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诊断生物标志物Hsa_circ_0126218及其在女性重度抑郁症患者外周血单个核细胞中的功能预测

Diagnostic Biomarker Hsa_circ_0126218 and Functioning Prediction in Peripheral Blood Monocular Cells of Female Patients With Major Depressive Disorder.

作者信息

Bu Tianyi, Qiao Zhengxue, Wang Wenbo, Yang Xiuxian, Zhou Jiawei, Chen Lu, Yang Jiarun, Xu Jia, Ji Yanping, Wang Yini, Zhang Wenxin, Yang Yanjie, Qiu Xiaohui, Yu Yunmiao

机构信息

Psychology and Health Management Center, Harbin Medical University, Harbin, China.

Department of Endocrinology, Peking Union Medical College Hospital, Beijing, China.

出版信息

Front Cell Dev Biol. 2021 May 20;9:651803. doi: 10.3389/fcell.2021.651803. eCollection 2021.

Abstract

INTRODUCTION

Although major depressive diroder (MDD) has brought huge burden and challenges to society globally, effective and accurate diagnoses and treatments remain inadequate. The pathogenesis that for women are more likely to suffer from depression than men needs to be excavated as well. The function of circRNAs in pathological process of depression has not been widely investigated. This study aims to explore potential diagnostic biomarker circRNA of female patients with MDD and to investigate its role in pathogenesis.

METHODS

First, an expression profile of circRNAs in the peripheral blood monocular cells of MDD patients and healthy peripherals were established based on high-throughput sequencing analysis. In addition, the top 10 differentially expressed circRNAs were quantified by quantitative real-time PCR to explore diagnostic biomarkers. To further investigate the function of biomarkers in the pathogenesis of MDD, bioinformatics analysis on downstream target genes of the biomarkers was carried out.

RESULTS

There is a mass of dysregulated circRNAs in PBMCs between female MDD patients and healthy controls. Among the top 10 differentially expressed circRNAs, hsa_circ_0126218 is more feasible as a diagnostic biomarker. The expression level of hsa_circ_0126218 displayed upregulation in patients with MDD and the area under the operating characteristic curve of hsa_circ_0126218 was 0.801 (95% CI 0.7226-0.8791, < 0.0001). To explain the competing endogenous RNA role of hsa_circ_0126218 in the pathogenesis of female MDD, a hsa_circ_0126218-miRNA-mRNA network was established. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses stated that some of the enriched pathways downstream of hsa_circ_0126218 are closely related to MDD. Moreover, we established a protein-protein network to further screen out the hub genes (PIK3CA, PTEN, MAPK1, CDC42, Lyn, YES1, EPHB2, SMAD2, STAT1, and ILK). The function of hsa_circ_0126218 was refined by constructing a verified circRNA-predicted miRNA-hub gene subnetwork.

CONCLUSION

hsa_circ_0126218 can be considered as a new female MDD biomarker, and the pathogenesis of female MDD by the downstream regulation of hsa_circ_0126218 has been predicted. These findings may help further improve the early detection, effective diagnosis, convenient monitoring of complications, precise treatment, and timely recurrence prevention of depression.

摘要

引言

尽管重度抑郁症(MDD)给全球社会带来了巨大负担和挑战,但有效且准确的诊断和治疗仍显不足。女性比男性更容易患抑郁症的发病机制也有待挖掘。环状RNA(circRNAs)在抑郁症病理过程中的作用尚未得到广泛研究。本研究旨在探索女性MDD患者潜在的诊断生物标志物circRNA,并研究其在发病机制中的作用。

方法

首先,基于高通量测序分析建立MDD患者外周血单个核细胞和健康对照外周血单个核细胞中circRNAs的表达谱。此外,通过定量实时PCR对前10个差异表达的circRNAs进行定量,以探索诊断生物标志物。为进一步研究生物标志物在MDD发病机制中的作用,对生物标志物的下游靶基因进行了生物信息学分析。

结果

女性MDD患者和健康对照的外周血单个核细胞中有大量失调的circRNAs。在前10个差异表达的circRNAs中,hsa_circ_0126218作为诊断生物标志物更具可行性。hsa_circ_0126218在MDD患者中的表达水平上调,其操作特征曲线下面积为0.801(95%CI 0.7226 - 0.8791,P < 0.0001)。为解释hsa_circ_0126218在女性MDD发病机制中的竞争性内源RNA作用,建立了hsa_circ_0126218 - miRNA - mRNA网络。基因本体论和京都基因与基因组百科全书通路富集分析表明,hsa_circ_0126218下游一些富集的通路与MDD密切相关。此外,我们建立了蛋白质 - 蛋白质网络以进一步筛选出枢纽基因(PIK3CA、PTEN、MAPK1、CDC42、Lyn、YES1、EPHB2、SMAD2、STAT1和ILK)。通过构建经过验证的circRNA - 预测的miRNA - 枢纽基因子网,对hsa_circ_0126218的功能进行了细化。

结论

hsa_circ_0126218可被视为一种新女性MDD生物标志物,并且预测了hsa_circ_01通过下游调控参与女性MDD的发病机制。这些发现可能有助于进一步改善抑郁症的早期检测、有效诊断、并发症的便捷监测、精准治疗以及及时预防复发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad1e/8174117/5bd14c8acd56/fcell-09-651803-g001.jpg

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