ObjectiveTo investigate whether anti-programmed death-1 （PD-1） monoclonal antibody can enhance the efficacy and safety of argon-helium cryoablation combined with targeted therapy in patients with unresectable hepatocellular carcinoma （uHCC） aged 60 years or older. MethodsA retrospective analysis was performed for the clinical data of 124 patients with advanced uHCC aged 60 years or older who were treated at The Fifth Medical Center of Chinese PLA General Hospital from January 2013 to September 2024. After propensity score matching， 57 patients received cryoablation combined with targeted therapy （double combination group）， while 57 received cryoablation combined with targeted therapy and anti-PD-1 monoclonal antibody （triple combination group）. The indicators for efficacy assessment included objective response rate （ORR）， disease control rate （DCR）， progression-free survival （PFS）， overall survival （OS）， and the incidence rate of adverse events. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. The Kaplan-Meier method was used to plot survival curves， and the Log-rank test was used for comparison between groups. A Cox proportional-hazards regression model analysis was used to investigate the influencing factors for survival prognosis. ResultsThe triple combination group had a significantly higher ORR than the double combination group （59.6% vs 29.8%， χ²=9.083， P=0.003）， while there was no significant difference in DCR between the two groups （87.7% vs 77.2%， χ²=1.516， P=0.218）， and compared with the double combination group， the triple combination group had significantly longer median PFS （9.1 months vs 4.8 months， χ²=7.813， P=0.005） and median OS （26.1 months vs 13.6 months， χ²=14.199， P<0.001）. The multivariate Cox proportional-hazards regression model analysis showed that triple combination treatment was an independent influencing factor for PFS （hazard ratio ［HR］=0.52， 95% confidence interval ［CI］： 0.35 — 0.78， P=0.001） and OS （HR=0.32， 95%CI： 0.20 — 0.51， P<0.001）. There was no significant difference in the incidence rate of adverse events between the two groups （P>0.05）. ConclusionTriple combination treatment with argon-helium cryoablation， targeted therapy， and anti-PD-1 monoclonal antibody can significantly improve survival benefits in uHCC patients aged 60 years or older， with a controllable safety profile.

ObjectiveTo construct a risk prediction model for frequent acute exacerbations of chronic obstructive pulmonary disease （COPD） under disease-syndrome combination， thus providing decision support for precise clinical intervention. MethodsA total of 2 029 patients with acute exacerbations of COPD admitted to the First Affiliated Hospital of Anhui University of Chinese Medicine from January 2020 to August 2024 were retrospectively included. These patients were classified into groups of frequent acute exacerbations （≥2 times/year） and infrequent acute exacerbations （<2 times/year） according to the hospitalization times per year. Risk factors were screened by LASSO regression combined with logistic regression， and a nomogram model was constructed. The model performance was assessed based on the area under the curve （AUC）， calibration curves， and decision curve analysis （DCA）. ResultsThe differences in baseline characteristics between the frequent acute exacerbations group （1 196 cases） and infrequent acute exacerbations group （833 cases） were not statistically significant. LASSO regression combined with multivariate logistic regression screened the following independent risk factors： body mass index （BMI）， hospitalization days， number of smoking years， place of residence， use of noninvasive ventilators， oxygen-demanding therapy， liver cirrhosis， use of systemic glucocorticosteroids， and traditional Chinese medicine syndrome （phlegm and stasis obstructing the lung）. The nomogram model showed good discrimination and calibration in both the training set （AUC=0.748） and validation set （AUC=0.774）. ConclusionThe risk prediction model for frequent acute exacerbations of COPD， integrating traditional Chinese medicine syndrome， constructed in this study has high accuracy. It can provide a scientific basis for early clinical identification of high-risk patients and individualized intervention.

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

In the era of intelligence and individualization, gastric cancer surgery is under-going multidimensional advancements. The authors focus on the cutting-edge progress and future challenges of artificial intelligence (AI) in the diagnosis and decision-making, treatment and drug development, as well as postoperative rehabilitation in gastric cancer surgery. In terms of diagnosis, AI integrates imaging, liquid biopsy, pathology, and multimodal technologies to enhance diagnostic comprehensiveness and accuracy. Regarding decision-making, AI assists in formulating personalized treatment plans, conducting risk assessments, and predicting prognoses. In the treatment domain, AI facilitates the advancement of individualized surgical approaches, supports postoperative follow-up, and aids in physician education and training. In drug development, the introduction of virtual cell models and AlphaFold has improved the efficiency and accuracy of mechanistic and clinical research. For postoperative rehabilitation guidance, AI provides personalized recommendations to optimize treatment outcomes.AI holds great promise in gastric cancer surgery across diagnosis and decision-making, treatment and drug development, and postoperative rehabilitation. However, current AI technologies face challenges such as data sharing and privacy protection, multicenter research and model generalization, human-machine collaboration, interpretability, ethical considerations, sustaina-bility, and widespread adoption. Addressing these challenges will require collective efforts to fully leverage AI′s advantages in gastric cancer diagnosis and treatment.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objective:To investigate the functional characteristics of the prefrontal cortex in patients with schizophrenia (SCZ) during resting state and analyze its association with clinical symptoms.Methods:Twenty-eight hospitalized patients with SCZ (SCZ group) were selected from November 2023 to May 2024, and 28 healthy controls (HC group) were recruited concurrently. By using functional near-infrared spectroscopy (fNIRS) technology, data on the concentration changes of oxygenated hemoglobin (HbO) and deoxygenated hemoglobin (HbR) in the prefrontal cortex during resting state were collected from all subjects to measure cortical hemodynamic activity. Regional activation values and functional connectivity (FC) values among brain areas were analyzed. Clinical symptoms in patients were assessed using the positive and negative syndrome scale (PANSS).SPSS 25.0 software was employed for statistical analysis. Between-group comparisons were performed using independent samples t-tests or Mann-Whitney U tests. Spearman correlation analysis and general linear regression models were applied to examine relationships between prefrontal cortical functional characteristics and clinical symptoms. Results:The levels of HbO in the right inferior frontal gyrus and left frontal pole area were significantly higher in the SCZ group (1.5 (1.0, 3.0)μmol/L, 1.0 (1.0, 2.8)μmol/L) than those in the HC group (-0.01 (-0.05, 0.02)μmol/L, -0.02 (-0.07, 0.03)μmol/L) ( Z=-6.46, -6.50, both P<0.01). The levels of HbR in the bilateral dorsolateral prefrontal cortex were significantly higher in the SCZ group (0.02 (-0.01, 0.07)μmol/L, 0.01 (-0.01, 0.03)μmol/L) than those in the HC group (-0.01 (-0.03, 0.01)μmol/L, -0.01 (-0.02, 0.01)μmol/L) ( Z=-2.46, -1.98, both P<0.05).The SCZ group showed significantly higher HbO-based FC values in the frontal pole-temporal pole (0.49±0.21) and temporal pole-dorsolateral prefrontal cortex (0.36±0.25) compared to the HC group (0.33±0.18, 0.15±0.19) ( t=3.02, 3.44, both P<0.01). Conversely, the SCZ group exhibited significantly lower HbR-based FC in the frontal pole-inferior frontal gyrus (0.15±0.13) and inferior frontal gyrus-temporal pole (0.27±0.37) compared to the HC group (0.33±0.26, 0.77±0.48) ( t=-3.17, -4.23, both P<0.01). Correlation analysis revealed that in the SCZ group, the level of HbO in the right inferior frontal gyrus was positively correlated with negative symptoms, positive symptoms, excitement/hostility, and PANSS total score ( r=0.45-0.64, all P<0.05), and the level of HbO in the left frontal pole area was positively correlated with excitement/hostility and PANSS total score ( r=0.57, 0.50, both P<0.01), while the FC value between the frontal pole and temporal pole areas showed a negative correlation with excitement/hostility ( r=-0.39, P<0.05). Regression analysis demonstrated that, the HbO concentration in the right inferior frontal gyrus significantly positively predicted PANSS total score, positive symptoms, and negative symptoms ( β=0.70, 0.64, 0.55, all P<0.01).The HbO concentration in the left frontal pole area significantly positively predicted excitement/hostility ( β=0.77, P<0.01).The frontal pole-temporal pole HbO-based FC significantly negatively predicted excitement/hostility scores ( β=-0.42, P<0.01). Conclusion:Patients with SCZ exhibit hyperactivation of localized prefrontal cortex brain regions and dysfunction of functional connectivity during resting state, which are significantly associated with core clinical symptoms including positive, negative, and excitement/hostility symptoms.

Aim To study the protective effect of the silibinin derivative Sil-1 on acute myocardial ischemia in SD rats and its mechanism of action.Methods Af-ter 18 hours of oxygen-glucose deprivation and treat-ment of H9c2 cells,the protective effect of Sil-1 on rat cardiomyocytes was examined.SD rats were treated 30 minutes before surgery,followed by 24 h ligation of the left anterior descending coronary artery.The cardiopro-tective effects of Sil-1 and its mechanisms for improving myocardial ischemic injury were investigated using pro-teomics technology.Results In vitro,compared with the control group,the activity of H9c2 cells in the mod-el group showed reduced cell viability,increased dead cells,elevated ROS and higher levels of LDH and in-flammatory cytokines TNF-α,IL-1β and IL-6 in the culture medium.Sil-1 could improve the above condi-tions to different degrees.In vivo,compared with the control group,rats in the model group showed signifi-cantly higher T waves on electrocardiogram,significant ischemic areas in the heart section,disorganized ar-rangement of cardiomyocytes,increased inflammatory factor infiltration and elevated CK,CK-MB,LDH and inflammatory factors TNF-α,IL-6 and IL-1β.Besides,NF-κB phosphorylation levels in myocardial tissue in-creased.Sil-1 improved the above conditions to varying degrees.The results of proteomics showed that 90 pro-teins were found between the control vs model group and the Sil-1 vs model group,and KEGG enrichment a-nalysis showed that MAPK,chemokines,VEGF and other signaling pathways were abundant.Western blot results showed that Sil-1 blocked the phosphorylation of ERK,JNK and p38 MAPK.Conclusions Sil-1 inhib-its the MAPK pathway by blocking the phosphorylation of JNK,ERK,and p38 MAPK,and achieves a protec-tive effect on rats with acute myocardial infarction.

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.