Objective The alkaloids contained in the Chinese herb Sophora flavescens have good anti-inflammatory activity. To investigate the structure-activity relationship between the novel matrine and the anti-inflammatory activity by modifying the structure of matrine. Methods Fourteen novel matrine derivatives were obtained by chemical modification using matrine as the lead compound with matrine and M19 as positive controls. The cytotoxicity of matrine derivatives against RAW264.7 cells was detected by the cell counting kit 8 （CCK8） assay, and the relative amount of NO produced by matrine derivatives against lipopolysaccharide （LPS）-induced inflammation model of RAW264.7 cells was detected using an NO assay kit. The enzyme-linked immunosorbent assay （Elisa） was used to detect the secretion of interleukin-6 （IL-6） and tumor necrosis factor alpha （TNF-α） by matrine derivatives in LPS-induced inflammation model of RAW264.7 cells. Results The novel matrine derivatives all exhibited lower cytotoxicity compared with M19. The NO inhibition rates of the novel matrine derivatives were all higher than that of matrine, and some were higher than that of M19, with compound A12 having the highest NO inhibition rate. Compounds A11 and A12 showed higher IL-6 inhibition than the control M19. Additionally, compound A12 had higher TNF-α inhibition than M19. Conclusion Compound A12 inhibited the strongest inhibition of NO, IL-6 and TNF-α release and had the best anti-inflammatory activity, which provided an important lead compound for this subsequent in-depth study.

Objective The aim of the study is to analyze the incidence patterns and epidemiological characteristics of parasitic and vector-borne diseases in the Minhang and Jinshan districts of Shanghai, and provide evidence-based information for optimizing prevention and control measures. Methods We collected information from epidemic reports and epidemiological investigation forms for cases of parasitic and vector-borne diseases from 2005 to 2024 in Shanghai's Minhang and Jinshan districts. Descriptive epidemiological method were adopted to conduct a comparative analysis of incidence trends, epidemic characteristics, and infection sources. Results A total of 229 cases in 7 categories were reported between 2005 and 2024, with an average annual incidence rate of 0.36/100 000. The average annual incidence rate in Minhang District was significantly higher than that in Jinshan District. The most prevalent diseases were malaria and dengue fever, followed by Japanese encephalitis. Monthly case reports were available, predominantly from June to October, with a peak in July-August. A statistically significant difference was observed between the two districts in case distribution during June-October (P＜0.001), whereas no significant difference was found for July-August (P=0.331). The majority of cases were young men (111/229,48.47%), aged 20-39 years. Migrant workers/farmers constituted the largest occupational group (55/229, 24.02%). Registered residents of other provinces and cities (147/229,64.19%), and the main source of infection was overseas importation (112/229,48.91%). There were no statistically significant differences in gender and household-registration composition between the two districts (P＞0.05). Significant differences existed in age, occupation, and source of infection (P＜0.05). The imported diseases were malaria and dengue fever, with Africa and Southeast Asia being the primary source locations. Malaria was the predominant disease imported from other provinces and cities, with cases having been imported from abroad since 2012. Local infections were mainly Japanese encephalitis, followed by malaria (with the last local case reported in 2010). Cases between 2005 and 2009 were predominantly imported from other provinces and cities. The proportion of cases imported from abroad increased sharply after 2010, particularly in Minhang District. Local infections sometimes arise in Jinshan District, with Japanese encephalitis serving as the primary type. Conclusions Incidence rates of parasitic and vector-borne diseases in Minhang and Jinshan districts have generally remained low. To further reduce this disease burden, it will be necessary to strengthen joint measures for prevention and control, eliminate the environmental risk factors of vector organisms, enhance monitoring and precise control of the environment and inbound personnel to prevent the occurrence and transmission of parasitic and vector-borne diseases.

With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.

Objective To analyze the clinical characteristics of patients with coronary heart disease complicated by gastrointestinal hemorrhage and explore the independent prognostic factors.Methods The clinical data of patients with coronary heart disease complicated by gastrointestinal hemorrhage who were treated in the department of emergency of the First Affiliated Hospital of Zhejiang University School of Medicine from January 1,2022 to December 31,2023 were collected,including general information:gender,age,smoking history,drinking history,gastrointestinal hemorrhage-related symptoms(hematemesis,melena,hematochezia,hematemesis combined with melena)or positive fecal occult blood test,past medical history[hypertension,diabetes,atrial fibrillation,liver cirrhosis,malignancy,prior gastrointestinal hemorrhage],coronary heart disease treatment history(history of coronary stent implantation,history of coronary artery bypass grafting),history of antithrombotic drugs,vital signs on admission[body temperature,pulse rate,systolic blood pressure,pulse oxygen saturation(SpO2)],laboratory tests[random blood glucose,white blood cell count(WBC),hemoglobin(Hb),platelet count(PLT),C-reactive protein(CRP),serum creatinine(SCr),blood urea nitrogen(BUN),serum albumin(Alb),alanine aminotransferase(ALT),aspartate aminotransferase(AST),MB isoenzyme of creatine kinase(CK-MB),troponin I(TNI),brain natriuretic peptide(BNP),fibrinogen(Fib),prothrombin time(PT),activated partial thromboplastin time(APTT),D-dimer,ejection fraction(EF)],treatment process[gastrointestinal hemorrhage management(gastrointestinal endoscopy examination or treatment,vascular interventional therapy),blood transfusion volume(red blood cells,plasma),ICU admission rate and admission time,hospital stay],the causes of gastrointestinal hemorrhage comprehensively inferred from imaging and gastrointestinal endoscopy.According to the treatment outcome,the patients were divided into the cured group and the death group,and the differences in clinical data between the two groups were compared.Multivariate Logistic regression analysis was used to identify the independent influencing factors of death outcome.The receiver operating characteristic(ROC)curves were plotted to compare the predictive value of each factor for prognosis.Results A total of 526 patients were enrolled,including 486 in the cured group and 40 in the death group.The causes of death were multiple organ dysfunction syndrome(22 cases),acute myocardial infarction(7 cases),malignant arrhythmia(2 cases),respiratory failure(2 cases),infection(2 cases),hemorrhagic shock(3 cases),acute cerebral infarction(1 case),and cerebral hemorrhage(1 case).No statistically significant differences were found between the two groups in terms of gender,age,smoking history,excessive drinking history,symptoms(hematemesis,hematochezia,positive fecal occult blood test,hematemesis combined with melena),past medical history(hypertension,atrial fibrillation,liver cirrhosis,tumor history,prior gastrointestinal hemorrhage),coronary heart disease treatment history,antithrombotic drug history,body temperature,pulse rate,SpO2,random blood glucose,WBC,Hb,PLT,ALT,AST,CK-MB,TNI,Fib,APTT,EF,gastrointestinal hemorrhage management,causes of gastrointestinal hemorrhage,red blood cell/plasma transfusion volume,and hospital stay(all P>0.05).Compared with the cured group,the death group had a lower rate of melena as the initial symptom,systolic blood pressure,and serum Alb level[melena rate:32.50%(13/40)vs.66.26%(322/486),systolic blood pressure(mmHg,1 mmHg≈0.133 kPa):104.71±8.52 vs.122.52±22.59,Alb(g/L):30.80(27.60,33.70)vs.34.70(32.65,39.05),all P<0.05],and a higher prevalence of diabetes,higher levels of CRP,SCr,BUN,BNP,PT,D-dimer,a higher ICU admission rate,and a longer ICU stay[diabetes prevalence:70.00%(28/40)vs.29.42%(143/486),CRP(mg/L):94.91(30.69,125.56)vs.2.95(1.17,24.31),SCr(μmol/L):200.0(123.0,407.0)vs.82.5(66.8,112.0),BUN(mmol/L):15.81(14.00,22.21)vs.7.61(5.00,14.49),BNP(ng/L):2 970.50(1 504.25,6 193.50)vs.442.00(141.25,1 590.25),PT(s):13.50(12.60,22.50)vs.12.25(11.58,13.30),D-dimer(μg/L):5601(4115,11352)vs.609(267,1350),ICU admission rate:67.50%(27/40)vs.6.99%(34/486),ICU stay(days):3(2,16)vs.0(0,0),all P<0.05].With clinical outcomes(death,cure)as the dependent variable,variables with statistical significance in univariate analysis were included in the multivariate Logistic regression analysis.The results showed that systolic blood pressure and serum Alb were independent protective factors for death outcome[odds ratio(OR)=0.960,0.818;95%confidence interval(95%CI)was 0.933-0.987,0.719-0.932;P=0.004,0.002;respectively],while CRP and SCr were independent risk factors for death outcome[OR=1.013,1.004;95%CI was 1.006-1.020,1.002-1.006,all P<0.001].Taking death outcome as the state variable and serum Alb,systolic blood pressure,SCr,and CRP as the test variables respectively,the ROC curves were plotted.The results indicated that serum Alb,systolic blood pressure,SCr,CRP and their combined detection all had high predictive efficacy for the death outcome[area under the curve(AUC)=0.825,0.775,0.862,0.819,0.928;95%CI was 0.766-0.885,0.729-0.820,0.818-0.905,0.703-0.934,0.891-0.965;sensitivity was 78.6%,92.8%,85.7%,85.7%,92.9%;specificity was 72.7%,72.5%,78.8%,83.8%,77.8%,all P<0.001].The combined detection of the 4 factors had the highest predictive efficacy(all P<0.05).Conclusions Systolic blood pressure,serum Alb,CRP,and SCr were independent influencing factors for the in-hospital death outcome of patients with coronary heart disease complicated by gastrointestinal hemorrhage.The Logistic regression model constructed based on these factors had better predictive efficacy for death outcome than single factor analysis.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Solid-phase extraction(SPE)combined with surface-enhanced Raman spectroscopy(SERS)has emerged as a promising analytical technique for detection and analysis of trace components in complex sample matrices.SPE enriches analytes through selective adsorption and solvent elution,effectively increasing the concentration and signal intensity.SERS enables ultra-sensitive and highly selective molecular analysis through the use of SERS-active substrates engineered to amplify Raman signals.The integration of these two techniques overcomes the limitations of conventional Raman spectroscopy in low-concentration detection field,while significantly improving sample preparation efficiency and analytical accuracy.This review provided a comprehensive overview of the characteristics of three SPE-SERS coupling modes,including two-step,one-step,and online integration.Special emphasis was placed on recent advancements in one-step SPE-SERS approaches based on novel functional adsorbent materials such as graphene,metal-organic frameworks,covalent organic frameworks,and molecularly imprinted polymers.Furthermore,future directions and development prospects of SPE-SERS technology were discussed.

Integrated metabolomic and lipidomic profiling,utilizing liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS),has emerged as a pivotal strategy for biomarker discovery.However,the inherent polarity disparity between metabolites and lipids complicates simultaneous analysis.To address this,a dual-stationary phase polarity-extended liquid chromatography(PELC)system was developed,which surpassed conventional one-dimensional LC(1D-LC)by enabling comprehensive coverage of both polar and non-polar compounds within a single injection.This system enhanced chromatographic resolution,peak capacity,and throughput while minimizing analytical variability.Extracellular vesicles(EVs),lipid bilayer-enclosed nanoparticles ubiquitously present in biofluids,had gained prominence as reservoirs of cancer biomarkers due to their cargo stability and pathophysiological relevance.Herein,the application of PELC-HRMS for concurrent metabolome-lipidome profiling in EVs was pioneered.A total of 193 metabolites were identified using this technique coupled with MS-DIAL software and Human Metabolome Database.Subsequently,this technique was employed to explore potential biomarkers for prostate cancer(PCa).Multivariate analysis identified 17 differentially abundant metabolites in PCa,implicating dysregulated pathways including purine metabolism,starch and sucrose metabolism,galactose metabolism,cysteine and methionine metabolism,and biosynthesis of unsaturated fatty acids.Notably,creatine(AUC=0.92)and DG 42:5(AUC=0.80)demonstrated robust diagnostic efficacy,attributable to their broad polarity ranges and EV-specific enrichment.This study established PELC as a high-fidelity platform for multi-omics integration in complex biospecimens,advancing mechanistic insights into metabolic rewiring and disease pathophysiology.

Tumors are the second leading cause of death worldwide. Exosomes are a type of extracellular vesicle secreted from multivesicular bodies, with particle sizes ranging from 40 to 160 nm. They regulate the tumor microenvironment, proliferation, and progression by transporting proteins, nucleic acids, and other biomolecules. Compared with other drug delivery systems, exosomes derived from different cells possess unique cellular tropism, enabling them to selectively target specific tissues and organs. This homing ability allows them to cross biological barriers that are otherwise difficult for conventional drug delivery systems to penetrate. Due to their biocompatibility and unique biological properties, exosomes can serve as drug delivery systems capable of loading various anti-tumor drugs. They can traverse biological barriers, evade immune responses, and specifically target tumor tissues, making them ideal carriers for anti-tumor therapeutics. This article systematically summarizes the methods for exosome isolation, including ultracentrifugation, ultrafiltration, size-exclusion chromatography (SEC), immunoaffinity capture, and microfluidics. However, these methods have certain limitations. A combination of multiple isolation techniques can improve isolation efficiency. For instance, combining ultrafiltration with SEC can achieve both high purity and high yield while reducing processing time. Exosome drug loading methods can be classified into post-loading and pre-loading approaches. Pre-loading is further categorized into active and passive loading. Active loading methods, including electroporation, sonication, extrusion, and freeze-thaw cycles, involve physical or chemical disruption of the exosome membrane to facilitate drug encapsulation. Passive loading relies on drug concentration gradients or hydrophobic interactions between drugs and exosomes for encapsulation. Pre-loading strategies also include genetic engineering and co-incubation methods. Additionally, we review approaches to enhance the targeting, retention, and permeability of exosomes. Genetic engineering and chemical modifications can improve their tumor-targeting capabilities. Magnetic fields can also be employed to promote the accumulation of exosomes at tumor sites. Retention time can be prolonged by inhibiting monocyte-mediated clearance or by combining exosomes with hydrogels. Engineered exosomes can also reshape the tumor microenvironment to enhance permeability. This review further discusses the current applications of exosomes in delivering various anti-tumor drugs. Specifically, exosomes can encapsulate chemotherapeutic agents such as paclitaxel to reduce side effects and increase drug concentration within tumor tissues. For instance, exosomes loaded with doxorubicin can mitigate cardiotoxicity and minimize adverse effects on healthy tissues. Furthermore, exosomes can encapsulate proteins to enhance protein stability and bioavailability or carry immunogenic cell death inducers for tumor vaccines. In addition to these applications, exosomes can deliver nucleic acids such as siRNA and miRNA to regulate gene expression, inhibit tumor proliferation, and suppress invasion. Beyond their therapeutic applications, exosomes also serve as tumor biomarkers for early cancer diagnosis. The detection of exosomal miRNA can improve the sensitivity and specificity of diagnosing prostate and pancreatic cancers. Despite their promising potential as drug delivery systems, challenges remain in the standardization and large-scale production of exosomes. This article explores the future development of engineered exosomes for targeted tumor therapy. Plant-derived exosomes hold potential due to their superior biocompatibility, lower toxicity, and abundant availability. Furthermore, the integration of exosomes with artificial intelligence may offer novel applications in diagnostics, therapeutics, and personalized medicine.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

The plant F-box protein more axillary growth 2 (MAX2) is a key factor in the signal transduction of strigolactones (SLs) and karrinkins (KARs). As the main component of the SKP1-CUL1-FBX (SCF) complex ubiquitin ligase E3, MAX2 is responsible for specifically recognizing the target proteins, suppressor of MAX2 1/SMAX1-like proteins (SMAX1/SMXLs), which would be degraded after ubiquitination. It can thereby regulate plant morphogenesis and stress responses. There exist homologous genes of MAX2 in the important grain and oil crop soybean (Glycine max). However, its role in plant defense responses has not been investigated yet. Here, GmMAX2b, a homologous gene of MAX2, was successfully cloned from stressed soybean. Bioinformatics analysis revealed that there were two MAX2 homologous genes, GmMAX2a and GmMAX2b, with a similarity of 96.2% in soybean. Their F-box regions were highly conserved. The sequence alignment and cluster analysis of plant MAX2 homologous proteins basically reflected the evolutionary relationship of plants and also suggested that soybean MAX2 might be a multifunctional protein. Expression analysis showed that plant pathogen infection and salicylic acid treatment induced the expression of GmMAX2b in soybean, which is consistent with that of MAX2 in Arabidopsis. Ectopic expression of GmMAX2b compensated for the susceptibility of Arabidopsis max2-2 mutant to pathogen, indicating that GmMAX2b positively regulated plant disease resistance. In addition, yeast two hybrid technology was used to explore the potential target proteins of GmMAX2b. The results showed that GmMAX2b interacted with SMXL6 and weakly interacted with SMXL2. In summary, GmMAX2b is a positive regulator in plant defense responses, and its expression is induced by pathogen infection and salicylic acid treatment. GmMAX2b might exert its effect through interaction with SMXL6 and SMXL2. This study expands the theoretical exploration of soybean disease resistant F-box and provides a scientific basis for future soybean disease resistant breeding.
Glycine max/metabolism* ; Disease Resistance/genetics* ; Plant Diseases/immunology* ; Plant Proteins/genetics* ; Cloning, Molecular ; Gene Expression Regulation, Plant ; F-Box Proteins/genetics* ; Arabidopsis/genetics* ; Phylogeny