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

Mapping depression rating scale phenotypes onto research domain criteria (RDoC) to inform biological research in mood disorders.
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DOI:
10.1016/j.jad.2018.05.005
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发表时间:
2018-10-01
影响因子:
6.6
通讯作者:
Mood Disorders Precision Medicine Consortium (MDPMC)
Mood Disorders Precision Medicine Consortium (MDPMC)
中科院分区:
医学2区
文献类型:
--
作者:
Ahmed AT;Frye MA;Rush AJ;Biernacka JM;Craighead WE;McDonald WM;Bobo WV;Riva-Posse P;Tye SJ;Mayberg HS;Hall-Flavin DK;Skime MK;Jenkins GD;Wang L;Krishnan RR;Weinshilboum RM;Kaddurah-Daouk R;Dunlop BW;Mood Disorders Precision Medicine Consortium (MDPMC)

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如果可用的临床数据集可以映射到国家心理健康研究所的领域标准(RDoC)结构,则可以取得实质性的研究进展。这一图谱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的关系。通过专家评审和共识,我们根据特定的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量表中的单个项目相匹配,我们从两项治疗重度抑郁症患者的大型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,我们评估了基于表型的总体治疗反应:核心抑郁(CD)、焦虑(ANX)、抑郁症(NVSM)和非典型抑郁(NVSAD)的神经植物症状。表型普遍(范围10.5% - 52.4%,50%减少范围51.9% - 82.9%),并与总体治疗反应相跟踪。尽管在两个队列中,CD表型与较低的缓解率相关,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,ANX表型患者的缓解率明显较低。表型治疗预测值的研究之间缺乏重复,反映了研究之间的重要变异性,这可能限制了通用性。为了进一步发展RDoC概念,需要进一步评估与这些表型相关的生物标志物。
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. 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). 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. The lack of replication between the studies of the phenotypes’ treatment prediction value reflects important variability across studies that may limit generalizability. Further work evaluating biological markers associated with these phenotypes is needed for further RDoC concept development.
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