Inhibition of semaphorin-3a alleviates lipopolysaccharide-induced vascular injury.

Alleviating vascular injury improves the prognosis of atherosclerosis. Semaphorin-3a (Sema3A) is a special membrane-associated secreted protein with various biological properties, like pro-inflammation, anti-tumor and et al. This study aims to investigate the effects of inhibition of Sema3A on lipopolysaccharide (LPS)-induced vascular injury in mice. The mice were randomized into three groups: control, LPS, and LPS + siRNA. Mice in the combined group were given siRNA through fast tail vein injection, then LPS was injected intraperitoneally 7 days later, finally the mice were euthanized 24 h later. Vascular function and structure were assessed by vascular injury biomarkers and relevant stainings. LPS-induced vascular dysfunction and pathological injury were substantially improved by inhibition of Sema3A. Western blot and quantitative real-time polymerase chain reaction assays were used for investigating molecular pathways. The relevant proteins of vascular endothelial cells activation, intercellular adhesion molecule-1 (ICAM-1) and vascular cell adhesion molecule-1 (VCAM-1), increased after LPS stimulation, while these effects were reversed by inhibition of Sema3A. The levels of inflammatory cytokines (IL-1ß, IL-6 and NLRP3) were upregulated after LPS stimulation, however, inhibition of Sema3A reversed it through NF-κB and MAPKs signaling pathways involvement. Moreover, inhibition of Sema3A alleviated LPS-induced oxidative stress, evidenced by a decrease in total reactive oxygen species and an increase in antioxidant protein of SOD-1. The results showed that inhibition of Sema3A protects against LPS-induced vascular injury by suppressing vascular endothelial cells activation, vascular inflammation, and vascular oxidative stress, implying that inhibition of Sema3A might be used as a therapeutic strategy for septic vascular injury or atherosclerosis.

Lycorine ameliorates isoproterenol-induced cardiac dysfunction mainly via inhibiting inflammation, fibrosis, oxidative stress and apoptosis.

Alleviating cardiac dysfunction improves the prognosis of heart failure patients. Lycorine is an alkaloid with several beneficial biological properties. Here, we used mice to evaluate the effect of lycorine on cardiac dysfunction elicited by isoproterenol. Mice were divided into four groups: control, lycorine, isoproterenol, and isoproterenol + lycorine. Mice in the combined group were treated daily with 10 mg/kg isoproterenol intraperitoneally for 2 weeks and 5 mg/kg lycorine was given simultaneously intraperitoneally for 4 weeks. Cardiac structure and function were assessed by echocardiography, hematoxylin and eosin staining, and Masson's trichrome staining. Isoproterenol-induced cardiac dysfunction and histopathological injury that was significantly improved by treatment with lycorine. Western blotting and the quantitative real-time polymerase chain reaction were used to explore the molecular mechanisms of these effects. Levels of the inflammatory cytokines, interleukin (IL)-1ß, IL-6, and tumor necrosis factor-α, were increased by treatment with isoproterenol; these increases were significantly reduced by lycorine, with involvement of the NF-κB signaling pathway. The fibrotic factors, collagen I and collagen III, were increased by isoproterenol and decreased by treatment with lycorine through inhibiting activation of the Smad signaling pathway. In addition, lycorine alleviated oxidative stress as evidenced by a reduction in total reactive oxygen species in the isoproterenol + lycorine group compared to the isoproterenol group. Lycorine exerted an anti-apoptotic effect as evidenced by upregulating Bcl-2 and downregulating Bax. Overall, our findings demonstrate that lycorine protects against cardiac dysfunction induced by isoproterenol by inhibiting inflammation, fibrosis, oxidative stress, and apoptosis.

Development and validation of a deep learning model to screen hypokalemia from electrocardiogram in emergency patients.

BACKGROUND: A deep learning model (DLM) that enables non-invasive hypokalemia screening from an electrocardiogram (ECG) may improve the detection of this life-threatening condition. This study aimed to develop and evaluate the performance of a DLM for the detection of hypokalemia from the ECGs of emergency patients. METHODS: We used a total of 9908 ECG data from emergency patients who were admitted at the Second Affiliated Hospital of Nanchang University, Jiangxi, China, from September 2017 to October 2020. The DLM was trained using 12 ECG leads (lead I, II, III, aVR, aVL, aVF, and V1-6) to detect patients with serum potassium concentrations <3.5 mmol/L and was validated using retrospective data from the Jiangling branch of the Second Affiliated Hospital of Nanchang University. The blood draw was completed within 10 min before and after the ECG examination, and there was no new or ongoing infusion during this period. RESULTS: We used 6904 ECGs and 1726 ECGs as development and internal validation data sets, respectively. In addition, 1278 ECGs from the Jiangling branch of the Second Affiliated Hospital of Nanchang University were used as external validation data sets. Using 12 ECG leads (leads I, II, III, aVR, aVL, aVF, and V1-6), the area under the receiver operating characteristic curve (AUC) of the DLM was 0.80 (95% confidence interval [CI]: 0.77-0.82) for the internal validation data set. Using an optimal operating point yielded a sensitivity of 71.4% and a specificity of 77.1%. Using the same 12 ECG leads, the external validation data set resulted in an AUC for the DLM of 0.77 (95% CI: 0.75-0.79). Using an optimal operating point yielded a sensitivity of 70.0% and a specificity of 69.1%. CONCLUSIONS: In this study, using 12 ECG leads, a DLM detected hypokalemia in emergency patients with an AUC of 0.77 to 0.80. Artificial intelligence could be used to analyze an ECG to quickly screen for hypokalemia.