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Published on: December 18, 2016
The additive impact of cardio-metabolic disorders and psychiatric illnesses on accelerated brain aging
Meghann C Ryan1, L Elliot Hong1, Kathryn S Hatch1
1Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Insights
Severe mental illnesses (SMI) and cardio-metabolic disorders (CMD) accelerate brain aging. SMI has a greater impact than CMD, suggesting targeted interventions for individuals with SMI to prevent cognitive decline.
Area of Science:
- Neuroscience
- Psychiatry
- Gerontology
Background:
- Severe mental illnesses (SMI), including major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia spectrum disorder (SSD), are associated with accelerated brain aging.
- Cardio-metabolic disorders (CMD) frequently co-occur with SMI and detrimentally affect brain health.
Purpose of the Study:
- To validate a quantile regression index (QRI) for assessing accelerated brain aging.
- To investigate the direct and additive effects of SMI and CMD on brain aging in a large cohort.
- To compare the impact of SMI versus CMD on brain aging.
Main Methods:
- Validated a linear quantile regression index (QRI) against a machine learning "BrainAge" index in an SSD cohort.
- Analyzed data from 1,618 individuals with SMI and 11,849 controls from the UK Biobank.
- Subdivided participants into four groups: SMI+/CMD+, SMI+/CMD-, SMI-/CMD+, and SMI-/CMD-.
Main Results:
- Both SMI (p < 2.06 × 10-10) and CMD (p < 6.82 × 10-7) significantly and independently impacted whole-brain QRI in individuals with SMI.
- Schizophrenia spectrum disorder exhibited the largest effect size (Cohen's d = 1.42), followed by bipolar disorder (d = 0.55) and major depressive disorder (d = 0.15).
- Hypertension significantly affected QRI in both SMI+ (d = 0.19) and SMI- (d = 0.14) groups. SMI effects were direct, independent of medication, and associated with white matter hyperintensities (WMH), though WMH were primarily driven by CMD.
Conclusions:
- The QRI is a robust index for demonstrating the additive effects of SMI and CMD on accelerated brain aging.
- Psychiatric illnesses have a more substantial impact on brain aging than cardio-metabolic conditions.
- Individuals with SMI are key targets for interventions aimed at mitigating age-related cognitive decline.
Abstract:
Severe mental illnesses (SMI) including major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia spectrum disorder (SSD) elevate accelerated brain aging risks. Cardio-metabolic disorders (CMD) are common comorbidities in SMI and negatively impact brain health. We validated a linear quantile regression index (QRI) approach against the machine learning "BrainAge" index in an independent SSD cohort (N = 206). We tested the direct and additive effects of SMI and CMD effects on accelerated brain aging in the N = 1,618 (604 M/1,014 F, average age = 63.53 ± 7.38) subjects with SMI and N = 11,849 (5,719 M/6,130 F; 64.42 ± 7.38) controls from the UK Biobank. Subjects were subdivided based on diagnostic status: SMI+/CMD+ (N = 665), SMI+/CMD- (N = 964), SMI-/CMD+ (N = 3,765), SMI-/CMD- (N = 8,083). SMI (F = 40.47, p = 2.06 × 10-10 ) and CMD (F = 24.69, p = 6.82 × 10-7 ) significantly, independently impacted whole-brain QRI in SMI+. SSD had the largest effect (Cohen's d = 1.42) then BD (d = 0.55), and MDD (d = 0.15). Hypertension had a significant effect on SMI+ (d = 0.19) and SMI- (d = 0.14). SMI effects were direct, independent of MD, and remained significant after correcting for effects of antipsychotic medications. Whole-brain QRI was significantly (p < 10-16 ) associated with the volume of white matter hyperintensities (WMH). However, WMH did not show significant association with SMI and was driven by CMD, chiefly hypertension (p < 10-16 ). We used a simple and robust index, QRI, the demonstrate additive effect of SMI and CMD on accelerated brain aging. We showed a greater effect of psychiatric illnesses on QRI compared to cardio-metabolic illness. Our findings suggest that subjects with SMI should be among the targets for interventions to protect against age-related cognitive decline.
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