Xian-feng Cen

Doxorubicin (DOX)-mediated cardiotoxicity can exacerbate mortality in oncology patients, but related pharmacotherapeutic measures are relatively limited. Ferroptosis was recently identified as a major mechanism of DOX-induced cardiotoxicity. Idebenone, a novel ferroptosis inhibitor, is a well-described clinical drug widely used. However, its role and pathological mechanism in DOX-induced cardiotoxicity are still unclear. In this study, we demonstrated the effects of idebenone on DOX-induced cardiotoxicity and elucidated its underlying mechanism. A single intraperitoneal injection of DOX (15 mg/kg) was administrated to establish DOX-induced cardiotoxicity. The results showed that idebenone significantly attenuated DOX-induced cardiac dysfunction due to its ability to regulate acute DOX-induced Fe2+ and ROS overload, which resulted in ferroptosis. CESTA and BLI further revealed that idebenone’s anti-ferroptosis effect was mediated by FSP1. Interestingly, idebenone increased FSP1 protein levels but did not affect Fsp1 mRNA levels in the presence of DOX. Idebenone could form stable hydrogen bonds with FSP1 protein at K355, which may influence its association with ubiquitin. The results confirmed that idebenone stabilized FSP1 protein levels by inhibiting its ubiquitination degradation. In conclusion, this study demonstrates idebenone attenuated DOX-induced cardiotoxicity by inhibiting ferroptosis via regulation of FSP1, making it a potential clinical drug for patients receiving DOX treatment.

BACKGROUND AND PURPOSE: Limonin, a naturally occurring tetracyclic triterpenoid, has extensive pharmacological effects. Its role in cardiac hypertrophy remains to be elucidated. We investigated its effects on cardiac hypertrophy along with the potential mechanisms involved. EXPERIMENTAL APPROACH: The effects of limonin on cardiac hypertrophy in C57/BL6 mice caused by aortic banding, plus neonatal rat cardiac myocytes (NRCMs) stimulated with phenylephrine to induce cardiomyocyte hypertrophy in vitro were investigated. KEY RESULTS: Limonin markedly improved the cardiac function and heart weight in aortic banded mice. Limonin-treated mice and NRCMs also produced fewer cardiac hypertrophy markers than those treated with the vehicle in the hypertrophic groups. Sustained aortic banding- or phenylephrine-stimulation impaired cardiac sirtuin 6 (SIRT6) protein levels, which were partially reversed by limonin associated with enhanced activity of PPARα. Sirt6 siRNA inhibited the anti-hypertrophic effects of limonin in vitro. Interestingly, limonin did not influence Sirt6 mRNA levels, but regulated ubiquitin levels. Thus, the protein biosynthesis inhibitor, cycloheximide and proteasome inhibitor, MG-132, were used to determine SIRT6 protein expression levels. Under phenylephrine stimulation, limonin increased SIRT6 protein levels in the presence of cycloheximide, but it did not influence SIRT6 expression in the presence of MG-132, suggesting that limonin promotes SIRT6 levels by inhibiting its ubiquitination degradation. Furthermore, limonin inhibited the degradation of SIRT6 by activating ubiquitin-specific peptidase 10 (USP10), while Usp10 siRNA prevented the beneficial effects of limonin. CONCLUSION AND IMPLICATIONS: Limonin mediates the ubiquitination and degradation of SIRT6 by activating USP10, providing an attractive therapeutic target for cardiac hypertrophy.

An important pathophysiological consequence of pressure overload‐induced cardiac hypertrophy is adverse cardiac remodeling, including structural changes in cardiomyocytes and extracellular matrix. Diosmetin (DIO), a monomethoxyflavone isolated from citrus fruits, had antioxidative stress effects in multiple organs. The purpose of this study was to examine the biological effect of diosmetin on pathological cardiac hypertrophy. In mice, diosmetin treatment reduced cardiac hypertrophy and dysfunction in an aortic banding‐ (AB‐) induced pressure overload model and reducing myocardial oxidative stress by increasing antioxidant gene expression. In vitro, diosmetin (10 or 50 μ m, 12 h or 24 h) protected PE‐induced cardiomyocyte hypertrophy in neonatal rat cardiomyocytes. Mechanistically, diosmetin inhibited autophagy by activating the PI3K/Akt pathway. In particular, diosmetin induced the accumulation of p62 and its interaction with Keap1, promoted the nuclear translocation of Nrf2, and increased the expression of antioxidant stress genes in the process of cardiac hypertrophy. Furthermore, knockdown of p62 in rat primary cardiomyocytes abrogate the protective effect of diosmetin on cardiomyocyte hypertrophy. Similarly, the Nrf2 inhibitor ML385 obviously abolished the above effects by diosmetin treatment. In conclusion, our results suggest that diosmetin protects cardiac hypertrophy under pressure overload through the p62/Keap1/Nrf2 signaling pathway, suggesting the potential of diosmetin as a novel therapy for pathological cardiac hypertrophy.

Background: Dilated cardiomyopathy (DCM) is characterized by enlarged ventricular dimensions and systolic dysfunction and poor prognosis. Myocardial lipid metabolism appears abnormal in DCM. However, the mechanism of lipid metabolism disorders in DCM remains unclear. Methods: A gene set variation analysis (GSVA) were performed to estimate pathway activity related to DCM progression. Three datasets and clinical data downloaded from the Gene Expression Omnibus (GEO), including dilated cardiomyopathy and donor hearts, were integrated to obtain gene expression profiles and identify differentially expressed genes related to lipid metabolism. GO enrichment analyses of differentially expressed lipid metabolism-related genes (DELs) were performed. The clinical information used in this study were obtained from GSE21610 dataset. Data from the EGAS00001003263 were used for external validation and our hospital samples were also tested the expression levels of these genes through RT-PCR. Subsequently, logistic regression model with the LASSO method for DCM prediction was established basing on the 7 DELs. Results: GSVA analysis showed that the fatty acid metabolism was closely related to DCM progression. The integrated dataset identified 19 DELs, including 8 up-regulated and 11 down-regulated genes. A total of 7 DELs were identified by further external validation of the data from the EGAS00001003263 and verified by RT-PCR. By using the LASSO model, 6 genes, including CYP2J2, FGF1, ETNPPL, PLIN2, LPCAT3, and DGKG, were identified to construct a logistic regression model. The area under curve (AUC) values over 0.8 suggested the good performance of the model. Conclusion: Integrated bioinformatic analysis of gene expression in DCM and the effective logistic regression model construct in our study may contribute to the early diagnosis and prevention of DCM in people with high risk of the disease.