College of Electrical Engineering, Sichuan University, Chengdu, China.
Department of Neurology, the First Hospital of Anhui Medical University, Hefei, 230022, China.
Brain Imaging Behav. 2024 Aug;18(4):930-941. doi: 10.1007/s11682-024-00884-9. Epub 2024 Apr 26.
Although previous studies reported structural changes associated with electroconvulsive therapy (ECT) in major depressive disorder (MDD), the underlying molecular basis of ECT remains largely unknown. Here, we combined two independent structural MRI datasets of MDD patients receiving ECT and transcriptomic gene expression data from Allen Human Brain Atlas to reveal the molecular basis of ECT for MDD. We performed partial least square regression to explore whether/how gray matter volume (GMV) alterations were associated with gene expression level. Functional enrichment analysis was conducted using Metascape to explore ontological pathways of the associated genes. Finally, these genes were further assigned to seven cell types to determine which cell types contribute most to the structural changes in MDD patients after ECT. We found significantly increased GMV in bilateral hippocampus in MDD patients after ECT. Transcriptome-neuroimaging association analyses showed that expression levels of 726 genes were positively correlated with the increased GMV in MDD after ECT. These genes were mainly involved in synaptic signaling, calcium ion binding and cell-cell signaling, and mostly belonged to excitatory and inhibitory neurons. Moreover, we found that the MDD risk genes of CNR1, HTR1A, MAOA, PDE1A, and SST as well as ECT related genes of BDNF, DRD2, APOE, P2RX7, and TBC1D14 showed significantly positive associations with increased GMV. Overall, our findings provide biological and molecular mechanisms underlying structural plasticity induced by ECT in MDD and the identified genes may facilitate future therapy for MDD.
虽然先前的研究报告了电抽搐治疗(ECT)与重度抑郁症(MDD)相关的结构变化,但 ECT 的潜在分子基础在很大程度上仍不清楚。在这里,我们结合了 MDD 患者接受 ECT 的两个独立结构 MRI 数据集和艾伦人类大脑图谱的转录组基因表达数据,以揭示 ECT 治疗 MDD 的分子基础。我们进行了偏最小二乘回归,以探索灰质体积(GMV)变化是否与基因表达水平相关。使用 Metascape 进行功能富集分析,以探索相关基因的本体途径。最后,我们将这些基因进一步分配到七个细胞类型中,以确定哪些细胞类型对 ECT 后 MDD 患者的结构变化贡献最大。我们发现 ECT 后 MDD 患者双侧海马区的 GMV 显著增加。神经影像学关联分析表明,726 个基因的表达水平与 ECT 后 MDD 患者 GMV 的增加呈正相关。这些基因主要参与突触信号、钙离子结合和细胞-细胞信号,主要属于兴奋性和抑制性神经元。此外,我们发现 CNR1、HTR1A、MAOA、PDE1A 和 SST 的 MDD 风险基因以及 BDNF、DRD2、APOE、P2RX7 和 TBC1D14 的 ECT 相关基因与 GMV 的增加呈显著正相关。总之,我们的研究结果为 ECT 诱导的 MDD 结构可塑性提供了生物学和分子机制,并且鉴定出的基因可能有助于未来 MDD 的治疗。