• 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

将抑郁评定量表表型映射到研究领域标准(RDoC)上,以告知心境障碍的生物学研究。

Mapping depression rating scale phenotypes onto research domain criteria (RDoC) to inform biological research in mood disorders.

机构信息

Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.

Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.

出版信息

J Affect Disord. 2018 Oct 1;238:1-7. doi: 10.1016/j.jad.2018.05.005. Epub 2018 May 26.

DOI:10.1016/j.jad.2018.05.005
PMID:29807322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6374030/
Abstract

BACKGROUND

Substantial research progress can be achieved if available clinical datasets can be mapped to the National Institute of Mental Health Research-Domain-Criteria (RDoC) constructs. This mapping would allow investigators to both explore more narrowly defined clinical phenotypes and the relationship of these phenotypes to biological markers and clinical outcomes approximating RDoC criteria.

METHODS

Using expert review and consensus, we defined four major depression phenotypes based on specific RDoC constructs. Having matched these constructs to individual items from the Hamilton Depression Rating Scale and Quick Inventory of Depressive Symptomatology, we identified subjects meeting criteria for each of these phenotypes from two large clinical trials of patients treated for major depression. In a post hoc analysis, we evaluated the overall treatment response based on the phenotypes: Core Depression (CD), Anxiety (ANX), and Neurovegetative Symptoms of Melancholia (NVSM) and Atypical Depression (NVSAD).

RESULTS

The phenotypes were prevalent (range 10.5-52.4%, 50% reduction range 51.9-82.9%) and tracked with overall treatment response. Although the CD phenotype was associated with lower rates of remission in both cohorts, this was mainly driven by baseline symptom severity. However, when controlling for baseline severity, patients with the ANX phenotype had a significantly lower rate of remission.

LIMITATIONS

The lack of replication between the studies of the phenotypes' treatment prediction value reflects important variability across studies that may limit generalizability.

CONCLUSION

Further work evaluating biological markers associated with these phenotypes is needed for further RDoC concept development.

摘要

背景

如果能够将现有的临床数据集映射到国家心理健康研究所研究领域标准(RDoC)的结构中,就可以取得实质性的研究进展。这种映射将使研究人员能够探索更狭义的临床表型,以及这些表型与接近 RDoC 标准的生物标志物和临床结果之间的关系。

方法

我们使用专家审查和共识,根据特定的 RDoC 结构定义了四种主要的抑郁症表型。将这些结构与汉密尔顿抑郁评定量表和抑郁症状快速清单中的各个项目相匹配,我们从两项大型抑郁症患者治疗临床试验中确定了符合这些表型标准的受试者。在事后分析中,我们根据表型评估了整体治疗反应:核心抑郁(CD)、焦虑(ANX)、忧郁的神经植物性症状(NVSM)和非典型抑郁(NVSAD)。

结果

这些表型较为普遍(范围为 10.5-52.4%,50%缓解范围为 51.9-82.9%),并与整体治疗反应相关。虽然 CD 表型与两个队列的缓解率较低相关,但这主要是由基线症状严重程度驱动的。然而,当控制基线严重程度时,具有 ANX 表型的患者缓解率明显较低。

局限性

这些表型治疗预测价值的研究之间缺乏复制反映了研究之间的重要变异性,这可能限制了其普遍性。

结论

需要进一步评估与这些表型相关的生物标志物,以进一步发展 RDoC 概念。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6374030/b8f6467adab8/nihms-971541-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6374030/a9f5815c3e63/nihms-971541-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6374030/b8f6467adab8/nihms-971541-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6374030/a9f5815c3e63/nihms-971541-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0394/6374030/b8f6467adab8/nihms-971541-f0002.jpg

相似文献

1
Mapping depression rating scale phenotypes onto research domain criteria (RDoC) to inform biological research in mood disorders.将抑郁评定量表表型映射到研究领域标准(RDoC)上,以告知心境障碍的生物学研究。
J Affect Disord. 2018 Oct 1;238:1-7. doi: 10.1016/j.jad.2018.05.005. Epub 2018 May 26.
2
Brief, unidimensional melancholia rating scales are highly sensitive to the effect of citalopram and may have biological validity: implications for the research domain criteria (RDoC).简短的单维度抑郁评定量表对西酞普兰的效果高度敏感,可能具有生物学效度:对研究领域标准(RDoC)的启示。
J Affect Disord. 2014 Jul;163:18-24. doi: 10.1016/j.jad.2014.03.049. Epub 2014 Apr 3.
3
Developing a clinical translational neuroscience taxonomy for anxiety and mood disorder: protocol for the baseline-follow up Research domain criteria Anxiety and Depression ("RAD") project.开发用于焦虑和情绪障碍的临床转化神经科学分类法:基线-随访研究领域标准焦虑与抑郁(“RAD”)项目方案。
BMC Psychiatry. 2016 Mar 15;16:68. doi: 10.1186/s12888-016-0771-3.
4
Novel Augmentation Strategies in Major Depression.重度抑郁症的新型强化治疗策略
Dan Med J. 2017 Apr;64(4).
5
Exercise is an effective treatment for positive valence symptoms in major depression.运动是治疗重度抑郁症中积极情绪症状的有效方法。
J Affect Disord. 2017 Feb;209:188-194. doi: 10.1016/j.jad.2016.08.058. Epub 2016 Oct 15.
6
The prevalence and severity of depressive symptoms along the spectrum of unipolar depressive disorders: a post hoc analysis.单相抑郁障碍谱系中抑郁症状的流行率和严重程度:一项事后分析。
J Clin Psychiatry. 2013 Nov;74(11):1084-91. doi: 10.4088/JCP.12m08194.
7
Research Domain Criteria (RDoC): A Perspective to Probe the Biological Background behind Treatment Efficacy in Depression.研究领域标准(RDoC):探究抑郁症治疗效果背后生物学背景的视角。
Curr Med Chem. 2021;28(22):4296-4320. doi: 10.2174/0929867328666210104104938.
8
Why do some depressed outpatients who are in remission according to the Hamilton Depression Rating Scale not consider themselves to be in remission?为何有些根据汉密尔顿抑郁量表评定已处于缓解期的门诊抑郁症患者不认为自己已缓解?
J Clin Psychiatry. 2012 Jun;73(6):790-5. doi: 10.4088/JCP.11m07203. Epub 2012 Apr 17.
9
Severity, course trajectory, and within-person variability of individual symptoms in patients with major depressive disorder.重度抑郁症患者个体症状的严重程度、病程轨迹和个体内变异性。
Acta Psychiatr Scand. 2019 Feb;139(2):194-205. doi: 10.1111/acps.12987. Epub 2018 Dec 9.
10
Assessing remission in major depressive disorder and generalized anxiety disorder clinical trials with the discan metric of the Sheehan disability scale.使用 Sheehan 残疾量表的 discan 度量评估重度抑郁症和广泛性焦虑症临床试验中的缓解情况。
Int Clin Psychopharmacol. 2011 Mar;26(2):75-83. doi: 10.1097/YIC.0b013e328341bb5f.

引用本文的文献

1
Elucidating Development Trajectories of Brain Functional Abnormalities in Major Depressive Disorder Utilizing a Data-Driven Disease Progression Model.利用数据驱动的疾病进展模型阐明重度抑郁症脑功能异常的发展轨迹
Hum Brain Mapp. 2025 Jun 1;46(8):e70249. doi: 10.1002/hbm.70249.
2
Utilizing depression symptom-based phenotypes to explore ketamine treatment response in major depression: The Bio-K multicenter trial.利用基于抑郁症状的表型来探索氯胺酮治疗重度抑郁症的反应:Bio-K多中心试验。
J Affect Disord. 2025 Sep 15;385:119414. doi: 10.1016/j.jad.2025.119414. Epub 2025 May 15.
3
Road Map to Better Depression Care: A Road No Longer Less Traveled.

本文引用的文献

1
Effects of Patient Preferences on Outcomes in the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) Study.患者偏好对抑郁症缓解预测因素中个体治疗与联合治疗结果的影响(PReDICT研究)
Am J Psychiatry. 2017 Jun 1;174(6):546-556. doi: 10.1176/appi.ajp.2016.16050517. Epub 2017 Mar 24.
2
Functional Connectivity of the Subcallosal Cingulate Cortex And Differential Outcomes to Treatment With Cognitive-Behavioral Therapy or Antidepressant Medication for Major Depressive Disorder.扣带回下皮质的功能连接以及重度抑郁症认知行为疗法或抗抑郁药物治疗的不同结果
Am J Psychiatry. 2017 Jun 1;174(6):533-545. doi: 10.1176/appi.ajp.2016.16050518. Epub 2017 Mar 24.
3
改善抑郁症护理的路线图:一条不再鲜有人走的道路。
Focus (Am Psychiatr Publ). 2025 Apr;23(2):123-124. doi: 10.1176/appi.focus.20250007. Epub 2025 Apr 15.
4
Associations of Prenatal Chemical and Nonchemical Stressors with Early-Adulthood Anxiety and Depressive Symptoms.产前化学和非化学应激源与成年早期焦虑和抑郁症状的关联。
Environ Health Perspect. 2023 Feb;131(2):27004. doi: 10.1289/EHP11171. Epub 2023 Feb 7.
5
Metabolomic disorders: confirmed presence of potentially treatable abnormalities in patients with treatment refractory depression and suicidal behavior.代谢组学紊乱:在治疗抵抗性抑郁症和自杀行为患者中确认存在潜在可治疗的异常。
Psychol Med. 2023 Oct;53(13):6046-6054. doi: 10.1017/S0033291722003233. Epub 2022 Nov 4.
6
Reduced nucleus accumbens functional connectivity in reward network and default mode network in patients with recurrent major depressive disorder.复发性重度抑郁症患者的奖励网络和默认模式网络的伏隔核功能连接减少。
Transl Psychiatry. 2022 Jun 6;12(1):236. doi: 10.1038/s41398-022-01995-x.
7
Making Sense of the Matrix: A Qualitative Assessment and Commentary on Connecting Psychiatric Symptom Scale Items to the Research Domain Criteria (RDoC).理解矩阵:对将精神症状量表项目与研究领域标准(RDoC)相联系的定性评估与评论
Innov Clin Neurosci. 2022 Jan-Mar;19(1-3):26-32.
8
Transdiagnostic biomarker approaches to mental health disorders: Consideration of symptom complexity, comorbidity and context.精神健康障碍的跨诊断生物标志物方法:对症状复杂性、共病性和背景的考量
Brain Behav Immun Health. 2021 Jul 28;16:100303. doi: 10.1016/j.bbih.2021.100303. eCollection 2021 Oct.
9
Invasive Electrophysiology for Circuit Discovery and Study of Comorbid Psychiatric Disorders in Patients With Epilepsy: Challenges, Opportunities, and Novel Technologies.用于癫痫患者共病精神障碍环路发现与研究的侵入性电生理学:挑战、机遇与新技术
Front Hum Neurosci. 2021 Jul 26;15:702605. doi: 10.3389/fnhum.2021.702605. eCollection 2021.
10
Resting State Functional Connectivity Biomarkers of Treatment Response in Mood Disorders: A Review.情绪障碍治疗反应的静息态功能连接生物标志物:综述
Front Psychiatry. 2021 Mar 26;12:565136. doi: 10.3389/fpsyt.2021.565136. eCollection 2021.
Pharmacokinetic Pharmacogenetic Prescribing Guidelines for Antidepressants: A Template for Psychiatric Precision Medicine.
抗抑郁药药代动力学-药效遗传学处方指南:精神疾病精准医学模板。
Mayo Clin Proc. 2016 Jul;91(7):897-907. doi: 10.1016/j.mayocp.2016.02.023. Epub 2016 Jun 21.
4
Prediction of treatment outcomes in major depressive disorder.重度抑郁症治疗结果的预测
Expert Rev Clin Pharmacol. 2015;8(6):669-72. doi: 10.1586/17512433.2015.1075390. Epub 2015 Aug 2.
5
Consistent superiority of selective serotonin reuptake inhibitors over placebo in reducing depressed mood in patients with major depression.在减轻重度抑郁症患者的抑郁情绪方面,选择性5-羟色胺再摄取抑制剂持续优于安慰剂。
Mol Psychiatry. 2016 Apr;21(4):523-30. doi: 10.1038/mp.2015.53. Epub 2015 Apr 28.
6
Depression Subtypes in Predicting Antidepressant Response: A Report From the iSPOT-D Trial.抑郁亚型对预测抗抑郁药反应的影响:来自 iSPOT-D 试验的报告。
Am J Psychiatry. 2015 Aug 1;172(8):743-50. doi: 10.1176/appi.ajp.2015.14020181. Epub 2015 Mar 27.
7
Integrating NIMH Research Domain Criteria (RDoC) into Depression Research.将美国国立精神卫生研究所研究领域标准(RDoC)整合到抑郁症研究中。
Curr Opin Psychol. 2015 Aug;4:6-12. doi: 10.1016/j.copsyc.2015.01.004.
8
Treatment outcomes of depression: the pharmacogenomic research network antidepressant medication pharmacogenomic study.抑郁症的治疗结果:药物基因组学研究网络抗抑郁药物药物基因组学研究
J Clin Psychopharmacol. 2014 Jun;34(3):313-7. doi: 10.1097/JCP.0000000000000099.
9
Toward a neuroimaging treatment selection biomarker for major depressive disorder.针对重度抑郁症的神经影像学治疗选择生物标志物。
JAMA Psychiatry. 2013 Aug;70(8):821-9. doi: 10.1001/jamapsychiatry.2013.143.
10
Melancholic and atypical subtypes of depression represent distinct pathophysiological entities: CRH, neural circuits, and the diathesis for anxiety and depression.抑郁症的 melancholic 和非典型亚型代表不同的病理生理实体:促肾上腺皮质激素释放激素、神经回路以及焦虑和抑郁的素质。
Mol Psychiatry. 2013 Jun;18(6):632-4. doi: 10.1038/mp.2013.5.