• 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

优先考虑和全面分析与重度抑郁症相关的基因。

Prioritization and comprehensive analysis of genes related to major depressive disorder.

机构信息

ICU, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, P.R. China.

Organ Transplant Center, Tianjin First Central Hospital, Tianjin, P.R. China.

出版信息

Mol Genet Genomic Med. 2019 Jun;7(6):e659. doi: 10.1002/mgg3.659. Epub 2019 Apr 9.

DOI:10.1002/mgg3.659
PMID:30968596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6565567/
Abstract

BACKGROUND

Major depressive disorder (MDD) is a serious mental health problem in modern society, which is difficult to identify and diagnose in the early stages. Despite strong evidence supporting the heritability of MDD, progresses in large-scale and individual genetic studies remain preliminary.

METHODS

In this study, a multi-data source-based prioritization (MDSP) method was proposed, and an appropriate threshold was determined for the optimization of depression-related genes (DEPgenes). Analyses on Gene Ontology biological processes, KEGG pathway and the specific pathway crosstalk network were further proposed.

RESULTS

A total of 143 DEPgenes were identified and the MDD-specific network was constructed for the pathogenesis investigation and therapeutic methods development of MDD. Comparing with existing research strategies, the genetic optimization and analysis results were confirmed to be reliable. Finally, the pathway enrichment and crosstalk analyses revealed two unique pathway interaction modules that were significantly enriched with MDD genes. The related core pathways of neuroactive ligand-receptor interaction and dopaminergic synapse supported the neuropathology hypothesis of MDD. And the pathways of serotonergic synapse and morphine addiction indicated the mechanism of drug addiction caused by serotonin used in the treatment.

CONCLUSIONS

This work provided a reference for the study of MDD, although future validation by extensive experimentation is still required.

摘要

背景

重度抑郁症(MDD)是现代社会中一个严重的心理健康问题,在早期阶段难以识别和诊断。尽管有大量证据支持 MDD 的遗传性,但大规模和个体遗传学研究的进展仍处于初步阶段。

方法

本研究提出了一种基于多数据源的优先级排序(MDSP)方法,并确定了适当的阈值,以优化与抑郁相关的基因(DEPgenes)。进一步提出了基因本体论生物过程、KEGG 途径和特定途径串扰网络的分析。

结果

共鉴定出 143 个 DEPgenes,并构建了 MDD 特定网络,以研究 MDD 的发病机制和开发治疗方法。与现有研究策略相比,遗传优化和分析结果被证实是可靠的。最后,通路富集和串扰分析揭示了两个独特的通路相互作用模块,这些模块与 MDD 基因显著富集。与神经活性配体-受体相互作用和多巴胺能突触相关的核心通路支持 MDD 的神经病理学假说。而 5-羟色胺能突触和吗啡成瘾的通路则表明了治疗中使用的 5-羟色胺引起药物成瘾的机制。

结论

尽管仍需要广泛的实验验证,但这项工作为 MDD 的研究提供了参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be85/6565567/6aed0234a689/MGG3-7-e659-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be85/6565567/7fa514bc9c91/MGG3-7-e659-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be85/6565567/dd7fe1bc200d/MGG3-7-e659-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be85/6565567/6a9bc66e5126/MGG3-7-e659-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be85/6565567/6aed0234a689/MGG3-7-e659-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be85/6565567/7fa514bc9c91/MGG3-7-e659-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be85/6565567/dd7fe1bc200d/MGG3-7-e659-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be85/6565567/6a9bc66e5126/MGG3-7-e659-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be85/6565567/6aed0234a689/MGG3-7-e659-g004.jpg

相似文献

1
Prioritization and comprehensive analysis of genes related to major depressive disorder.优先考虑和全面分析与重度抑郁症相关的基因。
Mol Genet Genomic Med. 2019 Jun;7(6):e659. doi: 10.1002/mgg3.659. Epub 2019 Apr 9.
2
A comprehensive network and pathway analysis of candidate genes in major depressive disorder.重度抑郁症候选基因的综合网络和通路分析
BMC Syst Biol. 2011;5 Suppl 3(Suppl 3):S12. doi: 10.1186/1752-0509-5-S3-S12. Epub 2011 Dec 23.
3
Bioinformatics analysis of a TF-miRNA-lncRNA regulatory network in major depressive disorder.生物信息学分析在重度抑郁症中 TF-miRNA-lncRNA 调控网络
Psychiatry Res. 2021 May;299:113842. doi: 10.1016/j.psychres.2021.113842. Epub 2021 Feb 28.
4
Analyzing the genes and pathways related to major depressive disorder via a systems biology approach.通过系统生物学方法分析与重度抑郁症相关的基因和通路。
Brain Behav. 2020 Feb;10(2):e01502. doi: 10.1002/brb3.1502. Epub 2019 Dec 25.
5
Enriched pathways for major depressive disorder identified from a genome-wide association study.从全基因组关联研究中鉴定出与重度抑郁症相关的富集途径。
Int J Neuropsychopharmacol. 2012 Nov;15(10):1401-11. doi: 10.1017/S1461145711001891. Epub 2012 Jan 16.
6
Construction of gene-classifier and co-expression network analysis of genes in association with major depressive disorder.构建与重度抑郁症相关基因的基因分类器和共表达网络分析。
Psychiatry Res. 2020 Nov;293:113387. doi: 10.1016/j.psychres.2020.113387. Epub 2020 Aug 13.
7
Seeking for potential pathogenic genes of major depressive disorder in the Gene Expression Omnibus database.在 Gene Expression Omnibus 数据库中寻找重度抑郁症的潜在致病基因。
Asia Pac Psychiatry. 2020 Mar;12(1):e12379. doi: 10.1111/appy.12379. Epub 2019 Dec 30.
8
Molecular genetic overlap between migraine and major depressive disorder.偏头痛和重度抑郁症之间的分子遗传学重叠。
Eur J Hum Genet. 2018 Aug;26(8):1202-1216. doi: 10.1038/s41431-018-0150-2. Epub 2018 Jul 11.
9
Identification of Key Modules and Genes Associated with Major Depressive Disorder in Adolescents.鉴定与青少年重度抑郁症相关的关键模块和基因。
Genes (Basel). 2022 Mar 5;13(3):464. doi: 10.3390/genes13030464.
10
Gene Regulatory Network of Dorsolateral Prefrontal Cortex: a Master Regulator Analysis of Major Psychiatric Disorders.背外侧前额叶皮层的基因调控网络:主要精神疾病的主调控因子分析。
Mol Neurobiol. 2020 Mar;57(3):1305-1316. doi: 10.1007/s12035-019-01815-2. Epub 2019 Nov 14.

引用本文的文献

1
Co-expression network of mRNA and DNA methylation in first-episode and drug-naive adolescents with major depressive disorder.首发未用药的青少年重度抑郁症患者中mRNA与DNA甲基化的共表达网络
Front Psychiatry. 2023 Feb 23;14:1065417. doi: 10.3389/fpsyt.2023.1065417. eCollection 2023.
2
Network Pharmacology and Molecular Docking Analyses of Mechanisms Underlying Effects of the - Herb Pair on Depression.中药药对治疗抑郁症作用机制的网络药理学及分子对接分析
Evid Based Complement Alternat Med. 2021 Dec 22;2021:5704578. doi: 10.1155/2021/5704578. eCollection 2021.
3
Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature.

本文引用的文献

1
Genome-wide analysis of adolescent psychotic-like experiences shows genetic overlap with psychiatric disorders.青少年类精神病体验的全基因组分析显示与精神疾病存在遗传重叠。
Am J Med Genet B Neuropsychiatr Genet. 2018 Jun;177(4):416-425. doi: 10.1002/ajmg.b.32630. Epub 2018 Mar 31.
2
Comparison of guidelines for the treatment of unipolar depression: a focus on pharmacotherapy and neurostimulation.比较单相抑郁治疗指南:关注药物治疗和神经刺激。
Acta Psychiatr Scand. 2018 Jun;137(6):459-471. doi: 10.1111/acps.12878. Epub 2018 Mar 25.
3
Global Identification of Small Ubiquitin-related Modifier (SUMO) Substrates Reveals Crosstalk between SUMOylation and Phosphorylation Promotes Cell Migration.
抑郁症的生物、心理和社会决定因素:近期文献综述
Brain Sci. 2021 Dec 10;11(12):1633. doi: 10.3390/brainsci11121633.
4
Perinatal SSRI Exposure Disrupts G Protein-coupled Receptor BAI3 in Developing Dentate Gyrus and Adult Emotional Behavior: Relevance to Psychiatric Disorders.围产期 SSRI 暴露会破坏发育中的齿状回中的 G 蛋白偶联受体 BAI3 和成年情绪行为:与精神障碍相关。
Neuroscience. 2021 Sep 1;471:32-50. doi: 10.1016/j.neuroscience.2021.07.007. Epub 2021 Jul 19.
5
Therapeutic Targets and Mechanism of Xingpi Jieyu Decoction in Depression: A Network Pharmacology Study.醒脾解郁汤治疗抑郁症的作用靶点及机制:一项网络药理学研究
Evid Based Complement Alternat Med. 2021 Jun 23;2021:5516525. doi: 10.1155/2021/5516525. eCollection 2021.
6
PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma.PathCNN:适用于胶质母细胞瘤的可解释卷积神经网络的生存预测和途径分析。
Bioinformatics. 2021 Jul 12;37(Suppl_1):i443-i450. doi: 10.1093/bioinformatics/btab285.
7
Analysis of Differentially Expressed Genes in the Dentate Gyrus and Anterior Cingulate Cortex in a Mouse Model of Depression.抑郁小鼠模型齿状回和前扣带回皮层差异表达基因分析。
Biomed Res Int. 2021 Feb 11;2021:5013565. doi: 10.1155/2021/5013565. eCollection 2021.
8
Associations Among Monoamine Neurotransmitter Pathways, Personality Traits, and Major Depressive Disorder.单胺神经递质通路、人格特质与重度抑郁症之间的关联。
Front Psychiatry. 2020 May 13;11:381. doi: 10.3389/fpsyt.2020.00381. eCollection 2020.
全局鉴定小泛素相关修饰物(SUMO)底物揭示 SUMO 化和磷酸化的串扰促进细胞迁移。
Mol Cell Proteomics. 2018 May;17(5):871-888. doi: 10.1074/mcp.RA117.000014. Epub 2018 Feb 8.
4
Association of Heritable Cognitive Ability and Psychopathology With White Matter Properties in Children and Adolescents.儿童和青少年中可遗传认知能力及精神病理学与白质特性的关联
JAMA Psychiatry. 2018 Mar 1;75(3):287-295. doi: 10.1001/jamapsychiatry.2017.4277.
5
Cognitive Impairment in Patients With Depression: Awareness, Assessment, and Management.抑郁症患者的认知障碍:认知、评估和管理。
J Clin Psychiatry. 2017 Nov/Dec;78(9):1383-1394. doi: 10.4088/JCP.tk16043ah5c.
6
Monoamine and neuroendocrine gene-sets associate with frustration-based aggression in a gender-specific manner.单胺和神经内分泌基因簇与基于挫折的攻击行为呈性别特异性相关。
Eur Neuropsychopharmacol. 2020 Jan;30:75-86. doi: 10.1016/j.euroneuro.2017.11.016. Epub 2017 Nov 27.
7
The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder.编码原钙黏蛋白 9(PCDH9)的基因,一种新的重度抑郁症风险因素。
Neuropsychopharmacology. 2018 Apr;43(5):1128-1137. doi: 10.1038/npp.2017.241. Epub 2017 Oct 9.
8
Genetic Approaches to Understanding Psychiatric Disease.理解精神疾病的遗传学方法。
Neurotherapeutics. 2017 Jul;14(3):564-581. doi: 10.1007/s13311-017-0551-x.
9
WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit.WebGestalt 2017:一个更全面、强大、灵活和互动的基因集富集分析工具包。
Nucleic Acids Res. 2017 Jul 3;45(W1):W130-W137. doi: 10.1093/nar/gkx356.
10
Common variants in FKBP5 gene and major depressive disorder (MDD) susceptibility: a comprehensive meta-analysis.FKBP5 基因常见变体与重度抑郁症(MDD)易感性:一项综合荟萃分析。
Sci Rep. 2016 Sep 7;6:32687. doi: 10.1038/srep32687.