Objective To explore the effect of rituximab on cellular immunity and cytokines in children with new-onset steroid-sensitive nephrotic syndrome(SSNS).Methods Clinical data of 60 children with new-onset SSNS treated at Xuzhou Children's Hospital from December 2021 to March 2023 were retrospectively analyzed.Children were allocated according to rituximab use into a control group(no rituximab)and an observation group(rituximab).The relapse rate,T-lymphocyte subsets and cytokines before and after treatment,and the incidence of adverse reactions were compared between groups.Results The relapse rate was lower in the observation group than in the control group(27%vs 73%,P<0.05).After treatment,CD3+and CD4+T-lymphocyte counts,the CD4+/CD8+ratio,and serum interleukin-2 increased in the observation group and were higher than in the control group(P<0.05).Interleukin-6 and tumor necrosis factor-α levels decreased after treatment in the observation group and were lower than in the control group(P<0.05).After treatment,CD8+T-lymphocyte counts decreased,interferon-γ increased,and interleukin-10 decreased in both groups,with no significant differences between the two groups(P>0.05).The incidence of adverse reactions did not differ significantly between the two groups(P>0.05).Conclusions Rituximab can reduce the relapse rate in children with new-onset nephrotic syndrome and shows good safety.Its therapeutic effect is achieved by regulating the number and function of T cells and by modulating the anti-inflammatory effects of cytokines.

Objective To explore the effect of rituximab on cellular immunity and cytokines in children with new-onset steroid-sensitive nephrotic syndrome(SSNS).Methods Clinical data of 60 children with new-onset SSNS treated at Xuzhou Children's Hospital from December 2021 to March 2023 were retrospectively analyzed.Children were allocated according to rituximab use into a control group(no rituximab)and an observation group(rituximab).The relapse rate,T-lymphocyte subsets and cytokines before and after treatment,and the incidence of adverse reactions were compared between groups.Results The relapse rate was lower in the observation group than in the control group(27%vs 73%,P<0.05).After treatment,CD3+and CD4+T-lymphocyte counts,the CD4+/CD8+ratio,and serum interleukin-2 increased in the observation group and were higher than in the control group(P<0.05).Interleukin-6 and tumor necrosis factor-α levels decreased after treatment in the observation group and were lower than in the control group(P<0.05).After treatment,CD8+T-lymphocyte counts decreased,interferon-γ increased,and interleukin-10 decreased in both groups,with no significant differences between the two groups(P>0.05).The incidence of adverse reactions did not differ significantly between the two groups(P>0.05).Conclusions Rituximab can reduce the relapse rate in children with new-onset nephrotic syndrome and shows good safety.Its therapeutic effect is achieved by regulating the number and function of T cells and by modulating the anti-inflammatory effects of cytokines.

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Listeria brainstem encephalitis with myelitis is extremely rare in clinical practice.Since the clinical manifestations are non-specific,MRI is helpful for diagnosis.Positive cerebrospinal fluid culture is considered the gold standard for diagnosis.This article reports a case of an immunocompetent individual with listeria brainstem encephalitis with myelitis,aiming to enhance the awareness of this condition.
Humans ; Brain Stem/pathology* ; Diagnostic Errors ; Encephalitis/complications* ; Encephalomyelitis, Acute Disseminated/diagnosis* ; Listeriosis/complications* ; Myelitis/complications*

This study investigates the mechanism by which Xintong Granules improve myocardial ischemia-reperfusion injury(MIRI) through the regulation of gut microbiota and their metabolites, specifically short-chain fatty acids(SCFAs). Rats were randomly divided based on body weight into the sham operation group, model group, low-dose Xintong Granules group(1.43 g·kg~(-1)·d~(-1)), medium-dose Xintong Granules group(2.86 g·kg~(-1)·d~(-1)), high-dose Xintong Granules group(5.72 g·kg~(-1)·d~(-1)), and metoprolol group(10 mg·kg~(-1)·d~(-1)). After 14 days of pre-administration, the MIRI rat model was established by ligating the left anterior descending coronary artery. The myocardial infarction area was assessed using the 2,3,5-triphenyltetrazolium chloride(TTC) staining method. Apoptosis in tissue cells was detected by the terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling(TUNEL) assay. Pathological changes in myocardial cells and colonic tissue were observed using hematoxylin-eosin(HE) staining. The levels of tumor necrosis factor-α(TNF-α), interleukin-1β(IL-1β), interleukin-6(IL-6), creatine kinase MB isoenzyme(CK-MB), and cardiac troponin T(cTnT) in rat serum were quantitatively measured using enzyme-linked immunosorbent assay(ELISA) kits. The activities of lactate dehydrogenase(LDH), creatine kinase(CK), and superoxide dismutase(SOD) in myocardial tissue, as well as the level of malondialdehyde(MDA), were determined using colorimetric assays. Gut microbiota composition was analyzed by 16S rDNA sequencing, and fecal SCFAs were quantified using gas chromatography-mass spectrometry(GC-MS). The results show that Xintong Granules significantly reduced the myocardial infarction area, suppressed cardiomyocyte apoptosis, and decreased serum levels of pro-inflammatory cytokines(TNF-α, IL-1β, and IL-6), myocardial injury markers(CK-MB, cTnT, LDH, and CK), and oxidative stress marker MDA. Additionally, Xintong Granules significantly improved intestinal inflammation in MIRI rats, regulated gut microbiota composition and diversity, and increased the levels of SCFAs(acetate, propionate, isobutyrate, etc.). In summary, Xintong Granules effectively alleviate MIRI symptoms. This study preliminarily confirms that Xintong Granules exert their inhibitory effects on MIRI by regulating gut microbiota imbalance and increasing SCFA levels.
Animals ; Gastrointestinal Microbiome/drug effects* ; Rats ; Male ; Myocardial Reperfusion Injury/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Rats, Sprague-Dawley ; Apoptosis/drug effects* ; Humans ; Tumor Necrosis Factor-alpha/metabolism* ; Interleukin-6/genetics* ; Malondialdehyde/metabolism*

Juvenile idiopathic arthritis(JIA)is the most prevalent joint disease in childhood.The disease is defined as arthritis of unknown etiology,involving one or more joints,with onset before the age of 16 years and symptomatic duration of more than 6 weeks.Temporomandibular joint(TMJ)arthritis is a common manifestation of JIA,but it often develops insidiously.Failing to diag-nose and treat it promptly may lead to maxillofacial dysfunction and dentofacial deformity,and negatively affect the patient's quality of life.Therefore,early diagnosis and disease management of TMJ arthritis are crucial.This article reviews the occurrence of JIA-TMJ arthritis and its progress in clinical diagnosis and disease treatment in recent years,aiming to provide some reference for den-tists in the clinical diagnosis and treatment of JIA.

Juvenile idiopathic arthritis(JIA)is the most prevalent joint disease in childhood.The disease is defined as arthritis of unknown etiology,involving one or more joints,with onset before the age of 16 years and symptomatic duration of more than 6 weeks.Temporomandibular joint(TMJ)arthritis is a common manifestation of JIA,but it often develops insidiously.Failing to diag-nose and treat it promptly may lead to maxillofacial dysfunction and dentofacial deformity,and negatively affect the patient's quality of life.Therefore,early diagnosis and disease management of TMJ arthritis are crucial.This article reviews the occurrence of JIA-TMJ arthritis and its progress in clinical diagnosis and disease treatment in recent years,aiming to provide some reference for den-tists in the clinical diagnosis and treatment of JIA.

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Objective To conduct lipidomics analysis of medical Marmota himalayana oil and explore its potential biological effects. Methods Marmota himalayana abdominal fat was heated and refined to produce medical marmot oil. Lipidomics analysis of two batches of Marmota himalayana oil was performed using gas chromatography-mass spectrometry (GC-MS) and ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS). The potential effects of Marmota himalayana oil were analyzed based on the results of lipid composition detection. Results GC-MS results showed that the main components of the two batches of Marmota himalayana oil were saturated fatty acids (volume fraction of about 60%) and unsaturated fatty acids (volume fraction of about 30%). The saturated fatty acids were mainly palmitic acid, stearic acid, and arachidic acid, while the unsaturated fatty acids were mainly oleic acid and linoleic acid. There were no significant differences in the volume fraction of various fatty acids between the two batches, indicating that the preparation process of Marmota himalayana oil was stable. The results of UPLC-MS negative ion mode detection showed that Marmota himalayana oil contained 15 saturated fatty acids and 18 unsaturated fatty acids, but there were significant differences in volume fraction between the two batches. The results of UPLC-MS positive ion mode detection showed that Marmota himalayana oil of both batches contained 15 diglycerides and 30 triglycerides. Conclusion This study innovatively applies GC-MS and UPLC-MS techniques to analyze the lipidomic components of medical Marmota himalayana oil, providing a reliable basis for subsequent exploration of its pharmacological activity and the establishment of strict quality control standards.

Aim To explore the potential mechanism of action of Codonopsis Poria in the treatment of alco-holic liver disease(ALD).Methods TCMSP and Swiss Target Prediction were used to obtain the active ingredients and targets of Codonopsis Poria;OMMI,DisGeNET and GeneCards databases were used to obtain the targets of ALD;STRING database was used to construct the PPI network;and Bioconductor soft-ware was used to analyze the enrichment of GO and KEGG pathways.Cytoscape 3.7.1 software was used to construct the drug-component-target-disease network of Codonopsis Poria for ALD treatment,and key targets were screened for molecular docking;the effects of Codonopsis Poria on ALD rats were verified by experi-ments.Results The removal of duplicate targets ob-tained 36 chemical components and 529 potential ac-tion targets.GO enrichment analysis:2 245 biological processes,74 cellular components,125 molecular functions.KEGG enrichment analysis:159 signaling pathways,mainly involving PI3K-Akt,MAPK,AGE-RAGE signaling pathways.Molecular docking showed that AKT1,MMP9 and other targets may be the key targets of Codonopsis Poria in the treatment of ALD.Experiments showed that Codonopsis Poria could im-prove the inflammation level of hepatocytes in ALD rats and reduce the levels of TC,TG,AST,ALT and GGT in ALD rats,PCR assay concluded that Codonopsis Po-ria could reduce the expression of PI3 K and AKT,and electron microscopy results showed that Codonopsis Po-ria could affect the autophagy of cells.Conclusions It is initially revealed that Codonopsis Poria may atten-uate inflammatory cell infiltration by affecting the ex-pression of AKT,TNF and MAPK,and it is hypothe-sized that Codonopsis Poria may affect autophagy through the PI3K-Akt signaling pathway,thus treating ALD,which is initially verified by PCR assay to pro-vide a basis for in-depth explanation of the molecular mechanism of Codonopsis Poria medicinal pairs in the treatment of ALD.