School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Department of Traditional Chinese Medicine Rehabilitation, Chongqing University Three Gorges Hospital, Chongqing, China.
Psychophysiology. 2024 Dec;61(12):e14671. doi: 10.1111/psyp.14671. Epub 2024 Aug 19.
Chronic insomnia disorder (CID) is a multidimensional disease that may influence various levels of brain organization, spanning the macroscopic structural connectome to microscopic gene expression. However, the connection between genomic variations and morphological alterations in CID remains unclear. Here, we investigated brain structural changes in CID patients at the whole-brain level and whether these link to transcriptional characteristics. Brain structural data from 104 CID patients and 102 matched healthy controls (HC) were acquired to examine cortical structural alterations using morphometric similarity (MS) analysis. Partial least squares (PLS) regression and transcriptome data from the Allen Human Brain Atlas were used to extract genomes related to MS changes. Gene-category enrichment analysis (GCEA) was used to identify potential molecular mechanisms behind the observed structural changes. We found that CID patients exhibited MS reductions in the parietal and limbic regions, along with enhancements in the temporal and frontal regions compared to HCs (p < .05). Subsequently, PLS and GCEA revealed that these MS alterations were spatially correlated with a set of genes, especially those significantly correlated with excitatory and inhibitory neurons and chronic neuroinflammation. This neuroimaging-transcriptomic study bridges the gap between cortical structural changes and the molecular mechanisms in CID patients, providing novel insight into the pathophysiology of insomnia and targeted treatments.
慢性失眠障碍(CID)是一种多维疾病,可能影响大脑组织的各个层次,从宏观的结构连接组到微观的基因表达。然而,基因组变异与 CID 形态改变之间的联系尚不清楚。在这里,我们在全脑水平上研究了 CID 患者的大脑结构变化,以及这些变化是否与转录特征相关。我们获得了 104 名 CID 患者和 102 名匹配的健康对照者(HC)的大脑结构数据,使用形态相似性(MS)分析来检查皮质结构的改变。我们使用偏最小二乘(PLS)回归和艾伦人类大脑图谱的转录组数据来提取与 MS 变化相关的基因组。基因类别富集分析(GCEA)用于确定观察到的结构变化背后的潜在分子机制。我们发现,与 HC 相比,CID 患者的顶叶和边缘区域的 MS 降低,而颞叶和额叶区域的 MS 增强(p<0.05)。随后,PLS 和 GCEA 表明,这些 MS 改变与一组基因在空间上相关,特别是那些与兴奋性和抑制性神经元和慢性神经炎症显著相关的基因。这项神经影像学-转录组学研究弥合了 CID 患者皮质结构变化与分子机制之间的差距,为失眠的病理生理学和靶向治疗提供了新的见解。