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严重精神疾病患者的大脑分子年龄更大。

Older molecular brain age in severe mental illness.

机构信息

Department of Biostatistics, Graduate school of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA.

Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI, 53226, USA.

出版信息

Mol Psychiatry. 2021 Jul;26(7):3646-3656. doi: 10.1038/s41380-020-0834-1. Epub 2020 Jul 6.

Abstract

Psychiatric disorders are associated with accelerated aging and enhanced risk for neurodegenerative disorders. Brain aging is associated with molecular, cellular, and structural changes that are robust on the group level, yet show substantial inter-individual variability. Here we assessed deviations in gene expression from normal age-dependent trajectories, and tested their validity as predictors of risk for major mental illnesses and neurodegenerative disorders. We performed large-scale gene expression and genotype analyses in postmortem samples of two frontal cortical brain regions from 214 control subjects aged 20-90 years. Individual estimates of "molecular age" were derived from age-dependent genes, identified by robust regression analysis. Deviation from chronological age was defined as "delta age". Genetic variants associated with deviations from normal gene expression patterns were identified by expression quantitative trait loci (cis-eQTL) of age-dependent genes or genome-wide association study (GWAS) on delta age, combined into distinct polygenic risk scores (PRS and PRS), and tested for predicting brain disorders or pathology in independent postmortem expression datasets and clinical cohorts. In these validation datasets, molecular ages, defined by 68 and 76 age-related genes for two brain regions respectively, were positively correlated with chronological ages (r = 0.88/0.91), elevated in bipolar disorder (BP) and schizophrenia (SCZ), and unchanged in major depressive disorder (MDD). Exploratory analyses in independent clinical datasets show that PRSs were associated with SCZ and MDD diagnostics, and with cognition in SCZ and pathology in Alzheimer's disease (AD). These results suggest that older molecular brain aging is a common feature of severe mental illnesses and neurodegeneration.

摘要

精神障碍与加速衰老和神经退行性疾病的风险增加有关。大脑衰老与分子、细胞和结构变化有关,这些变化在群体水平上是明显的,但在个体间存在很大的变异性。在这里,我们评估了基因表达偏离正常年龄相关轨迹的情况,并测试了它们作为预测主要精神疾病和神经退行性疾病风险的有效性。我们对来自 214 名年龄在 20-90 岁的对照者的两个额皮质脑区的死后样本进行了大规模的基因表达和基因型分析。个体的“分子年龄”估计值是从通过稳健回归分析确定的依赖年龄的基因中得出的。与生理年龄的偏差被定义为“delta age”。通过依赖年龄基因的表达数量性状基因座(cis-eQTL)或 delta age 的全基因组关联研究(GWAS)来识别与正常基因表达模式偏离相关的遗传变异,将其组合成不同的多基因风险评分(PRS 和 PRS),并在独立的死后表达数据集和临床队列中测试其预测大脑疾病或病理学的能力。在这些验证数据集中,通过分别针对两个脑区的 68 个和 76 个年龄相关基因定义的分子年龄,与生理年龄呈正相关(r=0.88/0.91),在双相情感障碍(BP)和精神分裂症(SCZ)中升高,在重度抑郁症(MDD)中不变。在独立的临床数据集的探索性分析中表明,PRS 与 SCZ 和 MDD 的诊断以及 SCZ 的认知和 AD 的病理学有关。这些结果表明,较老的分子大脑衰老可能是严重精神疾病和神经退行性变的共同特征。

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