Computer-aided design and construction of a novel electro-responsive ion-imprinted sensor for the individual/simultaneous detection of Cd(II) and Pb(II) in water environments.

A novel method for detecting Cd(II) and Pb(II) in water using composite ion-imprinted membranes (Cd@Pb-IIM/Ag@MOF@CHI) was developed. Pre-polymerization ratios were optimized via computer simulations and applied on Ag@MOF@CHI-modified electrodes using infrared light initiation. Characterization of the membranes through SEM and electrochemical methods revealed detailed morphology and composition.

Computer-aided design and preparation of surface arsenite molecularly imprinted polymers for selective adsorption and highly sensitive detection of As(Ⅲ).

Arsenite is a hazardous substance in water due to its high toxicity and carcinogenic nature, necessitating effective analysis and remediation methods. This study introduces surface arsenite molecularly imprinted polymers (As(Ⅲ)-MIP@MOF) and an advanced sensing platform using arsenite (H₃AsO₃) as the template. By utilizing computational simulations to optimize the functional monomer MAA and the pre-polymerization ratio, we achieved efficient arsenite removal with high adsorption capacity (328.

The efficacy and safety of Bazi Bushen Capsule in treating premature aging: A randomized, double blind, multicenter, placebo-controlled clinical trial.

Purpose: It is unclear whether traditional Chinese patent medicines can resist premature aging. This prospective study investigated the effects of Bazi Bushen Capsule (BZBS) which is a traditional Chinese patent medicine for tonifying the kidney essence on premature senility symptoms and quality of life, telomerase activity and telomere length.

Study Design And Methods: It was a parallel, multicenter, double-blind, randomized, and placebo-controlled trial.

Analysis of Mechanical Properties of Fiber-Reinforced Soil Cement Based on Kaolin.

Adding fibers into cement to form fiber-reinforced soil cement material can effectively enhance its physical and mechanical properties. In order to investigate the effect of fiber type and dosage on the strength of fiber-reinforced soil cement, polypropylene fibers (PPFs), polyvinyl alcohol fibers (PVAFs), and glass fibers (GFs) were blended according to the mass fraction of the mixture of cement and dry soil (0.5%, 1%, 1.

Portable fluorescent lateral flow assay for ultrasensitive point-of-care analysis of acute myocardial infarction related microRNA.

Point-of-care quantitative analysis of tracing microRNA disease-biomarkers remains a great challenge in the clinical diagnosis. In this paper, we developed a portable fluorescent lateral flow assay for ultrasensitive quantified detection of acute myocardial infarction related microRNAs in bio-samples. SiO@DQD (bilayer quantum dots assembly with SiO core) based fluorescent lateral flow strip was fabricated as the analysis tool.

Biopolymer films incorporated with chlorogenic acid nanoparticles for active food packaging application.

Food packaging is innovating towards more environmental-friendly polymers and broader applications of bioactive compounds. In this study, active packaging materials were successfully prepared by incorporating chlorogenic acid (CGA) nanoparticles into pullulan/gelatin polymer matrixes. The rhamnolipid (RL) and/or CGA were combined with chitosan (CS) to synthesize active nanoparticles by the ionic crosslinking method.

Integrated network pharmacology and molecular docking analyses of the mechanisms underlying the antihypertensive effects of lotusine.

Hypertension is a modifiable cardiovascular risk factor and cause of death worldwide. Lotusine, an alkaloid extracted from a plant used in traditional Chinese Medicine, has shown anti-hypertensive effects. However, its therapeutic efficacy requires further investigation.

Magnetic SERS Strip Based on 4-mercaptophenylboronic Acid-Modified FeO@Au for Active Capture and Simultaneous Detection of Respiratory Bacteria.

The rapid diagnosis and detection of respiratory bacteria at the early stage can effectively control the epidemic spread and bacterial infection. Here, we designed a rapid, ultrasensitive, and quantitative lateral flow immunoassay (LFA) strip for simultaneous detection of respiratory bacteria and . In this assay, the surface enhanced Raman scattering (SERS) tags were designed through combining magnetite Raman enhancement nanoparticle FeO@Au/DTNB and recognition element 4-mercaptophenylboronic acid (4-MPBA).

Effects of Tai Chi on health status in adults with chronic heart failure: A systematic review and meta-analysis.

Background: Chronic heart failure (CHF) is among the top causes of cardiovascular morbidity, and most patients with CHF have poor health status. Tai Chi, a mind-body exercise that originated in China, is beneficial for health status. This study was conducted to evaluate the effects of Tai Chi on health status in adults with CHF.

Shunxin decoction improves diastolic function in rats with heart failure with preserved ejection fraction induced by abdominal aorta constriction through cyclic guanosine monophosphate-dependent protein kinase Signaling Pathway.

Objective: To determine whether Shunxin decoction improves diastolic function in rats with heart failure with preserved ejection fraction (HFpEF) by regulating the cyclic guanosine monophosphate-dependent protein kinase (cGMP-PKG) signaling pathway.

Methods: Except for control group 8 and sham surgery group 8, the remaining 32 male Sprague-Dawlay rats were developed into HFpEF rat models using the abdominal aorta constriction method. These rats in the HFpEF model were randomly divided into the model group, the Shunxin high-dose group, the Shunxin low-dose group, and the Qiliqiangxin capsule group.

A Randomized Controlled Trial on the Efficacy of Xinnaoning Capsule in the Treatment of CSAP Complicated With Qi Stagnation and Blood Stasis Syndrome.

Objective: This study was designed to explore the efficacy and safety of Xinnaoning Capsule (XNNC) in the treatment of patients with chronic stable angina pectoris (CSAP) complicated with Qi stagnation and blood stasis syndrome.

Methods: A total of 240 patients with CSAP complicated with Qi stagnation and blood stasis syndrome who met the inclusion criteria were enrolled from 8 medical centers across China. The trial treatment lasted 14 weeks, including a 2-week lead-in period and a 12-week double-blind treatment period.

Acarbose for Postprandial Hypotension With Glucose Metabolism Disorders: A Systematic Review and Meta-Analysis.

Postprandial hypotension (PPH) is an independent predictive factor of all-cause mortality in older people. Drug management has not achieved a satisfactory effect yet. In recent years, many studies have found that acarbose may be effective in the treatment of PPH with glucose metabolism disorders.

Acupoint injection treatment for non-dialysis dependent chronic kidney disease: A meta-analysis of randomized controlled trials.

Aim: To analyze the effects of acupoint injection in the treatment of non-dialysis dependent chronic kidney disease through a systematic review with meta-analysis.

Methods: This systematic review with meta-analysis was conducted following the recommendations of the declaration of PRISMA. Full-text literature of randomized controlled trial of acupoint injection therapy for non-dialysis chronic kidney disease was searched in PubMed, Embase, Cochrane Library, China National Knowledge Internet, the Chinese Scientific Journal Database, the Wanfang Database, China Biology Medicine database.

Exploratory study on the safety and effectiveness of Yizhi Qingxin Decoction (capsules) in the treatment of hypertension in the elderly with mild cognitive impairment (deficiency of kidney essence syndrome).

Background: Hypertension in the elderly with cognitive impairment has been one of the global health issues. Mild cognitive impairment (MCI) is the state of transition between the normal aging process and cognitive changes of unformed dementia. Diagnosis and treatment of MCI are the keys to prevent dementia, and hypertension is one of the important influencing factors of MCI.

The protective effects of angelica organic acid against ox-LDL-induced autophagy dysfunction of HUVECs.

Background: Angelica root is the dry root of the Umbelliferae plant Angelica sinensis (oliv) Diels. Angelica organic acid (OA) is the main active ingredient in Angelica sinensis, and it exerts potential anti-atherosclerotic effects by preventing Oxidized low-density lipoprotein (Ox-LDL) induced endothelial injury. To study the protective effects of OA on ox-LDL-induced HUVECs autophagic flux dysfunction and inflammatory injury.

Anti-aging role of Chinese herbel medicine: an overview of scientific evidence from 2008 to 2018.

The aging of the population has become a global health problem. It is an important risk factor for major diseases such as cardiovascular disease, Alzheimer's disease, Parkinson's disease, and cancer. Presently, there is no definite and effective anti-aging treatment.

Oxymatrine exerts organ- and tissue-protective effects by regulating inflammation, oxidative stress, apoptosis, and fibrosis: From bench to bedside.

Oxymatrine is a quinazine alkaloid extracted from Sophora flavescens with various therapeutic effects such as organ- and tissue-protective, anti-inflammatory, anti-cancer, and anti-viral effects. In this review, we summarize the protective effects of oxymatrine on damaged organs and tissues by analyzing both in vivo and in vitro studies. The mechanisms of protective effects of oxymatrine are mainly related to its anti-inflammatory, anti-oxidative stress, anti- or pro-apoptotic, anti-fibrotic, metabolism-regulation, and anti-nociceptive functions.

Investigation of Crystal Structures in Structure-Based Virtual Screening for Protein Kinase Inhibitors.

Protein kinases are important drug targets in several therapeutic areas ,and structure-based virtual screening (SBVS) is an important strategy in discovering lead compounds for kinase targets. However, there are multiple crystal structures available for each target, and determining which one is the most favorable is a key step in molecular docking for SBVS due to the ligand induce-fit effect. This work aimed to find the most desirable crystal structures for molecular docking by a comprehensive analysis of the protein kinase database which covers 190 different kinases from all eight main kinase families.

Investigation of Machine Intelligence in Compound Cell Activity Classification.

Machine intelligence has been greatly developed in the past decades and has been widely used in many fields. In the recent years, many reports have shown its satisfactory effect in drug discovery. In this study, machine intelligence methods were explored to assist the cell activity prediction.

Triterpenes from Poria cocos are revealed as potential retinoid X receptor selective agonists based on cell and in silico evidence.

Poria cocos is an edible and medicinal fungus that is widely used in Traditional Chinese Medicines as well as in modern applications. Retinoid X receptor (RXR) occupies a central place in nuclear receptor signaling, and a pharmacological RXR-dependent pathway is involved in myeloid cell function. Here, structural information for 82 triterpenes from P.

In Silico Prediction of Human Intravenous Pharmacokinetic Parameters with Improved Accuracy.

Human pharmacokinetics is of great significance in the selection of drug candidates, and in silico estimation of pharmacokinetic parameters in the early stage of drug development has become the trend of drug research owing to its time- and cost-saving advantages. Herein, quantitative structure-property relationship studies were carried out to predict four human pharmacokinetic parameters including volume of distribution at steady state (VD), clearance (CL), terminal half-life (), and fraction unbound in plasma (), using a data set consisting of 1352 drugs. A series of regression models were built using the most suitable features selected by Boruta algorithm and four machine learning methods including support vector machine (SVM), random forest (RF), gradient boosting machine (GBM), and XGBoost (XGB).

Prediction of hERG K+ channel blockage using deep neural networks.

Human ether-a-go-go-related gene (hERG) K+ channel blockage may cause severe cardiac side-effects and has become a serious issue in safety evaluation of drug candidates. Therefore, improving the ability to avoid undesirable hERG activity in the early stage of drug discovery is of significant importance. The purpose of this study was to build predictive models of hERG activity by deep neural networks.

Efficacy and safety of Xinnaoning capsule in treating chronic stable angina (qi stagnation and blood stasis syndrome): Study protocol for a multicenter, randomized, double-blind, placebo-controlled trial.

Background: Chronic stable angina (CSA) is a cardiovascular disease with high prevalence. At present, drug treatment is still the main measure of stable angina pectoris. Traditional Chinese medicine has a long history in the treatment of CSA.

A combined drug discovery strategy based on machine learning and molecular docking.

Data mining methods based on machine learning play an increasingly important role in drug design and discovery. In the current work, eight machine learning methods including decision trees, k-Nearest neighbor, support vector machines, random forests, extremely randomized trees, AdaBoost, gradient boosting trees, and XGBoost were evaluated comprehensively through a case study of ACC inhibitor data sets. Internal and external data sets were employed for cross-validation of the eight machine learning methods.