Long-term cortisol measures predict Alzheimer disease risk
Gilda E Ennis1, Yang An1, Susan M Resnick1
1From the School of Psychology (G.E.E., S.D.M.), Georgia Institute of Technology, Atlanta; Laboratory of Behavioral Neuroscience (Y.A., S.M.R.) and Longitudinal Studies Section (L.F.), National Institute on Aging, Baltimore, MD; and School of Medicine (R.J.O.), Johns Hopkins University, Baltimore, MD. Dr. O'Brien is now at the School of Medicine, Duke University, Durham, NC.
Objective:
To examine whether long-term measures of cortisol predict Alzheimer disease (AD) risk.
Method:
We used a prospective longitudinal design to examine whether cortisol dysregulation was related to AD risk. Participants were from the Baltimore Longitudinal Study of Aging (BLSA) and submitted multiple 24-hour urine samples over an average interval of 10.56 years. Urinary free cortisol (UFC) and creatinine (Cr) were measured, and a UFC/Cr ratio was calculated to standardize UFC. To measure cortisol regulation, we used within-person UFC/Cr level (i.e., within-person mean), change in UFC/Cr over time (i.e., within-person slope), and UFC/Cr variability (i.e., within-person coefficient of variation). Cox regression was used to assess whether UFC/Cr measures predicted AD risk.
Results:
UFC/Cr level and UFC/Cr variability, but not UFC/Cr slope, were significant predictors of AD risk an average of 2.9 years before AD onset. Elevated UFC/Cr level and elevated UFC/Cr variability were related to a 1.31- and 1.38-times increase in AD risk, respectively. In a sensitivity analysis, increased UFC/Cr level and increased UFC/Cr variability predicted increased AD risk an average of 6 years before AD onset.
Conclusions:
Cortisol dysregulation as manifested by high UFC/Cr level and high UFC/Cr variability may modulate the downstream clinical expression of AD pathology or be a preclinical marker of AD.
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