Francia Marcelo, Bot Merel, Boltz Toni, De la Hoz Juan F, Boks Marco, Kahn René, Ophoff Roel
Interdepartmental Program for Neuroscience, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, UCLA.
bioRxiv. 2024 Mar 5:2023.05.19.541494. doi: 10.1101/2023.05.19.541494.
Bipolar disorder (BD) is a heritable disorder characterized by shifts in mood that manifest in manic or depressive episodes. Clinical studies have identified abnormalities of the circadian system in BD patients as a hallmark of underlying pathophysiology. Fibroblasts are a well-established model for measuring circadian patterns. We set out to examine the underlying genetic architecture of circadian rhythm in fibroblasts, with the goal to assess its contribution to the polygenic nature of BD disease risk. We collected, from primary cell lines of 6 healthy individuals, temporal genomic features over a 48 hour period from transcriptomic data (RNA-seq) and open chromatin data (ATAC-seq). The RNA-seq data showed that only a limited number of genes, primarily the known core clock genes such as , , , and display circadian patterns of expression consistently across cell cultures. The ATAC-seq data identified that distinct transcription factor families, like those with the basic helix-loop-helix motif, were associated with regions that were increasing in accessibility over time. Whereas known glucocorticoid receptor target motifs were identified in those regions that were decreasing in accessibility. Further evaluation of these regions using stratified linkage disequilibrium score regression (sLDSC) analysis failed to identify a significant presence of them in the known genetic architecture of BD, and other psychiatric disorders or neurobehavioral traits in which the circadian rhythm is affected. In this study, we characterize the biological pathways that are activated in this circadian model, evaluating the relevance of these processes in the context of the genetic architecture of BD and other disorders, highlighting its limitations and future applications for circadian genomic studies.
双相情感障碍(BD)是一种遗传性疾病,其特征是情绪波动,表现为躁狂或抑郁发作。临床研究已确定BD患者的昼夜节律系统异常是潜在病理生理学的一个标志。成纤维细胞是一种成熟的用于测量昼夜节律模式的模型。我们着手研究成纤维细胞中昼夜节律的潜在遗传结构,目的是评估其对BD疾病风险多基因性质的贡献。我们从6名健康个体的原代细胞系中收集了48小时内转录组数据(RNA测序)和开放染色质数据(ATAC测序)的时间基因组特征。RNA测序数据表明,只有少数基因,主要是已知的核心时钟基因,如 、 、 、 和 ,在细胞培养中始终呈现昼夜表达模式。ATAC测序数据确定,不同的转录因子家族,如具有基本螺旋-环-螺旋基序的家族,与随着时间可及性增加的区域相关。而在可及性降低的区域中发现了已知的糖皮质激素受体靶基序。使用分层连锁不平衡评分回归(sLDSC)分析对这些区域进行进一步评估,未能在BD以及其他昼夜节律受影响的精神疾病或神经行为特征的已知遗传结构中发现它们的显著存在。在本研究中,我们描述了在这个昼夜节律模型中被激活的生物学途径,评估了这些过程在BD和其他疾病遗传结构背景下的相关性,突出了其局限性以及昼夜节律基因组研究的未来应用。