Key result
The combination of lncRNAs MALAT1 and LNC_000226 demonstrated high diagnostic value for distinguishing unstable angina from normal coronary arteries, with an AUC of 0.878.
Why the study?
Long noncoding RNAs play critical roles in CAD pathogenesis, but their expression profiles and association with unstable angina remained poorly understood.
Case-Control (n=104)
No
LNC_000226 and MALAT1 are differentially expressed in unstable angina and may serve as potential diagnostic biomarkers.
Answers are grounded in this paper and cite their sources.
May identify UA biomarkers from PBMC lncRNA profiles; leaves open clinical translation pending confirmatory studies.
BACKGROUND: Increasing evidences suggest that long noncoding RNAs (lncRNAs) play critical roles in the pathogenesis of coronary artery disease (CAD). However, the association between lncRNAs expression profiles and unstable angina (UA) remained poorly known. Thus, the present study aims to investigate expression patterns, biological functions, and diagnostic value of lncRNAs in UA. METHODS: The present study explored the lncRNA and mRNA expression profiles in peripheral blood mononuclear cells (PBMCs) of UA patients and normal coronary artery (NCA) controls using RNA-seq. The biological function of differentially expressed lncRNAs was analyzed using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. The expression of the selected lncRNAs was validated in another 44 UA patients and 46 NCA controls. Receiver operating characteristic curve (ROC) was performed to evaluate the diagnostic value of lncRNAs for UA. RESULTS: A total of 98 lncRNAs and 615 mRNAs were observed differentially expressed in PBMCs of UA patients as compared to NCA controls. The 10 most upregulated lncRNAs were LNC_000226, DANCR, RP1-167A14.2, LNC_002091, LNC_001526, LNC_001165, LNC_002772, LNC_000088, LNC_001226, and FAM157C, and the 10 most downregulated lncRNAs were RP11-734I18.1, RP11-185E8.1, RP11-360I2.1, LNC_001302, LNC_001287, RN7SL471P, LNC_000914, LINC01506, RP11-160E2.6, and LNC_000995. LNC_000226 and MALAT1 have high area under the curve values (AUC) for distinguishing UA from NCA patients (0.810 and 0.799, respectively), and the combination of MALAT1 and LNC_000226 increased the AUC value to 0.878. CONCLUSIONS: The present study added our understanding about the lncRNA expression profile in UA patients and provided potential biomarkers for the diagnosis of UA.
No takes yet. Share an insight, caveat, or question.
Liu et al. (2021) conducted a case-control in Unstable angina (n=104). LncRNA expression (MALAT1 and LNC_000226) vs. Normal coronary artery (NCA) controls was evaluated on Diagnostic accuracy (AUC) for distinguishing unstable angina from normal coronary arteries (AUC 0.878). The combination of lncRNAs MALAT1 and LNC_000226 demonstrated high diagnostic value for distinguishing unstable angina from normal coronary arteries, with an AUC of 0.878.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: