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

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 PDZK1IP1 (0.747), PROK2 (0.769) and LAMP3 (0.725) were all >0.7. These results indicated that the identified mRNAs and lncRNAs may act as potential clinical biomarkers, and more specifically, PDZK1IP1, PROK2 and LAMP3 may act as potential biomarkers for the diagnosis of ACS.

Evaluation of lncRNA Expression Pattern and Potential Role in Heart Failure Pathology

“…Blood is an easily accessible tissue and is associated with the occurrence of CVDs and the expression of their risk factors [ 34 ]. It can also provide information about a patient's status and can be expanded to very large sample sizes for screening biomarkers [ 21 , 35 , 36 ]. In this study, we collected 100 blood samples from 100 volunteers, including 50 HF patients and 50 healthy controls.…”

Identification of biomarkers associated with diagnosis of acute lung injury based on bioinformatics and machine learning

“…It is overexpressed in a wide variety of human carcinomas and has been proposed as a predictive biomarker for acute coronary syndrome, reactive oxygen species and treatments in cervical tumors or laryngeal carcinoma. [ 24 , 25 ] PDZK1IP1 expression directly regulates NFAT2 and IL-6 activation, inducing the differentiation of monocytes to dendritic cells and suggesting a causal role of PDZK1IP1 in inflammation. [ 26 ] Furthermore, the ectopic expression of PDZK1IP1 increases glucose and mannose uptake, generating an increase in reactive oxygen species levels that can exacerbate tissue damage and pulmonary edema and thus aggravate ALI.…”

Long non-coding RNA SNHG7 serves as a diagnostic biomarker for acute coronary syndrome and its predictive value for the clinical outcome after percutaneous coronary intervention

“…LncRNAs are widely involved in cardiovascular diseases and pathological conditions, and their expression levels change, making them valuable as biomarkers [ 7 , 8 ]. The expression of lncRNA FENDRR is declined in patients with unstable angina (UA) and ST-segment elevation myocardial infarction (STEMI), supporting that this lncRNA may serve as a non-invasive marker [ 9 ].…”