TY - JOUR
T1 - Differentially Expressed Functional LncRNAs in Human Subjects With Metabolic Syndrome Reflect a Competing Endogenous RNA Network in Circulating Extracellular Vesicles
AU - Li, Yongxin
AU - Meng, Yu
AU - Liu, Yuanhang
AU - van Wijnen, Andre J.
AU - Eirin, Alfonso
AU - Lerman, Lilach O.
N1 - Funding Information:
AE and LL conceptualized the idea. YL, AE, and LL designed the experiments. YL wrote the article. YL and YM collected and assembled the data. AE involved in data collection and analysis. YL, YM, and AVW involved in data analysis and interpretation. AVW, AE, and LL edited the article. YM and LL gave financial support. All authors read and approved the article.
Publisher Copyright:
© Copyright © 2021 Li, Meng, Liu, van Wijnen, Eirin and Lerman.
PY - 2021/8/17
Y1 - 2021/8/17
N2 - Metabolic syndrome (MetS), a collective cluster of disease risk factors that include dyslipidemia, obesity, inflammation, hypertension, and insulin resistance, affects numerous people worldwide. Accumulating studies have shown that long non-coding RNAs (lncRNAs) serve as competing endogenous RNAs (ceRNAs) to play essential roles in regulating gene expression in various diseases. To explore the role of lncRNAs as ceRNAs in MetS, we examined a MetS-associated network in circulating extracellular vesicles (EVs) collected from the systemic blood of MetS and control patients (n = 5 each). In total, 191 differentially expressed lncRNAs, 1,389 mRNAs, and 138 miRNAs were selected for further analysis. Biological processes and pathway functional enrichment analysis were performed based on the Database for Annotation, Visualization, and Integrated Discovery (DAVID). The lncRNA/mRNA/miRNA ceRNA network was constructed by Cytoscape v3.8 based on the DE-RNAs and included 13 lncRNAs, 8 miRNAs, and 64 mRNAs. MetS patients showed elevated body weight, glucose, blood pressure, insulin, liver injury, and inflammatory marker levels. We found that lncRNAs reflect a ceRNA network that may regulate central cellular processes and complications of MetS, including cancer. These findings suggest that MetS alters the interactions among the ceRNA network components in circulating EVs and that this cargo of circulating EVs may have potential translational ramifications for MetS.
AB - Metabolic syndrome (MetS), a collective cluster of disease risk factors that include dyslipidemia, obesity, inflammation, hypertension, and insulin resistance, affects numerous people worldwide. Accumulating studies have shown that long non-coding RNAs (lncRNAs) serve as competing endogenous RNAs (ceRNAs) to play essential roles in regulating gene expression in various diseases. To explore the role of lncRNAs as ceRNAs in MetS, we examined a MetS-associated network in circulating extracellular vesicles (EVs) collected from the systemic blood of MetS and control patients (n = 5 each). In total, 191 differentially expressed lncRNAs, 1,389 mRNAs, and 138 miRNAs were selected for further analysis. Biological processes and pathway functional enrichment analysis were performed based on the Database for Annotation, Visualization, and Integrated Discovery (DAVID). The lncRNA/mRNA/miRNA ceRNA network was constructed by Cytoscape v3.8 based on the DE-RNAs and included 13 lncRNAs, 8 miRNAs, and 64 mRNAs. MetS patients showed elevated body weight, glucose, blood pressure, insulin, liver injury, and inflammatory marker levels. We found that lncRNAs reflect a ceRNA network that may regulate central cellular processes and complications of MetS, including cancer. These findings suggest that MetS alters the interactions among the ceRNA network components in circulating EVs and that this cargo of circulating EVs may have potential translational ramifications for MetS.
KW - circulation
KW - competing endogenous RNA
KW - extracellular vesicles
KW - lncRNAs
KW - metabolic syndrome
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U2 - 10.3389/fmolb.2021.667056
DO - 10.3389/fmolb.2021.667056
M3 - Article
AN - SCOPUS:85114232887
SN - 2296-889X
VL - 8
JO - Frontiers in Molecular Biosciences
JF - Frontiers in Molecular Biosciences
M1 - 667056
ER -