Hydraulic loss experiment of straight-through Tesla valve in forward and reverse directions.

Tesla valves are widely used in the field of fluid control. To study the hydraulic performance of straight-through Tesla valves in forward and reverse flow, 16 straight-through Tesla valves with diverse blade parameters were designed in this paper, and hydraulic loss tests were carried out in forward and reverse flow under different working conditions. The results show that the hydraulic loss increases with the increasing working flow rate in forward and reverse flow; at the identical flow rate, the reverse loss is higher than the forward loss. Both the hydraulic loss through the valve and the unidirectional conductivity of the valve increase with increasing blade length, pitch, and number of blades, but too long of a length results in weakened unidirectional conductivity. The hydraulic loss increases with the increase of blade angle, and the unidirectional conductivity decreases with the increase of blade angle. When the blades are arranged in perfect symmetry, the hydraulic loss through the valve is maximum, and the valve has the best unidirectional conductivity.

Correction: Liu et al. The Discovery of Novel Agents against Staphylococcus aureus by Targeting Sortase A: A Combination of Virtual Screening and Experimental Validation. Pharmaceuticals 2024, 17, 58.

In the original publication [...].

Exploring the Common Gene Signatures Between Myocardial Infarction-Reperfusion Injury and the Gut Microbiome Using Bioinformatics.

BACKGROUND: This bioinformatics report attempts to explore the cross-talk genes, transcription factors (TFs), and pathways related to myocardial ischemia-reperfusion injury (MIRI) as well as the gut microbiome. METHOD: The datasets GSE61592 (three MIRI and three sham samples) and GSE160516 (twelve MIRI and four sham samples) were selected in the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) identification (p < 0.05 and |log FC (fold change)| ≥1) together with functional annotation (p < 0.05) was implemented. The Cytoscape platform established the protein-protein interaction (PPI) network. Genes associated with gut microbiome disorder were extracted based on the DisGeNET database, and those associated with MIRI were overlapped. The Recursive Feature Elimination (RFE) algorithm was adopted for selecting features, and cross-talk genes were predicted by the Support Vector Machine (SVM) models. A network encompassing cross-talk genes along with the TFs was thereby established. RESULT: The MIRI datasets comprised 138 shared DEGs, with 101 showing up-regulation whereas 37 showing down-regulation. Notably, the PPI interwork for MIRI contained 2517 edges along with 1818 nodes. By using RFE and SVM methods, six feature genes with the highest prediction were identified: B2m, VCAM-1, PDIA4, Ptgds, Mlxipl, and ACADS. Among these genes, B2m and PDIA4 were most highly expressed in MIRI and the gut microbiome disorder. CONCLUSION: B2m and PDIA4 were identified to be significantly correlated with candidate cross-talk genes of MIRI with gut microbiome disorder, implying a similarity between MIRI and Gut microbiome disorder (GMD). These genes can serve as an experimental research basis for future studies.

Numerical calculation of forward and reverse flow in Tesla valves with different longitudinal width-to-narrow ratios.

To study the effect of the width-to-narrow ratio on the forward and reverse flow characteristics of the Tesla valve, five different models of the Tesla valve with different width-to-narrow ratios are established in this paper. The numerical calculations of forward and reverse flow under different working conditions are carried out by the CFD method in the laminar flow regime, and the reliability of the numerical calculation method is verified by comparing it with the experimental results. The results show that: in forward flow, the main flow-through channel is not related to the width-to-narrow ratio, the flow rate of the straight channel increases with the increase of the width-to-narrow ratio, and the static pressure in the diversion section is in the shape of "∞"; while in reverse flow, the main flow-through channel is weakly related to the width-to-narrow ratio, the flow rate of the arc channel is not increased with the increase of the width-to-narrow ratio, and the static pressure in the diversion section is in the shape of "bench". As the width-to-narrow ratio decreases, the pressure drop during forward and reverse flow becomes more significant.

The Discovery of Novel Agents against Staphylococcus aureus by Targeting Sortase A: A Combination of Virtual Screening and Experimental Validation.

Staphylococcus aureus (S. aureus), commonly known as "superbugs", is a highly pathogenic bacterium that poses a serious threat to human health. There is an urgent need to replace traditional antibiotics with novel drugs to combat S. aureus. Sortase A (SrtA) is a crucial transpeptidase involved in the adhesion process of S. aureus. The reduction in virulence and prevention of S. aureus infections have made it a significant target for antimicrobial drugs. In this study, we combined virtual screening with experimental validation to identify potential drug candidates from a drug library. Three hits, referred to as Naldemedine, Telmisartan, and Azilsartan, were identified based on docking binding energy and the ratio of occupied functional sites of SrtA. The stability analysis manifests that Naldemedine and Telmisartan have a higher binding affinity to the hydrophobic pockets. Specifically, Telmisartan forms stable hydrogen bonds with SrtA, resulting in the highest binding energy. Our experiments prove that the efficiency of adhesion and invasion by S. aureus can be decreased without significantly affecting bacterial growth. Our work identifies Telmisartan as the most promising candidate for inhibiting SrtA, which can help combat S. aureus infection.