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      Diabetes, Prediabetes, and Brain Volumes and Subclinical Cerebrovascular Disease on MRI: The Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS)

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          Abstract

          OBJECTIVE

          To examine the associations of prediabetes, diabetes, and diabetes severity (as assessed by HbA 1c and diabetes duration) with brain volumes and vascular pathology on brain MRI and to assess whether the associations of diabetes with brain volumes are mediated by brain vascular pathology.

          RESEARCH DESIGN AND METHODS

          Cross-sectional study of 1,713 participants in the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS) (mean age 75 years, 60% female, 27% black, 30% prediabetes, and 35% diabetes) who underwent 3T brain MRI scans in 2011–2013. Participants were categorized by diabetes-HbA 1c status as without diabetes (<5.7% [reference]), with prediabetes (5.7 to <6.5%), and with diabetes ([defined as prior diagnosis or HbA 1c ≥6.5%] <7.0% vs. ≥7.0%), with further stratification by diabetes duration (<10 vs. ≥10 years).

          RESULTS

          In adjusted analyses, compared with participants without diabetes and HbA 1c <5.7%, participants with prediabetes and those with diabetes and HbA 1c <7.0% did not have significantly different brain volumes or vascular pathology (all P > 0.05), but those with diabetes and HbA 1c ≥7.0% had smaller total brain volume (β −0.20 SDs, 95% CI −0.31, −0.09), smaller regional brain volumes (including frontal, temporal, occipital, and parietal lobes; deep gray matter; Alzheimer disease signature region; and hippocampus [all P < 0.05]), and increased burden of white matter hyperintensities (WMH) ( P = 0.016). Among participants with diabetes, those with HbA 1c ≥7.0% had smaller total and regional brain volumes and an increased burden of WMH (all P < 0.05) compared with those with HbA 1c <7.0%. Similarly, participants with longer duration of diabetes (≥10 years) had smaller brain volumes and higher burden of lacunes (all P < 0.05) than those with a diabetes duration <10 years. We found no evidence for mediation by WMH in associations of diabetes with smaller brain volumes by structural equation models (all P > 0.05).

          CONCLUSIONS

          More-severe diabetes (defined by higher HbA 1c and longer disease duration) but not prediabetes or less-severe diabetes was associated with smaller brain volumes and an increased burden of brain vascular pathology. No evidence was found that associations of diabetes with smaller brain volumes are mediated by brain vascular pathology, suggesting that other mechanisms may be responsible for these associations.

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          Most cited references21

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          Cognition and diabetes: a lifespan perspective.

          Diabetes mellitus is associated with cognitive dysfunction and abnormalities that can be seen with brain imaging. Recent studies provide important new insights into the nature and severity of these cerebral complications that help to explain why some patients with diabetes have clinically relevant neurocognitive morbidity, whereas most are apparently unaffected. This Personal View investigates the hypothesis that clinically relevant diabetes-related cognitive decrements mainly occur at two crucial periods in life: when the brain is developing in childhood, and when the brain undergoes neurodegenerative changes associated with ageing. Outside of these periods cognitive decrements mainly occur in patients with notable diabetes-related comorbidities, in particular microvascular or macrovascular complications. The identification of crucial periods and conditions for the development of diabetes-related cognitive decrements helps to draw the attention of physicians to individuals at risk and can direct future studies into the mechanisms that underlie these conditions.
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            Association of Cerebral Microbleeds With Cognitive Decline and Dementia.

            Cerebral microbleeds are hypothesized downstream markers of brain damage caused by vascular and amyloid pathologic mechanisms. To date, whether their presence is associated with cognitive deterioration in the general population remains unclear.
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              Alzheimer-signature MRI biomarker predicts AD dementia in cognitively normal adults.

              Since Alzheimer disease (AD) neuropathology is thought to develop years before dementia, it may be possible to detect subtle AD-related atrophy in preclinical AD. Here we hypothesized that the "disease signature" of AD-related cortical thinning, previously identified in patients with mild AD dementia, would be useful as a biomarker to detect anatomic abnormalities consistent with AD in cognitively normal (CN) adults who develop AD dementia after longitudinal follow-up. We studied 2 independent samples of adults who were CN when scanned. In sample 1, 8 individuals developing AD dementia (CN-AD converters) after an average of 11.1 years were compared to 25 individuals who remained CN (CN-stable). In sample 2, 7 CN-AD converters (average follow-up 7.1 years) were compared to 25 CN-stable individuals. AD-signature cortical thinning in CN-AD converters in both samples was remarkably similar, about 0.2 mm (p 1). Of the 11 CN individuals with baseline low AD-signature thickness (≥ 1 SD below cohort mean), 55% developed AD dementia over nearly the next decade, while none of the 9 high AD-signature thickness individuals (≥ 1 SD above mean) developed dementia. This marker predicted time to diagnosis of dementia (hazard ratio = 3.4, p < 0.0005); 1 SD of thinning increased dementia risk by 3.4. By focusing on cortical regions known to be affected in AD dementia, subtle but reliable atrophy is identifiable in asymptomatic individuals nearly a decade before dementia, making this measure a potentially important imaging biomarker of early neurodegeneration.
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                Author and article information

                Journal
                Diabetes Care
                Diabetes Care
                diacare
                dcare
                Diabetes Care
                Diabetes Care
                American Diabetes Association
                0149-5992
                1935-5548
                November 2017
                15 September 2017
                : 40
                : 11
                : 1514-1521
                Affiliations
                [1] 1Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
                [2] 2Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
                [3] 3Center of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS
                [4] 4Department of Radiology, Mayo Clinic, Rochester, MN
                [5] 5Department of Neurology, Mayo Clinic, Rochester, MN
                [6] 6Department of Medicine, University of Mississippi Medical Center, Jackson, MS
                Author notes
                Corresponding author: Andrea L.C. Schneider, achris13@ 123456jhmi.edu .
                Author information
                http://orcid.org/0000-0003-0026-5052
                http://orcid.org/0000-0001-6923-7151
                Article
                1185
                10.2337/dc17-1185
                5652590
                28916531
                34f84ddd-8213-44c6-83d9-2776c0f22c11
                © 2017 by the American Diabetes Association.

                Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at http://www.diabetesjournals.org/content/license.

                History
                : 14 June 2017
                : 23 August 2017
                Page count
                Figures: 1, Tables: 3, Equations: 0, References: 39, Pages: 8
                Funding
                Funded by: National Heart, Lung, and Blood Institute, DOI http://dx.doi.org/10.13039/100000050;
                Award ID: HH-SN-268201100005C
                Award ID: HH-SN-268201100006C
                Award ID: HH-SN-268201100007C
                Award ID: HH-SN-268201100008C
                Award ID: HH-SN-268201100009C
                Award ID: HH-SN-268201100010C
                Award ID: HH-SN-268201100011C
                Award ID: HH-SN-268201100012C
                Award ID: U01-HL-096812
                Award ID: U01-HL-096814
                Award ID: U01-HL-096899
                Award ID: U01-HL-096902
                Award ID: U01-HL-096917
                Funded by: National Institute of Neurological Disorders and Stoke, DOI http://dx.doi.org/10.13039/100000065;
                Award ID: R25-NS-065729
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases, DOI http://dx.doi.org/10.13039/100000062;
                Award ID: K24-DK-106414
                Award ID: R01-DK-089174
                Categories
                0401
                Epidemiology/Health Services Research

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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