Lei Wang , Yanan Zhang , Jiapu Wang , Xiao Jiang , Gang Wang , Haixiong Wang , Yan Shu , Han Huiyuan
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引用次数: 0
Abstract
Background
Serum exosomal long noncoding RNAs (lncRNAs) have not been studied extensively as biomarkers in heart failure (HF) with reduced ejection fraction (HFrEF). We compared lncRNA expression in patients with HFrEF hospitalized for acute HF with that in healthy individuals to identify differentially expressed exosomal lncRNAs. Furthermore, we explored the clinical value of exosomal KLF3-AS1 in diagnosing HF and investigated its role in cardiac hypertrophy.
Method
Exosomes were isolated from patients with HFrEF and healthy individuals. We performed microarray analysis of differentially expressed lncRNAs and genes (DELs and DEGs, respectively) associated with HF. Protein-protein interaction (PPI), lncRNA-mRNA-KEGG pathway, and interaction networks between lncRNAs and RNA-binding proteins (RBPs) were developed. Expression patterns were verified using qRT-PCR. The diagnostic applicability of exosomal lncRNAs in HF was quantified by plotting receiver operating characteristic (ROC) curves. The size of the cardiomyocytes was evaluated using α-actinin immunostaining.
Results
In total, 138 DELs and 1132 DEGs were identified. PPI network analysis identified INS, CTNNB1, and CAT as the most prominent hub genes, whereas MDM2, MYH6, ENAH, and KLF3-AS1 were significantly enriched in the RBP interaction network. In the validation phase, patients with HFrEF exhibited a significant increase in KLF3-AS1 expression compared with healthy individuals. Exosomal KLF3-AS1 had an area under the ROC curve of 0.861. Functionally, KLF3-AS1 overexpression reduced Ang II-induced cardiac hypertrophy in vitro.
Conclusion
Our results elucidated the exact patterns of circulating exosomal mRNAs and lncRNA expression in patients with HFrEF hospitalized for acute HF. Moreover, the high expression of exosomal KLF3-AS1 is a potential diagnostic biomarker for HFrEF.
期刊介绍:
MCP - Advancing biology through–omics and bioinformatic technologies wants to capture outcomes from the current revolution in molecular technologies and sciences. The journal has broadened its scope and embraces any high quality research papers, reviews and opinions in areas including, but not limited to, molecular biology, cell biology, biochemistry, immunology, physiology, epidemiology, ecology, virology, microbiology, parasitology, genetics, evolutionary biology, genomics (including metagenomics), bioinformatics, proteomics, metabolomics, glycomics, and lipidomics. Submissions with a technology-driven focus on understanding normal biological or disease processes as well as conceptual advances and paradigm shifts are particularly encouraged. The Editors welcome fundamental or applied research areas; pre-submission enquiries about advanced draft manuscripts are welcomed. Top quality research and manuscripts will be fast-tracked.