• 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

基因-环境相互作用在抑郁症中的意义:病因能否为治疗提供线索?

The implications of gene-environment interactions in depression: will cause inform cure?

作者信息

Uher R

机构信息

Institute of Psychiatry, King's College London, London, UK.

出版信息

Mol Psychiatry. 2008 Dec;13(12):1070-8. doi: 10.1038/mp.2008.92. Epub 2008 Aug 5.

DOI:10.1038/mp.2008.92
PMID:18679406
Abstract

In a number of human diseases, including depression, interactions between genetic and environmental factors have been identified in the absence of direct genotype-disorder associations. The lack of genes with major direct pathogenic effect suggests that genotype-specific vulnerabilities are balanced by adaptive advantages and implies aetiological heterogeneity. A model of depression is proposed that incorporates the interacting genetic and environmental factors over the life course and provides an explanatory framework for the heterogeneous aetiology of depression. Early environmental influences act on the genome to shape the adaptability to environmental changes in later life. The possibility is explored that genotype- and epigenotype-related traits can be harnessed to develop personalized therapeutic interventions. As diagnosis of depression alone is a weak predictor of response to specific treatments, aetiological subtypes can be used to inform the choice between treatments. As a specific application of this notion, a hypothesis is proposed regarding relative responsiveness of aetiological subtypes of depression to psychological treatment and antidepressant medication. Other testable predictions are likely to emerge from the general framework of interacting genetic, epigenetic and environmental mechanisms in depression.

摘要

在包括抑郁症在内的多种人类疾病中,在缺乏直接的基因型与疾病关联的情况下,已确定了遗传因素与环境因素之间的相互作用。缺乏具有主要直接致病作用的基因表明,基因型特异性易感性由适应性优势所平衡,这意味着病因具有异质性。本文提出了一种抑郁症模型,该模型纳入了生命过程中相互作用的遗传和环境因素,并为抑郁症的异质性病因提供了一个解释框架。早期环境影响作用于基因组,以塑造对晚年环境变化的适应能力。本文探讨了利用与基因型和表观基因型相关的特征来开发个性化治疗干预措施的可能性。由于仅抑郁症诊断对特定治疗反应的预测能力较弱,病因亚型可用于指导治疗选择。作为这一概念的具体应用,本文提出了一个关于抑郁症病因亚型对心理治疗和抗抑郁药物相对反应性的假设。抑郁症中遗传、表观遗传和环境机制相互作用的一般框架可能会产生其他可检验的预测。

相似文献

1
The implications of gene-environment interactions in depression: will cause inform cure?基因-环境相互作用在抑郁症中的意义:病因能否为治疗提供线索?
Mol Psychiatry. 2008 Dec;13(12):1070-8. doi: 10.1038/mp.2008.92. Epub 2008 Aug 5.
2
Long-term effects of early-life environmental manipulations in rodents and primates: Potential animal models in depression research.啮齿动物和灵长类动物早期生活环境操纵的长期影响:抑郁症研究中的潜在动物模型。
Neurosci Biobehav Rev. 2005;29(4-5):649-74. doi: 10.1016/j.neubiorev.2005.03.011. Epub 2005 Apr 25.
3
Neo-Lamarckian medicine.新拉马克医学
Med Hypotheses. 2004;62(2):299-303. doi: 10.1016/S0306-9877(03)00329-3.
4
Droplets of black bile? Development of vulnerability and resilience to depression in young age.黑胆汁滴?年轻时期抑郁脆弱性和复原力的发展。
Psychoneuroendocrinology. 2011 Apr;36(3):380-92. doi: 10.1016/j.psyneuen.2010.02.009. Epub 2010 Mar 4.
5
Dopamine and serotonin systems modify environmental effects on human behavior: a review.多巴胺和 5-羟色胺系统调节环境对人类行为的影响:综述。
Scand J Psychol. 2009 Dec;50(6):574-82. doi: 10.1111/j.1467-9450.2009.00785.x.
6
A proposal for a new multiaxial model of psychiatric diagnosis. A continuum-based patient model derived from evolutionary developmental gene-environment interaction.一种新的精神科诊断多轴模型的提议。一种基于连续体的患者模型,源自进化发育基因-环境相互作用。
Psychopathology. 2009;42(1):1-10. doi: 10.1159/000173698. Epub 2008 Nov 20.
7
A translational research framework for enhanced validity of mouse models of psychopathological states in depression.用于增强抑郁相关精神病理状态小鼠模型有效性的转化研究框架。
Psychoneuroendocrinology. 2011 Apr;36(3):308-29. doi: 10.1016/j.psyneuen.2010.05.003. Epub 2010 Jun 9.
8
Mechanisms of gene-environment interactions in depression: evidence that genes potentiate multiple sources of adversity.抑郁症中基因-环境相互作用的机制:基因增强多种逆境来源的证据。
Psychol Med. 2009 Jul;39(7):1077-86. doi: 10.1017/S0033291708004388. Epub 2008 Oct 6.
9
Genes, environment, and individual differences in responding to treatment for depression.基因、环境与个体差异对抑郁症治疗反应的影响。
Harv Rev Psychiatry. 2011 May-Jun;19(3):109-24. doi: 10.3109/10673229.2011.586551.
10
[Predictors of prophylactic response to lithium].[锂预防性反应的预测因素]
Encephale. 2008 Sep;34(4):394-9. doi: 10.1016/j.encep.2007.05.002. Epub 2007 Nov 26.

引用本文的文献

1
MA RNA epitranscriptome dynamics linked to major depressive disorder and suicide risk.与重度抑郁症和自杀风险相关的甲基化修饰RNA表观转录组动力学
Neuropsychopharmacology. 2025 Jul 10. doi: 10.1038/s41386-025-02165-5.
2
Individualized strategies for depression: narrative review of clinical profiles responsive to vortioxetine.抑郁症的个体化治疗策略:对伏硫西汀有反应的临床特征的叙述性综述
Ann Gen Psychiatry. 2024 May 16;23(1):20. doi: 10.1186/s12991-024-00505-1.
3
A novel approach to risk exposure and epigenetics-the use of multidimensional context to gain insights into the early origins of cardiometabolic and neurocognitive health.
一种新的风险暴露和表观遗传学方法——利用多维背景深入了解心血管代谢和神经认知健康的早期起源。
BMC Med. 2023 Nov 27;21(1):466. doi: 10.1186/s12916-023-03168-z.
4
Design and Methods of a Prospective Smartphone App-Based Study for Digital Phenotyping of Mood and Anxiety Symptoms Mixed With Centralized and Decentralized Research Form: The Search Your Mind (S.Y.M., ) Project.一项基于智能手机应用程序的前瞻性研究的设计与方法,用于情绪和焦虑症状的数字表型分析,结合集中式和分散式研究形式:“探索你的心灵”(S.Y.M.)项目
Psychiatry Investig. 2022 Jul;19(7):588-594. doi: 10.30773/pi.2022.0102. Epub 2022 Jul 21.
5
Obstetric Complications and Polygenic Risk Score: Which Role in Predicting a Severe Short-Term Outcome in Psychosis?产科并发症和多基因风险评分:在预测精神病严重短期结局中扮演何种角色?
Genes (Basel). 2021 Nov 26;12(12):1895. doi: 10.3390/genes12121895.
6
The miRNome of Depression.抑郁症的 microRNA 组。
Int J Mol Sci. 2021 Oct 20;22(21):11312. doi: 10.3390/ijms222111312.
7
Optimizing prediction of response to antidepressant medications using machine learning and integrated genetic, clinical, and demographic data.利用机器学习和综合遗传、临床及人口统计学数据优化抗抑郁药物反应的预测。
Transl Psychiatry. 2021 Jul 8;11(1):381. doi: 10.1038/s41398-021-01488-3.
8
Plasma microRNA Array Analysis Identifies Overexpressed miR-19b-3p as a Biomarker of Bipolar Depression Distinguishing From Unipolar Depression.血浆微小RNA阵列分析确定过表达的miR-19b-3p作为双相抑郁区别于单相抑郁的生物标志物。
Front Psychiatry. 2020 Aug 11;11:757. doi: 10.3389/fpsyt.2020.00757. eCollection 2020.
9
Familial aggregation and heritability of hypertension in Han population in Shanghai China: a case-control study.中国上海汉族人群高血压的家族聚集性和遗传度:一项病例对照研究。
Clin Hypertens. 2019 Aug 15;25:17. doi: 10.1186/s40885-019-0122-z. eCollection 2019.
10
Co-expression network modeling identifies key long non-coding RNA and mRNA modules in altering molecular phenotype to develop stress-induced depression in rats.共表达网络建模确定关键长非编码 RNA 和 mRNA 模块,改变分子表型,以在大鼠中发展应激诱导的抑郁。
Transl Psychiatry. 2019 Apr 3;9(1):125. doi: 10.1038/s41398-019-0448-z.