Nguyen Tuan, Efimova Olga I, Tokarchuk Artem V, Morozova Anna Yu, Zorkina Yana A, Andreyuk Denis S, Kostyuk George P, Khaitovich Philipp E
V. Zelman Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology.
V. Serbsky National Medical Research Centre of Psychiatry and Narcology of the Ministry of Health of the Russian Federation.
Consort Psychiatr. 2023 Mar 31;4(1):5-16. doi: 10.17816/CP219.
Transcriptomic studies of the brains of schizophrenia (SZ) patients have produced abundant but largely inconsistent findings about the disorders pathophysiology. These inconsistencies might stem not only from the heterogeneous nature of the disorder, but also from the unbalanced focus on particular cortical regions and protein-coding genes. Compared to protein-coding transcripts, long intergenic non-coding RNA (lincRNA) display substantially greater brain region and disease response specificity, positioning them as prospective indicators of SZ-associated alterations. Further, a growing understanding of the systemic character of the disorder calls for a more systematic screening involving multiple diverse brain regions.
We aimed to identify and interpret alterations of the lincRNA expression profiles in SZ by examining the transcriptomes of 35 brain regions.
We measured the transcriptome of 35 brain regions dissected from eight adult brain specimens, four SZ patients, and four healthy controls, using high-throughput RNA sequencing. Analysis of these data yielded 861 annotated human lincRNAs passing the detection threshold.
Of the 861 detected lincRNA, 135 showed significant region-dependent expression alterations in SZ (two-way ANOVA, BH-adjusted 0.05) and 37 additionally showed significant differential expression between HC and SZ individuals in at least one region ( Tukey test, 0.05). For these 37 differentially expressed lincRNAs (DELs), 88% of the differences occurred in a cluster of brain regions containing axon-rich brain regions and cerebellum. Functional annotation of the DEL targets further revealed stark enrichment in neurons and synaptic transmission terms and pathways.
Our study highlights the utility of a systematic brain transcriptome analysis relying on the expression profiles measured across multiple brain regions and singles out white matter regions as a prospective target for further SZ research.
对精神分裂症(SZ)患者大脑的转录组学研究已经产生了大量但在很大程度上不一致的关于该疾病病理生理学的发现。这些不一致可能不仅源于该疾病的异质性,还源于对特定皮质区域和蛋白质编码基因的不均衡关注。与蛋白质编码转录本相比,长链基因间非编码RNA(lincRNA)表现出显著更高的脑区和疾病反应特异性,使其成为SZ相关改变的潜在指标。此外,对该疾病系统性特征的日益了解要求进行更系统的筛查,涉及多个不同的脑区。
我们旨在通过检查35个脑区的转录组来识别和解释SZ中lincRNA表达谱的改变。
我们使用高通量RNA测序测量了从8个成人大脑标本(4例SZ患者和4例健康对照)中解剖出的35个脑区的转录组。对这些数据的分析产生了861个通过检测阈值的注释人类lincRNA。
在检测到的861个lincRNA中,135个在SZ中表现出显著的区域依赖性表达改变(双向方差分析,BH校正P<0.05),另外37个在至少一个区域中在HC和SZ个体之间还表现出显著的差异表达(Tukey检验,P<0.05)。对于这37个差异表达的lincRNA(DELs),88%的差异发生在一组包含富含轴突的脑区和小脑的脑区中。DEL靶点的功能注释进一步揭示了在神经元以及突触传递术语和途径方面的显著富集。
我们的研究强调了基于跨多个脑区测量的表达谱进行系统脑转录组分析的实用性,并将白质区域作为SZ进一步研究的潜在目标挑选出来。