作为重度抑郁症患者抗抑郁治疗反应预测因子的巨噬细胞迁移抑制因子和白细胞介素 1-β mRNA 水平

Psychopharmacology bulletin Pub Date : 2025-01-01
Henry R Kranzler, Annjanette Stone, Steven A Schichman, L Michelle Griffin, Hannah Roggenkamp, Michael E Thase, Kevin G Lynch, David W Oslin
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引用次数: 0

摘要

背景:免疫学指标已被研究作为标准抗抑郁药的预测指标。之前的两项小型研究,预处理白细胞mRNA表达水平的细胞因子巨噬细胞迁移抑制因子(MIF)和白细胞介素1-β (il - 1-β)确定抗抑郁治疗应答者。方法:我们在多中心药物遗传抑郁症治疗试验PRIME Care研究的1299例患者中检验了这些发现。患者在24周内进行了5次抑郁症状评估。从外周血中提取mRNA,进行纯化,并使用TaqMan基因表达测定和已知拷贝数校定仪进行测定,以获得每个样品的相对定量和拷贝数。在广义估计方程模型中,我们对重复抑郁测量和基线MIF和IL-1β测量及相关协变量的二元治疗反应测量进行了回归。结果:在治疗过程中,被试抑郁得分单调下降,治疗反应百分比随之增加。我们发现细胞因子浓度与抑郁评分的变化或治疗反应的可能性没有显著关联。为了消除潜在的混淆,对126名参与者的子样本进行的二次分析也显示没有显著的关联。局限性:尽管努力控制样品和测定方法的差异,但这些可能导致缺乏先前研究的可重复性。结论:我们没有重复先前的研究结果,即治疗前两种细胞因子的表达水平预测抗抑郁治疗的反应。这就提出了关于使用这些生物标志物治疗抑郁症的临床效用的问题。
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Macrophage Migration Inhibitory Factor and Interleukin 1-β mRNA Levels as Predictors of Antidepressant Treatment Response in Major Depression.

Background: Immunologic measures have been studied as predictors of who will respond to standard antidepressants. Two previous, small studies of pretreatment leukocyte mRNA expression levels of the cytokines macrophage migration inhibitory factor (MIF) and interleukin 1-beta (IL1-β) identified antidepressant treatment responders.

Methods: We tested these findings in 1,299 patients from the PRIME Care study, a multi-center pharmacogenetic depression treatment trial. Patients underwent 5 depression-symptom assessments over 24 weeks. mRNA was extracted from peripheral blood, purified, and assayed with TaqMan gene expression assays and a known copy number calibrator to yield relative quantification and copy numbers for each sample. In generalized estimating equations models, we regressed the repeated depression measures and a binary treatment response measure on the baseline MIF and IL-1β measures and relevant covariates.

Results: Participants' depression scores decreased monotonically during treatment, with the treatment response percentage increasing concomitantly. We found no significant associations of the cytokine concentrations with either the change in depression scores or the likelihood of a treatment response. A secondary analysis limited to a subsample of 126 participants selected to remove the potential for confounding also showed no significant associations.

Limitations: Despite efforts to control for sample and assay method differences, these could have contributed to the lack of replication of prior research.

Conclusions: We did not replicate prior findings that pre-treatment expression levels for two cytokines predicted antidepressant treatment response. This raises questions about the clinical utility of using these biomarkers in treating depression.

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