Objective To investigate the peripheral blood cytokine levels in patients with acute myocardial infarction(AMI),and to analyze its correlation with Killip classification,N-terminal brain natriuretic peptide precursor(NT-proBNP),cardiac troponin I(cTnI),creatine kinase isoenzymes(CK-MB),and to provide a theoretical basis for assessing the severity and prognosis of the disease.Methods A total of 312 patients with AMI admitted to Minhang Hospital,Fudan University from Jul 2021 to Oct 2023 were enrolled as the case group,and 201 patients with unstable angina pectoris were selected as the control group.General clinical data of the subjects were collected,and the concentrations of cytokines(IL-5,IFN-α,IFN-γ,IL-10,IL-12p70,IL-17,IL-1β,IL-2,IL-4,IL-6,IL-8,and TNF-α)in peripheral blood were detected by multiplex bead-based flow cytometry.NT-proBNP,cTnI and CK-MB were measured by chemiluminescence methods.The levels of cytokines between the two groups were compared,and their correlations with Killip classification,NT-proBNP,cTnI and CK-MB were analyzed.The predictive efficacy of cytokines for AMI was evaluated by receiver operating characteristic(ROC)curves.Results There were no significant differences in baseline data between the AMI group and the control group(P>0.05),with the exception of age.The levels of IL-6,IL-8 and TNF-α in the AMI group were higher than those in the control group(all P<0.01).The correlation analyses showed that IL-6 was positively correlated with Killip classification,NT-proBNP,cTnI and CK-MB(all P<0.01).ROC analyses showed that IL-6 levels had good predictive efficacy for AMI(AUC=0.882 9,P<0.01).Conclusion The expression of IL-6 was significantly increased in patients with AMI,and it was positively correlated with Killip classification,NT-proBNP,cTnI and CK-MB,suggesting that IL-6 may serve as a potential biomarker for assessing the severity of AMI.

Objective:To explore the risk factors and etiological characteristics of urinary tract infection caused by urinary calculi in eastern Fujian region,in order to attract clinical attention and improve the prevention and treatment of urinary tract infection caused by urinary calculi.Methods:A total of 154 patients with urinary calculi admitted to Ningde People's Hospital(n=80)and Ningde Mindong Hospital(n=74)from November 2022 to October 2023 were selected as the main research objects.According to whether the patients had urinary tract infection,they were divided into infection group and non-infection group.The baseline data of the two groups were analyzed in detail,and the risk factors and pathogen distribution of urinary tract infection in patients with urinary calculi were analyzed.Results:There were 33 cases of urinary tract infection in 154 patients with urinary calculi,accounting for 21.43％.Univariate analysis showed that the urinary white blood cell count in the infection group was higher than that in the non-infection group,and the proportion of patients with effusion,urinary tract obstruction,calculi in the upper urinary tract,staghorn calculi,smoking history,diabetes,and urinary nitrite positive was higher than that in the uninfected group(P＜0.05).The results of binary logistic regression analysis showed that effusion,urinary tract obstruction,staghorn calculi,smoking history,diabetes,high urine white blood cell count and positive urine nitrite were independent risk factors for urinary tract infection in patients with urinary calculi(OR＞1,P＜0.05).A total of 33 strains of pathogenic bacteria were isolated from 33 patients in the infection group.Among them,23 strains(69.70％)were gram-negative bacteria,8 strains(24.24％)were gram-positive bacteria,and 2 strains(6.06％)were fungi.Among gram-negative bacteria,escherichia coli accounted for the highest proportion(48.48％),followed by klebsiella pneumoniae(9.09％).Among gram-positive bacteria,enterococcus faecalis accounted for the highest proportion(12.12％),followed by enterococcus faecium(6.06％).Candida and candida tropicalis in fungi was the same,accounted for 3.03％.Conclusion:The risk of urinary tract infection in patients with urinary calculi in eastern Fujian region is high.Effusion,urinary tract obstruction,staghorn calculi,smoking history,diabetes,high urine white blood cell count and positive urine nitrite are independent risk factors for urinary tract infection in patients with urinary calculi.The main urinary tract pathogens are gram-negative bacteria.

Aim To investigate the regulatory effects and underlying mechanisms of 4-methoxybenzyl alcohol(4-MBA),an active ingredient of Gastrodia elata,on hepatic cholesterol metabolism.Methods Acute hy-perlipidemia mouse models were established via egg yolk emulsion induction,and hyperlipidemia rat models were constructed using a high-fat diet.Serum and he-patic total cholesterol(TC),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),and high-den-sity lipoprotein cholesterol(HDL-C)levels were quan-tified via enzymatic assays.Hepatic histopathological changes were evaluated through hematoxylin-eosin(HE)and Oil Red O staining.Interactions between 4-MBA and key cholesterol metabolism targets were sim-ulated using molecular docking.mRNA and protein ex-pression levels of LDL receptor(LDLR),proprotein convertase subtilisin/kexin type 9(PCSK9),liver X receptor α(LXRα),peroxisome proliferator-activated receptor γ(PPARγ),ATP-binding cassette transporter G1(ABCG1),and cholesterol 7α-hydroxylase(CYP7A1)were assessed using quantitative polymer-ase chain reaction(qPCR)and immunohistochemis-try.Results In acute hyperlipidemic mice,4-MBA administration significantly reduced serum TG and LDL-C levels while elevating HDL-C(P＜0.05).Hy-perlipidemic rats exhibited decreased serum TG and LDL-C,increased HDL-C(P＜0.01),reduced hepatic LDL-C(P＜0.01),and elevated hepatic HDL-C(P＜0.01).Although TC levels showed a downward trend,the difference lacked statistical significance.He-patic lipid accumulation and steatosis were alleviated.Upregulated mRNA and protein expression of LDLR,PPARγ,LXRα,and ABCG1(P＜0.01),alongside downregulated PCSK9(P＜0.05),were observed.Conclusion 4-MBA modulates cholesterol metabolism primarily via the LDLR/PCSK9 pathway to enhance cholesterol uptake and the PPARγ-LXRα-CYP7A1/ABCA1 axis to promote cholesterol utilization and ef-flux.

Aim To investigate the antidepressant mechanism of hyperforin via the utilization of single-cell sequencing technology.Methods C57BL/6 mice were randomly divided into the control group,depres-sion model group,and hyperforin intervention group.The chronic unpredictable mild stress(CUMS)model was induced and drug interventions were administered for 28 d.Behavioral experiments were conducted to as-sess depressive symptoms,and hippocampal tissue was collected for single-cell RNA sequencing.Key cell populations and differentially expressed genes across groups were identified,followed by PPI network,GO,and KEGG enrichment analysis.Results Behavioral experiments indicated that CUMS successfully induced depressive symptoms in mice,while hyperforin im-proved depressive behavior.In the depression model group,the proportion of brain perivascular macrophages(PVM)increased,and this proportion decreased after hyperforin intervention,approaching the level seen in the control group.The top 20 common differentially ex-pressed genes in the PVM subpopulation were Saa3,Hbb-bs and Ccl24.PPI network analysis identified core targets,including Ccl2,Dhx9,C3,Msr1,Cxcl2 and Cx3cr1.KEGG enrichment analysis revealed pathways related to chemokines,phagosome formation,and inosi-tol phosphate metabolism.Conclusion The antide-pressant mechanism of hyperforin may be related to the regulation of Ccl24 and its related chemokine signaling pathway by PVM.

Objective:To investigate the drug resistance gene characteristics, plasmid characteristics and genome tracing of Shigella sonnei causing a bacillary dysentery outbreak in Shandong Province. Methods:Sixty-five Shigella sonnei strains isolated from a 2021 outbreak in a county of Shandong Province were analyzed using antimicrobial susceptibility testing, whole genome sequencing (WGS), characterization of resistance and virulence genes, plasmid profiling, core genome multilocus sequence typing (cgMLST), and single nucleotide polymorphism (SNP) analysis. Results:All isolates had the same resistance phenotype and genotypes and were multidrug-resistant ESBL-producing Shigella sonnei, carrying important virulence genes. Plasmid analysis revealed a conserved genetic arrangement, pil( M/ N/ O2/ P)-tra( F/ H/ J/ K/ N/ O/ P/ Q)-IS Ecp1- blaCTX-M-14-Tn 903- yub( J/ I/ F/ G/ E/ D), and shared across strains from diverse regions and bacterial species. The cgMLST and SNP analyses demonstrated concordant clustering, with all 65 outbreak-related strains forming a single cluster alongside human-derived strains from Guangxi. Conclusion:The ESBL-producing Shigella sonnei responsible for the outbreak shares a homologous relationship with Guangxi human-derived strains, and the detected resistance plasmids and virulence genes underscore the need to strengthen drug resistance surveillance and genome tracing.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Aim To investigate the antidepressant mechanism of hyperforin via the utilization of single-cell sequencing technology.Methods C57BL/6 mice were randomly divided into the control group,depres-sion model group,and hyperforin intervention group.The chronic unpredictable mild stress(CUMS)model was induced and drug interventions were administered for 28 d.Behavioral experiments were conducted to as-sess depressive symptoms,and hippocampal tissue was collected for single-cell RNA sequencing.Key cell populations and differentially expressed genes across groups were identified,followed by PPI network,GO,and KEGG enrichment analysis.Results Behavioral experiments indicated that CUMS successfully induced depressive symptoms in mice,while hyperforin im-proved depressive behavior.In the depression model group,the proportion of brain perivascular macrophages(PVM)increased,and this proportion decreased after hyperforin intervention,approaching the level seen in the control group.The top 20 common differentially ex-pressed genes in the PVM subpopulation were Saa3,Hbb-bs and Ccl24.PPI network analysis identified core targets,including Ccl2,Dhx9,C3,Msr1,Cxcl2 and Cx3cr1.KEGG enrichment analysis revealed pathways related to chemokines,phagosome formation,and inosi-tol phosphate metabolism.Conclusion The antide-pressant mechanism of hyperforin may be related to the regulation of Ccl24 and its related chemokine signaling pathway by PVM.

AIM To establish the preparation process and quality standard for Zhenggu Pills.METHODS With decoction time,decoction frequency and water addition as influencing factors,comprehensive score for extract yield and transfer rates of epicatechin and naringin as an evaluation index,the decoction process was optimized by orthogonal test.With sugarless paste relative density,medicinal powder fineness,sugarless paste-corn starch ratio,drying temperature and drying time as influencing factors,soft material traits,pill formability,moisture and disintegration time limit as evaluation indices,the formability process was optimized by single factor test.TLC was adopted in the qualitative identification of Dipsaci Radix,salt-processed Psoraleae Fructus,cooked Rhei Radix et Rhizoma and Notoginseng Radix et Rhizoma.HPLC was used for the content determination of paeoniflorin and naringin.RESULTS The optimal decoction process was determined to be 0.5 h for decoction time,two times for decoction frequency,and 10 times for water addition,the comprehensive score was 0.93.The optimal formability process was determined to be 1.21-1.22 for sugarless paste relative density,80 mesh for medicinal powder fineness,1∶0.17-1∶0.18 for sugarless paste-corn starch ratio,70 ℃ for drying temperature,and 24 h for drying time,good soft material traits and pill formability were observable,and moisture and disintegration time limit accored with 2020 edition of Chinese Pharmacopoeia requirements.The TLC spots were clear without negative interference.Two constituents showed good linear relationships within 61.30-490.41 μg/mL(r=0.999 8)and 3.27-26.18 μg/mL(r=0.999 8),whose average recoveries were 100.15％and 98.15％with the RSDs of 0.55％and 2.30％,respectively.CONCLUSION This stable,reliable and specific method can be used for the production and quality evaluation of Zhenggu Pills.

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.

AIM:To evaluate the efficacy of inflix-imab in the maintenance of Perianal fstulizing Crohn's disease.METHODS:The clinical data of 24 patients with perianal fistula Crohn's disease(PFCD)treated with infliximab(IFX)in the Depart-ment of Anorectal Surgery of our hospital from No-vember 2020 to October 2023 were retrospectively collected.The clinical efficacy and safety were eval-uated by observing the clinical characteristics for 54 weeks.The fistula remission rate,clinical remis-sion rate,and endoscopic remission rate of pa-tients were calculated.The changes of laboratory indexes before and after treatment were recorded.Logistic regression was used to analyze the related factors of fistula remission.All adverse reactions oc-curred during IFX treatment were recorded.RE-SULTS:After 54 weeks of IFX treatment,the fistula remission rate,clinical remission rate,and endo-scopic remission rate were 37.5％,45.83％,and 33.33％,respectively.Fistula response at 14 weeks of treatment(OR=19.419,95％CI:1.267-297.559,P=0.033)was predictive factors for fistula remission at 54 weeks of treatment.The inflammatory index-es and nutritional indexes were significantly im-proved compared with those before treatment(P＜0.01).The scores of PDAI,CDAI and SES-CD were significantly different from those before treatment(P＜0.01).Five patients(20.83％)had adverse reac-tions,and the symptoms disappeared or improved after symptomatic treatment,and no patient had serious adverse reactions.CONCLUSION:IFX can ef-fectively promote the closure of PFCD fistula,im-prove the chronic inflammatory reaction of intesti-nal mucosa,alleviate clinical symptoms,and im-prove the quality of life of patients.IFX is effective and safe for PFCD maintenance treatment.