Type 2 diabetes mellitus accelerates brain aging and cognitive decline: Complementary findings from UK Biobank and meta-analyses

被引:126
作者
Antal, Botond [1 ,2 ,8 ]
McMahon, Liam P. [1 ,2 ,8 ]
Sultan, Syed Fahad [3 ]
Lithen, Andrew [1 ,2 ,8 ]
Wexler, Deborah J. [4 ,7 ]
Dickerson, Bradford [2 ,5 ,8 ]
Ratai, Eva-Maria [2 ,8 ]
Mujica-Parodi, Lilianne R. [1 ,2 ,6 ,8 ]
机构
[1] SUNY Stony Brook, Dept Biomed Engn, Stony Brook, NY 11794 USA
[2] Massachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USA
[3] SUNY Stony Brook, Dept Comp Sci, Stony Brook, NY USA
[4] Massachusetts Gen Hosp, Diabet Ctr, Boston, MA USA
[5] Massachusetts Gen Hosp, Dept Neurol, Boston, MA USA
[6] SUNY Stony Brook, Dept Neurol, Sch Med, Stony Brook, NY 11794 USA
[7] Harvard Med Sch, Boston, MA USA
[8] Harvard Med Sch, Charlestown, MA 02129 USA
基金
美国国家科学基金会; 英国医学研究理事会;
关键词
neuroimaging; diabetes; aging; MRI; functional MRI; brain; Human; GLUCOSE-TRANSPORTER GLUT4; GLYCEMIC CONTROL; EXPRESSION; VISUALIZATION; ACETYLCHOLINE; LOCALIZATION; SOFTWARE; US;
D O I
10.7554/eLife.73138
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Type 2 diabetes mellitus (T2DM) is known to be associated with neurobiological and cognitive deficits; however, their extent, overlap with aging effects, and the effectiveness of existing treatments in the context of the brain are currently unknown. Methods: We characterized neurocognitive effects independently associated with T2DM and age in a large cohort of human subjects from the UK Biobank with cross-sectional neuroimaging and cognitive data. We then proceeded to evaluate the extent of overlap between the effects related to T2DM and age by applying correlation measures to the separately characterized neurocognitive changes. Our findings were complemented by meta-analyses of published reports with cognitive or neuroimaging measures for T2DM and healthy controls (HCs). We also evaluated in a cohort of T2DM-diagnosed individuals using UK Biobank how disease chronicity and metformin treatment interact with the identified neurocognitive effects. Results: The UK Biobank dataset included cognitive and neuroimaging data (N = 20,314), including 1012 T2DM and 19,302 HCs, aged between 50 and 80 years. Duration of T2DM ranged from 0 to 31 years (mean 8.5 & PLUSMN; 6.1 years); 498 were treated with metformin alone, while 352 were unmedicated. Our meta-analysis evaluated 34 cognitive studies (N = 22,231) and 60 neuroimaging studies: 30 of T2DM (N = 866) and 30 of aging (N = 1088). Compared to age, sex, education, and hypertension-matched HC, T2DM was associated with marked cognitive deficits, particularly in executive functioning and processing speed. Likewise, we found that the diagnosis of T2DM was significantly associated with gray matter atrophy, primarily within the ventral striatum, cerebellum, and putamen, with reorganization of brain activity (decreased in the caudate and premotor cortex and increased in the subgenual area, orbitofrontal cortex, brainstem, and posterior cingulate cortex). The structural and functional changes associated with T2DM show marked overlap with the effects correlating with age but appear earlier, with disease duration linked to more severe neurodegeneration. Metformin treatment status was not associated with improved neurocognitive outcomes. Conclusions: The neurocognitive impact of T2DM suggests marked acceleration of normal brain aging. T2DM gray matter atrophy occurred approximately 26% & PLUSMN; 14% faster than seen with normal aging; disease duration was associated with increased neurodegeneration. Mechanistically, our results suggest a neurometabolic component to brain aging. Clinically, neuroimaging-based biomarkers may provide a valuable adjunctive measure of T2DM progression and treatment efficacy based on neurological effects.
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页数:24
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