Comprehensive analysis of circRNA expression profile and circRNA-miRNA-mRNA network susceptibility to very early-onset schizophrenia.

IF 3 Q2 PSYCHIATRY Schizophrenia (Heidelberg, Germany) Pub Date : 2023-10-10 DOI:10.1038/s41537-023-00399-0
Huanhuan Huang, Jie Luo, Yanjie Qi, Yuanzhen Wu, Junhui Qi, Xiuping Yan, Gaoyang Xu, Fan He, Yi Zheng
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Abstract

To explore the potential role of circular RNAs (circRNAs) in children developing very early-onset schizophrenia (VEOS). Total RNA was extracted from the plasma samples of 10 VEOS patients and eight healthy controls. Expression profiles of circRNAs, micro RNAs (miRNAs), and messenger RNAs (mRNAs) were analyzed using RNA-seq. The interaction networks between miRNAs and targets were predicted using the miRanda tool. A differentially expressed circRNA-miRNA-mRNA (ceRNA) network was further constructed. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of the target mRNAs in the ceRNA network were performed to predict the potential functions of their host genes. The patient group and the control group were also compared on the regulatory patterns of circRNAs on mRNAs. 1934 circRNAs were identified from the samples and reported for the first time in schizophrenia. The circRNA expression levels were lower in the VEOS group than in the healthy control group, and 1889 circRNAs were expressed only in the control group. Differential expression analysis (i.e., log2fold change > 1.5, p 0.05) identified 235 circRNAs (1 up-regulated, 234 down-regulated), 11 miRNAs (7 up-regulated, 4 down-regulated), and 2,308 mRNAs (1906 up-regulated, 402 down-regulated) respectively. In VEOS, a ceRNA network with 10 down-regulated circRNA targets, 6 up-regulated miRNAs, and 47 down-regulated mRNAs was constructed. The target genes were involved in the membrane, the signal transduction, and the cytoskeleton and transport pathways. Finally, different expression correlation patterns of circRNA and mRNA in the network were observed between the patient group and the control group. The current research is the first to reveal the differentially expressed circRNAs in the plasma of VEOS patients. A circRNA-miRNA-mRNA network was also conducted in this study. It may be implied that the circRNAs in this network are potential diagnostic biomarkers for VEOS and they play an important role in the onset and development of VEOS symptoms.

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circRNA表达谱和circRNA-miRNA-mRNA网络对极早发性精神分裂症易感性的综合分析。
探讨环状核糖核酸(circRNAs)在儿童发展为极早发性精神分裂症(VEOS)中的潜在作用。从10名VEOS患者和8名健康对照的血浆样本中提取总RNA。使用RNA-seq分析circRNA、微小RNA(miRNA)和信使RNA(mRNA)的表达谱。使用miRanda工具预测miRNA和靶标之间的相互作用网络。进一步构建了差异表达circRNA-miRNA-mRNA(ceRNA)网络。对ceRNA网络中的靶mRNA进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路分析,以预测其宿主基因的潜在功能。还比较了患者组和对照组circRNAs对mRNAs的调节模式。从样本中鉴定出1934个circRNA,并首次在精神分裂症中报道。VEOS组的circRNA表达水平低于健康对照组,仅在对照组中表达了1889个circRNA。差异表达分析(即log2倍数变化>1.5,p 0.05)分别鉴定了235个circRNA(1个上调,234个下调)、11个miRNA(7个上调,4个下调)和2308个mRNA(1906个上调,402个下调)。在VEOS中,构建了一个由10个下调的circRNA靶标、6个上调的miRNA和47个下调的mRNA组成的ceRNA网络。靶基因参与细胞膜、信号转导、细胞骨架和转运途径。最后,在患者组和对照组之间观察到circRNA和mRNA在网络中的不同表达相关性模式。目前的研究首次揭示了VEOS患者血浆中差异表达的circRNA。circRNA-miRNA-mRNA网络也在本研究中进行。这可能意味着该网络中的circRNA是VEOS的潜在诊断生物标志物,它们在VEOS症状的发生和发展中发挥着重要作用。
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