Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Division of Biostatistics and Bioinformatics, Department of Public Health and Epidemiology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Hum Brain Mapp. 2022 Apr 15;43(6):1997-2010. doi: 10.1002/hbm.25769. Epub 2022 Feb 3.
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 ) and CMD (F = 24.69, p = 6.82 × 10 ) 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 ) 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 ). 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.
严重精神疾病(SMI)包括重度抑郁症(MDD)、双相情感障碍(BD)和精神分裂症谱系障碍(SSD),会增加大脑加速老化的风险。心血管代谢疾病(CMD)是 SMI 的常见合并症,会对大脑健康产生负面影响。我们在一个独立的 SSD 队列(N=206)中验证了线性分位数回归指数(QRI)方法与机器学习“BrainAge”指数的相关性。我们在 N=1618 名 SMI 患者(604 名男性/1014 名女性,平均年龄=63.53±7.38 岁)和 N=11849 名对照组(5719 名男性/6130 名女性;64.42±7.38 岁)中测试了 SMI 和 CMD 对大脑加速老化的直接和附加影响,这些患者均来自英国生物银行。根据诊断状态对患者进行细分:SMI+/CMD+(N=665)、SMI+/CMD-(N=964)、SMI-/CMD+(N=3765)和 SMI-/CMD-(N=8083)。SMI(F=40.47,p=2.06×10)和 CMD(F=24.69,p=6.82×10)显著且独立地影响 SMI+的全脑 QRI。在 SMI+中,SSD 的影响最大(Cohen's d=1.42),其次是 BD(d=0.55)和 MDD(d=0.15)。高血压对 SMI+(d=0.19)和 SMI-(d=0.14)有显著影响。SMI 的影响是直接的,独立于 MD,并且在纠正抗精神病药物影响后仍然显著。全脑 QRI 与脑白质高信号(WMH)体积显著相关(p<10)。然而,WMH 与 SMI 没有显著关联,而是由 CMD 主要是高血压驱动的(p<10)。我们使用了一种简单而强大的指数 QRI,来证明 SMI 和 CMD 对大脑加速老化的附加影响。我们发现精神疾病对 QRI 的影响大于心血管代谢疾病。我们的研究结果表明,SMI 患者应该是预防与年龄相关认知能力下降的干预措施的目标人群之一。