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High-throughput screening of differentially expressed lncRNAs in peripheral blood plasma between coronary artery disease patients and controls

ABSTRACT: This study aims to discover unknown LncRNAs associated with Coronary Artery Disease（CAD）in peripheral blood. Three pairs of clinical CAD group and control blood plasma samples were texted in this experiment by high-throughput sequencing methods. Cuffdiff software was used to get the expression profiles of LncRNAs, differentially expressed LncRNAs were identified based on fold change and p-value. Differently expressed genes in peripheral plasma and blood monocytes were verified by Q-PCR in large samples of clinical CAD group and controls. We find three LncRNAs uc003pxg.1, ENST00000565257, ENST00000568324 were up-regulated obviously in peripheral blood mononuclear cells of CAD patients and these outcomes were consistent with the sequencing results. The ideal LncRNAs were detected preliminarily. This founding lays the foundation for further research，and provides theoretical basis of LncRNA using for CAD early clinical screening.

ORGANISM(S): Homo sapiens

PROVIDER: GSE171551 | GEO | 2021/07/14

REPOSITORIES: GEO

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Project description:Objectives: To analyze the gene expression profile of peripheral blood monocytes in different stages of coronary artery disease (CAD) by transcriptome sequencing, and to explore potential genes and pathway involved in CAD pathogenesis. Methods: According to the screening of coronary angiography and quality control of blood samples, 8 intermediate coronary lesion patients were selected, then 8 patients with acute myocardial infarction and 8 patients with normal coronary angiography were matched by age and gender. Transcriptomics sequencing was conducted for the peripheral blood monocytes of these 24 samples by using Illumina HiSeq high-throughput platform. Then differentially expressed genes (DEGs) were analyzed. Gene Ontology (GO) functional annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation and protein-protein interaction (PPI) network were applied to annotate the potential functions of DEGs. Results: Compared with the normal coronary angiography group, we identified a total of 169 DEGs in the intermediate coronary lesion group, which were significantly enriched in 59 GO terms and 17 KEGG pathways. Compared with the normal coronary angiography group, we found a total of 2028 DEGs, which were significantly enriched in 311 GO terms and 20 KEGG pathways in the acute myocardial infarction group. The cross-comparison between normal versus intermediate coronary lesion group, and normal versus acute myocardial infarction group included 98 differential genes with 65 up regulated and 33 down regulated genes, which were significantly enriched in 46 GO terms and 10 KEGG pathways. During the progression of CAD, there was a significant up-regulated expression of CSF3、IL-1A、CCR7 and IL-18, and down-regulated expression of MAPK14. Besides GO items such as inflammatory response was significantly enriched, KEGG analysis showed the most remarkable enrichments in IL-17 signaling pathway and cytokine-cytokine receptor interactions. Conclusions: Transcriptomics profiles vary in patients with different severity of CAD. CSF3、IL-1A、CCR7、IL-18 and MAPK14, as well as IL-17 signaling pathway and cytokines and cytokine receptor interaction signaling pathway related with inflammatory response might be the potential biomarker and targets for the treatment of coronary artery disease.

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High-throughput screening of differentially expressed lncRNAs in peripheral blood plasma between coronary artery disease patients and controls

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