Suppr超能文献

基因组范围内基因表达在药理学激素转换模型及其与抑郁症状的关系。

Genome-wide gene expression in a pharmacological hormonal transition model and its relation to depressive symptoms.

机构信息

School of Psychology and Counselling, Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Qld, Australia.

Max Planck Institute of Psychiatry, Munich, Germany.

出版信息

Acta Psychiatr Scand. 2019 Jul;140(1):77-84. doi: 10.1111/acps.13038. Epub 2019 May 24.

Abstract

OBJECTIVES

Sensitivity to sex-steroid hormone fluctuations may increase risk for perinatal depression. We aimed to identify genome-wide biological profiles in women demonstrating sensitivity to pharmacological sex-hormone manipulation with gonadotrophin-releasing hormone agonist (GnRHa).

METHODS

Longitudinal gene expression (Illumina Human HT12.v4) and DNA methylation data (Infinium HumanMethylation450K BeadChip) from 60 women (30 GnRHa, 30 placebo) were generated (Trial ID: NCT02661789). Differences between baseline and two follow-up points (initial stimulation- and subsequent early suppression phase) in the biphasic ovarian hormone response to GnRHa were assessed using linear mixed effects models.

RESULTS

Genome-wide analysis revealed 588 probes differentially expressed from GnRHa intervention to first stimulatory phase follow-up (intervention group × time) after 10% fdr multiple testing correction. Of these, 54% genes were also significantly associated with estradiol changes over time (proxy for GnRHa response magnitude), 9.5% were associated with changes in depressive symptoms, and 38% were associated with changes in neocortical serotonin transporter binding. The genes were implicated in TGF beta signaling, adipogenesis, regulation of actin cytoskeleton, and focal adhesion pathways and enriched for DNA methylation changes (P = 0.006).

CONCLUSIONS

These findings point toward an altered peripheral blood transcriptomic landscape in a pharmacological model of sex-hormone-induced depressive symptoms.

摘要

目的

对性激素波动的敏感性可能会增加围产期抑郁的风险。我们旨在确定对促性腺激素释放激素激动剂(GnRHa)进行药理学性激素操作敏感的女性的全基因组生物学特征。

方法

对 60 名女性(30 名 GnRHa,30 名安慰剂)的纵向基因表达(Illumina Human HT12.v4)和 DNA 甲基化数据(Infinium HumanMethylation450K BeadChip)进行了生成(试验 ID:NCT02661789)。使用线性混合效应模型评估 GnRHa 对双相卵巢激素反应中基线与两个随访点(初始刺激和随后的早期抑制期)之间的差异。

结果

全基因组分析显示,在经过 10%fdr 多重测试校正后,从 GnRHa 干预到第一次刺激后随访(干预组×时间)的 588 个探针差异表达。其中,54%的基因与雌二醇随时间的变化也显著相关(GnRHa 反应幅度的代理),9.5%与抑郁症状的变化相关,38%与新皮层 5-羟色胺转运体结合的变化相关。这些基因涉及 TGF-β信号转导、脂肪生成、肌动蛋白细胞骨架调节和焦点粘连途径,并富含 DNA 甲基化变化(P=0.006)。

结论

这些发现表明,在性激素诱导的抑郁症状的药理学模型中,外周血转录组图谱发生了改变。

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