Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA.
Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Transl Psychiatry. 2019 Sep 2;9(1):215. doi: 10.1038/s41398-019-0550-2.
DNA methylation plays an important role in major depressive disorder (MDD), but the specific genes and genomic regions associated with MDD remain largely unknown. Here we conducted genome-wide profiling of DNA methylation (Infinium MethylationEPIC BeadChip) and gene expression (RNA-seq) in peripheral blood monocytes from 79 monozygotic twin pairs (mean age 38.2 ± 15.6 years) discordant on lifetime history of MDD to identify differentially methylated regions (DMRs) and differentially expressed genes (DEGs) associated with MDD, followed by replication in brain tissue samples. Integrative DNA methylome and transcriptome analysis and network analysis was performed to identify potential functional epigenetic determinants for MDD. We identified 39 DMRs and 30 DEGs associated with lifetime history of MDD. Some genes were replicated in postmortem brain tissue. Integrative DNA methylome and transcriptome analysis revealed both negative and positive correlations between DNA methylation and gene expression, but the correlation pattern varies greatly by genomic locations. Network analysis revealed distinct gene modules enriched in signaling pathways related to stress responses, neuron apoptosis, insulin receptor signaling, mTOR signaling, and nerve growth factor receptor signaling, suggesting potential functional relevance to MDD. These results demonstrated that altered DNA methylation and gene expression in peripheral blood monocytes are associated with MDD. Our results highlight the utility of using peripheral blood epigenetic markers and demonstrate that a monozygotic discordant co-twin control design can aid in the discovery of novel genes associated with MDD. If validated, the newly identified genes may serve as novel biomarkers or druggable targets for MDD and related disorders.
DNA 甲基化在重度抑郁症(MDD)中起着重要作用,但与 MDD 相关的具体基因和基因组区域仍很大程度上未知。在这里,我们对 79 对单卵双胞胎(平均年龄 38.2±15.6 岁)外周血单核细胞进行了全基因组 DNA 甲基化(Infinium MethylationEPIC BeadChip)和基因表达(RNA-seq)谱分析,这些双胞胎在一生中均存在 MDD 病史,以鉴定与 MDD 相关的差异甲基化区域(DMRs)和差异表达基因(DEGs),随后在脑组织样本中进行了复制。进行了整合的 DNA 甲基化组和转录组分析以及网络分析,以鉴定 MDD 的潜在功能表观遗传决定因素。我们鉴定出与终生 MDD 病史相关的 39 个 DMRs 和 30 个 DEGs。一些基因在死后脑组织中得到了复制。整合的 DNA 甲基化组和转录组分析显示,DNA 甲基化与基因表达之间存在负相关和正相关,但相关模式在基因组位置上有很大差异。网络分析揭示了富含与应激反应、神经元凋亡、胰岛素受体信号、mTOR 信号和神经生长因子受体信号相关的信号通路的独特基因模块,这表明它们与 MDD 具有潜在的功能相关性。这些结果表明,外周血单核细胞中 DNA 甲基化和基因表达的改变与 MDD 有关。我们的研究结果强调了使用外周血表观遗传标志物的实用性,并表明使用单卵双胞胎不一致双胞胎对照设计可以帮助发现与 MDD 相关的新基因。如果得到验证,新鉴定的基因可能成为 MDD 和相关疾病的新型生物标志物或可用药靶。