Department of Psychiatry, Washington University in Saint Louis School of Medicine, 4444 Forest Park, Campus Box 8134, Saint Louis, MO, 63110, USA.
NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
Acta Neuropathol Commun. 2022 Mar 4;10(1):29. doi: 10.1186/s40478-022-01328-5.
Autosomal-dominant Alzheimer's disease (ADAD) is caused by pathogenic mutations in APP, PSEN1, and PSEN2, which usually lead to an early age at onset (< 65). Circular RNAs are a family of non-coding RNAs highly expressed in the nervous system and especially in synapses. We aimed to investigate differences in brain gene expression of linear and circular transcripts from the three ADAD genes in controls, sporadic AD, and ADAD.
We obtained and sequenced RNA from brain cortex using standard protocols. Linear counts were obtained using the TOPMed pipeline; circular counts, using python package DCC. After stringent quality control (QC), we obtained the counts for PSEN1, PSEN2 and APP genes. Only circPSEN1 passed QC. We used DESeq2 to compare the counts across groups, correcting for biological and technical variables. Finally, we performed in-silico functional analyses using the Circular RNA interactome website and DIANA mirPath software.
Our results show significant differences in gene counts of circPSEN1 in ADAD individuals, when compared to sporadic AD and controls (ADAD = 21, AD = 253, Controls = 23-ADADvsCO: logFC = 0.794, p = 1.63 × 10, ADADvsAD: logFC = 0.602, p = 8.22 × 10). The high gene counts are contributed by two circPSEN1 species (hsa_circ_0008521 and hsa_circ_0003848). No significant differences were observed in linear PSEN1 gene expression between cases and controls, indicating that this finding is specific to the circular forms. In addition, the high circPSEN1 levels do not seem to be specific to PSEN1 mutation carriers; the counts are also elevated in APP and PSEN2 mutation carriers. In-silico functional analyses suggest that circPSEN1 is involved in several pathways such as axon guidance (p = 3.39 × 10), hippo signaling pathway (p = 7.38 × 10), lysine degradation (p = 2.48 × 10) or Wnt signaling pathway (p = 5.58 × 10) among other KEGG pathways. Additionally, circPSEN1 counts were able to discriminate ADAD from sporadic AD and controls with an AUC above 0.70.
Our findings show the differential expression of circPSEN1 is increased in ADAD. Given the biological function previously ascribed to circular RNAs and the results of our in-silico analyses, we hypothesize that this finding might be related to neuroinflammatory events that lead or that are caused by the accumulation of amyloid-beta.
常染色体显性阿尔茨海默病(ADAD)是由 APP、PSEN1 和 PSEN2 中的致病性突变引起的,这些突变通常导致发病年龄较早(<65 岁)。环状 RNA 是一类在神经系统中高度表达的非编码 RNA,特别是在突触中。我们旨在研究 ADAD 患者、散发性 AD 患者和对照组中来自三个 ADAD 基因的线性和环状转录本的脑基因表达差异。
我们使用标准方案从大脑皮层中获取并测序 RNA。线性计数使用 TOPMed 管道获得;环状计数使用 python 包 DCC。经过严格的质量控制(QC)后,我们获得了 PSEN1、PSEN2 和 APP 基因的计数。只有 circPSEN1 通过了 QC。我们使用 DESeq2 来比较各组的计数,同时纠正生物学和技术变量。最后,我们使用 Circular RNA interactome 网站和 DIANA mirPath 软件进行了计算机功能分析。
我们的结果显示,与散发性 AD 和对照组相比,ADAD 个体中 circPSEN1 的基因计数存在显著差异(ADAD=21,AD=253,对照组=23-ADADvsCO:logFC=0.794,p=1.63×10,ADADvsAD:logFC=0.602,p=8.22×10)。高基因计数归因于两种 circPSEN1 物种(hsa_circ_0008521 和 hsa_circ_0003848)。在病例和对照组之间,PSEN1 基因的线性表达没有观察到显著差异,这表明这一发现是环状形式所特有的。此外,circPSEN1 的高水平似乎不仅限于 PSEN1 突变携带者;APP 和 PSEN2 突变携带者的 circPSEN1 计数也升高。计算机功能分析表明,circPSEN1 参与了几种途径,如轴突导向(p=3.39×10)、 Hippo 信号通路(p=7.38×10)、赖氨酸降解(p=2.48×10)或 Wnt 信号通路(p=5.58×10)等其他 KEGG 途径。此外,circPSEN1 的计数能够以 AUC 大于 0.70 的方式将 ADAD 与散发性 AD 和对照组区分开来。
我们的研究结果表明,ADAD 中 circPSEN1 的表达增加。鉴于以前赋予环状 RNA 的生物学功能以及我们的计算机分析结果,我们假设这一发现可能与神经炎症事件有关,这些事件导致或由淀粉样β的积累引起。