ObjectiveThis study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms. MethodsLuteolin was identified as the primary active compound from the polyphenol extract ofF. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed. ResultsLuteolin effectively inhibited both MP strains, with MIC₉₀ values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice. ConclusionLuteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.

ObjectiveThis study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms. MethodsLuteolin was identified as the primary active compound from the polyphenol extract ofF. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed. ResultsLuteolin effectively inhibited both MP strains, with MIC₉₀ values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice. ConclusionLuteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.

Objective:Mendelian randomization analysis (MR) was used to investigate the causal association between nine cathepsins and cholelithiasis.Methods:Single nucleotide polymorphism (SNP) sites closely associated and mutually independent with nine cathepsins and cholelithiasis were screened out from the Genome-Wide Association Study database and the FinnGen Biobank database, respectively. SNP corresponding to exposure factors were selected as instrumental variables. Two-sample bidirectional MR analysis was conducted with methods of inverse variance weighted (IVW), weighted median and MR-Egger regression. Additionally, multivariable Mendelian randomization (MVMR) was conducted to estimate the direct effect of cathepsins on cholelithiasis. Cochran's Q test, MR-PRESSO method and MR Egger regression were used to evaluate the levels of heterogeneity and pleiotropy. And the leave-one-out method was performed for the sensitivity analysis. Results:The univariable Mendelian randomization analysis results indicated that elevated cathepsin B levels increased the overall risk of cholelithiasis (IVW: OR=1.054, 95% CI: 1.025-1.083, P<0.001). The reverse MR analyses did not support a causal effect of cholelithiasis on cathepsin B (IVW: OR=0.998, 95% CI: 0.920-1.083, P=0.969). A multivariable analysis showed that elevated cathepsin B levels were still strongly associated with an increased risk of cholelithiasis (IVW: OR=1.038, 95% CI: 1.003-1.073, P=0.031). None evidence of significant pleiotropy and heterogeneity was observed, which was verified by sensitivity analysis. Conclusion:Cathepsin B may serve as a marker for cholelithiasis, and has important guiding significance in cholelithiasis treatment.

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.

Objective To explore the prognostic value and immune effects of insulin-like growth factor family 2(IGFL2)in bladder cancer based on data from TCGA,TIMER2.0 and HPA.Methods Bioinformatics analysis was conducted to analyze the expression of IGFL2 in bladder cancer and its relationship with survival and prognosis of bladder cancer patients.The receiver operating characteristic(ROC)curve and prognostic nomogram were plotted to analyze the diagnostic value of IGFL2 for bladder cancer and its ability to predict the 5-year overall survival rate of patients.IGFL2-related signaling pathways were analyzed with GSEA enrichment.The correlation between IGFL2 expression and immune cells was analyzed based on data from the TIMER database.Results IGFL2 was highly expressed in bladder cancer(P＜0.001).The high expression of IGFL2 was positively correlated with patients'age,pathological stage,histological grade and T stage(all P＜0.05).Patients'with high IGFL2 expression had shorter overall survival and disease-specific survival than those with low IGFL2 expression(all P＜0.05).IGFL2 could be used as an independent prognostic factor for bladder cancer with good diagnostic and predictive value.GSEA enrichment analysis showed that IGFL2 was involved in signaling pathways related to immunity,inflammation and tumor.High IGFL2 expression was positively correlated with the infiltration of most immune cells.Conclusion IGFL2 is highly expressed in bladder cancer and can be a biomarker for the diagnosis and prognosis of this disease.It may become a potential target for immunotherapy.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

Aim Mouse model of myocardial hypertro-phy was established via intraperitoneal injection of iso-proterenol(ISO)in mice.This approach allows for an in-depth investigation into the pharmacological effects and mechanisms of action of emodin,offering novel in-sights and directions for the improvement of myocardial hypertrophy.Methods The mice were randomly di-vided into the following groups:control group(CON),emodin group(EMO),MAPK activator control group(EMO+Ani),model group(ISO),treatment group(ISO+EMO),and activator intervention group(ISO+EMO+Ani).After treatment with emodin and inter-vention with MAPK activator,the heart weight ratio and cardiac size of each group were observed.Hematoxy-lin-eosin(HE)staining was used to observe the patho-logical changes in cardiac tissue,and kits were utilized to measure the levels of GSH,LDH,and MDA in the serum.Western blot was employed to detect the protein expression levels of inflammatory and oxidative factors,as well as p-p38,p-ERK,p38,and ERK in cardiac tis-sue.Results Emodin can significantly inhibit the production of myocardial inflammatory and oxidative factors induced by ISO,thereby effectively alleviating the degree of myocardial hypertrophy and fibrosis.Af-ter the p38/ERK signaling pathway was specifically ac-tivated by farnesol,the improvement effect of emodin on myocardial hypertrophy was weakened.Further comparison revealed that,compared with the myocardi-al hypertrophy pathological model group,the pathologi-cal protein expression levels in the farnesol-treated group showed no significant difference,and were even higher in some indicators.Conclusion Emodin can effectively inhibit the release of inflammatory factors and improve the state of oxidative stress by modulating the p38/ERK signaling pathway,thereby exerting an ameliorative effect on myocardial hypertrophy.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective: To prepare hollow mesoporous silicon nanoparticles ( HMSNs) loaded with allicin—diallyl trisulfide (DATS) , and to study their feasibility as a therapeutic agent for ischemic injury of lower limbs . Methods: HMSNs were synthesized by selective etching , and their microstructure was observed by scanning and transmis- sion electron microscopy. Their physical and chemical properties were analyzed by X-ray diffraction and dynamic light scattering (DLS) . Their biological safety was tested by erythrocyte hemolysis and cytotoxicity experiments . DATS was loaded into HMSNs by adsorption to obtain DATS sustained release nanoparticles (DATS-HMSNs) , and the cumulative release curve of DATS was calculated and produced by ultraviolet spectrophotometry. C57BL/6 mice were randomly divided into four groups (sham operation group , normal saline group , DATS group , and DATS-HM- SNs group) . Lower limb ischemia models were made by femoral artery ligation and resection . The exercise ability and the contents of tumor necrosis factor alpha (TNF-α ) , interleukin-6 (IL-6) , monocyte chemoattractant protein- 1 (MCP-1) , reactive oxygen species (ROS) , platelet-endothelial cell adhesion molecule (CD31) , alpha smooth muscle actin ( α-SMA) , basic fibroblast growth factor (bFGF) and vascular endothelial growth factor (VEGF) in muscles of mice in each group before and after limb ischemia were tested . Results : Scanning and transmission e- lectron microscope observation showed that the prepared HMSNs were hollow , spherical and uniform in particle size . DLS results showed that the particle size was (226. 5 ± 11 . 8) nm. The results of red blood cell hemolysis test and cytotoxicity test showed that HMSNs had good biocompatibility. The maximum drug loading rate of HMSNs on DATS was 27. 89% , the cumulative release rate of DATS in 7 days was about 80. 12% , and could reach 97. 27% in 21 days . Compared with the control group , after DATS-HMSNs were applied to mice with lower limb ischemia , immunohistochemical staining showed that the levels of CD31 , α-SMA , bFGF and VEGF increased ( P < 0. 05) . Elisa test showed that the levels of TNF-α , IL-6 , MCP-1 and ROS decreased (P < 0. 05) , and the exercise ability of mice recovered satisfactorily after ischemia. Conclusion DATS-HMSNs can release DATS slowly and continu- ously , providing protection against ischemic injury of lower limbs .

Objective To design a custom 3D printed monoblock acetabular implant for reconstructing PaproskyⅢA acetabular bone defects and to analyze the stress distribution,displacement,and clinical reliability of the implant and surrounding bone using finite element analysis(FEA).Methods Bilateral hip computed tomography(CT)data of a patient with PaproskyⅢA acetabular bone defects were collected.Models were developed and analyzed using Mimics Medical 21.0,Geomagic Wrap 2021,Solidworks 2023,and ANSYS Workbench 2022 R1 softwares.The biomechanical performance of the custom 3D printed monoblock acetabular implant was simulated under a single-leg stance condition.Results The peak von Mises stress of the hip components was observed at the femoral stem,measuring 67.318 MPa.For the custom 3D printeded monoblock acetabular implant,the peak stress was located at the anterosuperior contact area between the implant and acetabular bone,measuring 6.935 MPa.The femoral stem exhibited a peak stress of 67.318 MPa at its junction with the femoral head.The liner's peak stress was 1.333 MPa near the fixation of screw 9 at the superior part of the acetabular cup.The screws showed a peak stress of 2.215 MPa at the junction with the implant.For the cortical bone,the peak stress was 9.844 MPa at the distal femur,while the cancellous bone exhibited a peak stress of 0.701 MPa at its distal connection with the femoral stem.The pelvic bone's peak stress was 8.002 MPa at the anterior transition zone between the normal acetabulum and the defect.The peak micromotion of the custom 3D printed monoblock acetabular implant at its posterosuperior area,measuring 0.114 mm.The femoral stem and head exhibited a peak micromotion of 0.132 mm at the contact interface with the acetabular liner.The micromotion range at the implant-acetabular bone interface was 0.098 mm to 0.131 mm.Conclusion Under a simulated single-leg stance condition,the stress distribution in all components and the acetabular bone surface remains below their respective yield strengths.The micromotion threshold between the acetabular cup and acetabular bone is within acceptable limits.Biomechanical analysis indicates that the patient can perform early weight-bearing rehabilitation postoperatively.However,walking or jogging rehabilitation should be approached with caution.