The effects and mechanism of LncRNA NORAD on doxorubicin-induced cardiotoxicity.

In recent years, the role and mechanism of long non-coding RNA (LncRNA) in cardiovascular diseases have received increasing attention. The chemotherapy agent, doxorubicin (DOX), is one of the most effective drugs for various cancers, but its efficacy is limited by its cardiotoxicity. Therefore, further exploration is required for the molecular mechanism of DOX-induced cardiotoxicity. This study intended to investigate the role of LncRNA Non-coding RNA activated by DNA damage (NORAD) in DOX-induced cardiotoxicity, for which we adopted the AC16 human cardiomyocyte cell line for the exploration. The results showed that LncRNA NORAD knockdown could increase DOX-induced cardiomyocyte apoptosis and mitochondrial ROS level. LncRNA NORAD overexpression obtained reverse results, which further validated its role in DOX-induced cardiomyocyte apoptosis and mitochondrial ROS level. Moreover, cardiotoxicity was induced in both LncRNA NORAD-knockout and wild-type mice with DOX, showing that gene knockout aggravated pathologic lesions in the myocardial tissues of mice. Taken together, LncRNA NORAD affected DOX-induced cardiotoxicity via mitochondrial apoptosis, fission (PUM-MFF), and autophagy (p53-Parkin) pathways both in vivo and in vitro.

Cuproptosis-related gene identification and immune infiltration analysis in systemic lupus erythematosus.

Background: Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by loss of tolerance to self-antigen, autoantibody production, and abnormal immune response. Cuproptosis is a recently reported cell death form correlated with the initiation and development of multiple diseases. This study intended to probe cuproptosis-related molecular clusters in SLE and constructed a predictive model. Methods: We analyzed the expression profile and immune features of cuproptosis-related genes (CRGs) in SLE based on GSE61635 and GSE50772 datasets and identified core module genes associated with SLE occurrence using the weighted correlation network analysis (WGCNA). We selected the optimal machine-learning model by comparing the random forest (RF) model, support vector machine (SVM) model, generalized linear model (GLM), and the extreme gradient boosting (XGB) model. The predictive performance of the model was validated by nomogram, calibration curve, decision curve analysis (DCA), and external dataset GSE72326. Subsequently, a CeRNA network based on 5 core diagnostic markers was established. Drugs targeting core diagnostic markers were acquired using the CTD database, and Autodock vina software was employed to perform molecular docking. Results: Blue module genes identified using WGCNA were highly related to SLE initiation. Among the four machine-learning models, the SVM model presented the best discriminative performance with relatively low residual and root-mean-square error (RMSE) and high area under the curve (AUC = 0.998). An SVM model was constructed based on 5 genes and performed favorably in the GSE72326 dataset for validation (AUC = 0.943). The nomogram, calibration curve, and DCA validated the predictive accuracy of the model for SLE as well. The CeRNA regulatory network includes 166 nodes (5 core diagnostic markers, 61 miRNAs, and 100 lncRNAs) and 175 lines. Drug detection showed that D00156 (Benzo (a) pyrene), D016604 (Aflatoxin B1), D014212 (Tretinoin), and D009532 (Nickel) could simultaneously act on the 5 core diagnostic markers. Conclusion: We revealed the correlation between CRGs and immune cell infiltration in SLE patients. The SVM model using 5 genes was selected as the optimal machine learning model to accurately evaluate SLE patients. A CeRNA network based on 5 core diagnostic markers was constructed. Drugs targeting core diagnostic markers were retrieved with molecular docking performed.

The mechanism of rh-endostatin-induced cardiotoxicity and its protection by dihydromyricetin[in vivo/in vitro, C57BL/6 mice, AC16 and hiPSC-CMs].

Recombinant human endostatin (rh-endostatin) is an anti-angiogenic drug, which is used for the treatment of advanced non-small-cell lung cancer (NSCLC) and other cancers. However, its side effects, especially the cardiotoxicity with unclear mechanisms limit its wide application in clinical practice. In this study, human cardiomyocyte cell line AC16 and human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) treated with different doses of rh-endostatin were used to analyze its effect on cardiac cell toxicity. The results revealed that rh-endostatin dose-dependently enhanced cardiomyocyte apoptosis through Apaf-1 apoptotic factor and apoptosis-related proteins such as p53. rh-endostatin-induced changes of mitochondrial function and mitophagy were involved in rh-endostatin-mediated cardiac cell toxicity. Rh-endostatin-induced cardiotoxicity was further verified in vivo in mice. Interestingly, Rh-endostatin-induced cardiotoxicity was inhibited by dihydromyricetin (DHM) both in cultured cells in vitro and in mouse hearts in vivo. The study provides new inside into rh-endostatin-induced cardiotoxicity and identified a novel potential medication DHM to overcome the serious adverse effect.

LncRNAs in blood cells: Roles in cell development and potential pathogenesis in hematological malignancies.

Long non-coding RNA (LncRNA) is a class of non-coding RNA comprising more than 200 nucleotides. Several studies report that LncRNAs are widely involved in biological processes such as DNA methylation, histone modification, and chromatin remodeling. LncRNA interacts with DNA, RNA, and protein molecules thus regulating expression of target genes. LncRNAs are associated with occurrence and development of tumors, nervous systems, metabolic diseases, reproductive development, and cardiovascular diseases. Therefore, LncRNAs are implicated in progression of several diseases. Studies report that LncRNA plays a crucial role in regulation of gene expression during proliferation and differentiation stages of red blood cell development. LncRNA promotes development of hematopoietic stem cells and plays an important role in myeloid and lymphatic function. In this paper, studies on regulatory mechanism of LncRNA in blood cells and pathogenesis in hematological malignancies were reviewed.