lncRNA FGD5 antisense RNA 1 upregulates RORA to suppress hypoxic injury of human cardiomyocyte cells by inhibiting oxidative stress and apoptosis via miR‑195

Cai, Xinyong; Zhang, Ping; Shu, Wang; Liu, Hong; Yu, Songping; Li, Bin; Zeng, Hong; Xu, Yang; Shao, Liang

doi:10.3892/mmr.2020.11558

Cited by 15 publications

(5 citation statements)

References 58 publications

(55 reference statements)

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“…The RORA gene was reported to be upregulated in patients with AMI (just like the results of qRT-PCR), which might suppress hypoxic injury of cardiomyocyte cells in AMI by inhibiting oxidative stress and apoptosis. 69,70 Meanwhile, the diagnostic significance of FASLG was detected in AMI, 10 which was consistent with our findings, indicating that these biomarker genes were still worthy of study in AMI.…”

Section: Discussionsupporting

confidence: 87%

Identification of Immuno-Inflammation-Related Biomarkers for Acute Myocardial Infarction Based on Bioinformatics

You,

Dong

2023

JIR

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Previous studies have confirmed that inflammation and immunity are involved in the pathogenesis of acute myocardial infarction (AMI). However, only few related genes are identified as biomarkers for the diagnosis and treatment of AMI. Patients and Methods: GSE48060 and GSE60993 datasets were retrieved from Gene Expression Omnibus. The differentially expressed immuno-inflammation-related genes (DEIIRGs) were obtained from GSE48060, and the biomarkers for AMI were screened and validated using the "Neuralnet" package and GSE60993 dataset. Further, the biomarker-based nomogram was constructed, and miRNAs, transcription factors (TFs), and potential drugs targeting the biomarkers were explored. Furthermore, immune infiltration analysis was analyzed in AMI. Finally, the biomarkers were verified by assessing their mRNA levels using real-time quantitative PCR (RT-qPCR). Results: First, eight biomarkers were screened via bioinformatics, and the artificial neural network model indicated a higher prediction accuracy for AMI even in the validation dataset. Nomogram had accurate forecasting ability for AMI as well. The TFs GTF2I, PHOX2B, RUNX1, and FOS targeting hsa-miR-1297 could regulate the expressions of ADM and CBLB, and RORA could effectively interact with melatonin and citalopram. RT-qPCR results for ADM, PI3, MMP9, NRG1 and CBLB were consistent with those of bioinformatic analysis. Conclusion:In conclusion, eight key immuno-inflammation-related genes, namely, SH2D1B, ADM, PI3, MMP9, NRG1, CBLB, RORA, and FASLG, may serve as the potential biomarkers for AMI, in which the downregulation of CBLB and upregulation of ADM, PI3, and NRG1 in AMI was detected for the first time, providing a new strategy for the diagnosis and treatment of AMI.

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Section: Discussionsupporting

confidence: 87%

Identification of Immuno-Inflammation-Related Biomarkers for Acute Myocardial Infarction Based on Bioinformatics

You,

Dong

2023

JIR

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“…FGD5-AS1 was also reported to increase the viability of C20/A4 cells but prevent apoptosis, thereupon then retard osteoarthritis development [31]. Combined with the report that FGD5-AS1 modulated hypoxic injury in human cardiomyocytes partially via the miR-195/RORA axis [29], it can be inferred that FGD5-AS1 accelerate growth and block apoptosis of AC16 cells by moderating the miR-195/RORA axis. For aortic vascular smooth muscle cells, FGD5-AS1 showed an inhibitory effect on cell growth and a promoting effect Therefore, FGD5-AS1 exhibits a protective role in high glucose-induced injury.…”

Section: Discussionmentioning

confidence: 86%

“…FGD5-AS1 is an antisense RNA of FGD5, which belongs to the Rho guanine nucleotide exchange factor (Rho GEF) family complicating in various cellular processes [ 28 ]. FGD5-AS1 has been discovered to attenuate hypoxia-induced oxidative stress and apoptosis in human cardiomyocytes [ 29 ]. FGD5-AS1 has also exhibited an effect of extenuating oxygen–glucose deprivation and simulated reperfusion damage by increasing neuron proliferation but reducing neuron apoptosis [ 30 ].…”

Section: Discussionmentioning

confidence: 99%

Diagnostic significance of serum FGD5-AS1 and its predictive value for the development of cardiovascular diseases in patients with type 2 diabetes

Wang

2022

Diabetol Metab Syndr

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Background As a result of the continuous rise in the incidence of type 2 diabetes mellitus (T2DM), related cardiovascular diseases (CVDs) have been a main healthy burden worldwide. This study aimed to investigate the potential role of FGD5-AS1 as a biomarker for the diagnosis of T2DM and predicting cardiovascular complications in T2DM. Methods Three hundred subjects were recruited in this study, including 100 T2DM patients without CVDs, 100 T2DM patients with CVDs as well as 100 healthy subjects. Plasma FGD5-AS1 level was quantified using RT-qPCR assay. The correlation of FGD5-AS1 level with other key variables was assessed using Pearson correlation analysis. ROC curve analysis was performed to evaluate the diagnostic value of FGD5-AS1 for T2DM and related CVDs. The effect of FGD5-AS1 on AC16 and HA-VSMCs was determined. Results FGD5-AS1 level showed a stepwise decrease in individuals with T2DM and CVDs compared to healthy persons. FGD5-AS1 was associated with BMI, systolic blood pressure, diastolic blood pressure, fasting glucose, 2-h postprandial blood glucose, HbA1c, triglycerides, usCRP, and HDL-cholesterol. The ROC analysis indicated FGD5-AS1 had a significant overall predictive ability to diagnose T2DM, T2DM with CVDs, and the combination of both. FGD5-AS1 increases the growth but alleviates apoptosis and fibrosis of high glucose-induced AC16 cells. FGD5-AS1 attenuate the growth and calcification but induced apoptosis of high glucose-treated HA-VSMC cells. Conclusions These results suggest that FGD5-AS1 are associated with T2DM and measuring FGD5-AS1 could potentially contribute to T2DM screening and prediction for risk of cardiovascular complication.

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“…Guo et al found that OIP5-AS1 regulated ovarian cancer progression via modulating miR-137/ZNF217 signaling [ 49 ]. Similarly, Cai et al indicated that lncRNA FGD5-AS1 inhibited oxidative stress and apoptosis by upregulating RORA via miR-195 to inhibit hypoxia injury in human cardiomyocytes [ 50 ]. Additionally, functional annotation determined that 75 target mRNA were mainly enriched in cancer-related biological processes, including mitotic cell cycle, p53 signaling pathway, DNA damage checkpoint, and pentose phosphate pathway [ 51 – 54 ].…”

Section: Discussionmentioning

confidence: 99%

M6A-related lncRNAs predict clinical outcome and regulate the tumor immune microenvironment in hepatocellular carcinoma

et al. 2022

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LncRNA N6-methylandenosine (m6A) modification has been shown to be associated with the constitution of the tumor microenvironment (TME) and tumorigenesis. It’s essential to understand the mechanisms of lncRNA m6A modification in hepatocellular carcinoma (HCC) and identify relative prognostic predictors to guide therapy and explore potential therapeutic targets. Pearson correlation analysis was performed to identify m6A-related lncRNAs in 374 patients with HCC. Unsupervised cluster analysis of the potential m6A-related lncRNA-based HCC subtypes was conducted, followed by the concurrent analysis of their relationship with TME characteristics, immune checkpoints, immune features, and prognosis through single sample gene set enrichment analysis and ESTIMATE algorithm. Cox regression analyses were performed to screen prognostic m6A-related lncRNA, construct an m6A-related lncRNA signature (m6A-RLRS), and establish an integrated nomogram for the prognosis of patients with HCC. We identified 61 m6A-related lncRNAs and two HCC subtypes defined by consensus cluster of m6A-related lncRNAs with distinct clinical features. Progression-free survival (PFS), three TME-related scores, 15 immune-associated gene sets, and two immune checkpoints expression were found to be significantly different among the two subtypes. Twenty-five prognostic m6A-related lncRNAs were determined, four of which were included to establish an m6A-RLRS with favorable discrimination, and the signature was validated in the validation set and an independent FAHWMU cohort (n = 60). Furthermore, a novel nomogram combining signature and clinical predictors was generated with a C-index of 0.703, and an original ceRNA regulatory network consisting of 9 lncRNAs, 28 miRNAs, and 75 target mRNAs was constructed. Finally, the differential expression of four m6A-related lncRNA was verified by qRT-PCR. In conclusion, m6A-related lncRNA prognostic signature and molecular subtype contributes to accurately predict the prognosis of HCC and provide potential novel therapeutic targets.

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lncRNA FGD5 antisense RNA 1 upregulates RORA to suppress hypoxic injury of human cardiomyocyte cells by inhibiting oxidative stress and apoptosis via miR‑195

Cited by 15 publications

References 58 publications

Identification of Immuno-Inflammation-Related Biomarkers for Acute Myocardial Infarction Based on Bioinformatics

Identification of Immuno-Inflammation-Related Biomarkers for Acute Myocardial Infarction Based on Bioinformatics

Diagnostic significance of serum FGD5-AS1 and its predictive value for the development of cardiovascular diseases in patients with type 2 diabetes

M6A-related lncRNAs predict clinical outcome and regulate the tumor immune microenvironment in hepatocellular carcinoma

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