Regulatory long non-coding RNAs of hepatic stellate cells in liver fibrosis (Review)

Competing endogenous RNAs network and therapeutic implications: New horizons in disease research

Different diseases may arise from the dysregulation of non-coding RNAs (ncRNAs), which regulation is necessary for maintaining cellular homeostasis. ncRNAs are regulated by transcriptional, post-transcriptional, translational and post-translational processes. Post-transcriptional regulation of gene expression is carried out by microRNAs (miRNAs), a class of small ncRNA molecules, which can identify their target sites by a brief nucleotide sequence, known as the miRNA response element (MRE), present on the miRNA seed sequence and the target transcript. This binding between miRNAs and targets can regulate the gene expression through inhibition of translation or degradation of target messenger RNA (mRNA). The transcripts that share MREs can be involved in competition for the central miRNA pool, which could have an indirect impact on each other's regulation. This competition network is called competing endogenous RNAs network (ceRNET). Many ncRNAs, including circular RNA, pseudogene, and long non-coding RNA, as well as mRNA, a coding RNA transcript, make up ceRNET. These components play a crucial role in post-transcriptional regulation and are involved in the diagnosis and treatment of many pathological disorders. The mechanism of ceRNET and its essential components, as well as their therapeutic implications in different diseases such as cancer, diabetes mellitus, neurological, cardiovascular, hepatic and respiratory disorders were covered in this review.

Naringenin alleviates liver fibrosis by triggering autophagy-dependent ferroptosis in hepatic stellate cells

Inhibition of activated hepatic stellate cells (HSCs) is a promising approach for treating liver fibrosis, and the ferroptosis has emerged as a pivotal mechanism to achieve this inhibition. The effects of naringenin, a flavonoid with anti-inflammatory properties, have not been thoroughly examined in liver fibrosis. Therefore, we used cholestasis model to study the effect of naringenin on liver fibrosis. Our findings demonstrated a significant exacerbation of liver tissue damage and fibrosis in mice subjected to bile duct ligation (BDL), accompanied by a substantial upregulation of fibrogenesis-related gene expression. Notably, naringenin administration markedly alleviated liver injury and fibrosis in these mice. Furthermore, naringenin exhibited inhibitory effects on the activation of HSCs, concurrently inducing ferroptosis. Importantly, naringenin significantly increased autophagic activity in HSCs. This effect was counteracted by co-administration of the autophagy inhibitor 3-MA, leading to a notable reduction in naringenin-induced HSC ferroptosis. In BDL model mice, naringenin demonstrated a mitigating effect on liver fibrosis, suggesting a potential correlation with naringenin-induced ferroptosis of HSCs. These results provide novel insights into the molecular mechanisms of naringenin-induced ferroptosis and highlight autophagy-dependent ferroptosis as a promising therapeutic strategy for liver fibrosis.

Expression of PVT-1 and miR-29a/29b as reliable biomarkers for liver cirrhosis and their correlation with the inflammatory biomarkers profile

BACKGROUND & AIMS

The liver is a vital organ responsible for numerous metabolic processes, which can be significantly impacted by long non-coding RNAs (lncRNAs) and microRNAs (miRNAs). These ribonucleic acid (RNA) molecules have been shown to play a crucial role in regulating gene expression, and their dysregulation has been implicated in numerous liver disorders. Our study aimed to investigate the diagnostic accuracy of plasmacytoma variant translocation-1 (PVT-1), microRNA-29a/29b (miR-29a/miR-29b), and inflammatory biomarkers [ interleukine-6 (IL-6), tumor necrosis factor-alpha (TNF-α), transforming growth factor-beta (TGF-β), and insulin growth factor-1 (IGF-1)] as diagnostic and prognostic biomarkers for liver cirrhosis. Therefore, understanding the mechanisms by which lncRNAs and miRNAs influence liver metabolism is of paramount importance in developing effective treatments for liver-related diseases.

METHODS

Serum samples were collected from 164 participants, comprising 114 cirrhotic patients with varying grades (35 grade I, 35 grade II, and 44 grade III) and 50 healthy controls. PVT-1 and miR-29a/miR-29b expression was analyzed by reverse transcription-quantitative polymerase chain reaction (RT-PCR), while the serum levels of inflammatory biomarkers were assessed using enzyme-linked immunosorbent assay (ELISA).

RESULTS

The study participants exhibited notable differences in PVT-1 and miR-29a/miR-29b expression. ROC analysis revealed excellent discriminative power for PVT-1 and miR-29a/miR-29b in distinguishing cirrhotic patients from healthy controls.

CONCLUSION

This study demonstrates the promising potential of PVT-1 and miR-29a/miR-29b as early diagnostic biomarkers for liver cirrhosis detection, requiring further validation in larger cohorts. Our findings also reinforce the diagnostic value of circulating inflammatory biomarkers (IL-6, TNF-α, TGF-β, and IGF-1) levels for liver cirrhosis screening.

TUG1 protects against ferroptosis of hepatic stellate cells by upregulating PDK4-mediated glycolysis

The induction of ferroptosis in hepatic stellate cells (HSCs) has shown promise in reversing liver fibrosis. And ferroptosis has been confirmed to be associated with glycolysis. The objective of this study is to determine whether ferroptosis inhibition in HSCs, induced by elevation of recombinant pyruvate dehydrogenase kinase isozyme 4 (PDK4)-mediated glycolysis, could mediate the pathogenesis of liver fibrosis. Liver fibrosis was induced using CCl4, the level of which was assessed through histochemical staining. Lentivirus was used to modulate the expression of specific genes. And underlying mechanisms were explored using primary HSCs extracted from normal mice. The results confirmed that Taurine up-regulated gene 1 (TUG1) expression was upregulated in liver fibrotic tissues and HSCs, showing a positive correlation with fibrosis. In addition, TUG1 attenuated ferroptosis in HSCs by promoting PDK4-mediated glycolysis, thereby promoting the progression of liver fibrosis. Moreover, TUG1 was observed to impact HSCs activation, exacerbating liver fibrosis to some extent. In conclusion, our study revealed that TUG1 expression was elevated in mouse models of liver fibrosis and activated HSCs, which inhibited ferroptosis in HSCs through PDK4-mediated glycolysis. This finding may open up a new therapeutic strategy for liver fibrosis.

Screening and identification of potential biomarkers for pancreatic cancer: An integrated bioinformatics analysis

Pancreatic cancer is one of the highly invasive and the seventh most common cause of death among cancers worldwide. To identify essential genes and the involved mechanisms in pancreatic cancer, we used bioinformatics analysis to identify potential biomarkers for pancreatic cancer management. Gene expression profiles of pancreatic cancer patients and normal tissues were screened and downloaded from The Cancer Genome Atlas (TCGA) bioinformatics database. The Differentially expressed genes (DEGs) were identified among gene expression signatures of normal and pancreatic cancer, using R software. Then, enrichment analysis of the DEGs, including Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, was performed by an interactive and collaborative HTML5 gene list enrichment analysis tool (enrichr) and ToppGene. The protein-protein interaction (PPI) network was also constructed using the Search Tool for the Retrieval of Interacting Genes (STRING) database and ToppGenet web based tool followed by identifying hub genes of the top 100 DEGs in pancreatic cancer using Cytoscape software. Over 2000 DEGs with variable log2 fold (LFC) were identified among 34,706 genes. Principal component analysis showed that the top 20 DEGs, including H1-4, H1-5, H4C3, H4C2, RN7SL2, RN7SL3, RN7SL4P, RN7SKP80, SCARNA12, SCARNA10, SCARNA5, SCARNA7, SCARNA6, SCARNA21, SCARNA9, SCARNA13, SNORA73B, SNORA53, SNORA54 might distinguish pancreatic cancer from normal tissue. GO analysis showed that the top DEGs have more enriched in the negative regulation of gene silencing, negative regulation of chromatin organization, negative regulation of chromatin silencing, nucleosome positioning, regulation of chromatin silencing, and nucleosomal DNA binding. KEGG analysis identified an association between pancreatic cancer and systemic lupus erythematosus, alcoholism, neutrophil extracellular trap formation, and viral carcinogenesis. In PPI network analysis, we found that the different types of histone-encoding genes are involved as hub genes in the carcinogenesis of pancreatic cancer. In conclusion, our bioinformatics analysis identified genes that were significantly related to the prognosis of pancreatic cancer patients. These genes and pathways could serve as new potential prognostic markers and be used to develop treatments for pancreatic cancer patients.

Noncoding RNAs Interactions in Hepatic Stellate Cells during Hepatic Fibrosis

Hepatic fibrosis is a reversible wound healing process following liver injury. Although this process is necessary for maintaining liver integrity, severe excessive extracellular matrix accumulation (ECM) could lead to permanent scar formation and destroy the liver structure. The activation of hepatic stellate cells (HSCs) is a key event in hepatic fibrosis. Previous studies show that most antifibrotic therapies focus on the apoptosis of HSCs and the prevention of HSC activation. Noncoding RNAs (ncRNAs) play a substantial role in HSC activation and are likely to be biomarkers or therapeutic targets for the treatment of hepatic fibrosis. This review summarizes and discusses the previously reported ncRNAs, including the microRNAs, long noncoding RNAs, and circular RNAs, highlighting their regulatory roles and interactions in the signaling pathways that regulate HSC activation in hepatic fibrosis.

Identification of plasma lncRNA-ATB levels in hepatitis B virus-related cirrhosis and non-cirrhotic chronic hepatitis B patients

Long non-coding RNA-ATB (LncRNA-ATB) which is activated by transforming growth factor-β (TGF-β), is a key regulator of TGF-β signaling pathway. TGF-β plays an important role in various pathogenic processes, from inflammation and fibrosis to cirrhosis and cancer. In this study, we evaluated the plasma levels of lncRNA-ATB in patients with hepatitis B virus (HBV)-related cirrhosis and non-cirrhotic patients with chronic hepatitis B (CHB) and investigated the clinical values. Plasma samples were collected from 44 HBV-related cirrhosis patients, 45 non-cirrhotic CHB and 75 healthy controls. Briefly, after total RNA extraction and cDNA synthesis, quantitative real-time PCR (qPCR) was performed to detect plasma lncRNA-ATB levels. Results show the plasma levels of lncRNA-ATB in HBV-related cirrhosis patients were significantly higher in comparison to healthy controls (Fold change=2.60, p value=0.04). Also, we determined plasma levels of lncRNA-ATB as a specific biomarker of HBV-related cirrhosis (AUC=0.65, p value=0.03, Sensitivity 61.36%; Specificity 70.00%). In addition to, we investigated the plasma levels of lncRNA-ATB in non-cirrhotic CHB patients were significantly lower than healthy controls (Fold change= 0.33, p value=0.01). We also indicated plasma lncRNA-ATB levels were as a sensitive biomarker for diagnosis of non-cirrhotic CHB patients compared with healthy (AUC=0.66, p value=0.00, Sensitivity 71.11%; Specificity 57.78%). According to our results, circulating lncRNA-ATB has good specificity for diagnosing hepatitis B virus (HBV)-related cirrhosis and good sensitivity for diagnosis of non-cirrhotic chronic hepatitis B (CHB) patients.