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肠道微生物群作为老年抑郁症抗抑郁治疗结果的预测指标:一项前瞻性试点研究。

The intestinal microbiota as a predictor for antidepressant treatment outcome in geriatric depression: a prospective pilot study.

作者信息

Lee S Melanie, Dong Tien S, Krause-Sorio Beatrix, Siddarth Prabha, Milillo Michaela M, Lagishetty Venu, Datta Tanya, Aguilar-Faustino Yesenia, Jacobs Jonathan P, Lavretsky Helen

机构信息

Department of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, Los Angeles, CA, USA.

The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

出版信息

Int Psychogeriatr. 2022 Jan;34(1):33-45. doi: 10.1017/S1041610221000120. Epub 2021 Mar 24.

Abstract

OBJECTIVES

(1) To investigate if gut microbiota can be a predictor of remission in geriatric depression and to identify features of the gut microbiota that is associated with remission. (2) To determine if changes in gut microbiota occur with remission in geriatric depression.

DESIGN

Secondary analysis of a parent randomized placebo-controlled trial (NCT02466958).

SETTING

Los Angeles, CA, USA (2016-2018).

PARTICIPANTS

Seventeen subjects with major depressive disorder, over 60 years of age, 41.2% female.

INTERVENTION

Levomilacipran (LVM) or placebo.

MEASUREMENTS

Remission was defined by Hamilton Depression Rating Scale score of 6 or less at 12 weeks. 16S-ribosomal RNA sequencing based fecal microbiota composition and diversity were measured at baseline and 12 weeks. Differences in fecal microbiota were evaluated between remitters and non-remitters as well as between baseline and post-treatment samples. LVM and placebo groups were combined in all the analyses.

RESULTS

Baseline microbiota showed no community level α-diversity or β-diversity differences between remitters and non-remitters. At the individual taxa level, a random forest classifier created with nine genera from the baseline microbiota was highly accurate in predicting remission (AUC = .857). Of these, baseline enrichment of Faecalibacterium, Agathobacter and Roseburia relative to a reference frame was associated with treatment outcome of remission. Differential abundance analysis revealed significant genus level changes from baseline to post-treatment in remitters, but not in non-remitters.

CONCLUSIONS

This is the first study demonstrating fecal microbiota as a potential predictor of treatment response in geriatric depression. Our findings need to be confirmed in larger prospective studies.

摘要

目的

(1)研究肠道微生物群是否可作为老年抑郁症缓解的预测指标,并确定与缓解相关的肠道微生物群特征。(2)确定老年抑郁症缓解时肠道微生物群是否发生变化。

设计

对一项母本随机安慰剂对照试验(NCT02466958)进行二次分析。

地点

美国加利福尼亚州洛杉矶(2016 - 2018年)。

参与者

17名年龄超过60岁的重度抑郁症患者,女性占41.2%。

干预措施

左旋米那普明(LVM)或安慰剂。

测量指标

缓解定义为12周时汉密尔顿抑郁量表评分≤6分。在基线和12周时测量基于16S核糖体RNA测序的粪便微生物群组成和多样性。评估缓解者与未缓解者之间以及基线与治疗后样本之间粪便微生物群的差异。在所有分析中将LVM组和安慰剂组合并。

结果

基线微生物群在缓解者与未缓解者之间未显示出群落水平的α多样性或β多样性差异。在个体分类群水平上,用来自基线微生物群的9个属创建的随机森林分类器在预测缓解方面具有很高的准确性(AUC = 0.857)。其中,相对于参考框架,基线时粪杆菌属、阿加托杆菌属和罗斯氏菌属的富集与缓解的治疗结果相关。差异丰度分析显示,缓解者从基线到治疗后在属水平上有显著变化,但未缓解者没有。

结论

这是第一项证明粪便微生物群可作为老年抑郁症治疗反应潜在预测指标的研究。我们的研究结果需要在更大规模的前瞻性研究中得到证实。

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