LncRNA: An Important Regulator of Atherosclerosis

Ma, Yun; He, Siqi; Xie, Qiao; Tang, Zhihan; Jiang, Zhisheng

doi:10.2174/0929867330666230111125141

Cited by 5 publications

(5 citation statements)

References 90 publications

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“…lncRNAs coordinate and integrate a variety of signaling pathways and play important roles in development, differentiation and disease ( Navarro et al, 2020 ). lncRNAs affect the expression levels of genes closely related to endothelial dysfunction, smooth muscle cell proliferation, macrophage dysfunction, abnormal lipid metabolism and cellular autophagy in atherosclerotic plaques, and thus are involved in regulating the onset and progression of atherogenesis ( Ma et al, 2023 ). For example, the long non-coding RNA HOXC-AS1 inhibits oxidized low-density lipoprotein (ox-LDL)-induced cholesterol accumulation by promoting the expression of HOXC6 in THP-1 macrophages ( Huang et al, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

Identification of pivotal genes and regulatory networks associated with atherosclerotic carotid artery stenosis based on comprehensive bioinformatics analysis and machine learning

Qin,

Ding,

et al. 2024

Front. Pharmacol.

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Objective:Bioinformatics methods were applied to investigate the pivotal genes and regulatory networks associated with atherosclerotic carotid artery stenosis (ACAS) and provide new insights for the treatment of this disease.Methods:The study utilized five ACAS datasets (GSE100927, GSE11782, GESE28829, GSE41571, and GSE43292) downloaded from the NCBI GEO database. The first four datasets were combined as the training set (n = 99), while GSE43292 (n = 64) was used as the validation set. Difference analysis and functional enrichment analysis were then performed on the training set. The pathogenic targets of ACAS were screened by protein-protein interaction networks and MCODE analyses, combined with three machine learning algorithms. The results were next verified by analysis of inter-group differences and ROC curve analysis. Next, immune-related function and immune cell correlation analyses were performed, and plaques of human ACAS were applied to verify the results via immunohistochemistry (IH) and immunofluorescence (IF). Finally, the competing endogenous RNAs (ceRNA) and transcription factors (TFs) regulatory networks of the characterized genes were constructed.Results:A total of 177 differentially expressed genes were identified, including 67 genes downregulated and 110 genes upregulated. Gene set enrichment analysis revealed that five pathways were active in the experimental group, including xenograft rejection, autoimmune thyroid disease, graft-versus-host disease, leishmaniasis infection, and lysosomes. Four key genes were identified, with C3AR1 being upregulated and FBLN5, PPP1R12A, and TPM1 being downregulated. The analysis of inter-group differences demonstrated that the four characterized genes were differentially expressed in both the control and experimental groups. The ROC analysis showed that they had high AUC values in both the training and validation sets. Therefore, a predictive ACAS patient nomogram model based on the screened genes was established. Correlation analysis revealed a positive correlation between C3AR1 expression and neutrophils, which was further validated in IH and IF. One or multiple lncRNAs may compete with the characterized genes for binding miRNAs. Additionally, each characterized gene interacts with multiple TFs.Conclusion:Four pivotal genes were screened, and relevant ceRNA and TFs were predicted. These molecules may exert a crucial role in ACAS and serve as potential biomarkers and therapeutic targets.

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Section: Discussionmentioning

confidence: 99%

Identification of pivotal genes and regulatory networks associated with atherosclerotic carotid artery stenosis based on comprehensive bioinformatics analysis and machine learning

Qin,

Ding,

et al. 2024

Front. Pharmacol.

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“…The ever-evolving high-throughput RNA sequencing technologies have allowed researchers to identify dysregulated lncRNAs in HF, both in animal models and in humans [ 29 , 30 ]. All of these findings propose that lncRNAs play an explicative role in the pathogenesis of, and may pose as a potential therapeutic target, for this life-threatening condition [ 31 , 32 ]. One of the remarkable aspects of the lncRNA–HF connection is the diversity of regulatory mechanisms involved [ 22 , 33 ]; for example, the lncRNA H19 has been shown to promote myocardial fibrosis by influencing the deposition of extracellular matrix components in the heart.…”

Section: Exploring the Connection Between Lncrna And Heart Failurementioning

confidence: 99%

Long Non-Coding RNAs (lncRNAs) in Heart Failure: A Comprehensive Review

Jha,

Thasma Loganathbabu,

Kumaran

et al. 2023

ncRNA

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Heart failure (HF) is a widespread cardiovascular condition that poses significant risks to a wide spectrum of age groups and leads to terminal illness. Although our understanding of the underlying mechanisms of HF has improved, the available treatments still remain inadequate. Recently, long non-coding RNAs (lncRNAs) have emerged as crucial players in cardiac function, showing possibilities as potential targets for HF therapy. These versatile molecules interact with chromatin, proteins, RNA, and DNA, influencing gene regulation. Notable lncRNAs like Fendrr, Trpm3, and Scarb2 have demonstrated therapeutic potential in HF cases. Additionally, utilizing lncRNAs to forecast survival rates in HF patients and distinguish various cardiac remodeling conditions holds great promise, offering significant benefits in managing cardiovascular disease and addressing its far-reaching societal and economic impacts. This underscores the pivotal role of lncRNAs in the context of HF research and treatment.

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“…Survivin is an apoptosis inhibitor gene with strong effect found at present. The gene is located on chromosome 17q25, and the expressed product consists of 142 amino acid residues with a relative molecular weight of 16.5 KD [4] containing 4 exons and 3 introns. At present, 8 members of the human IAP family have been discovered, including NAIP (BIRC1), c-IAP1 (BIRC2), cIAP2 (BIRC3), XIAP (BIRC4), Survivin (BIRC5), Apollon (BIRC6), and Livin (BIRC7) [5].…”

Section: Survivin Composition Structure Distribution and Localizationmentioning

confidence: 99%

“…At the beginning of mitosis, Survivin specifically binds to the spindle tubulin, which interferes with the normal progress of mitosis. Kobayashi et al found that Survivin is expressed in all tissues with cell proliferation, and Survivin is regularly and widely expressed in embryonic tissues, participating in cell growth and differentiation [4]. The expression of Survivin in normal tissues significantly increases during the G2/M phase, thereby protecting the normal progression of mitosis.…”

Section: Participate In Cell Division and Proliferationmentioning

confidence: 99%

Research Progress on Apoptosis Inhibitory Protein Survivin and Its Application in Digestive Tract Tumors

Shuli,

Jianzhang,

Hongyan

et al. 2023

AJHR

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The occurrence and development of tumor are closely related to the imbalance of apoptosis and proliferation regulation. Survivin is a newly discovered member of the apoptosis inhibitory protein (IAP) family with a unique structure. It is widely expressed in embryonic and developmental fetal tissues, with low or no expression in normal terminal differentiated adult tissues, while it is highly expressed in the vast majority of malignant tumor tissues. With the rapid development of molecular biology technology, a significant breakthrough has been made in the molecular mechanism of cell apoptosis. With the discovery that Survivin is involved in regulating two basic processes in cell life, namely inhibiting apoptosis and promoting cell proliferation, and playing a role in cell division and angiogenesis. The high expression of Survivin in malignant tumors indicates its important role in tumor production, apoptosis, and proliferation. The alimentary canal is one of the most common sites of human malignant tumors. In recent years, the incidence rate of alimentary canal tumors has been increasing year by year. Because of the early symptoms being not typical, it is easy to miss diagnosis, and most of them have entered the middle and late stages when diagnosed, which is easy to recur and metastasize, with a high fatality rate and serious harm to human health. Therefore, finding ideal tumor biomarkers for early diagnosis and monitoring prognosis is of great value. This article reviews the research progress of apoptosis inhibitor protein Survivin and its application in esophageal cancer, liver cancer and pancreatic cancer.

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LncRNA: An Important Regulator of Atherosclerosis

Cited by 5 publications

References 90 publications

Identification of pivotal genes and regulatory networks associated with atherosclerotic carotid artery stenosis based on comprehensive bioinformatics analysis and machine learning

Identification of pivotal genes and regulatory networks associated with atherosclerotic carotid artery stenosis based on comprehensive bioinformatics analysis and machine learning

Long Non-Coding RNAs (lncRNAs) in Heart Failure: A Comprehensive Review

Research Progress on Apoptosis Inhibitory Protein Survivin and Its Application in Digestive Tract Tumors

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