Serum Cortisol Is Associated With Cerebral Small Vessel Disease-Related Brain Changes and Cognitive Impairment.

Abstract

OBJECTIVE:

To evaluate the relationship between serum cortisol, cerebral small vessel disease (CSVD) neuroimaging markers, and cognitive performance.

METHODS:

We recruited patients over 50 years old who attended our hospital for physical examination between November 2020 and July 2021. All participants were subject to brain magnetic resonance imaging (MRI), serum cortisol examination, and the Montreal cognitive function assessment (MoCA). On brain MRI, we scored the presence of each marker of CSVD, including white matter hyperintensity (WMH), lacunes, cerebral microbleeds (CMBs), and enlarged perivascular spaces (EPVS). One point was awarded for the presence of each marker, producing a score between 0 and 4.

RESULTS:

In total, 158 participants were included in this study with a mean age of 60.5 (56.0-66.3) years; 55.1% were male. In the multivariable analyses, serum cortisol level was an independent predictor of WMH severity, the presence of lacunes/CMBs, moderate-severe EPVS and total CSVD burden after adjusting for confounding factors. Serum cortisol level had positive associations with periventricular/deep Fazekas score, burdens of lacunes/CMBs, moderate-severe EPVS, and total CSVD burden in dose-dependent manner, and was an independent predictor of cognitive impairment. Furthermore, the results of the receiver operating characteristic (ROC) curve analysis revealed an area under curve (AUC) of 0.745 with 64.1% sensitivity and 82.5% specificity, and an AUC of 0.705 with 52.1% sensitivity and 85.5 specificity of cortisol in detecting patients with high CSVD burden and MCI, respectively.

CONCLUSIONS:

Serum cortisol level is independently associated with each CSVD MRI markers, total CSVD burden and cognitive impairment. These findings provide clues for pathological mechanisms and suggest serum cortisol as a promising biomarker associated with CSVD.

• Authors: Qianwen Qiu, Xirui Zhou, Lingshan Wu, Yi Zhang, Zhiyuan Yu, Minghuan Wang, Hao Huang, Xiang Luo, Dengji Pan
• Journal: Frontiers in aging neuroscience (Front Aging Neurosci) Vol. 13 Pg. 809684 ( 2021) ISSN: 1663-4365 [Print] Switzerland
• PMID: 35126094 (Publication Type: Journal Article)
• Copyright: Copyright © 2022 Qiu, Zhou, Wu, Zhang, Yu, Wang, Huang, Luo and Pan.