Zhongfeng Xingnao prescription alleviates injury of intracerebral hemorrhage via regulating the CaMKII/NF-κB p65/NLRP3/GSDMD signaling axis.

Background And Aim: The NLRP3 inflammasome can be activated after intracerebral hemorrhage (ICH), triggering an inflammatory response in the brain. Chinese herbal medicine Zhongfeng Xingnao Prescription (ZFXN) is commonly used in China for intracerebral hemorrhage treatment. However, the underlying treatment mechanism of it is unclear.

SFAs facilitates ceramide's de novo synthesis via TLR4 and intensifies hepatocyte lipotoxicity.

Background: Non-alcoholic steatohepatitis (NASH), an advanced manifestation of non-alcoholic fatty liver disease (NAFLD), is characterized by hepatocyte injury, inflammation, and fibrosis. Saturated fatty acids (SFAs) have emerged as key contributors to hepatocyte lipotoxicity and disease progression. Toll-like receptor 4 (TLR4) acts as a sentinel for diverse ligands, including lipopolysaccharide (LPS) and endogenous molecules like palmitic acid (PA)-induced ceramide (CER) accumulation, promoting hepatocyte demise.

[Zhongfeng Xingnao Decoction alleviates intracerebral haemorrhage-induced brain injury via inhibiting neuronal ferroptosis].

Zhongfeng Xingnao Decoction(ZFXN) has been utilized for treating intracerebral hemorrhage(ICH) in China, while the pharmacological mechanism of ZFXN remains unclear. Exploring the pharmacological roles of ZFXN is critical for guiding the treatment of cerebrovascular diseases. In this study, a rat model of ICH was constructed by injection of Ⅶ collagenase in the right caudate nucleus.

Enhancing the Structural Stability and Electrochemical Performance of High-Nickel Cathode Materials through Ti Doping with an Exothermic Non-oxide Precursor.

The foreseeable global cobalt (Co) crisis has driven the demand for cathode materials with less Co dependence, where high-nickel layered oxides are a promising solution due to their high energy density and low cost. However, these materials suffer from poor cycling stability and rapid voltage decay due to lattice displacement and nanostrain accumulation. Here, we introduced an exothermic TiN dopant via a scalable coating method to stabilize LiNiCoMnO (NCM92) materials.

Yinhuapinggan granule ameliorates lung injury caused by multidrug-resistant inhibiting NF-κB/NLRP3 pathway.

Yinhuapinggan granule (YHPG) is a traditional Chinese medicine prescription with rich clinical experience for the treatment of colds and coughs. The aim of this study is to investigate the protective effect of YHPG on multidrug-resistant (MDR) () infection and its potential anti-inflammatory mechanism. BALB/c mice were intranasally inoculated with MDR strain to establish the pneumonia infection model, and received intraperitoneally cyclophosphamide to form immunosuppression before attack.

Soft Actor-Critic-Driven Adaptive Focusing under Obstacles.

Electromagnetic (EM) waves that bypass obstacles to achieve focus at arbitrary positions are of immense significance to communication and radar technologies. Small-sized and low-cost metasurfaces enable the accomplishment of this function. However, the magnitude-phase characteristics are challenging to analyze when there are obstacles between the metasurface and the EM wave.

Corrigendum: Clinical efficacy protocol of yinhuapinggan granules: A randomized, double-blind, parallel, and controlled clinical trial program for the intervention of community-acquired drug-resistant bacterial pneumonia as a complementary therapy.

[This corrects the article DOI: 10.3389/fphar.2022.

Clinical Efficacy Protocol of Yinhuapinggan Granules: A Randomized, Double-Blind, Parallel, and Controlled Clinical Trial Program for the Intervention of Community-Acquired Drug-Resistant Bacterial Pneumonia as a Complementary Therapy.

Community-acquired bacterial pneumonia (CABP) is an important health care concern in the worldwide, and is associated with significant morbidity, mortality, and health care expenditure. is the most frequent causative pathogen of CABP. Common treatment for hospitalized patients with CABP is empiric antibiotic therapy using β-lactams in combination with macrolides, respiratory fluoroquinolones, or tetracyclines.

The combination of danhong injection plus tissue plasminogen activator ameliorates mouse tail thrombosis-induced by κ-carrageenan.

Background: After thrombosis, t-PA thrombolysis is the first choice, but the use of t-PA can easily lead to hemorrhagic injury and neurotoxicity. The combination of Danhong injection (DHI) and tissue plasminogen activator (t-PA) therapy may be a new strategy to find high-efficiency anti-thrombosis and low bleeding risk. However, nothing is about the effect of DHI plus t-PA on platelet activation.

Screening of Antiviral Components of Yinhuapinggan Granule and Protective Effects of Yinhuapinggan Granule on MDCK Cells with Influenza A/H1N1 Virus.

Background: Traditional Chinese medicine Yinhuapinggan granule (YHPG) has been used for treating upper respiratory tract infection like influenza, cough, and viral pneumonia. However, its active ingredients that really exert the main efficacy have not been well elucidated. This study is aimed at screening its antiviral components and investigating the potential therapeutic mechanisms of YHPG against the influenza A/PR8/34 (H1N1) virus in Madin Darby canine kidney (MDCK).

NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods.

Neuropeptides acting as signaling molecules in the nervous system of various animals play crucial roles in a wide range of physiological functions and hormone regulation behaviors. Neuropeptides offer many opportunities for the discovery of new drugs and targets for the treatment of neurological diseases. In recent years, there have been several data-driven computational predictors of various types of bioactive peptides, but the relevant work about neuropeptides is little at present.

T4SE-XGB: Interpretable Sequence-Based Prediction of Type IV Secreted Effectors Using eXtreme Gradient Boosting Algorithm.

Type IV secreted effectors (T4SEs) can be translocated into the cytosol of host cells via type IV secretion system (T4SS) and cause diseases. However, experimental approaches to identify T4SEs are time- and resource-consuming, and the existing computational tools based on machine learning techniques have some obvious limitations such as the lack of interpretability in the prediction models. In this study, we proposed a new model, T4SE-XGB, which uses the eXtreme gradient boosting (XGBoost) algorithm for accurate identification of type IV effectors based on optimal features based on protein sequences.

DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method.

Identifying drug-target interactions (DTIs) is an important step for drug discovery and drug repositioning. To reduce the experimental cost, a large number of computational approaches have been proposed for this task. The machine learning-based models, especially binary classification models, have been developed to predict whether a drug-target pair interacts or not.

Design of a reconfigurable broadband greyscale multiplexed metasurface hologram.

Holograms are a promising state-of-the-art technique that are able to reproduce fully three-dimensional images. However, most elementary holograms only recover a nonadjustable image restricted by a certain amplitude and phase. Recently, the concept of the reconfigurable metasurface has come into sight.

Metasurface-based focus-tunable mirror.

Varifocal mirrors, which have various applications in optical coherent tomography and three-dimensional displays, are traditionally based on the fluid pressure or mechanical pusher to deform the mirror. The limitations of conventional varifocal mirrors are obvious, such as the heavy size of the device and constraints of tunability, due to their mechanical pressure control elements. The reprogrammable metasurface, a new flat photonic device with multifunction in an ultrathin dimension, paves the way towards an ultrathin and lightweight mirror with precise phase profile.

Direct current remote cloak for arbitrary objects.

Hiding an arbitrary object with a cloak at a distance from an object is of great significance in scientific research, but remains unrealized as a practical device. In this paper, we propose the first experimental realization of a remote cloaking device that makes any object located at a certain distance invisible at direct current (DC) frequency. A negative resistor network with active elements is used to achieve the remote function of the DC cloak.

Polymer-inorganic solid-electrolyte interphase for stable lithium metal batteries under lean electrolyte conditions.

The solid-electrolyte interphase (SEI) is pivotal in stabilizing lithium metal anodes for rechargeable batteries. However, the SEI is constantly reforming and consuming electrolyte with cycling. The rational design of a stable SEI is plagued by the failure to control its structure and stability.