eussen, Simone J. [3 ,7 ]
Backes, Walter H. [1 ,2 ]
Jansen, Jacobus F. [1 ,2 ,8 ]
机构
[1] Maastricht Univ, Dept Radiol & Nucl Med, Med Ctr, Maastricht, Netherlands
[2] Maastricht Univ, Sch Mental Hlth & Neurosci MHeNs, Maastricht, Netherlands
[3] Maastricht Univ, Sch Cardiovasc Dis CARIM, Maastricht, Netherlands
[4] Maastricht Univ, Dept Internal Med, Med Ctr, Maastricht, Netherlands
[5] Maastricht Univ, Heart & Vasc Ctr, Med Ctr, Maastricht, Netherlands
[6] Maastricht Univ, Sch Publ Hlth & Primary Care CAPHRI, Maastricht, Netherlands
[7] Maastricht Univ, Dept Epidemiol, Maastricht, Netherlands
[8] Eindhoven Univ Technol, Dept Elect Engn, Eindhoven, Netherlands
关键词
BRAIN-TISSUE SEGMENTATION; GLUCOSE-TOLERANCE; MRI; NETWORKS; MELLITUS; VOLUMES; RISK;
D O I
10.2337/dc19-0762
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVE Prediabetes and type 2 diabetes are associated with structural brain abnormalities, often observed in cognitive disorders. Besides visible lesions, (pre)diabetes might also be associated with alterations of the intrinsic organization of the white matter. In this population-based cohort study, the association of prediabetes and type 2 diabetes with white matter network organization was assessed. RESEARCH DESIGN AND METHODS In the Maastricht Study, a type 2 diabetes-enriched population-based cohort study (1,361 subjects with normal glucose metabolism, 348 with prediabetes, and 510 with type 2 diabetes assessed by oral glucose tolerance test; 52% men; aged 59 +/- 8 years), 3 Tesla structural and diffusion MRI was performed. Whole-brain white matter tractography was used to assess the number of connections (node degree) between 94 brain regions and the topology (graph measures). Multivariable linear regression analyses were used to investigate the associations of glucose metabolism status with network measures. Associations were adjusted for age, sex, education, and cardiovascular risk factors. RESULTS Prediabetes and type 2 diabetes were associated with lower node degree after full adjustment (standardized [st]beta(Prediabetes) = -0.055 [95% CI -0.172, 0.062], st beta(Type2diabetes) = -0.256 [-0.379, -0.133], P-trend < 0.001). Prediabetes was associated with lower local efficiency (st beta = -0.084 [95% CI -0.159, -0.008], P = 0.033) and lower clustering coefficient (st beta = -0.097 [95% CI -0.189, -0.005], P = 0.049), whereas type 2 diabetes was not. Type 2 diabetes was associated with higher communicability (st beta = 0.148 [95% CI 0.042, 0.253], P = 0.008). CONCLUSIONS These findings indicate that prediabetes and type 2 diabetes are associated with fewer white matter connections and weaker organization of white matter networks. Type 2 diabetes was associated with higher communicability, which was not yet observed in prediabetes and may reflect the use of alternative white matter connections.
引用
收藏
页码:201 / 208
页数:8
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