TY - JOUR
T1 - Accelerated brain aging in individuals with diabetes
T2 - Association with poor glycemic control and increased all-cause mortality
AU - Jha, Manish K.
AU - Chin Fatt, Cherise R.
AU - Minhajuddin, Abu
AU - Mayes, Taryn
AU - Berry, Jarett D.
AU - Trivedi, Madhukar H.
N1 - Funding Information:
The Dallas Heart Study was initially funded by the Donald W. Reynolds Foundation and is now supported by the Hoffman Family Center in Genetics and Epidemiology and the National Center for Advancing Translational Sciences (NCATS). This work was also supported in part through the Center for Depression Research and Clinical Care (Principal Investigator: Madhukar H. Trivedi, MD), Hersh Foundation , and O’Donnell Brain Institute ( including O'Donnell Clincal Neuroscience Scholar Award to Manish K. Jha ). The content of this publication does not necessarily reflect the views or policies of the U.S. Department of Health and Human Services. NCATS had no role in the drafting or review of the manuscript or in the collection or analysis of the data.
Funding Information:
The Dallas Heart Study was initially funded by the Donald W. Reynolds Foundation and is now supported by the Hoffman Family Center in Genetics and Epidemiology and the National Center for Advancing Translational Sciences (NCATS). This work was also supported in part through the Center for Depression Research and Clinical Care (Principal Investigator: Madhukar H. Trivedi, MD), Hersh Foundation, and O'Donnell Brain Institute (including O'Donnell Clincal Neuroscience Scholar Award to Manish K. Jha). The content of this publication does not necessarily reflect the views or policies of the U.S. Department of Health and Human Services. NCATS had no role in the drafting or review of the manuscript or in the collection or analysis of the data.
Publisher Copyright:
© 2022
PY - 2022/11
Y1 - 2022/11
N2 - Background: Diabetes has been linked to accelerated brain aging, i.e., neuroimaging-predicted age of brain is higher than chronological age. This report evaluated whether accelerated brain aging in diabetes is associated with higher levels of glycated hemoglobin (HbA1c) and increased mortality. Methods: Brain age in Dallas Heart Study (n = 1949) was estimated using T1-weighted magnetic resonance imaging (MRI) scans and a previously-published Gaussian Processes Regression model. Accelerated brain aging (adjusted Δ brain age) was computed as follows: (brain age adjusted for chronological age)-minus-(chronological age). Mortality data until 12/31/2016 were obtained from the National Death Index. Associations of adjusted Δ brain age with diabetes in full sample and with HbA1c in individuals with diabetes were evaluated. Proportion of association between diabetes and all-cause mortality that was accounted for by adjusted Δ brain age were evaluated with mediation analyses. Covariates included Framingham 10-year risk score, race/ethnicity, income, body mass index, and history of myocardial infarction. Results: Diabetes was associated with] higher adjusted Δ brain age [estimate= 1.79; 95% confidence interval (CI): 0.889, 2.68]. Among those with diabetes, higher HbA1c (log-base-2-transformed) was associated with higher adjusted Δ brain age (estimate=3.88; 95% CI: 1.47, 6.30). Over a median follow-up of 97.5 months, 24/246 (9.8%) with diabetes and 63/1703 (3.7%) without diabetes died. Adjusted Δ brain age accounted for 65.3 (95% CI: 39.3, 100.0)% of the association between diabetes and all-cause mortality. Conclusion: Accelerated brain aging may be related to poor glycemic control in diabetes and partly account for the association between diabetes and all-cause mortality.
AB - Background: Diabetes has been linked to accelerated brain aging, i.e., neuroimaging-predicted age of brain is higher than chronological age. This report evaluated whether accelerated brain aging in diabetes is associated with higher levels of glycated hemoglobin (HbA1c) and increased mortality. Methods: Brain age in Dallas Heart Study (n = 1949) was estimated using T1-weighted magnetic resonance imaging (MRI) scans and a previously-published Gaussian Processes Regression model. Accelerated brain aging (adjusted Δ brain age) was computed as follows: (brain age adjusted for chronological age)-minus-(chronological age). Mortality data until 12/31/2016 were obtained from the National Death Index. Associations of adjusted Δ brain age with diabetes in full sample and with HbA1c in individuals with diabetes were evaluated. Proportion of association between diabetes and all-cause mortality that was accounted for by adjusted Δ brain age were evaluated with mediation analyses. Covariates included Framingham 10-year risk score, race/ethnicity, income, body mass index, and history of myocardial infarction. Results: Diabetes was associated with] higher adjusted Δ brain age [estimate= 1.79; 95% confidence interval (CI): 0.889, 2.68]. Among those with diabetes, higher HbA1c (log-base-2-transformed) was associated with higher adjusted Δ brain age (estimate=3.88; 95% CI: 1.47, 6.30). Over a median follow-up of 97.5 months, 24/246 (9.8%) with diabetes and 63/1703 (3.7%) without diabetes died. Adjusted Δ brain age accounted for 65.3 (95% CI: 39.3, 100.0)% of the association between diabetes and all-cause mortality. Conclusion: Accelerated brain aging may be related to poor glycemic control in diabetes and partly account for the association between diabetes and all-cause mortality.
KW - Accelerated brain aging
KW - Brain age
KW - Dallas Heart Study
KW - Diabetes
KW - HbA1c
KW - Mortality
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U2 - 10.1016/j.psyneuen.2022.105921
DO - 10.1016/j.psyneuen.2022.105921
M3 - Article
C2 - 36126385
AN - SCOPUS:85138077926
SN - 0306-4530
VL - 145
JO - Psychoneuroendocrinology
JF - Psychoneuroendocrinology
M1 - 105921
ER -