• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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.

DOI:10.1038/s41380-020-0834-1
PMID:32632206
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7785531/
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。

相似文献

1
Older molecular brain age in severe mental illness.严重精神疾病患者的大脑分子年龄更大。
Mol Psychiatry. 2021 Jul;26(7):3646-3656. doi: 10.1038/s41380-020-0834-1. Epub 2020 Jul 6.
2
Polygenetic Risk Scores for Major Psychiatric Disorders Among Schizophrenia Patients, Their First-Degree Relatives, and Healthy Participants.精神分裂症患者、其一级亲属及健康参与者中主要精神障碍的多基因风险评分
Int J Neuropsychopharmacol. 2020 Apr 21;23(3):157-164. doi: 10.1093/ijnp/pyz073.
3
Associations between major psychiatric disorder polygenic risk scores and blood-based markers in UK biobank.精神障碍多基因风险评分与英国生物库血液标志物之间的关联。
Brain Behav Immun. 2021 Oct;97:32-41. doi: 10.1016/j.bbi.2021.06.002. Epub 2021 Jun 6.
4
The effect of polygenic risk scores for major depressive disorder, bipolar disorder and schizophrenia on morphological brain measures: A systematic review of the evidence.多基因风险评分对重度抑郁症、双相情感障碍和精神分裂症的形态学脑测量的影响:证据的系统综述。
J Affect Disord. 2022 Aug 1;310:213-222. doi: 10.1016/j.jad.2022.05.007. Epub 2022 May 6.
5
Identifying novel chemical-related susceptibility genes for five psychiatric disorders through integrating genome-wide association study and tissue-specific 3'aQTL annotation datasets.通过整合全基因组关联研究和组织特异性3'aQTL注释数据集,鉴定五种精神疾病与化学物质相关的新型易感基因。
Eur Arch Psychiatry Clin Neurosci. 2025 Apr;275(3):851-862. doi: 10.1007/s00406-023-01753-0. Epub 2024 Feb 2.
6
Genome-Wide Association Study Detected Novel Susceptibility Genes for Schizophrenia and Shared Trans-Populations/Diseases Genetic Effect.全基因组关联研究检测到精神分裂症的新易感基因和跨人群/疾病的遗传效应共享。
Schizophr Bull. 2019 Jun 18;45(4):824-834. doi: 10.1093/schbul/sby140.
7
Dissecting the genetic overlap between severe mental disorders and markers of cellular aging: Identification of pleiotropic genes and druggable targets.剖析严重精神障碍与细胞衰老标志物之间的遗传重叠:多效基因和可药物靶点的鉴定。
Neuropsychopharmacology. 2024 May;49(6):1033-1041. doi: 10.1038/s41386-024-01822-5. Epub 2024 Feb 24.
8
Familial aggregation and shared genetic loading for major psychiatric disorders and type 2 diabetes.主要精神疾病和2型糖尿病的家族聚集性及共享遗传负荷
Diabetologia. 2022 May;65(5):800-810. doi: 10.1007/s00125-022-05665-x. Epub 2022 Feb 23.
9
EXPLORATORY ANALYSIS OF POLYGENIC RISK SCORES FOR PSYCHIATRIC DISORDERS: APPLIED TO DUAL DIAGNOSIS.精神疾病多基因风险评分的探索性分析:应用于双重诊断
Rev Invest Clin. 2019;71(5):321-329. doi: 10.24875/RIC.19003013.
10
eQTLs Weighted Genetic Correlation Analysis Detected Brain Region Differences in Genetic Correlations for Complex Psychiatric Disorders.加权遗传关联分析检测到复杂精神障碍遗传关联的大脑区域差异。
Schizophr Bull. 2019 Apr 25;45(3):709-715. doi: 10.1093/schbul/sby080.

引用本文的文献

1
Are Hippocampal Hypoperfusion and ATP Depletion Prime Movers in the Genesis of Alzheimer's Disease? A Review of Recent Pertinent Observations from Molecular Biology.海马体灌注不足和ATP耗竭是阿尔茨海默病发病的主要因素吗?来自分子生物学的近期相关观察综述
Int J Mol Sci. 2025 Jul 29;26(15):7328. doi: 10.3390/ijms26157328.
2
Noncanonical sustained actions of propofol reverse surgery-induced microglial activation and cognitive impairment in aged mice.丙泊酚的非经典持续作用可逆转老年小鼠手术诱导的小胶质细胞激活和认知障碍。
PNAS Nexus. 2025 Jul 8;4(7):pgaf213. doi: 10.1093/pnasnexus/pgaf213. eCollection 2025 Jul.
3
Single-Cell Transcriptomic Profiling Reveals Regional Differences in the Prefrontal and Entorhinal Cortex of Alzheimer's Disease Brain.

本文引用的文献

1
Epidemiology of suicide: recent developments.自杀流行病学:最新进展。
Epidemiol Psychiatr Sci. 2019 Nov 7;29:e71. doi: 10.1017/S2045796019000672.
2
Common brain disorders are associated with heritable patterns of apparent aging of the brain.常见的脑部疾病与大脑明显衰老的遗传模式有关。
Nat Neurosci. 2019 Oct;22(10):1617-1623. doi: 10.1038/s41593-019-0471-7. Epub 2019 Sep 24.
3
DNA methylation in the human frontal cortex reveals a putative mechanism for age-by-disease interactions.人类前额叶皮层的 DNA 甲基化揭示了年龄与疾病相互作用的一个潜在机制。
单细胞转录组分析揭示阿尔茨海默病大脑前额叶和内嗅皮质的区域差异。
Int J Mol Sci. 2025 May 19;26(10):4841. doi: 10.3390/ijms26104841.
4
Comprehensive profiling of small RNAs and their changes and linkages to mRNAs in schizophrenia and bipolar disorder.精神分裂症和双相情感障碍中小RNA及其变化以及与mRNA的关联的综合分析。
bioRxiv. 2024 Dec 25:2024.12.24.630254. doi: 10.1101/2024.12.24.630254.
5
Delirium risk and mortality in people with pre-existing severe mental illness: a retrospective cohort study using linked datasets in England.患有严重精神疾病的人群中谵妄风险与死亡率:一项使用英格兰关联数据集的回顾性队列研究
Psychol Med. 2024 Oct 31;54(14):1-11. doi: 10.1017/S0033291724002484.
6
Single-nucleus transcriptomic profiling of human orbitofrontal cortex reveals convergent effects of aging and psychiatric disease.人类眶额皮质的单核转录组分析揭示了衰老和精神疾病的趋同效应。
Nat Neurosci. 2024 Oct;27(10):2021-2032. doi: 10.1038/s41593-024-01742-z. Epub 2024 Sep 3.
7
Telomere biology and its maintenance in schizophrenia spectrum disorders: Exploring links to cognition.端粒生物学及其在精神分裂症谱系障碍中的维持:探索与认知的联系。
Schizophr Res. 2024 Oct;272:89-95. doi: 10.1016/j.schres.2024.08.011. Epub 2024 Aug 28.
8
Mouse brain contains age-dependent extraparenchymal granular structures and astrocytes, both reactive to natural IgM antibodies, linked to the fissura magna.小鼠大脑包含与大脑大裂相关的、对天然IgM抗体有反应的年龄依赖性脑外颗粒结构和星形胶质细胞。
Immun Ageing. 2024 Aug 21;21(1):56. doi: 10.1186/s12979-024-00460-1.
9
Multimorbidity in Severe Mental Illness as Part of the Neurodevelopmental Continuum: Physical Health-Related Endophenotypes of Schizophrenia-A Narrative Review.严重精神疾病中的多重疾病作为神经发育连续体的一部分:精神分裂症与身体健康相关的内表型——一项叙述性综述
Brain Sci. 2024 Jul 19;14(7):725. doi: 10.3390/brainsci14070725.
10
Chronic high-dose dimenhydrinate use contributing to early multifactorial cognitive impairment.长期大剂量使用茶苯海明会导致早期多因素认知障碍。
BMJ Case Rep. 2024 Mar 7;17(3):e258493. doi: 10.1136/bcr-2023-258493.
Transl Psychiatry. 2019 Jan 29;9(1):39. doi: 10.1038/s41398-019-0372-2.
4
The Relative Contributions of Cell-Dependent Cortical Microcircuit Aging to Cognition and Anxiety.细胞依赖的皮层微电路老化对认知和焦虑的相对贡献。
Biol Psychiatry. 2019 Feb 1;85(3):257-267. doi: 10.1016/j.biopsych.2018.09.019. Epub 2018 Oct 5.
5
Epigenetic age analysis of brain in major depressive disorder.重度抑郁症大脑的表观遗传学年龄分析。
Psychiatry Res. 2018 Nov;269:621-624. doi: 10.1016/j.psychres.2018.09.001. Epub 2018 Sep 6.
6
Review and meta-analysis of genetic polymorphisms associated with exceptional human longevity.遗传多态性与异常人类长寿相关的综述和荟萃分析。
Mech Ageing Dev. 2018 Oct;175:24-34. doi: 10.1016/j.mad.2018.06.002. Epub 2018 Jun 8.
7
Reduced GABAergic cortical inhibition in aging and depression.衰老和抑郁中 GABA 能皮质抑制的减弱。
Neuropsychopharmacology. 2018 Oct;43(11):2277-2284. doi: 10.1038/s41386-018-0093-x. Epub 2018 May 17.
8
Epigenetic Aging in Major Depressive Disorder.重度抑郁症的表观遗传衰老。
Am J Psychiatry. 2018 Aug 1;175(8):774-782. doi: 10.1176/appi.ajp.2018.17060595. Epub 2018 Apr 16.
9
Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.双相情感障碍或精神分裂症早期的大脑年龄。
Schizophr Bull. 2019 Jan 1;45(1):190-198. doi: 10.1093/schbul/sbx172.
10
Accelerated epigenetic aging and mitochondrial DNA copy number in bipolar disorder.双相情感障碍中的加速表观遗传衰老和线粒体 DNA 拷贝数。
Transl Psychiatry. 2017 Dec 11;7(12):1283. doi: 10.1038/s41398-017-0048-8.