Ferrostatin-1 inhibits ferroptosis of vascular smooth muscle cells and alleviates abdominal aortic aneurysm formation through activating the SLC7A11/GPX4 axis.

Ferroptosis, a type of iron-catalyzed necrosis, is responsible for vascular smooth muscle cell (VSMC) death and serves as a potential therapeutic target for alleviating aortic aneurysm. Here, our study explored the underlying mechanism of ferroptosis affecting VSMC functions and the resultant formation of AAA using its inhibitor Ferrostatin-1 (Fer-1). Microarray-based gene expression profiling was employed to identify differentially expressed genes related to AAA and ferroptosis. An AAA model was established by angiotensin II (Ang II) induction in apolipoprotein E-knockout (ApoE-/- ) mice, followed by injection of Fer-1 and RSL-3 (ferroptosis inducer). Then, the role of Fer-1 and RSL-3 in the ferroptosis of VSMCs and AAA formation was analyzed in Ang II-induced mice. Primary mouse VSMCs were cultured in vitro and treated with Ang II, Fer-1, sh-SLC7A11, or sh-GPX4 to assess the effect of Fer-1 via the SLC7A11/GPX axis. Bioinformatics analysis revealed that GPX4 was involved in the fibrosis formation of AAA, and there was an interaction between SLC7A11 and GPX4. In vitro assays showed that Fer-1 alleviated Ang II-induced ferroptosis of VSMCs and retard the consequent AAA formation. The mechanism was associated with activation of the SLC7A11/GPX4 pathway. Silencing of SLC7A11 or GPX4 could inhibit the ameliorating effect of Fer-1 on the ferroptosis of VSMCs. In vivo animal studies further demonstrated that Fer-1 inhibited Ang II-induced ferroptosis and vessel wall structural abnormalities in AAA mouse through activation of the SLC7A11/GPX4 pathway. Fer-1 may prevent AAA formation through activation of the SLC7A11/GPX4 pathway.

Long non-coding RNA crnde promotes deep vein thrombosis by sequestering miR-181a-5p away from thrombogenic Pcyox1l.

BACKGROUND: Deep vein thrombosis (DVT) is an interplay of genetic and acquired risk factors, where functional interactions in lncRNA-miRNA-mRNA ceRNA networks contribute to disease pathogenesis. Based on the high-throughput transcriptome sequencing prediction, we have assessed the contribution of lncRNA Crnde/miR-181a-5p/Pcyox1l axis to thrombus formation. METHODS: DVT was modeled in mice by inferior vena cava stenosis, and inferior vena cava tissues were harvested for high-throughput transcriptome sequencing to screen differentially expressed lncRNAs and mRNAs. The key miRNA binding to Crnde and Pcyox1l was obtained through searching the RNAInter and mirWalk databases. The binding affinity between Crnde, miR-181a-5p, and Pcyox1l was examined by FISH, dual luciferase reporter gene, RNA pull-down, and RIP assays. Functional experiments were conducted in DVT mouse models to assess thrombus formation and inflammatory injury in inferior vena cava. RESULTS: It was noted that Crnde and Pcyox1l were upregulated in the blood of DVT mice. Crnde competitively bound to miR-181a-5p and inhibited miR-181a-5p expression, and Pcyox1l was the downstream target gene of miR-181a-5p. Silencing of Crnde or restoration of miR-181a-5p reduced inflammatory injury in the inferior vena cava, thus curtailing thrombus formation in mice. Ectopic expression of Pcyox1l counterweighed the inhibitory effect of Crnde silencing. CONCLUSIONS: Therefore, Crnde sequesters miR-181a-5p to release Pcyox1l expression via ceRNA mechanism, thus aggravating thrombus formation in DVT.

Circulating CitH3 Is a Reliable Diagnostic and Prognostic Biomarker of Septic Patients in Acute Pancreatitis.

Purpose: Acute pancreatitis (AP) is an inflammatory disease. AP starts with sterile inflammation and is often complicated with critical local or systemic infection or sepsis in severe cases. Septic AP activates peptidyl arginine deiminase (PAD) and citrullinates histone H3 (CitH3), leading to neutrophil extracellular trap (NET) formation. Investigating the role of NETs and underlying mechanisms in septic AP may facilitate developing diagnostic and therapeutic approaches. In this study, we sought to identify the expression of CitH3 in septic AP patients and to analyze the correlation of CitH3 concentration with NET components as well as clinical outcomes. Methods: Seventy AP patients with or without sepsis (40 septic cases, 30 nonseptic cases) and 30 healthy volunteers were recruited in this study. Concentration of NET components (CitH3 and double-strain DNA) and key enzymes (PAD2/4) were measured. Clinical and laboratory characteristics of patients were recorded and analyzed. Results: Levels of CitH3 were elevated significantly in septic AP patients compared with those in nonseptic AP and healthy volunteers. The area under the curve (AUC, 95% confidence interval) for diagnosing septic AP was 0.93 (0.86-1.003), and the cutoff was 43.05 pg/ml. Among septic AP cases (n = 40), the concentration of CitH3 was significantly increased in those who did not survive or were admitted to the intensive care unit, when compared with that in those who survived or did not require intensive care unit. Association analysis revealed that CitH3 concentration was positively correlated with PAD2, PAD4, dsDNA concentration, and Sequential Organ Failure Assessment scores. Conclusion: CitH3 concentration increased in septic AP patients and was closely correlated with disease severity and clinical outcomes. CitH3 may potentially be a diagnostic and prognostic biomarker of septic AP.