Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

OBJECTIVE To analyze the non-genetic risk factors for severe cutaneous adverse reactions （SCARs） related to antiepileptic drugs （AEDs） in HLA-B*15：02 negative patients， and provide a basis for clinical precision medication. METHODS A retrospective case-control design was used to include patients who underwent HLA-B*15：02 testing at our hospital from January 2022 to December 2024. Patients were divided into SCARs group （15 cases who were HLA-B*15：02 negative and diagnosed with SCARs） and control group （38 cases who were HLA-B*15：02 negative and used AEDs）. Risk factors were evaluated using univariate analysis and a multivariable Firth penalty likelihood logistic regression model （Firth regression）， and Benjamin-Hochberg false discovery rate （FDR） and Firth regression were used for correction， and sensitivity analysis was used to quantify the impact of potential biases in carbamazepine exposure rates in the control group on the results. RESULTS Univariate analysis showed that age≥50 years， use of carbamazepine， and combination use of antibiotics/antiviral drugs were risk factors for developing AEDs- related SCARs （OR＝18.15， 7.54， 13.46， 95%CI of 4.13-79.84， 1.89-30.08， 1.36-133.18， all P＜0.05）， while taking lamotrigine was a protective factor [OR＝0.10， 95%CI of 0.02-0.39， P＜0.05]. After FDR correction， the above factors still maintained statistical significance （P＜0.05）. The results of multivariate analysis showed that age≥50 years [adjusted OR＝16.27， 95%CI of 3.98-66.55， P＜0.001] and taking carbamazepine [adjusted OR＝7.11， 95%CI of 1.82-27.85， P＝0.005] were independent risk factors for the occurrence of SCARs-related AEDs. The results of sensitivity analysis showed that the adjusted risk OR range for taking carbamazepine was between 14.2 and 28.4. CONCLUSIONS Age≥50 years and use of carbamazepine are independent non- genetic risk factors for the development of SCARs-related AEDs in HLA-B*15：02 negative patients. It is recommended that elderly patients should prioritize the use of AEDs other than carbamazepine.

Objective:To investigate the diagnostic and prognostic value of systemic immune inflammatory index (SII) for severe traumatic brain injury secondary to acute lung injury (sTBI-ALI).Methods:A retrospective study was conducted on patients with severe traumatic brain injury admitted to the trauma center of the First Affiliated Hospital of Soochow University from January 2021 to November 2023. Patients received standard treatments including hemostasis and intracranial pressure management. Vital signs and blood routine data were collected upon admission. Patients were categorized into sTBI group and sTBI-ALI group based on established clinical diagnostic criteria for ALI to evaluate the diagnostic utility of SII. Subsequently, within the sTBI-ALI group, patients were stratified into survival and non-survival groups based on their 30-day outcomes to assess the prognostic value of SII.Results:A total of 260 sTBI patients were enrolled, of whom 113 developed ALI. Among the sTBI-ALI patients, 73 survived at 30 days. Compared to the sTBI group, the sTBI-ALI group exhibited significantly higher respiratory rates, heart rates, white blood cell counts, neutrophil counts, platelet counts, and SII levels (all P<0.05). Multivariate logistic regression analysis showed that SII index ( OR=1.003, 95% CI: 1.002-1.004, P<0.001) was an independent risk factor for ALI development in sTBI patients. The combined predictive model incorporating SII and heart rate yielded an AUC of 0.801 (95% CI: 0.740-0.862). The non-survival group had significantly higher neutrophil counts and SII levels, and significantly lower Glasgow Coma Scale scores than the survival group (all P<0.05). Multifactorial regression analysis indicated that SII index ( OR=1.002, P=0.004, 95% CI: 1.000-1.003) served as an independent risk factor for 30-day mortality in sTBI-ALI patients. The combined predictive model of SII and GCS achieved an AUC of 0.904 (95% CI: 0.848-0.960). Conclusions:SII demonstrates potential as a biomarker for predicting the development of ALI following sTBI. Furthermore, incorporating SII into predictive models significantly enhances the ability to forecast mortality risk in sTBI-ALI patients.

Objective:To explore the risk factors related to delayed pleural effusion in multiple trauma patients.Methods:A retrospective cohort study was conducted to analyze the clinical data of 145 multiple trauma patients admitted to the First Affiliated Hospital of Soochow University from January 2022 to October 2023, including 99 males and 46 females, aged 18-81 years [56.0(46.5, 64.5)years]. Based on whether delayed pleural effusion developed after injury, the patients were divided into delayed pleural effusion group ( n=66) and non-delayed pleural effusion group ( n=79). The clinical data of the patients in both groups were collected, including gender, age, underlying disease (diabetes mellitus and hypertension), cause of injury (traffic injury, blow injury, fall from height, and others), comorbid injuries (traumatic brain injury, maxillofacial fracture, clavicular fracture, scapular fracture, sternal fracture, spinal fracture, multiple rib fracture, pneumothorax, lung contusion, and pelvic fracture), severity of injury [injury severity score (ISS) and abbreviated injury scale (AIS) score for the chest], location and number of rib fractures, vital signs at admission (body temperature, heart rate, respiration, systolic blood pressure, diastolic blood pressure), and clinical test indices [white blood cells (WBC), hemoglobin (Hb), platelets (PLT), total protein (TP), albumin (ALB), C-reactive protein (CRP), procalcitonin (PCT), fibrinogen (FIB), fibrin degradation product (FDP), D-dimer (D-D), aspartate transaminase (AST), alanine transferase (ALT), and creatinine (Cr)]. Univariate analysis was conducted to assess the correlation between the forementioned factors and the development of delayed pleural effusion after multiple traumas. Multivariate Logistic regression analysis was used to determine the independent risk factors for the development of delayed pleural effusion after multiple traumas. Results:The results of univariate analysis showed that multiple rib fracture, pneumothorax, pulmonary contusion, chest AIS score, posterior rib fracture, number of rib fractures, TP, ALB, CRP, PCT and FDP were correlated with delayed pleural effusion in multiple trauma patients ( P<0.05 or 0.01); whereas gender, age, underlying disease, cause of injury, sternal fracture, spinal fracture, clavicular fracture, scapular fracture, pelvic fracture, maxillofacial fracture, traumatic brain injury, anterior rib fracture, ISS, vital signs at admission, WBC, Hb, PLT, FIB, D-D, AST, ALT, and Cr were not correlated with delayed pleural effusion in multiple trauma patients ( P>0.05). The results of multivariate Logistic regression analysis revealed that lung contusion ( OR=3.96, 95% CI 1.59, 9.85, P<0.01), ALB ( OR=0.79, 95% CI 0.66, 0.94, P<0.01), and CRP ( OR=1.02, 95% CI 1.01, 1.03, P<0.01) were significantly correlated with delayed pleural effusion in multiple trauma patients. Conclusion:Lung contusion, ALB, and CRP are the independent risk factors for delayed pleural effusion in multiple trauma patients.

Objective To investigate the relationship between systemic immune-inflammation index (SII)and lower extremity vascular disease in patients with type 2 diabetes mellitus (T2DM).Methods A cross-sectional study was conducted on 390 T2DM patients admitted in our department from January 2013 to January 2024.According to the diagnostic criteria for lower extremity vascular disease in T2DM patients,they were divided into a lower extremity vascular disease group (n=158)and a control group (n=232).General data and results of laboratory tests were compared between the 2 groups.Spearman correlation analysis was used to identify the related factors for lower extremity vascular diseases in T2DM patients.The correlation between SII and lower extremity vascular diseases in T2DM patients was analyzed using the Row Mean Scores and Cochran-Armitage Trend analysis.Multivariate logistic regression analysis was applied to identify the risk factors for lower limb vascular lesions in T2DM patients.Receiver operating characteristic (ROC)curve was plotted to evaluate the diagnostic efficacy of SII for lower extremity vascular disease in the patients.Results Compared with T2DMpatients without lower extremity vascular disease,those with lower extremity vascular disease were older,had higher levels of total cholesterol (TC),low-density lipoprotein cholesterol (LDL-C),SII,larger proportion of carotid vascular lesions,and increased proportion of no-taking statins.The lower extremity vascular disease in T2DM patients was positively correlated with SII/100 (r=0.429,P<0.001),age (r=0.517,P<0.001),TC (r=0.161,P=0.001),LDL-C (r=0.117,P=0.021),carotid artery lesions (r=0.101,P=0.047),no-taking statins (r=0.266,P<0.001).Logistic regression analysis showed that SII,age,LDL-C,and no-taking statins were the risk factors for lower extremity vascular lesions in T2DM patients (P<0.01).The area under the curve (AUC)value of SII combined with age,LDL-C,and no-taking statins in predicting lower extremity vascular disease in T2DM patients was 0.896.Conclusion SII is not only a risk factor,but also a simple marker for lower extremity vascular disease in T2DM patients,suggesting that inflammatory response plays an important role in the occurrence and development of lower extremity vascular disease in T2DM.

Over-expression of glutathione S-transferase(GST)can promote Cisplatin resistance in hepatocellular carcinoma(HCC)treatment.Hence,inhibiting GST is an attractive strategy to improve Cisplatin sensi-tivity in HCC therapy.Although several synthesized GST inhibitors have been developed,the side effects and narrow spectrum for anticancer seriously limit their clinical application.Considering the abundance of natural compounds with anticancer activity,this study developed a rapid fluorescence technique to screen"green"natural GST inhibitors with high specificity.The fluorescence assay demonstrated that schisanlactone B(hereafter abbreviated as C1)isolated from Xue tong significantly down-regulated GST levels in Cisplatin-resistant HCC cells in vitro and in vivo.Importantly,C1 can selectively kill HCC cells from normal liver cells,effectively improving the therapeutic effect of Cisplatin on HCC mice by down-regulating GST expression.Considering the high GST levels in HCC patients,this compound demon-strated the high potential for sensitizing HCC therapy in clinical practice by down-regulating GST levels.

Background Bacteria are the most diverse and widely sourced microorganisms in the indoor air of subway stations, where pathogenic bacteria can spread through the air, leading to increased health risks. Objective To understand the status and distribution characteristics of indoor air bacterial pollution in subway stations and compartments in a city of Central South China, and to provide a scientific basis for formulating intervention measures to address indoor air bacteria pollution in subways. Methods Three subway stations and the compartments of trains parking there in a city in Central South China were selected according to passenger flow for synchronous air sampling and monitoring. Temperature, humidity, wind speed, carbon dioxide (CO₂), fine particulate matter (PM_2.5), and inhalable particulate matter (PM₁₀) were measured by direct reading method. In accordance with the requirements of Examination methods for public places-Part 3: Airborne microorganisms (GB/T 18204.3-2013), air samples were collected at a flow rate of 28.3 L·min⁻¹, and total bacterial count was estimated. Bacterial microbial species were identified with a mass spectrometer and pathogenic bacteria were distinguished from non-pathogenic bacteria according to the Catalogue of pathogenic microorganisms transmitted to human beings issued by National Health Commission. Kruskal-Wallis H test was used to compare the subway hygiene indicators in different regions and time periods, and Bonferroni test was used for pairwise comparison. Spearman correlation test was used to evaluate the correlation between CO₂ concentration and total bacterial count. Results The pass rates were 100.0% for airborne total bacteria count, PM_2.5, and PM₁₀ in the subway stations and train compartments, 94.4% for temperature and wind speed, 98.6% for CO₂, but 0% for humidity. The overall median (P₂₅, P₇₅) total bacteria count was 177 (138,262) CFU·m⁻³. Specifically, the total bacteria count was higher in station halls than in platforms, and higher during morning peak hours than during evening peak hours (P<0.05). A total of 874 strains and 82 species were identified by automatic microbial mass spectrometry. The results of identification were all over 9 points, and the predominant bacteria in the air were Micrococcus luteus (52.2%) and Staphylococcus hominis (9.8%). Three pathogens, Acinetobacter baumannii (0.3%), Corynebacterium striatum (0.1%), and Staphylococcus epidermidis bacilli (2.2%) were detected in 23 samples (2.6%), and the associated locations were mainly distributed in train compartments during evening rush hours. Conclusion The total bacteria count in indoor air varies by monitoring sites of subway stations and time periods, and there is a risk of opportunistic bacterial infection. Attention should be paid to cleaning and disinfection during peak passenger flow hours in all areas.

Objective To analyze the epidemiological distribution of new occupational pneumoconiosis (hereinafter referred to as "pneumoconiosis") in Guangxi Zhuang Autonomous Region from 2013 to 2022. Methods Data of newly diagnosed pneumoconiosis cases reported in Guangxi Zhuang Autonomous Region from 2013 to 2022 were collected, and epidemiological characteristics were analyzed using descriptive analysis method. Results A total of 972 newly diagnosed pneumoconiosis cases were reported in Guangxi Zhuang Autonomous Region from 2013 to 2022. Except for mica pneumoconiosis, 12 other types of pneumoconiosis were reported. Most of the cases were males, accounting for 97.0%. The diagnosis age of the cases of 40-<60 years old accounted for 77.4%, and the dust exposure age<30 years of the cases accounted for 96.4%. Silicosis was the most common type of pneumoconiosis, followed by coal workers' pneumoconiosis, accounting for 64.6% and 27.9%, respectively. The cases of stage Ⅰ, Ⅱ and Ⅲ pneumoconiosis accounted for 77.7%, 14.9% and 7.4%, respectively. The regional distribution was mostly in Hechi City, accounting for 51.9%. Industry distribution was more common in non-ferrous metal mining, coal mining and washing industry, accounting for 64.9% in total. Most cases were reported in private enterprises and small to medium-sized enterprises, accounting for 53.7% and 76.6% respectively. The most common occupations were coal miners and drillers, accounting for 47.7% in total. Conclusion Newly diagnosed pneumoconiosis cases in Guangxi Zhuang Autonomous Region show certain clustering characteristics in terms of disease type, region, enterprise characteristics, and occupation distribution. The prevention and treatment of pneumoconiosis in small and medium-sized private enterprises in key areas and key industries should be strengthened, especially for workers over 40 years old and with less than 30 years of dust exposure.