Objective: To systematically evaluate the performance of machine learning (ML) models in predicting non suicidal self injury (NSSI) behavior among adolescents, providing an evidence based foundation for the development of clinically applicable risk assessment tools. Methods: A comprehensive search was conducted in PubMed, Embase, Web of Science, CNKI, and Wanfang databases for relevant studies from their inception to July 21, 2025. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was used to evaluate the methodological quality of the included studies. Stata 18 software was used to calculate the area under the receiver operating characteristic curve (AUC) of the models, and publication bias assessment, sensitivity analysis, and Egger s test were performed. Results: The total of 12 studies (42 prediction models) involving 58 070 adolescents were included. There were 15 machine learning algorithms in total, among which Random Forest, Logistic Regression, XGBoost, and Support Vector Machines were the most frequently utilized. The most common predictors were gender (female), family function, depression, emotion regulation, and age. All 12 included studies exhibited a high risk of bias. The pooled AUC was 0.80 (95% CI =0.78-0.82), although heterogeneity was substantial ( I 2=95.8%, P <0.01). Sensitivity analysis confirmed the robustness of these findings (no overlap in 95% CI ), while Egger s test indicated the presence of publication bias ( P <0.05). Conclusions Machine learning demonstrates potential in the risk prediction of adolescent NSSI, but existing models have a high risk of bias. Future research should focus on improving methodological quality and optimizing model reliability through rigorous external validation.

Objective To optimize the extraction, separation and purification process of Actinoside E. Methods Single factor experiment combined with orthogonal test was used to determine the optimal extraction process of Actinoside E using its content as an index. The extracts were separated and purified by optimizing the chromatographic conditions of macroporous resin, silica gel and ODS column. Results 25 times amount of 55% ethanol with heating reflux at 95℃ for one hour were used as the optimal extraction process of Actinoside E. The optimum separation and purification process was as follows: D101 macroporous resin column was eluted with 7 BV of 50% ethanol, silica gel column was eluted with 5 BV of ethyl acetate-ethanol（10∶1）and 50% methanol eluted fraction was purified repeatedly by ODS column to obtain Actinoside E. The transfer rate of Actinoside E in the whole process was 53.70%, the yield was 0.35%, and the purity was 99.9%. Conclusion The process is stable and viable, which can provide material foundation for the development and utilization of Actinoside E.

Objective To investigate the detection rate of non-alcoholic fatty liver disease (NAFLD) and influencing factors in the elderly population undergoing physical examination in Nanjing. Methods People who participated in the elderly physical examination in Nanjing from 2018 to 2023 were selected as the study subjects according to the inclusion and exclusion criteria. Basic information and physical examination results were collected. The t-test and Chi-square test were used to compare the detection status of NAFLD in different characteristic populations, and multivariate logistic regression model was used to analyze influencing factors of NAFLD. Results A total of 41 066 people were included in the study, with a detection rate of 39.55%. The detection rate in males (24.12%) was significantly lower than that in females (49.75%) (χ² = 2702.442, P<0.001). Trend χ² test results showed that the detection rate of NAFLD increased gradually with BMI (χ²_trend = 4084.414, P_trend < 0.001). Multivariate logistic regression analysis showed that female (OR = 3.055, 95% CI : 2.911-3.206), primary school or below (OR = 1.075, 95% CI : 1.009-1.146), unmarried (OR = 1.107, 95% CI : 1.039-1.179), BMI (18.5kg/m²-23.9 kg/m²: OR = 4.876, 95% CI :3.340-7.119; 24.0 kg/m²-27.9 kg/m²: OR = 15.324, 95% CI : 10.503-22.358; ≥28.0 kg/m²: OR = 37.433, 95% CI : 25.591-54.753), hypertension (OR = 1.095, 95% CI : 1.040-1.153), diabetes mellitus (OR = 1.317, 95% CI :1.250-1.387), and dyslipidemia (OR = 1.574, 95% CI : 1.501-1.652) were risk factors for NAFLD (all P<0.05). Conclusion The detection rate of NAFLD in the elderly population undergoing physical examinations in Nanjing is relatively high. Women, unmarried people, people with low education, overweight and obesity, and people with hypertension, diabetes, and dyslipidemia are the high-risk groups.

Background/Aims: The pathophysiology of refractory gastroesophageal reflux disease (RGERD), which differs from proton pump inhibitor dependent gastroesophageal reflux disease (DGERD), remains incompletely elucidated. This study aims to compare esophageal motility patterns, transdiaphragmatic pressure gradients (TPG), and reflux profiles between RGERD and DGERD patients, and to delineate dynamic pressure gradient-esophagogastric junction (EGJ) interactions in these patients. Methods: In this retrospective study, 274 patients who underwent 24-hour impedance-pH monitoring and high-resolution manometry, along with an assessment of proton pump inhibitor responsiveness, were classified as RGERD (32.5%), DGERD (54.4%), or non-GERD (13.1%). Clinical characteristics, TPG, esophageal motility, and reflux metrics were compared between RGERD and DGERD patients. Subgroup analysis excluding hiatal hernia (HH) was conducted to investigate the pathophysiology of RGERD. Results: The RGERD group exhibited a significantly higher proportion of chest pain compared to the DGERD group. Regarding reflux profiles, RGERD patients without HH (RGERDHH- group) experienced increased weakly acidic reflux (P < 0.001) and prolonged bolus exposure (P = 0.006) compared to their counterparts (DGERDHH- group). Mechanistically, the RGERDHH- group showed reduced lower esophageal sphincter basal pressure (P = 0.010) and EGJ contractile integral (P = 0.005). Notably, following a wet-swallow, the RGERDHH- group experienced the significant elevation in gastric pressure and TPG. Correlation analyses revealed weakly acidic reflux and bolus exposure were positively correlated with gastric pressure variation, and inversely correlated with lower esophageal sphincter basal pressure. Conclusions Transient gastric pressure elevation and compromised EGJ barrier function drive weakly acidic reflux and esophageal bolus exposure. This pressure gradient-barrier mismatch underpins the refractoriness of RGERD.

Objective: To investigate the molecular mechanism of Syk in phagocytosis induced by CD36 antibodies. Methods: In vitro, two CD36 monoclonal antibodies, GZ1 (IgG2a) and GZ4 (IgG1), at different concentrations were co-incubated with platelets from CD36-positive blood donors, and the affinity of the antibodies for platelets was assessed using flow cytometry. CD36 positive platelets from donors were labeled with Red-SE. The GZ1 and GZ4 antibodies were added together with dye-labeled platelets to peripheral blood from blood donors for phagocytosis experiments. The expression of the Spleen Tyrosine Kinase (Syk), P-Syk, P38 MAPK and P-P38 were detected using Western blot(WB). In the in vitro phagocytosis inhibition assay, Fcγ receptor (FcγR) antibodies or Syk inhibitor (R406) were pre-incubated with monocytes prior to performing the phagocytosis experiment. In vivo experiments were performed using female C57BL/6J mice. R406 was administered via intraperitoneal injection, followed by tail vein infusion of GZ1 or GZ4 antibodies. Additionally, a treatment group was set up in which the antibodies were infused first, followed by administration of R406. Changes in platelet counts were analyzed using a blood routine analyzer, and antibody binding to platelets was detected by flow cytometry. Results: GZ1 had higher affinity for CD36positive platelets than GZ4. The phagocytosis rate induced by GZ1 was significantly higher than that of GZ4 [(42.12±2.25)% vs (16.25±6.45)%, P<0.001]. Moreover, GZ1-mediated platelet phagocytosis mainly depends on FcγRⅠ of monocytes, while GZ4-mediated platelet phagocytosis mainly relies on FcγRⅡ of monocytes. WB results showed that the GZ1 group significantly upregulated the expression of Syk and phosphorylated Syk (P-Syk), and induced phosphorylation of the downstream P38 MAPK signaling pathway. Pretreatment of monocytes with R406 inhibited the phagocytosis of antibodyopsonized platelets by monocytes. After injecting GZ1 or GZ4 antibodies into C57BL/6 female mice through the tail vein, GZ1 mAbs had a stronger binding rate to the platelets compared with GZ4 mAbs, leading to a significant decrease in platelet count. After pre-injecting R406 into mice, the platelet count reduction in both the GZ1 and GZ4 groups was alleviated, and the binding rate of antibodies to platelets was also significantly reduced. However, administration of R406 after antibody injection failed to prevent the decrease in platelet counts in mice. Conclusion: This study indicates that Syk plays an important role in the phagocytosis of anti-CD36 opsonized platelets by monocytes/macrophages and is closely associated with the activation of the P38 MAPK signaling pathway.

Objective: To systematically evaluate the application effectiveness of the full disinfection process in blood stations, identify key optimization links, and provide a scientific evidence for the formulation of specialized disinfection and hygiene standards for blood collection and supply institutions. Methods: On-site microbiological monitoring was conducted using techniques such as the plate settling method and cotton swab method. Stratified random sampling was performed on eight key control points: including evironmental air, hand hygiene, skin disinfection, blood transport boxes, pressure steam sterilization, sewage treatment, ultraviolet disinfection, and sterile swabs. Statistical analysis was performed using SPSS 20.0. Measurement data were expressed as mean ± standard deviation(x-±s), and inter-group comparisons were conducted using t-tests or analysis of variance (ANOVA). Count data were expressed as rates, and inter-group comparisons were conducted using the χ test. Trend analysis was performed using the Cochran-Armitage test, with a significance level of α=0.05. Results: The colony removal rate of plasma air disinfection machines (94.2%±0.8%) was significantly higher than that of the ultraviolet group (P<0.05). The qualification rate of quick-drying disinfectant hand was 100% within 30 days after opening the bottle, but decreased to 93.3% after 40 days (P<0.01). The qualification rate of disinfection for blood transport boxes using 500 mg/L chlorine-containing disinfectant (100%) was significant higher 75% alcohol (60%, P< 0.05). Skin disinfection with 2% alcoholic chlorhexidine gluconate balanced effectiveness and user experience (satisfaction score 4.8±0.3). The qualification rates for core procedures such as pressure steam sterilization and sewage treatment were both 100%. Conclusion: The current disinfection procedures in blood collection and supply institutions are reliable. The effective usage period of hand disinfectants, disinfection methods for transport boxes, and usage duration of sterile swabs are the main points for optimization. It is recommended that the opened hand disinfectants be used for ≤30 days and that chlorine-containing disinfectants be prioritized for wiping transport boxes, providing empirical support for the revision of protocols and the formulation of standards.

Objective:To establish a mouse model of liver cancer resistant to PD-1 monoclonal antibody and analyze the changes in its metabolomics to explore the potential mechanism of drug resistance.Methods:BALB/c mice were randomly divided into control and treatment groups after being loaded with tumor,and a normal group was additionally set up.The normal and control groups were injected with saline,and the treatment group was injected with PD-1 monoclonal antibody,after which the mice in the treatment group were screened for drug resistant and response groups.Observed the drug-resistant situation,body mass,tumor growth and survival rate of mice in each group,calculate the spleen index.The pathological features of tumor tissues were observed by HE staining method.Serum metabolites were detected by non-targeted metabolomics.Finally,a bivariate Pearson correlation analysis was conducted between the differential serum metabolites and tumor size.Results:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established,and the drug resistance rate of the mice was 50％.Compared with the normal and response groups,mice in the resistant group showed an increase in body weight,a significant increase in tumor volume,a decrease in survival rate,and a significant increase in splenic index.There was less lymphocyte infiltration in the tumor tissue.Metabolomics analysis showed that the serum levels of glutamic acid and aspartic acid increased and malic acid decreased in the resistant mice compared with the response group,and these changes were closely related to the arginine biosynthesis pathway.Conclusions:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established.The changes in its peripheral serum metabolomics mainly involve arginine metabolism and the related changes of aspartate,malate and glutamate.

This study investigated the potential pathogenicity and genetic characteristics of ST314 Salmonella Kentucky(S.Ken-tucky)isolates from a broiler slaughterhouse.Antimicrobial susceptibility testing and whole-genome sequencing(WGS)were used to determine antimicrobial resistance,virulence factors,and the presence of antimicrobial resistance genes(ARGs)and mobile genetic elements(MGEs)among the isolates.The three multidrug resistant(MDR)isolates exhibited high resistance to multiple antimicrobial agents.The F4-2S strain exhibited resistance to 14 drugs across seven categories,whereas the F4T strain showed resistance to 13 drugs in the same number of categories.In contrast,the Y23 strain was resistant to nine drugs in six categories.Notably,F4-2S dem-onstrated high homology with F4T:both possessed 13 ARGs distributed across nine categories,in addition to a wide range of virulence factors,including secretion systems and effector proteins.The presence of IncR and IncX1 plasmids significantly enhanced both the antimicrobial resistance and pathogenicity of the isolates.The genome map of Y23 revealed a chromosome alongside two plasmids.The chromosome containedonly one resistance gene but several virulence factors,including the type III secretion system(T3SS),which is crucial for bacterial invasion.The plasmid pY23-1 contained eight types of 19 ARGs.Comparative analysis indicated that pY23-1 ex-hibited high homology with pZ1323SSL0055 and pSAL-045,all of which contained multiple ARGs,thus suggesting critical roles of these genes in the evolution of bacterial resistance.In conclusion,ST314 S.Kentucky demonstrated a complex mechanism of resis-tance coupled with significant pathogenic potential.The ARGs and MGEs in the plasmid contributed to the emergence and dissemina-tion of antimicrobial resistance.The multiple virulence factors present in the chromosome may be key factors driving the increasing virulence of ST314 S.Kentucky.

Objective To explore the application value of CT combined with peripheral blood eosinophils(EOS)for distinguishing eosinophilic asthma(EA)from eosinophilic bronchitis(EB).Methods The clinical characteristics,peripheral blood EOS detection and imaging features of 523 patients(328 cases of EA and 195 cases of EB)were retrospectively analyzed.Univariate analysis identi-fied statistically significant parameters,which were further utilized in binary logistic regression to construct an imaging model and a combined model incorporating clinical characteristics,peripheral blood EOS and imaging features.Receiver operating characteristic(ROC)curves were plotted to evaluate the performance of each model.Results Statistically significant differences were observed between the two groups in age,body mass index(BMI),peripheral blood EOS count,peripheral blood EOS percentage,and 11 ima-ging features,including bilateral lung,bronchial wall thickening and bronchial mucus plugs(P＜0.05).The area under the curve(AUC)of the imaging model and the combined model were 0.891 and 0.918,respectively.Conclusion The combined application of CT and peripheral blood EOS detection can improve the efficiency,simplicity,and accessibility of distinguishing EA from EB.

Objective:This study employs a combination of single-cell sequencing and Mendelian randomization to explore the genetic associations and molecular mechanisms of Eomes in RCC.Methods:In this study,single-cell transcriptomic data from RCC tissues and adjacent normal tissues were extracted from the GEO database.The data were analyzed using R language and various packages such as Seurat,limma,and CellChat for cell cluster annotation,intercellular communication analysis,and differential expression analysis.Additionally,eQTL data related to differentially expressed genes were retrieved from the GWAS database as exposure variables,with RCC used as the outcome variable in Mendelian randomization analysis to identify the role of Eomes in RCC.Finally,GO functional enrichment and KEGG pathway analyses were conducted to explore the potential molecular mechanisms of Eomes.Results:Single-cell RNA sequencing revealed that B cells play a significant role in the heterogeneity of RCC.Mendelian randomization analysis indicated that Eomes is an important risk factor for RCC(P＜0.05).Furthermore,seven highly correlated specific SNPs were identified,including rs 17021298,rs2247056,rs2617170,rs3806624,rs55908509,rs6590334,and rs9420589.GO and KEGG enrichment analyses suggest that Eomes may be involved in early cell fate determination in renal cell carcinoma and participate in the regulation of Th1 and Th2 cell differentiation,HPV infection,and the Notch signaling pathway.Conclusions:This study is the first to combine single-cell sequencing and Mendelian randomization analysis in RCC,confirming a strong positive causal relationship between Eomes and RCC(OR＞1).Our findings offer new insights into the pathogenesis of RCC,suggesting that Eomes could serve as a novel target for early diagnosis and personalized treatment of RCC.