Objective To explore a method for rapid and differential diagnosis of rejection after kidney transplantation through urine hyperspectral imaging technology. Methods Hyperspectral data information from urine samples of 118 recipients after kidney transplantation was collected, and a deep learning model was constructed to diagnose and classify the types of rejection. Results A deep learning diagnostic model based on the 34-layer residual network (ResNet-34) was constructed, and 118 patients were included and divided into the training set and the test set. Based on the pathological results of the transplanted kidney puncture, the urine samples of the patients were classified into five groups: the non-rejection group, the T-cell-mediated rejection group, the antibody-mediated rejection group, the mixed rejection group and the nephropathy recurrence group. The results showed that the diagnostic sensitivities of the model for the above five groups were 0.960, 0.980, 0.930, 0.940 and 0.943 respectively, and the diagnostic specificities were 0.983, 0.993, 0.997, 0.989 and 0.989 respectively. The overall diagnostic accuracy rate reached 95.7%. Conclusions The study provides a non-invasive, rapid and accurate auxiliary diagnostic method for the differential diagnosis of rejection after kidney transplantation.

Objective: To explore the association between takeout fast foods and sugar sweetened beverage consumption with co-occurrence of anxiety and depressive symptoms among first year junior high school students in Yunnan Province, so as to provide theoretical basis for the prevention of anxiety and depressive symptoms co-occurrence among adolescents. Methods: A random cluster sampling involving 8 500 first year junior high school students in 11 counties in Yunnan Province was conducted by a questionnaire survey from October to December 2022. The Depression Anxiety Stress Scale-21 (DASS-21) was applied to assess anxiety and depressive symptoms in first year junior high school students. Chi-square test was used to compare the anxiety-depression co-occurrence symptoms of first year junior high school students with different demographic characteristics. The association between takeout fast foods and sugar sweetened beverage consumption with co-occurrence of anxiety and depressive symptoms of adolescents was analyzed by binary Logistic regression models. Results: The detection rate of co-occurrence of anxiety and depression symptoms among first year junior high school students in Yunnan Province was 26.92%. After controlling for demographic variables and other confounders, takeout fast foods and sugar sweetened beverage consumption( OR=1.50, 95%CI =1.27-1.77) was associated with anxiety-depression co-occurrence symptoms among first year junior high school students in Yunnan Province ( P <0.01). Stratified analysis showed that both Han ( OR=1.37, 95%CI =1.07-1.77) and ethnic minorities ( OR=1.60, 95%CI =1.29-2.00) exhibited statistically significant associations between takeout fast foods and sugar sweetened beverage consumption with co-occurrence of anxiety and depressive symptoms(both P <0.05). Conclusions Takeout fast foods and sugar sweetened beverage consumption increases the risk of co-occurrence of anxiety and depressive symptoms among first year junior high school students in Yunnan Province. It is recommended to strengthen guidance on the consumption of such products among junior high school students to prevent co-occurrence of anxiety and depressive symptoms.

BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

Background: The tight junction protein claudin18.2 (CLDN18.2) has been implicated in poor prognosis and suboptimal immunotherapy response in gastric cancer (GC). This study investigates the clinicopathological relevance of CLDN18.2 expression and its association with molecular subtypes in GC patients from a high-incidence region, combining transcriptomic and proteomic approaches to explore how CLDN18.2 contributes to progression and metastasis. Methods: A retrospective cohort of 494 GC patients (2019–2024) underwent immunohistochemical analysis for CLDN18.2, Epstein-Barr virus (Epstein–Barr virus–encoded RNA), p53, human epidermal growth factor receptor 2 (HER2), and mismatch repair proteins (MLH1, MSH2, PMS2, and MSH6). CLDN18.2 positivity was defined as moderate to strong (2+/3+) membranous staining in ≥75% of tumor cells. Clinicopathological correlations, biomarker associations, and survival outcomes were evaluated. Transcriptomic and proteomic sequencing was performed to explore molecular mechanisms. Results: CLDN18.2 positivity was observed in 26.9% (133/494) of gastric adenocarcinomas. CLDN18.2-positive tumors correlated with TNM stage (p = .003) and shorter overall survival (p = .018). No associations were identified with age, sex, HER2 status, microsatellite instability, or Epstein-Barr virus infection. Transcriptomic profiling revealed CLDN18.2-high tumors enriched in pathways involving cell junction disruption, signaling regulation, and immune modulation. Proteomic profiling showed that tumors with high CLDN18.2 were enriched in multiple mechanism-related pathways such as integrated metabolic reprogramming, cytoskeletal recombination, immune microenvironment dysregulation, and pro-survival signaling. These mechanisms may collectively contribute to tumor progression and metastasis. Conclusions CLDN18.2 overexpression is associated with poor prognosis in GC patients. Transcriptomic and proteomic analyses demonstrate that CLDN18.2 promotes tumor progression and metastasis, underscoring its potential as an independent prognostic factor in regions with a high incidence of GC.

Lung cancer constitutes the most prevalent and lethal malignant tumor in China. Approximately 85% of lung cancer diagnoses correspond to the non-small cell histological subtype [non-small cell lung cancer (NSCLC)]. Despite surgery being the mainstay for early-stage disease, postoperative recurrence remains high and adjuvant chemotherapy offers limited benefit. In recent years, targeted therapy has demonstrated substantial advantages in driver mutation-positive NSCLC. To this end, the Lung Cancer Medical Education Committee of the Chinese Medical Education Association developed guidelines based on a systematic review of evidence through November 2025, using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach and a modified Delphi method. Focusing on epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK), and addressing ROS proto-oncogene 1 (ROS1), B-Raf proto-oncogene serine/threonine kinase (BRAF) V600E mutation, and mesenchymal-epithelial transition factor (MET) exon 14 (METex14) skipping, the guideline covers molecular testing, neoadjuvant/adjuvant therapy, perioperative strategies, minimal residual disease monitoring, and postoperative surveillance. It defines testing requirements, specifies stage-directed and subtype-specific treatments, and standardizes minimal residual disease monitoring. These recommendations emphasize precision and feasibility to improve survival and quality of life.

ObjectiveTo explore the pharmacological mechanism involved in the treatment of allergic cough （AC） by Xiaoer Huatan Zhike granules （XEHT） based on proteomics and network pharmacology. MethodsAfter sensitization by intraperitoneal injection of 1 mL suspension containing 2 mg ovalbumin （OVA） and 100 mg aluminum hydroxide， a guinea pig model of allergic cough was constructed by nebulization with 1% OVA. The modeled guinea pigs were randomized into the model， low-， medium- and high-dose （1， 5， 20 g·kg^-1， respectively） XEHT， and sodium montelukast （1 mg·kg^-1） groups （n=6）， and another 6 guinea pigs were selected as the blank group. The guinea pigs in drug administration groups were administrated with the corresponding drugs by gavage， and those in the blank and model groups received the same volume of normal saline by gavage， 1 time·d^-1. After 10 consecutive days of drug administration， the guinea pigs were stimulated by 1% OVA nebulization， and the coughs were observed. The pathological changes in the lung tissue were observed by hematoxylin-eosin staining. The enzyme-linked immunosorbent assay was performed to measure the levels of C-reactive protein （CRP）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， superoxide dismutase （SOD）， and malondialdehyde （MDA） in the bronchoalveolar lavage fluid （BALF） and immunoglobulin G （IgG） and immunoglobulin A （IgA） in the serum. Immunohistochemistry （IHC） was employed to observe the expression of IL-6 and TNF-α in the lung tissue. Transmission electron microscopy was employed observe the alveolar type Ⅱ epithelial cell ultrastructure. Real-time PCR was employed to determine the mRNA levels of IL-6， interleukin-1β （IL-1β）， and TNF-α in the lung tissue. Label-free proteomics was used to detect the differential proteins among groups. Network pharmacology was used to predict the targets of XEHT in treating AC. The Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis was performed to search for the same pathways from the results of proteomics and network pharmacology. ResultsCompared with the blank group， the model group showed increased coughs （P<0.01）， elevated levels of CRP， TNF-α， IL-6， and MDA and lowered level of SOD in the BALF （P<0.05， P<0.01）， elevated levels of IgA and IgG in the serum （P<0.05， P<0.01）， congestion of the lung tissue and infiltration of inflammatory cells， increased expression of IL-6 and TNF-α （P<0.01）， large areas of low electron density edema in type Ⅱ epithelial cells， obvious swelling and vacuolization of the organelles， karyopyknosis or sparse and dissolved chromatin， and up-regulated mRNA levels of IL-6， IL-1β， and TNF-α （P<0.01）. Compared with the model group， the drug administration groups showed reduced coughs （P<0.01）， lowered levels of CRP， TNF-α， IL-6， and MDA and elevated level of SOD in the BALF （P<0.05， P<0.01）， alleviated lung tissue congestion， inflammatory cell infiltration， and type Ⅱ epithelial cell injury， and decreased expression of IL-6 and TNF-α （P<0.01）. In addition， the medium-dose XEHT group and the montelukast sodium group showcased lowered serum levels of IgA and IgG （P<0.05， P<0.01）. The medium- and high-dose XEHT groups and the montelukast sodium showed down-regulated mRNA levels of IL-6， IL-1β， and TNF-α and the low-dose XEHT group showed down-regulated mRNA levels of IL-6 and TNF-α （P<0.05， P<0.01）. Phospholipase D， mammalian target of rapamycin （mTOR）， and epidermal growth factor receptor family of receptor tyrosine kinase （ErbB） signaling pathways were the common pathways predicted by both proteomics and network pharmacology. ConclusionProteomics combined with network pharmacology reveal that XEHT can ameliorate AC by regulating the phospholipase D， mTOR， and ErbB signaling pathways.

ObjectiveTo investigate the effects of artemisinin （ART） on histopathological damage and salivary secretion in the submandibular gland （SMG） of mice with Sjögren's syndrome （SS） model，and on the expression of aquaporin 5 （AQP5） in SMG cells. MethodsThe NOD/Ltj mice were used as a model of SS and randomly divided into the SS model group，the ART group，and the hydroxychloroquine sulfate （HCQ） group，with six mice per group. Another 6 female BALB/c mice at the same week were selected as the control group. Mice in the ART group was fed with the ART solution daily in the dosage of 50 mg·kg^-1，and mice in the HCQ group was given with the HCQ solution （1 300 mg·kg^-1）. Mice in the SS model and control groups were given saline daily. The treatment lasted for 8 weeks. The 24-hour average water intake，salivary flow rate，SMG pathology scores of mice in each group were measured，as well as the expression levels of AQP5 protein and gene in the SMG tissues. ResultsCompared with the control group，the 24-hour average water intake of mice in the model group was significantly increased （P<0.01），and the saliva flow rate was significantly decreased （P<0.01）. Compared to the SS model group，the 24-hour average water intake of mice in the ART and HCQ groups was significantly reduced （P<0.01），and the salivary flow rate was significantly increased in the ART group（P<0.01），comparisons between groups showed that the ART was superior to the HCQ in reducing water intake and improving saliva flow rate in SS model mice （P<0.05）. The HE staining results showed that，compared with the normal group，the number of lymphocyte infiltration foci in SMG tissue in the model group increased，and the pathological score increased （P<0.01）. Compared to the SS model group，after the intervention of the ART and HCQ，the number of lymphocytic infiltration foci in the SMG tissue decreased，the area of the lymphocytic infiltration foci was reduced，and the pathology score of the SMG tissues was lowered in the ART group（P<0.01）. However，there was no difference in pathological scores between the ART and HCQ groups . The results of IHC，Western blot，and Real-time PCR showed that，compared with the normal group，the expression levels of AQP5 protein and gene in SMG tissue in the model group significantly decreased （P<0.05）. Comparing with the SS model group，the ART and HCQ groups could significantly up-regulated the expression levels of AQP5 protein and mRNA in the SMG tissue，and the treatment effect was better than that of HCQ. ConclusionART was able to ameliorate SMG structural damage and salivary secretion function in SS model mice，and its mechanism of action may be related to the up-regulation of AQP5 protein and gene expression levels in SMG cells.

OBJECTIVE To explore the characteristics and influencing factors of immune-related adverse events （irAEs） induced by tislelizumab in patients with liver cancer. METHODS A retrospective cohort of 203 liver cancer patients treated with tislelizumab in Guangxi Medical University Cancer Hospital from May 2022 to March 2024 was included. These patients were divided into an irAEs group （58 cases） and a non-irAEs group （145 cases）. Clinical data were collected and compared between the two groups. A multivariate logistic regression model was employed to analyze factors influencing the occurrence of irAEs and establish a predictive model. The receiver operator characteristic （ROC） curve was plotted to evaluate the predictive value of the model for the occurrence of irAEs. The correlation between irAEs and overall survival （OS） as well as progression free survival （PFS） in patients was analyzed using the Kaplan-Meier method. RESULTS The irAEs induced by tislelizumab in liver cancer patients were predominantly grade 1-2 （89.71%）， mainly manifesting as hematological toxicity （42.65%） and hepatotoxicity （20.59%）， and mostly occurred within 1-12 cycles after tislelizumab treatment. Compared with liver cancer patients without underlying liver diseases， those with chronic hepatitis B had a higher incidence of irAEs. Statistically significant differences were observed between the irAEs and non-irAEs groups in terms of the number of patients with a China Liver Cancer Staging （CNLC） stage ≥Ⅱ， white blood cell count， neutrophil count， systemic immune-inflammation index （SII）， and neutrophil-to-lymphocyte ratio （NLR） （P＜0.05）. Multivariate Logistic regression analysis revealed that CNLC stage ≥Ⅱ was an independent risk factor for the occurrence of irAEs （P＝0.027）. The ROC curve indicated that neutrophil count， white blood cell count， NLR， and SII all demonstrated certain predictive potential for the occurrence of irAEs （with area under the curve values of 0.614， 0.592，0.591， and 0.589， respectively）. The Kaplan-Meier survival curve showed no statistically significant differences in PFS and OS between the irAEs and non-irAEs groups， among patients with different grades of irAEs， and among irAEs patients with different CNLC stages （P＞0.05）. CONCLUSION The irAEs induced by tislelizumab in liver cancer patients are relatively mild （grade 1-2），mainly manifesting as hematological toxicity and hepatotoxicity. Liver cancer patients with concurrent chronic hepatitis B are at a higher risk of developing irAEs. CNLC stage ≥Ⅱ is an independent risk factor for irAEs induced by tislelizumab. Neutrophil count， white blood cell count， NLR， and SII have certain predictive value for the occurrence of irAEs.

Objective To investigate whether there exist differences in the improvement of left ventricular diastolic function between angiotensin receptor-neprilysin inhibitor(ARNI)and angiotensin-converting enzyme inhibitor(ACEI)/angiotensin receptor blocker(ARB)in patients with hypertensive heart disease(HHD).Methods A retrospective cohort study was conducted on the HHD patients admitted in Department of Cardiovascular Diseases of our hospital from January 2021 to December 2024.The general information,echocardiographic parameters before and after treatment,and results of routine tests were collected.Finally,517 HHD patients were subjected,including 117 receiving ARNI treatment(ARNI group)and 400 getting ACEI/ARB treatment(ACEI/ARB group).A 1∶1 propensity score matching(PSM)was performed with a caliper value of 0.02,resulting in 89 matched cases for each group.Electrocardiography was performed to assess left ventricular diastolic dysfunction(LVDD),with various parameters,including left atrial volume index,early diastolic peak velocity at the interventricular septal portion of mitral annulus(septal e'),early diastolic peak velocity at the lateral wall portion of mitral annulus(lateral e'),tricuspid regurgitation velocity,and E/e'.These parameters were followed up and reassessed during the treatment period.Kaplan-Meier survival curve was plotted to compare the incidence of LVDD between the 2 groups.Multivariable logistic regression model was employed to identify the risk factors contributing to LVDD.Results The median follow-up time was 412(309,736)d in the whole cohort,and was 409(300,729)d for the patients after PSM.Kaplan-Meier survival analysis demonstrated that the incidence of LVDD was lower in the ARNI group than the ACEI/ARB group both before and after PSM(P<0.05).After treatment,the ARNI group obtained lower lateral e'[8.00(7.00,9.40)vs 9.00(7.10,10.30)cm/s,P<0.001],thinner left ventricular posterior wall thickness[12.20(10.80,12.80)vs 12.30(11.20,12.90)mm,P<0.048]when compared with the ACEI/ARB group.After adjusting for confounding factors,multivariable logistic regression analysis revealed that advanced age(OR=1.082,P<0.001),increased systolic blood pressure(OR=1.009,P=0.005),thicker left ventricular posterior wall thickness(OR=1.462,P<0.001),left atrial enlargement(OR=1.081,P<0.001),and use of calcium channel blocker(OR=1.548,P=0.006)were independent risk factors for LVDD,and positively correlated with the risk of LVDD.While,male(OR=0.709,P=0.043)and BMI(OR=0.933,P=0.006)were protective factors,which were negatively correlated with LVDD risk.Conclusion In HHD patients,ARNI is superior to ACEI/ARB in reducing the incidence of LVDD.