Brain Function and Structure and Risk for Incident Diabetes: The Atherosclerosis Risk in Communities Study

Overview

Journal Alzheimers Dement

Specialties Neurology
Psychiatry

Date 2017 Jun 19

PMID 28624149

Citations 6

Authors

Michael P Bancks

Alvaro Alonso

Rebecca F Gottesman

Thomas H Mosley

Elizabeth Selvin

James S Pankow

Affiliations

Soon will be listed here.

Abstract

Introduction: Diabetes is prospectively associated with cognitive decline. Whether lower cognitive function and worse brain structure are prospectively associated with incident diabetes is unclear.

Methods: We analyzed data for 10,133 individuals with cognitive function testing (1990-1992) and 1212 individuals with brain magnetic resonance imaging (1993-1994) from the Atherosclerosis Risk in Communities cohort. We estimated hazard ratios for incident diabetes through 2014 after adjustment for traditional diabetes risk factors and cohort attrition.

Results: Higher level of baseline cognitive function was associated with lower risk for diabetes (per 1 standard deviation, hazard ratio = 0.94; 95% confidence interval = 0.90, 0.98). This association did not persist after accounting for baseline glucose level, case ascertainment methods, and cohort attrition. No association was observed between any brain magnetic resonance imaging measure and incident diabetes.

Discussion: This is one of the first studies to prospectively evaluate the association between both cognitive function and brain structure and the incidence of diabetes.

Citing Articles

The hemodynamic response function as a type 2 diabetes biomarker: a data-driven approach.

Guimaraes P, Serranho P, Duarte J, Crisostomo J, Moreno C, Gomes L Front Neuroinform. 2024; 17:1321178.

PMID: 38250018 PMC: 10796780. DOI: 10.3389/fninf.2023.1321178.

A novel morphometric signature of brain alterations in type 2 diabetes: Patterns of changed cortical gyrification.

Crisostomo J, Duarte J, Moreno C, Gomes L, Castelo-Branco M Eur J Neurosci. 2021; 54(6):6322-6333.

PMID: 34390585 PMC: 9291170. DOI: 10.1111/ejn.15424.

Potential Biochemical Mechanisms of Brain Injury in Diabetes Mellitus.

Ma W, Tang J, Lei Z, Li C, Zhao L, Lin C Aging Dis. 2020; 11(4):978-987.

PMID: 32765958 PMC: 7390528. DOI: 10.14336/AD.2019.0910.

Latinx with Type 2 Diabetes: Perceptions of Cognitive Health.

Cuevas H, Zuniga J J Immigr Minor Health. 2020; 23(2):337-343.

PMID: 32166536 DOI: 10.1007/s10903-020-00995-7.

Regional myocardial motion in patients with mild cognitive impairment: a pilot study.

Ma H, Yang J, Xie H, Liu J, Wang F, Xu X BMC Cardiovasc Disord. 2018; 18(1):79.

PMID: 29720085 PMC: 5932804. DOI: 10.1186/s12872-018-0824-2.

References

Stern M . Diabetes and cardiovascular disease. The "common soil" hypothesis. Diabetes. 1995; 44(4):369-74. DOI: 10.2337/diab.44.4.369. View

Xu W, Qiu C, Gatz M, Pedersen N, Johansson B, Fratiglioni L . Mid- and late-life diabetes in relation to the risk of dementia: a population-based twin study. Diabetes. 2008; 58(1):71-7. PMC: 2606895. DOI: 10.2337/db08-0586. View

Cukierman-Yaffe T, Kasher-Meron M, Fruchter E, Gerstein H, Afek A, Derazne E . Cognitive Performance at Late Adolescence and the Risk for Impaired Fasting Glucose Among Young Adults. J Clin Endocrinol Metab. 2015; 100(12):4409-16. DOI: 10.1210/jc.2015-2012. View

Xiu L, Wahlqvist M, Lee M, Chen R . Cognitive impairment and limited dietary diversity or physical inactivity are conjoint precursors of incident diabetes more so in elderly women than men. Asia Pac J Clin Nutr. 2013; 22(4):635-45. DOI: 10.6133/apjcn.2013.22.4.20. View

Chatterjee S, Peters S, Woodward M, Mejia Arango S, Batty G, Beckett N . Type 2 Diabetes as a Risk Factor for Dementia in Women Compared With Men: A Pooled Analysis of 2.3 Million People Comprising More Than 100,000 Cases of Dementia. Diabetes Care. 2015; 39(2):300-7. PMC: 4722942. DOI: 10.2337/dc15-1588. View

Pan A, Lucas M, Sun Q, van Dam R, Franco O, Manson J . Bidirectional association between depression and type 2 diabetes mellitus in women. Arch Intern Med. 2010; 170(21):1884-91. PMC: 3065781. DOI: 10.1001/archinternmed.2010.356. View

Ruiz H, Chi T, Shin A, Lindtner C, Hsieh W, Ehrlich M . Increased susceptibility to metabolic dysregulation in a mouse model of Alzheimer's disease is associated with impaired hypothalamic insulin signaling and elevated BCAA levels. Alzheimers Dement. 2016; 12(8):851-61. PMC: 5358328. DOI: 10.1016/j.jalz.2016.01.008. View

Leibowitz S, Wortley K . Hypothalamic control of energy balance: different peptides, different functions. Peptides. 2004; 25(3):473-504. DOI: 10.1016/j.peptides.2004.02.006. View

Selvin E, Coresh J, Zhu H, Folsom A, Steffes M . Measurement of HbA1c from stored whole blood samples in the Atherosclerosis Risk in Communities study. J Diabetes. 2010; 2(2):118-24. PMC: 2991637. DOI: 10.1111/j.1753-0407.2010.00070.x. View

10.

DeCarli C, Massaro J, Harvey D, Hald J, Tullberg M, Au R . Measures of brain morphology and infarction in the framingham heart study: establishing what is normal. Neurobiol Aging. 2005; 26(4):491-510. DOI: 10.1016/j.neurobiolaging.2004.05.004. View

11.

Brown L, Majumdar S, Newman S, Johnson J . History of depression increases risk of type 2 diabetes in younger adults. Diabetes Care. 2005; 28(5):1063-7. DOI: 10.2337/diacare.28.5.1063. View

12.

. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators. Am J Epidemiol. 1989; 129(4):687-702. View

13.

Cheng G, Huang C, Deng H, Wang H . Diabetes as a risk factor for dementia and mild cognitive impairment: a meta-analysis of longitudinal studies. Intern Med J. 2012; 42(5):484-91. DOI: 10.1111/j.1445-5994.2012.02758.x. View

14.

Kopp M, Falger P, Appels A, Szedmak S . Depressive symptomatology and vital exhaustion are differentially related to behavioral risk factors for coronary artery disease. Psychosom Med. 1998; 60(6):752-8. DOI: 10.1097/00006842-199811000-00018. View

15.

Weuve J, Tchetgen Tchetgen E, Glymour M, Beck T, Aggarwal N, Wilson R . Accounting for bias due to selective attrition: the example of smoking and cognitive decline. Epidemiology. 2011; 23(1):119-28. PMC: 3237815. DOI: 10.1097/EDE.0b013e318230e861. View

16.

Steen E, Terry B, Rivera E, Cannon J, Neely T, Tavares R . Impaired insulin and insulin-like growth factor expression and signaling mechanisms in Alzheimer's disease--is this type 3 diabetes?. J Alzheimers Dis. 2005; 7(1):63-80. DOI: 10.3233/jad-2005-7107. View

17.

Rosmond R, Bjorntorp P . The hypothalamic-pituitary-adrenal axis activity as a predictor of cardiovascular disease, type 2 diabetes and stroke. J Intern Med. 2000; 247(2):188-97. DOI: 10.1046/j.1365-2796.2000.00603.x. View

18.

Jack Jr C, Knopman D, Jagust W, Shaw L, Aisen P, Weiner M . Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade. Lancet Neurol. 2010; 9(1):119-28. PMC: 2819840. DOI: 10.1016/S1474-4422(09)70299-6. View

19.

de la Monte S, Wands J . Alzheimer's disease is type 3 diabetes-evidence reviewed. J Diabetes Sci Technol. 2009; 2(6):1101-13. PMC: 2769828. DOI: 10.1177/193229680800200619. View

20.

Bryan R, Manolio T, Schertz L, Jungreis C, Poirier V, Elster A . A method for using MR to evaluate the effects of cardiovascular disease on the brain: the cardiovascular health study. AJNR Am J Neuroradiol. 1994; 15(9):1625-33. PMC: 8333726. View