Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
National Institute of Mental Health, Klecany, Czech Republic.
Schizophr Bull. 2021 Oct 21;47(6):1772-1781. doi: 10.1093/schbul/sbab064.
Obesity is highly prevalent in schizophrenia, with implications for psychiatric prognosis, possibly through links between obesity and brain structure. In this longitudinal study in first episode of psychosis (FEP), we used machine learning and structural magnetic resonance imaging (MRI) to study the impact of psychotic illness and obesity on brain ageing/neuroprogression shortly after illness onset.
We acquired 2 prospective MRI scans on average 1.61 years apart in 183 FEP and 155 control individuals. We used a machine learning model trained on an independent sample of 504 controls to estimate the individual brain ages of study participants and calculated BrainAGE by subtracting chronological from the estimated brain age.
Individuals with FEP had a higher initial BrainAGE than controls (3.39 ± 6.36 vs 1.72 ± 5.56 years; β = 1.68, t(336) = 2.59, P = .01), but similar annual rates of brain ageing over time (1.28 ± 2.40 vs 1.07±1.74 estimated years/actual year; t(333) = 0.93, P = .18). Across both cohorts, greater baseline body mass index (BMI) predicted faster brain ageing (β = 0.08, t(333) = 2.59, P = .01). For each additional BMI point, the brain aged by an additional month per year. Worsening of functioning over time (Global Assessment of Functioning; β = -0.04, t(164) = -2.48, P = .01) and increases especially in negative symptoms on the Positive and Negative Syndrome Scale (β = 0.11, t(175) = 3.11, P = .002) were associated with faster brain ageing in FEP.
Brain alterations in psychosis are manifest already during the first episode and over time get worse in those with worsening clinical outcomes or higher baseline BMI. As baseline BMI predicted faster brain ageing, obesity may represent a modifiable risk factor in FEP that is linked with psychiatric outcomes via effects on brain structure.
精神分裂症患者中肥胖症的患病率很高,这可能会影响精神预后,其潜在机制可能是肥胖与大脑结构之间存在关联。在这项首发精神分裂症(FEP)的纵向研究中,我们使用机器学习和结构磁共振成像(MRI),在疾病发病后不久,研究肥胖症和精神疾病对大脑衰老/神经进展的影响。
我们平均在 183 名 FEP 和 155 名对照组个体中,在 1.61 年内进行了 2 次前瞻性 MRI 扫描。我们使用在 504 名对照组的独立样本中训练的机器学习模型来估计研究参与者的个体脑龄,并通过从估计的脑龄中减去实际年龄来计算脑龄(BrainAGE)。
与对照组相比,FEP 患者的初始 BrainAGE 更高(3.39 ± 6.36 比 1.72 ± 5.56 岁;β = 1.68,t(336)= 2.59,P =.01),但随着时间的推移,大脑老化的年增长率相似(1.28 ± 2.40 比 1.07 ± 1.74 年/实际年;t(333)= 0.93,P =.18)。在两个队列中,较高的基线体重指数(BMI)预测大脑老化速度更快(β = 0.08,t(333)= 2.59,P =.01)。每增加一个 BMI 点,大脑的年龄就会增加一年。随着时间的推移,功能恶化(总体评估功能;β = -0.04,t(164)= -2.48,P =.01),特别是在阳性和阴性症状量表(β = 0.11,t(175)= 3.11,P =.002)上的阳性症状恶化,与 FEP 中更快的大脑老化有关。
在首发精神分裂症中,精神疾病的大脑改变已经显现,随着时间的推移,临床结局恶化或基线 BMI 较高的患者大脑改变会进一步恶化。由于基线 BMI 预测大脑老化速度更快,肥胖可能是 FEP 中的一个可改变的危险因素,通过对大脑结构的影响与精神预后相关。