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利用外周血转录组测序分析和 mRNA-lncRNA 共表达网络构建鉴定急性冠状动脉综合征的关键分子标志物。

Identification of key molecular markers of acute coronary syndrome using peripheral blood transcriptome sequencing analysis and mRNA-lncRNA co-expression network construction.

机构信息

Department of Cardiology, The First Hospital of Hebei Medical University, Shijiazhuang, China.

Department of Internal medicine-Endocrinology, Children's Hospital of Hebei, Shijiazhuang, China.

出版信息

Bioengineered. 2021 Dec;12(2):12087-12106. doi: 10.1080/21655979.2021.2003932.

DOI:10.1080/21655979.2021.2003932
PMID:34753383
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8809957/
Abstract

Acute coronary syndrome (ACS) is a term used to describe major cardiovascular diseases, and treatment of in-stent restenosis in patients with ACS remains a major clinical challenge. Further investigation into molecular markers of ACS may aid early diagnosis, and the treatment of ACS and post-treatment recurrence. In the present study, total RNA was extracted from the peripheral blood samples of 3 patients with ACS, 3 patients with percutaneous coronary intervention (PCI)_non-restenosis, 3 patients with PCI_restenosis and 3 healthy controls. Subsequently, RNA library construction and high-throughput sequencing were performed. DESeq2 package in R was used to screen genes that were differentially expressed between the different samples. Moreover, the intersection of the differentially expressed mRNAs (DEmRNAs) and differentially expressed long noncoding RNAs (DElncRNAs) obtained. GeneCodis4.0 was used to perform function enrichment for DEmRNAs, and lncRNA-mRNA co-expression network was constructed. The GSE60993 dataset was utilized for diagnostic analysis, and the aforementioned investigations were verified using in vitro studies. Results of the present study revealed a large number of DEmRNAs and DElncRNAs in the different groups. We selected genes in the top 10 of differential expression and also involved in the co-expression of lncRNA-mRNA for diagnostic analysis in the GSE60993 dataset. The area under curve (AUC) of (0.747), (0.769) and (0.725) were all >0.7. These results indicated that the identified mRNAs and lncRNAs may act as potential clinical biomarkers, and more specifically, and may act as potential biomarkers for the diagnosis of ACS.

摘要

急性冠状动脉综合征(ACS)是用于描述主要心血管疾病的术语,治疗 ACS 患者的支架内再狭窄仍然是一个主要的临床挑战。进一步研究 ACS 的分子标志物可能有助于早期诊断和 ACS 的治疗以及治疗后的复发。在本研究中,从 3 例 ACS 患者、3 例经皮冠状动脉介入治疗(PCI)_非再狭窄患者、3 例 PCI 再狭窄患者和 3 例健康对照者的外周血样本中提取总 RNA。随后进行 RNA 文库构建和高通量测序。使用 R 中的 DESeq2 包筛选不同样本间差异表达的基因。此外,还对差异表达的信使 RNA(DEmRNA)和差异表达的长非编码 RNA(DElncRNA)进行了交集。使用 GeneCodis4.0 对 DEmRNA 进行功能富集,构建 lncRNA-mRNA 共表达网络。利用 GSE60993 数据集进行诊断分析,并通过体外研究验证了上述研究。本研究结果显示不同组之间有大量的 DEmRNA 和 DElncRNA。我们选择差异表达基因中 top10 的基因,同时也涉及 lncRNA-mRNA 的共表达进行 GSE60993 数据集的诊断分析。(0.747)、(0.769)和(0.725)的曲线下面积(AUC)均>0.7。这些结果表明,鉴定出的 mRNAs 和 lncRNAs 可能作为潜在的临床生物标志物,更具体地说,和可能作为 ACS 诊断的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d6b/8809957/637a2e484db6/KBIE_A_2003932_F0010_OC.jpg
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