Currently, clinically used drugs for the treatment of gout inflammation, such as colchicine, nonsteroidal anti-inflammatory drugs, and glucocorticoids, can only relieve the pain of joint inflammation and have severe hepatorenal toxicity and multiple organ adverse reactions. The NOD-like receptor thermal protein domain associated protein 3 (NLRP3) inflammasome is a key complex that induces the onset of gout inflammation and has become a crucial target in the development of anti-gout drugs. This article reviews the research progress of anti-gout small molecules targeting the NLRP3 inflammasome and their bioactivity evaluation methods in the past five years, in order to provide information for the development of specific drugs for the treatment of gout inflammation.

The pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a serious impact on global public health and the economy. SARS-CoV-2 infiltrates host cells via its surface spike protein, which binds to angiotensin-converting enzyme 2 on the host cell membrane. As a result, small molecules targeting spike protein have emerged as a hotspot in anti-SARS-CoV-2 drug research. Activity screening is an important step in seeking small molecule drugs. Therefore, this article aims to review the biological activity evaluation methods of small molecule inhibitors targeting SARS-CoV-2 spike protein, with the goal of laying the foundation for the discovery of new anti-SARS-CoV-2 drugs.

Antiviral drug research and development is an important research direction in the current and future biomedical field. The research and development of antiviral drugs not only requires the application of new strategies and new technologies, but also requires the complementary advantages and close cooperation of project teams. Based on the latest progress in this field and the author's drug research practice, this paper summarizes the underlying logic, innovative thinking and research paradigm of antiviral medicinal chemistry.

Objective To explore the therapeutic mechanism of Modified Lugen Formula(Phragmitis Rhizoma,Cicadae Periostracum,Batryticatus Bombyx,Lonicerae Japonicae Flos,Glycyrrhiza,Menthae Haplocalycis Herba,Notopterygii Rhizoma et Radix,Puerariae Lobatae Radix,Bupleuri Radix)in treating influenza from the virus-host interaction interface.Methods The phytocompounds were first collected from the HERB database,and then potential active compounds were screened out by Lipinski's rules of five.The targets of active compounds were further predicted through the SwissTargetPrediction platform.Differentially expressed genes(DEGs)were determined from the human H1N1 influenza dataset GSE90732 available in the Gene Expression Omnibus database(GEO).H1N1-Homo sapiens-related protein-protein interactions(PPIs)were gathered from the Pathogen-Host Interaction Search Tool(PHISTO).The above mentioned bioinformatic datasets were integrated.Then a PPI network and a Formula-virus-host interaction network were constructed using Cytoscape.Functional enrichment analyses were performed by using R software.Finally,molecular docking was carried out to evaluate the binding activities between the key compounds and targets.Results A total of 1 252 active compounds,1 415 targets,951 influenza-related DEGs,and 10 142 H1N1-Homo sapiens-related PPIs were obtained.There were 72 intersection targets between the Modified Lugen Formula and influenza.Functional enrichment analyses showed that these targets are closely related to host defense and programmed cell death.The network topological analysis showed that active compounds in the Modified Lugen Formula,such as oleanolic acid,γ-undecalactone,and longispinogenin,regulate viral proteins M2,NA,NS1,and HA and/or the host factors HSP90AA1,NRAS,and ITGB1,thus exert therapeutic effect.Molecular docking results confirmed that these compounds had a good binding ability with the targets.Conclusion Multiple active ingredients in Modified Lugen Formula directly target influenza virus proteins and/or host factors,thereby play an anti-influenza role in multiple dimensions,including inhibiting virus replication,regulating host defense and cell death.This study provides a theoretical basis for further experimental analysis of the action mechanism of the Modified Lugen Formula in treating influenza.

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.

At present, there is no cure for acquired immune deficiency syndrome (AIDS) due to HIV-1 latent reservoirs. Therefore, it urgently requires novel HIV-1 latency-regulating agents with high potency, low toxicity and favorable drug-like properties to achieve a functional cure for AIDS. Herein, we reviewed the advances in HIV-1 latency-regulating agents since 2019, including the drug discovery strategies, bioactivities, and mechanisms of these compounds. It is of great guiding significance in the development of latency-regulating agents with clinical value.

From the process of human immunodeficiency virus-1 (HIV-1) invading cells, the combination of gp120 and CD4 is the first step for HIV-1 to invade cells. Interfering with this process can prevent HIV from recognizing target cells and inhibit virus replication. Therefore, HIV-1 gp120 is an important part of the HIV-1 life cycle. Fostesavir, a phosphatate prodrug derived from the gp120 inhibitor BMS-626529 modified by the prodrug strategy, was approved for the treatment of adult patients with multidrug resistant HIV-1 infection by the US FDA and the European Medicines Agency in 2020 and 2021, respectively. In this review, we focus on the research progress of small molecule inhibitors targeting the interaction of gp120-CD4 from the perspective of medicinal chemistry, in order to provide reference for the subsequent research of gp120 inhibitors.

Objective To explore the risk factors for intracranial infection in patients after neurosurgery,con-struct and validate a Nomogram prediction model.Methods Data of 978 patients who underwent neurosurgery in a hospital in Nanjing from January 1,2019 to December 31,2022 were retrospectively analyzed.Independent risk fac-tors were screened through logistic univariate and multivariate analyses.Modeling variables were screened through Lasso regression.A Nomogram model was constructed and internally validated by logistic regression.Effectiveness of the model was evaluated with receiver operating characteristic(ROC)curve,calibration curve and decision curve.Results Among 978 patients underwent neurosurgery,293 had postoperative intracranial infection,with an inci-dence of healthcare-associated infection of 29.96％.There was no significant difference in age,gender,proportion of coronary heart disease,cerebral infarction,diabetes and hypertension between the infected group and the non-in-fected group(all P＞0.05).Multivariate logistic analysis showed that postoperative intracranial hypertension,fe-ver,increased neutrophil percentage in blood routine examination,turbid cerebrospinal fluid,positive Pan's test,decreased glucose concentration,abnormal ratio of cerebrospinal fluid/serum glucose,positive microbial culture,absence of indwelling external ventricular drainage tubes,presence of indwelling lumbar cistern drainage tubes,use of immunosuppressive agents,and long duration of surgery were independent risk factors for postoperative intracra-nial infection in patients who underwent neurosurgery(all P＜0.05).Fifteen variables were screened out through Lasso regression.Fourteen variables were finally included for modeling after collinear screening,missing data impu-tation(random forest method)and checking pairwise interaction items.A Nomogram prediction model was con-structed,with the area under ROC curve,sensitivity,specificity,and accuracy of 0.885,0.578,0.896,and 0.704,respectively.Internal validation of the model was conducted.The modeling and validation groups presented similar effects.The calibration curve and decision curve also indicated that the model had good predictive efficacy.Conclusion The constructed Nomogram prediction model for postoperative intracranial infection after neurosurgery is scientific,and the prediction indicators are easy to obtain.The model presents with high stability,reliability,and application value,thus can provide reference for the assessment of postoperative intracranial infection after neuro-surgery.

COVID-19 epidemic continues to spread around the world till these days, and it is urgent to develop more safe and effective new drugs. Due to the limited P3 biosafety laboratories for directly screening inhibitors of virulent viruses with high infectivity, it is necessary to develop rapid and efficient screening methods for viral proteases and other related targets. The main protease (M^pro), which plays a key role in the replication cycle of SARS-CoV-2, is highly conserved and has no homologous proteases in humans, making it an ideal target for drug development. From two different levels, namely, molecular level and cellular level, this paper summarizes the reported screening methods of SARS-CoV-2 M^pro inhibitors through a variety of representative examples, expecting to provide references for further development of SARS-CoV-2 M^pro inhibitors.

As a common protease with high similarity among coronavirus species, the main protease (M^pro) of SARS-CoV-2 is responsible for the catalytic hydrolysis of viral precursor proteins into functional proteins, which is essential for coronavirus replication and is one of the ideal targets for the development of broad-spectrum antiviral drugs. This paper reviews the main protease inhibitors of SARS-CoV-2, including their molecular structures, potencies and drug-like profiles, binding modes and structure-activity relationships, etc.