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DNA methylation in interleukin-11 predicts clinical response to antidepressants in GENDEP

机译:白细胞介素11中的DNA甲基化预测GENDEP对抗抑郁药的临床反应

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摘要

Transcriptional differences in interleukin-11 (IL11) after antidepressant treatment have been found to correspond to clinical response in major depressive disorder (MDD) patients. Expression differences were partly mediated by a single-nucleotide polymorphism (rs1126757), identified as a predictor of antidepressant response as part of a genome-wide association study. Here we attempt to identify whether DNA methylation, another baseline factor known to affect transcription factor binding, might also predict antidepressant response, using samples collected from the Genome-based Therapeutic Drugs for Depression project (GENDEP). DNA samples from 113 MDD individuals from the GENDEP project, who were treated with either escitalopram (n=80) or nortriptyline (n=33) for 12 weeks, were randomly selected. Percentage change in Montgomery–Åsberg Depression Rating Scale scores between baseline and week 12 were utilized as our measure of antidepressant response. The Sequenom EpiTYPER platform was used to assess DNA methylation across the only CpG island located in the IL11 gene. Regression analyses were then used to explore the relationship between CpG unit methylation and antidepressant response. We identified a CpG unit predictor of general antidepressant response, a drug by CpG unit interaction predictor of response, and a CpG unit by rs1126757 interaction predictor of antidepressant response. The current study is the first to investigate the potential utility of pharmaco-epigenetic biomarkers for the prediction of antidepressant response. Our results suggest that DNA methylation in IL11 might be useful in identifying those patients likely to respond to antidepressants, and if so, the best drug suited to each individual.
机译:已经发现抗抑郁药治疗后白介素11(IL11)的转录差异与重度抑郁症(MDD)患者的临床反应相对应。表达差异部分由单核苷酸多态性(rs1126757)介导,该多态性被确定为抗抑郁反应的预测因子,是全基因组关联研究的一部分。在这里,我们尝试使用从基于基因组的抑郁症治疗药物计划(GENDEP)中收集的样品,鉴定DNA甲基化(一种已知会影响转录因子结合的基线因子)是否也可以预测抗抑郁反应。随机选择来自GENDEP项目的113名MDD个体的DNA样本,这些个体接受艾司西酞普兰(n = 80)或去甲替林(n = 33)处理12周。基线至第12周之间蒙哥马利-奥斯伯格抑郁量表评分的百分变化被用作我们的抗抑郁药反应量度。 Sequenom EpiTYPER平台用于评估位于IL11基因中唯一CpG岛的DNA甲基化。然后使用回归分析来探讨CpG单位甲基化与抗抑郁反应之间的关系。我们确定了一般抗抑郁反应的CpG单位预测因子,通过CpG相互作用的交互预测因子预测药物,以及通过rs1126757抗抑郁反应的交互预测因子预测CpG单元。当前的研究是第一个研究药物表观遗传生物标志物用于预测抗抑郁反应的潜​​在效用。我们的结果表明,IL11中的DNA甲基化可能有助于确定那些可能对抗抑郁药有反应的患者,如果这样,那是适合每个人的最佳药物。

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