Influenza virus causes serious threat to human life and health. Due to the inherent high variability of influenza virus, clinically resistant mutant strains of currently approved anti-influenza virus drugs have emerged. Therefore, it is urgent to develop antiviral drugs with new targets or mechanisms of action. RNA-dependent RNA polymerase is directly responsible for viral RNA transcription and replication, and plays key roles in the viral life cycle, which is considered an important target of anti-influenza drug design. From the point of view of medicinal chemistry, this review summarizes current advances in diverse small-molecule inhibitors targeting influenza virus RNA-dependent RNA polymerase, hoping to provide valuable reference for development of novel antiviral drugs.

The FDA approved a total of 37 new drugs in 2022, including 22 new molecular entities and 15 new biological products. This is the year with the lowest number of new drugs approved by the FDA since 2017. Among these approved drugs, 21 new drugs belong to the "first-in-class" category, accounting for 56% of the total approved drugs, which is the highest ratio in the past 10 years. Among the drugs approved in 2022, there are 5 small molecule kinase modulators, including the tyrosine kinase 2 (TYK2) allosteric inhibitor deucravacitinib, the first oral pyruvate kinase (PK) activator mitapivat, the Janus kinase 1 (JAK1) selective inhibitor abcrocitinib, the JAK2 selective inhibitor pacritinib and the broad-spectrum fibroblast growth factor receptor (FGFR) inhibitor futibatinib. This review briefly describes the discovery background, research and development process, synthesis routes and clinical efficacy and safety of small molecule kinase modulators approved by the FDA in 2022, hoping to provide ideas and methods for further research on kinase modulators.

Most chemical medicines have polymorphs. The difference of medicine polymorphs in physicochemical properties directly affects the stability, efficacy, and safety of solid medicine products. Polymorphs is incomparably important to pharmaceutical chemistry, manufacturing, and control. Meantime polymorphs is a key factor for the quality of high-end drug and formulations. Polymorph prediction technology can effectively guide screening of trial experiments, and reduce the risk of missing stable crystal form in the traditional experiment. Polymorph prediction technology was firstly based on theoretical calculations such as quantum mechanics and computational chemistry, and then was developed by the key technology of machine learning using the artificial intelligence. Nowadays, the popular trend is to combine the advantages of theoretical calculation and machine learning to jointly predict crystal structure. Recently, predicting medicine polymorphs has still been a challenging problem. It is expected to learn from and integrate existing technologies to predict medicine polymorphs more accurately and efficiently.

Fraction absorbed (Fa) is an important parameter to describe the absorption level of oral drugs, and an important basis for the development and optimization of the formulation process. Because it is easily confused with the concept of absolute bioavailability, it has not received enough attention from the industry. There are many complex factors affecting Fa. There are three time-related factors that directly affect the extent of Fa: the release time, the absorption time, and the residence time. The relationship between these three time-related factors determines the extent of Fa. Generally, we are more concerned about the apparent factors that affect the extent of Fa, including independent variables and covariates; The independent variables include administered dose, route, dosage form, etc. The covariates are divided into internal and external factors, and external factors include food factors, drug interactions, etc. Internal causes include age, sex, disease, etc. This paper analyzes and systematically combs how independent variables and covariates directly or indirectly affect the three time-related factors by affecting the body's physiology and internal environment, thus changing the complex process of Fa. Understanding this theoretical framework can better optimize the independent variables to reduce the impact of covariates on Fa. In addition, this paper also introduces the latest progress of prediction and evaluation of Fa, including the progress of complex dissolution device and the status of software prediction.

Decoction is the most commonly used dosage form in the clinical treatment of traditional Chinese medicine (TCM). During boiling, the violent movement of various active ingredients in TCM creates molecular forces such as hydrogen bonding, π-π stacking, hydrophobic interactions and electrostatic interactions, which results in the formation of self-assembled aggregates in decoction (SADs), including particles, gels, fibers, etc. It was found that SADs widely existed in decoction with biological activities superior to both effective monomers and their physical mixtures, providing a new idea to reveal the pharmacodynamic material basis of Chinese herbal medicine from the perspective of component interactions-phase structure. Recently, SADs have become a novel focus of research in TCM. This paper reviewed their relevant studies in recent years and found some issues to be concerned in the research, such as the polydispersity of decoction system, instability of active ingredient interactions during boiling, uncertainty of the aggregates self-assembly rules, and stability, purity, yield of the products. In this regard, some solutions and new ideas were presented for the integrated development and clinical application of SADs.

Isoliquiritigenin (ISL) is an active chalcone compound isolated from licorice. It possesses anti-inflammatory and anti-oxidative activities. In our previous study, we uncovered a great potential of ISL in treatment of type 2 diabetes mellitus (T2DM). Therefore, this study aims to reveal the mechanism underlying the alleviatory effects of ISL on T2DM-induced glycolipid metabolism disorder. High-fat-high-sugar diet (HFD) combined with intraperitoneal injection of streptozotocin (STZ) were used to establish T2DM mice model. All animal experiments were carried out with approval of the Committee of Ethics at Beijing University of Chinese Medicine. HepG2 cells were used in in vitro experiments, and sodium palmitate (SP) was applied to establish insulin resistance (IR) model cells. The effects of ISL on body weight, fasting blood glucose levels, and pathological changes in the livers of mice were examined. Enzyme-linked immune sorbent assay (ELISA) and real-time quantitative PCR (RT-qPCR) were applied to detect the regulatory effects of ISL on key targets involved in glucolipid metabolism. Additionally, molecular docking and analytical dynamics simulation methods were used to analyze the interaction between ISL and key target protein. The results indicate that ISL significantly downregulates the transcriptional levels and inhibits the activities of key enzymes involved in gluconeogenesis, including pyruvate carboxylase (PC), phosphoenolpyruvate carboxykinase (PEPCK), and fructose-1, 6-bisphosphatase (FBP). It also downregulates the transcriptional and protein levels of hepatocyte nuclear factor 4α (HNF4α) and cAMP response element binding protein (CREB), the two transcriptional factors involved in gluconeogenesis. Thus, ISL inhibits hepatic gluconeogenesis in T2DM mice. In addition, ISL reduces total cholesterol (TC) and triglyceride (TG) levels in the livers of T2DM mice. Moreover, ISL downregulates the mRNA levels of lipogenesis genes and upregulates those of genes involved in fatty acid oxidation, lipid uptake, and lipid export. In conclusion, ISL suppresses hepatic gluconeogenesis, promotes lipolysis, and restrains lipogenesis in T2DM mice, thereby improving the abnormal glycolipid metabolism caused by T2DM.

The purpose of this study was to explore the improving effect of Anshen Dingzhi Prescription (ADP) on Alzheimer's disease (AD)-like behavior in mice and its mechanisms. The main chemical components of ADP were identified by ultra performance liquid chromatography-time-of-flight mass spectrometry (UPLC-Q-TOF-MS). The AD-like mouse model was induced by D-galactose (D-gal) combined with Aβ_1-42 oligomer (AβO). The effect of ADP on AD-like behavior in mice was assessed using various behavioral experiments; pathomorphological changes in mouse hippocampal tissue were observed by Nissl staining and transmission electron microscopy; ELISA was used in the assessment of oxidative stress factors and inflammation-related factor levels; Western blot was performed to detect the expression of Aβ, Tau and glial fibrillary acidic protein (GFAP) proteins. The active components of ADP were screened according to TCMSP and HERB database, and the action targets of active components were predicted by Swiss Target Prediction platform. In addition, the targets of AD were predicted through DisGeNET database. Further, GO and KEGG enrichment analysis of common targets was carried out by Metascape database. Combined with the results of GO and KEGG analysis, in vivo experiments were carried out to explore the potential mechanism of ADP improving AD-like behavior in mice from the PI3K/Akt, calcium signal pathway and synaptic function. Finally, the core components of ADP were molecularly docked to the validated targets using Autodock Vina. Animal experiments were approved by the Animal Ethics Committee of Anhui University of Chinese Medicine (approval number: AHUCM-mouse-2021080). The results showed that the five chemical components, including ginsenoside Rg1, ginsenoside Rb1, tenuifolin, poricoic acid B and α-asarone were found in the ADP. ADP significantly improved the anxiety-like behavior and memory impairment, protected hippocampal neurons, decreased the levels of oxidative stress and inflammation, and inhibited the expression of Aβ and p-Tau induced by D-galactose combined with AβO in mice. The results of network pharmacology suggested that PI3K/Akt, calcium signal pathway and cell components related to postsynaptic membrane might be the key factors for ADP to improve AD. Animal experiments revealed that ADP up-regulated N-methyl-D-aspartate receptor 2A (GluN2A), postsynaptic density protein 95 (PSD95), calpain-1, phosphorylated protein kinase B (p-Akt), phosphorylated cAMP response element binding protein (p-CREB), brain-derived neurotrophic factor (BDNF) expression and inhibited p-GluN2B and calpain-2 expression in the hippocampus of AD-like mice. The molecular docking results demonstrated that the core components of ADP, such as panaxacol, dehydroeburicoic acid, deoxyharringtonine, etc. had a high binding ability with the validated targets GRIN2A, GRIN2B, PSD95, etc. In summary, our results indicate ADP improves AD-like pathological and behavioral changes induced by D-galactose combined with AβO in mice, and the mechanism might be related to the NMDAR/calpain axis and Akt/CREB/BDNF pathway.

Berberine (BBR) is the main pharmacological active ingredient of Coptidis, which has hypoglycemic effect, but its clinical application is limited due to its poor oral bioavailability. Polyphenols, derived from cinnamon, are beneficial for type 2 diabetes mellitus (T2DM). The combination of both may have an additive effect. The aim of this study was to investigate the hypoglycemic effect and mechanism of combined medication in diabetic rats. The modeling rats were randomly divided into 5 groups (berberine group, cinnamon group, combined group, metformin group, diabetic control group) and normal control group. The animal experiments were approved by the Animal Ethics Committee (approval number: HMUIRB2022003). The subjects were given orally, and the control group was given equal volume solvent and body weight was measured weekly. Thirty days after administration, oral glucose tolerance test and insulin sensitivity test were performed, and fasting blood glucose (FBG), glycated serum protein (GSP), and serum insulin (INS) levels were detected; high-throughput sequencing technology was used to detect intestinal microbiota structure; real-time quantitative PCR (RT-qPCR) and Western blot were used to detect G protein-coupled receptor 5 (TGR5) and glucagon-like peptide-1 (GLP-1) expression levels. The results showed that, compared with the diabetic control group, the levels of FBG (P < 0.01) and GSP (P < 0.01) in the combined group were lower, and the insulin resistance was improved, which was better than that in the berberine group. Combined treatment increased the relative abundance of Bacteroides, Prevotella and Lactobacillus, reversed the decrease in Lactobacillus in the berberine alone induction group, and the combination of the two could promote the expression of TGR5 and GLP-1. In summary, the combined application of cinnamon and berberine can regulate glucose metabolism better than the application of berberine alone. Berberine combined with cinnamon can improve the function of pancreatic islet β cells in diabetes mellitus type 2 rats by changing the intestinal microbiota, increasing the expression of TGR5 and GLP-1 proteins, and thereby better regulating glucose metabolism.

Melatonin (Mel) has been shown to have cardioprotective effects, but its action on ion channels is unclear. In this experiment, we investigated the inhibitory effect of Mel on late sodium currents (I_Na.L) in mouse ventricular myocytes and the anti-arrhythmic effect at the organ level as well as its mechanism. The whole-cell patch clamp technique was applied to record the ionic currents and action potential (AP) in mouse ventricular myocytes while the electrocardiogram (ECG) and monophasic action potential (MAP) were recorded simultaneously in mouse hearts using a multichannel acquisition and analysis system. The results demonstrated that the half maximal inhibitory concentration (IC₅₀) values of Mel on transient sodium current (I_Na.T) and specific I_Na.L opener 2 nmol·L^-1 sea anemone toxins Ⅱ (ATX Ⅱ) increased I_Na.L were 686.615 and 7.37 μmol·L^-1, respectively. Mel did not affect L-type calcium current (I_Ca.L), transient outward current (I_to), and AP. In addition, 16 μmol·L^-1 Mel shortened ATX Ⅱ-prolonged action potential duration (APD), suppressed ATX Ⅱ-induced early afterdepolarizations (EADs), and significantly reduced the incidence of ventricular tachycardia (VT) and ventricular fibrillation (VF) in Langendorff-perfused mouse hearts. In conclusion, Mel exerted its antiarrhythmic effects principally by blocking I_Na.L, thus providing a significant theoretical basis for new clinical applications of Mel. Animal welfare and experimental process are in accordance with the regulations of the Experimental Animal Ethics Committee of Wuhan University of Science and Technology (2023130).

Octapeptin has strong antibacterial activity against Gram-negative bacteria such as Escherichia coli, Klebsiella pneumoniae and Acinetobacter baumannii, while it also has activity against some Gram-positive bacteria. This study used natural octapeptin A3 and B3 as lead compounds for structural modification. Twenty-one peptide derivatives (including A3 and B3) containing eight amino acid residues were prepared by solid-phase synthesis, and evaluated for antibacterial activity and renal cytotoxicity. Among them, three compounds 6, 7 and 17 exhibited broad-spectrum antibacterial activity and significantly enhanced the activity for Gram-positive bacteria while maintaining the activity of Gram-negative bacteria. Several compounds improved the activity for Pseudomonas aeruginosa. Compound 7 was active against all test strains and had relatively low renal cytotoxicity. The results provide a basis for the further development of novel polypeptide antibiotics.