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. 2023 Oct;10(10):1891-1898.
doi: 10.1002/acn3.51859. Epub 2023 Jul 30.

Association between brain health outcomes and metabolic risk factors in persons with diabetes

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Association between brain health outcomes and metabolic risk factors in persons with diabetes

Evan L Reynolds et al. Ann Clin Transl Neurol. 2023 Oct.

Abstract

We performed a cross-sectional study to determine associations between cognition and MRI-derived brain outcomes, with obesity, diabetes duration, and metabolic risk factors in 51 Pima American Indians with longstanding type 2 diabetes (T2d) (mean [SD] age: 48.4 [11.3] years, T2d duration: 20.1 [9.1] years). Participants had similar cognition (NIH Toolbox Cognition Battery composite: 45.3 [9.8], p = 0.64, n = 51) compared to normative data. T2d duration, but not other metabolic risk factors, associated with decreased cortical thickness (Point Estimate (PE): -0.0061, 95%CI: -0.0113, -0.0009, n = 45), gray matter volume (PE: -830.39, 95%CI: -1503.14, -157.64, n = 45), and increased white matter hyperintensity volume (PE: 0.0389, 95%CI: 0.0049, 0.0729, n = 45).

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Conflict of interest statement

Dr. Reynolds reports no disclosures. Dr. Votruba reports no disclosures. Dr Jack has consulted and served on data safety and monitoring boards but receives no financial compensation from any commercial entity. Dr. Beare reports no disclosures. Dr. Reid reports no disclosures. Mr. Preboske reports no disclosures. Ms. Waseta reports no disclosures. Dr. Pop‐Busui receives research support from Novo Nordisk. Dr. Nelson reports no disclosures. Dr. Callaghan consults for DynaMed, receives research support from the American Academy of Neurology and performs medical legal consultations including consultations for the Vaccine Injury Compensation Program. Dr. Feldman reports no disclosures.

Figures

Figure 1
Figure 1
Correlation between T2d duration and diabetes complications with MRI‐derived structural and functional morphology. Fitted line represents results from a univariate linear regression model. Shaded area represents 95% confidence interval for predictions from the univariate linear regression model. E/I ratio, expiration/inspiration ratio; GFR, glomerular filtration rate; p, p‐value from Pearson's correlation coefficient; r, Pearson's correlation coefficient; vol., volume; WMH, white matter hyperintensities.

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