Amaryllis A Tsiknia, Victoria R Tennant, Noelle Lee, Brandon J Hall, Raul Vintimilla, Nalini Hazra, Deydeep Kothapalli, Arthur W Toga, Sid E O'Bryant, Rajesh R Nandy, Alexandra L Clark, Melissa Petersen, Kristine Yaffe, Meredith N Braskie
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引用次数: 0
Abstract
Introduction: Mechanisms linking type 2 diabetes mellitus (T2DM) with dementia are poorly understood. We examined T2DM associations with cortical thickness and hippocampal volume in ethnoracially diverse, cognitively unimpaired older adults.
Methods: In 2171 cognitively unimpaired older adults, we examined (1) how T2DM related to cortical thickness and hippocampal volume, (2) whether associations were independent of socioeconomic factors and comorbidities, (3) whether associations were driven by hyperglycemia or hyperinsulinemia, and (4) how associations varied by self-reported race/ethnicity.
Results: T2DM was correlated with thinner cortex independent of socioeconomic factors and comorbidities, and this was driven by higher hemoglobin A1c (HbA1c). Higher HbA1c levels were correlated with thinner cortex in diabetics and non-diabetics. T2DM-cortical thickness associations were strong and widespread in Hispanic participants, modest and limited to temporal regions in non-Hispanic White participants, and not present in non-Hispanic Black adults.
Discussion: T2DM is associated with a thinner cortex, and this is driven by poor glycemic control.
Highlights: T2DM is associated with a thinner cortex.The T2DM-cortical thickness relationship is likely driven by poor glucose control.Higher HbA1c levels correlated with thinner cortex in diabetics and non-diabetics.The T2DM-cortical thickness association varied by self-reported ethnicity/race.
期刊介绍：
Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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