Long-chain noncoding RNA-GAS5/hsa-miR-138-5p attenuates high glucose-induced cardiomyocyte damage by targeting CYP11B2

Zhuo, Xianlu; Bai, Kai; Wang, Yingxian; Liu, Peining; Xi, Wen; She, Jianqing; Liu, Junhui

doi:10.1042/bsr20202232

Cited by 10 publications

(10 citation statements)

References 44 publications

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“…Previous studies have showed that NLRX1 is an anti-apoptotic protein ( 67 , 68 ). The lncRNA hypoxia-inducible factor 1 alpha-antisense RNA 1 (HIF1A-AS1) binds to miR-138, which acts as a bridge in various ceRNA networks to promote apoptosis ( 69 , 70 ), and represses its expression, thereby modulating the nuclear factor kappa B (NF-κB) pathway. Reduction of the expression of lncRNA HIF1A-AS1 by siRNA was found to attenuate CVB3-induced oxidative stress and apoptosis in cardiomyocytes, and alleviate CVB3-induced myocardial inflammation ( 71 ).…”

Section: Resultsmentioning

confidence: 99%

The role of non-coding RNAs in myocarditis: a narrative review

Liu¹,

Hu²,

Lü³

et al. 2022

Ann Transl Med

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Background and Objective: Myocarditis is a heterogeneous disease that can lead to acute heart failure, dilated cardiomyopathy (DCM), and sudden death. However, the knowledge of the precise molecular mechanisms of myocarditis is fairly limited. In recent years, non-coding RNAs (ncRNAs) have been demonstrated to be involved in many physiological and pathological processes in myocarditis and to have the potential to be used as novel diagnostic and therapeutic strategies for myocarditis. This review summarizes the role of ncRNAs in myocarditis and discusses their potential as noninvasive biomarkers and therapeutic targets for myocarditis.Methods: Literature on ncRNAs and myocarditis published in PubMed was extensively reviewed for analysis and discussion.

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Section: Resultsmentioning

confidence: 99%

The role of non-coding RNAs in myocarditis: a narrative review

Liu¹,

Hu²,

Lü³

et al. 2022

Ann Transl Med

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“…Hsa-mir-125a-5p [253], hsa-mir-539-5p [254] and RUNX1T1 [255] were linked with progression of obesity, but these genes might be novel target for HF. Hsa-mir-138-5p [256] and STAT1 [257] were involved in the progression of HF. Hsa-mir-200c-5p [258] and STAT5B [259] were associated with development of diabetics, but these genes might be novel target for HF.…”

Section: Discussionmentioning

confidence: 99%

Identification of biomarkers, pathways and potential therapeutic targets for heart failure using bioinformatics analysis

Vastrad¹,

Vastrad²

2021

Preprint

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Heart failure (HF) is a complex cardiovascular diseases associated with high mortality. To discover key molecular changes in HF, we analyzed next-generation sequencing (NGS) data of HF. In this investigation, differentially expressed genes (DEGs) were analyzed using limma in R package from GSE161472 of the Gene Expression Omnibus (GEO). Then, gene enrichment analysis, protein-protein interaction (PPI) network, miRNA-hub gene regulatory network and TF-hub gene regulatory network construction, and topological analysis were performed on the DEGs by the Gene Ontology (GO), REACTOME pathway, STRING, HiPPIE, miRNet, NetworkAnalyst and Cytoscape. Finally, we performed receiver operating characteristic curve (ROC) analysis of hub genes. A total of 930 DEGs 9464 up regulated genes and 466 down regulated genes) were identified in HF. GO and REACTOME pathway enrichment results showed that DEGs mainly enriched in localization, small molecule metabolic process, SARS-CoV infections and the citric acid (TCA) cycle and respiratory electron transport. Subsequently, the PPI network, miRNA-hub gene regulatory network and TF-hub gene regulatory network were constructed, and 10 hub genes in these network were focused on by centrality analysis and module analysis. Furthermore, data showed that HSP90AA1, ARRB2, MYH9, HSP90AB1, FLNA, EGFR, PIK3R1, CUL4A, YEATS4 and KAT2B were good diagnostic values. In summary, this study suggests that HSP90AA1, ARRB2, MYH9, HSP90AB1, FLNA, EGFR, PIK3R1, CUL4A, YEATS4 and KAT2B may act as the key genes in HF.

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“…Hsa-mir-125a-5p, 254 hsa-mir-539-5p 255 , and RUNX1 T1 256 have been proposed as biomarkers for obesity. Aberrant expression of hsa-mir-138-5p 257 and STAT1 258 is associated with HF. Previous studies have shown that Hsa-mir-200c-5p 259 and STAT5B 260 may influence the prognosis in diabetes mellitus.…”

Section: Discussionmentioning

confidence: 99%

Identification of biomarkers, pathways, and potential therapeutic targets for heart failure using next-generation sequencing data and bioinformatics analysis

Ganekal¹,

Vastrad²,

Vastrad³

et al. 2023

Therapeutic Advances in Cardiovascular Disease

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Background: Heart failure (HF) is the most common cardiovascular diseases and the leading cause of cardiovascular diseases related deaths. Increasing molecular targets have been discovered for HF prognosis and therapy. However, there is still an urgent need to identify novel biomarkers. Therefore, we evaluated biomarkers that might aid the diagnosis and treatment of HF. Methods: We searched next-generation sequencing (NGS) dataset (GSE161472) and identified differentially expressed genes (DEGs) by comparing 47 HF samples and 37 normal control samples using limma in R package. Gene ontology (GO) and pathway enrichment analyses of the DEGs were performed using the g: Profiler database. The protein–protein interaction (PPI) network was plotted with Human Integrated Protein–Protein Interaction rEference (HiPPIE) and visualized using Cytoscape. Module analysis of the PPI network was done using PEWCC1. Then, miRNA-hub gene regulatory network and TF-hub gene regulatory network were constructed by Cytoscape software. Finally, we performed receiver operating characteristic (ROC) curve analysis to predict the diagnostic effectiveness of the hub genes. Results: A total of 930 DEGs, 464 upregulated genes and 466 downregulated genes, were identified in HF. GO and REACTOME pathway enrichment results showed that DEGs mainly enriched in localization, small molecule metabolic process, SARS-CoV infections, and the citric acid tricarboxylic acid (TCA) cycle and respiratory electron transport. After combining the results of the PPI network miRNA-hub gene regulatory network and TF-hub gene regulatory network, 10 hub genes were selected, including heat shock protein 90 alpha family class A member 1 (HSP90AA1), arrestin beta 2 (ARRB2), myosin heavy chain 9 (MYH9), heat shock protein 90 alpha family class B member 1 (HSP90AB1), filamin A (FLNA), epidermal growth factor receptor (EGFR), phosphoinositide-3-kinase regulatory subunit 1 (PIK3R1), cullin 4A (CUL4A), YEATS domain containing 4 (YEATS4), and lysine acetyltransferase 2B (KAT2B). Conclusions: This discovery-driven study might be useful to provide a novel insight into the diagnosis and treatment of HF. However, more experiments are needed in the future to investigate the functional roles of these genes in HF.

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Long-chain noncoding RNA-GAS5/hsa-miR-138-5p attenuates high glucose-induced cardiomyocyte damage by targeting CYP11B2

Cited by 10 publications

References 44 publications

The role of non-coding RNAs in myocarditis: a narrative review

The role of non-coding RNAs in myocarditis: a narrative review

Identification of biomarkers, pathways and potential therapeutic targets for heart failure using bioinformatics analysis

Identification of biomarkers, pathways, and potential therapeutic targets for heart failure using next-generation sequencing data and bioinformatics analysis

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