ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

ObjectiveTo investigate the possible mechanism of action of Xibining Formula （膝痹宁） for cartilage damage in knee osteoarthritis （KOA） through the cyclic guanosine-adenosine monophosphate synthase （cGAS）- stimulator of interferon genes （STING） signaling pathway. MethodsFifty C57BL/6J mice were randomly divided into five groups （10 per group）， sham operation group， KOA model group， low-dose Xibining Formula group， high-dose Xibining Formula group， and high-dose Xibining Formula + agonist group. The KOA models were constructed using the destabilization of the medial meniscus （DMM） method in all groups but the sham surgery group. Two weeks after surgery， the low- and high-dose Xibining Formula groups were administered Xibining Formula at doses of 3.58 g/（kg·d） and 14.32 g/（kg·d） respectively via gavage. The high-dose Xibining Formula + agonist group received 14.32 g/（kg·d） of Xibining Formula via gavage followed by an intraperitoneal injection of Vadimezan （DMXAA） at 25 mg/kg. The sham surgery group and the KOA model group mice were given an equivalent volume of normal saline at 5 ml/（kg·d） via gavage， once daily for four consecutive weeks. Serum levels of tumor necrosis factor-alpha （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） were measured by ELISA； pathological changes in cartilage tissue were observed using hematoxylin-eosin （HE） staining and Safranin O-Fast Green staining. Pathological changes were scored according to the Mankin scoring system； the levels of cartilage tissue matrix regulation-related indicators such as matrix metalloproteinase 3 （MMP3）， matrix metalloproteinase 13 （MMP13）， a disintegrin and metalloproteinase with thrombospondin motifs 5 （ADAMTS）， type-Ⅱ collagen （CⅡ） and aggregated proteoglycan （Aggrecan）， and also cGAS-STING pathway-related protein and mRNA expression levels were detected by Western blot and qPCR methods. ResultsCompared with the sham surgery group， the KOA model group showed severe cartilage edge destruction， significantly increased Mankin scores， significantly decreased protein and mRNA expression levels of COLⅡ and Aggrecan， and significantly increased protein and mRNA expression levels of cGAS， STING， MMP3， MMP13， and ADAMTS5 （P＜0.01）. Compared with the control group， serum level of IL-6， IL-1β， TNF-α in all the intervented groups decreased （P＜0.01）， while compared with high-dose Xibining Formula group， level of IL-6， IL-1β， and TNF-α in low-dose Xibining Formula group and high-dose Xibining Formula + agonist group increased （P＜0.01）. Compared with the KOA model group， all the intervention groups exhibited alleviated cartilage pathological changes， signi-ficantly reduced Mankin scores， significantly increased protein and mRNA expression levels of COLⅡ and Aggrecan， and significantly decreased protein and mRNA expression levels of cGAS， STING， MMP3， MMP13， and ADAMTS5 （P＜0.01）. Compared with high-dose Xibining Formula group， high-dose Xibining Formula + agonist group showed cartilage edge destruction， significantly increased Mankin scores， significantly decreased protein and mRNA expression levels of COLⅡ and Aggrecan， and increased protein and mRNA expression levels of cGAS， STING， MMP3， MMP13， and ADAMTS5 （P＜0.01）. ConclusionXibining Formula may improve KOA cartilage damage by inhibiting the cGAS-STING signaling pathway， decreasing matrix degradation-related proteins， and elevating matrix composition-related proteins.

Objective To study the dynamic regulatory role of early growth response 4(EGR4)in mouse neurodevelopment.Methods Data on single-cell chromatin accessibility(single-cell assay for transposase-accessible chromatin by sequencing,scATAC-seq)and transcriptome(single-cell RNA sequencing,scRNA-seq)from seven key stages spanning from the embryonic period to adulthood was collected and analyzed.The transcription factor binding site network was inferred,a quantitative analysis from a temporal perspective was conducted,its functional modules were parsed,and the results were visualized.Results egr4 was significantly highly expressed from the late embryonic stage to adulthood,and specifically activated during the maturation of inhibitory neurons[parvalbumin(PV)and somatostatin(SST)subtypes].Moreover,its transcription was not directly regulated by changes in chromatin accessibility.Temporal network analysis indicated that EGR4 became a regulatory hub in the late embryonic stage and drove neuron differentiation and subtype specification.Functional enrichment analysis showed that EGR4 regulated the"cell differentiation"pathway through dynamic interacting factors,and there were subtype-specific interaction modules in PV/SST neurons respectively.Conclusion EGR4 can participate in the late-stage maturation of cortical neurons through a stage-specific regulatory network.This study provides a new perspective on mechanisms underlying the temporal logic of neural development.

Objective To establish a prognostic model that predicts the survival and prognosis of gastric adenocarcinoma patients by studying the LncRNAs related to iron death in gastric cancer cells,thereby providing a theoretical basis for the development of their biomarkers and therapeutic targets.Methods The transcript sequencing data of gastric adenocarcinoma patients in the TCGA database were analyzed and intersected with iron death-related genes,which were screened for iron death-related LncRNAs by co-expression and differential analysis methods.One-way and multifactorial Cox regression analyses were used to screen out the prognostic-related LncRNAs in gastric adenocarcinoma patients,so as to establish the prognostic scoring models.On this basis,risk values were calculated for each sample,and the reliability of the model was fully verified.According to the model results,differences in the immune infiltration and immune response between the high-and low-risk groups were analyzed.Results Tumor tissues were screened for 503 LncRNAs(431 up-regulated and 72 down-regulated)associated with iron death compared to the normal tissues;univariate Cox regression analysis yielded 33 LncRNAs that could be used as the independent risk factors,whereas multivariate Cox regression analysis constructed a predictive model consisting of 17 LncRNAs.Survival curves indicated that patients with the high risk had the significantly lower survival rates than those with the low risk(P<0.001).Unifactorial and multifactorial independent prognostic analyses showed that age,stage,and risk value were independent risk factors for patients;Time-dependent ROC curves suggested that the predicted AUC values of the model's 1-,2-,and 3-year survival rates were 0.751,0.799,and 0.779 respectively,proving that the model was reliable and stable.There were significant differences in multiple immune activation responses,the degree of immune cell infiltration,and the expression levels of immune check points between the high-and low-risk groups.Conclusion The established prognostic prediction model based on iron death-related lncRNAs for gastric adenocarcinoma patients can better assess the prognosis of patients,and the lncRNAs included in the model have the feasibility of being developed into biomarkers and therapeutic targets.

Objective: To investigate the molecular mechanism of NOD-like receptor(NLR) signaling pathway induced cellular focal death in mouse kidney tissues under plateau hypoxia based on transcriptomic sequencing technology. Methods: Animal models were constructed in high-altitude kidney test group(HKT group) and plain kidney control group(PKC group),and C57/BL6 mice were bred at an altitude of 4 200 m and 400 m,respectively.Kidney tissues were aseptically taken out after 30 d and used for observation of renal histopathological changes and transcriptomics sequencing,respectively,and then differentially expressed genes(DEGs) were enriched by KEGG and GO analysis.Key gene and protein expression levels were verified by reverse transcription quantitative polymerase chain reaction(RT-qPCR) and Western blot analysis. Results: Hematoxylin-eosin(HE) staining showed that the renal tubules of HKT mice were disorganized,and the tubular epithelial cells were edematous with inflammatory cell aggregation.Transcriptomics sequencing analysis revealed that a total of 3 007 DEGs were identified in the HKT group,and KEGG analysis showed that DEGs were significantly enriched in the NLR signaling pathway.The mRNA expression of the key differentially expressed genes,CASP1,CASP11,GSDMD,IFI16,NAIP5,IRF9,and the downstream inflammatory factors,IL-1β and IL-18,was upregulated,and protein expression of CASP1,CASP11,and GSDMD was up-regulated. Conclusion The plateau hypoxic environment induces cellular pyroptosis by regulating the expression of NLR signaling pathway and releases downstream inflammatory factors to cause inflammatory responses.

Chemotherapy-induced peripheral neurotoxicity (CIPN) is a severe dose-limiting adverse event of chemotherapy. Presently, the mechanism underlying the induction of CIPN remains unclear, and no effective treatment is available. In this study, through metabolomics analyses, we found that nab-paclitaxel therapy markedly increased serum serotonin [5-hydroxtryptamine (5-HT)] levels in both cancer patients and mice compared to the respective controls. Furthermore, nab-paclitaxel-treated enterochromaffin (EC) cells showed increased 5-HT synthesis, and serotonin-treated Schwann cells showed damage, as indicated by the activation of CREB3L3/MMP3/FAS signaling. Venlafaxine, an inhibitor of serotonin and norepinephrine reuptake, was found to protect against nerve injury by suppressing the activation of CREB3L3/MMP3/FAS signaling in Schwann cells. Remarkably, venlafaxine was found to significantly alleviate nab-paclitaxel-induced CIPN in patients without affecting the clinical efficacy of chemotherapy. In summary, our study reveals that EC cell-derived 5-HT plays a critical role in nab-paclitaxel-related neurotoxic lesions, and venlafaxine co-administration represents a novel approach to treating chronic cumulative neurotoxicity commonly reported in nab-paclitaxel-based chemotherapy.
Paclitaxel/toxicity* ; Animals ; Albumins/adverse effects* ; Serotonin/metabolism* ; Mice ; Humans ; Male ; Female ; Venlafaxine Hydrochloride/therapeutic use* ; Neurotoxicity Syndromes/metabolism* ; Middle Aged ; Schwann Cells/metabolism* ; Peripheral Nervous System Diseases/drug therapy* ; Antineoplastic Agents

A 70-year-old female patient presented with fatigue and edema for 3 months and was found to have elevated serum creatinine for 3 weeks. During the course of the disease, she had fever and cough. Examinations revealed multiple ground-glass opacities in both lungs and positivity for myeloperoxidase-anti-neutrophil cytoplasmic antibodies (ANCA), leading to a diagnosis of ANCA-associated vasculitis. The patient′s condition initially improved after pulse glucocorticoid therapy combined with cyclophosphamide. During treatment, however, the patient developed hematochezia, and colonoscopy revealed multiple colonic ulcers. Immunohistochemistry of colonic mucosal biopsy confirmed cytomegalovirus (CMV) positivity, establishing a diagnosis of CMV colitis. The patient was found to have concurrent Clostridioidesdifficile and pulmonary infections. During the disease course, the patient also developed deep vein thrombosis and roxadustat-associated central hypothyroidism. Given the presence of multiple comorbidities, rituximab was subsequently used for vasculitis treatment, resulting in sustained remission. This case highlights the importance of highly individualized treatment strategies for older patients with vasculitis, requiring adjustment of immunosuppressive therapy intensity based on disease progression.

Objective:To identify the optimal machine learning model for predicting cholecystocardiac syndrome (CCS) in elderly patients and determine key predictive factors.Methods:A total of 150 elderly patients diagnosed as having CCS who presented with chest discomfort as the initial symptom were retrospectively included at Hangzhou First People's Hospital from July 2021 to December 2023, with 150 propensity score-matched controls (1∶1 matching for age, gender, smoking, and drinking history) with chest discomfort but without CCS during the same period. Demographic characteristics, vital signs at admission, laboratory test results, and electrocardiogram (ECG) findings of all patients were collected. The predictive performance of six machine learning models—gradient boosting, logistic regression, random forest (RF), k-nearest neighbor (KNN), multilayer perceptron (MLP), and support vector machine (SVM) for early CCS recognition was compared. The model with the best overall performance was selected according to area under the curve (AUC), and its key predictive factors were identified based on feature importance ranking.Results:Among the six machine learning models, the RF model demonstrated the highest AUC (0.84) and lowest Brier score (0.165) and was therefore identified as the optimal model. In the independent test set, the RF model achieved an AUC of 0.87 (95% CI: 0.735-0.908), with a sensitivity of 86.7% (39/45), specificity of 80.0% (36/45), positive predictive value of 81.3% (39/48) and negative predictive value of 85.7% (36/42). The six most important predictive variables were procalcitonin (PCT), serum amyloid A (SAA), heart rate variability low-frequency to high-frequency ratio (LF/HF), percentage of successive normal RR intervals differing by >50 ms (PMN50), γ-glutamyltransferase/aspartate aminotransferase ratio (GGT/AST), and direct bilirubin (DBIL). Conclusion:The RF model can predict early risk of CCS in elderly patients, with the key predictive factors including PCT, SAA, LF/HF, PMN50, GGT/AST, and DBIL.

Objective:To explore the relationship between urinary cadmium levels and thyroid hormone levels in people aged 40-89 years old in selected areas of China.Methods:Based on the "Investigation of the Impact of Soil Quality of Agricultural Land on Human Health in Typical Areas" project from October 2019 to August 2020, a multi-stage stratified random sampling method was used to include 6 588 middle-aged and older adults aged 40-89. Demographic characteristics, dietary frequency and disease status were collected through the questionnaire and physical examination. Urinary cadmium and urinary creatinine were detected by random midstream urine. Fasting venous blood was collected for the detection of Triiodothyronine (T3) and Thyroxine (T4). The linear mixed effects model was used to explore the association of urine cadmium levels with thyroid hormone levels. Its dose-response relationship was explored by using the restricted cubic spline.Results:The age of the subjects was (63.48±12.18) years, with males accounting for 51.28%. The M ( Q 1,Q 3) of urinary cadmium level, T3 and T4 was 2.48 (1.36, 4.42) μg/g·creatinine, (1.96±0.51) nmol/L and (113.75±29.11) nmol/L, respectively. The linear mixed effects model showed that the changes of T3 and T4 were 0.027 (0.009, 0.044) nmol/L and 2.019 (1.084, 2.953) nmol/L for each one-unit increase (natural logarithm transformed) of urinary cadmium. The restricted cubic spline showed that there was a positive nonlinear association between urinary cadmium and T3 as well as T4 (all Pnonlinear<0.05). Conclusion:In selected areas of China, the urinary cadmium level of middle-aged and older adults aged 40-89 years is positively associated with T3 and T4.

Objective:To analyze the efficacy of combination of peginterferon α-2b（Peg-IFN α-2b）with nucleos（t）ide analogues（NAs）on antiviral therapy in children with chronic hepatitis B（CHB）and to provide an optimized clinical treatment strategies for CHB children.Methods:A retrospective analysis was conducted on 30 CHB children treated in The First Affiliated Hospital of the Army Medical University（Southwest Hospital）from January 2022 to January 2025 with treatment duration at least 48 weeks. The enrolled children were aged between 2 and 17 years and divided into the NAs combined with Peg-IFN α-2b（NPI）group（n=13）and NAs group（n=17）by their therapy regimens. The characteristics of baseline，week 12，week 24，week 48 and week 96 were compared between groups，as well as the differences in response to biochemical，immune and viral indicators at each observation point. Logistic regression analysis and receiver operating characteristic（ROC）curve analysis were performed to identify factors influencing the HBsAg seroclearance. Results:At baseline of treatment，the proportion of HBeAg positivity in the NPI group and the NAs group was high（76.9% vs 86.6%， χ2=0.679， P=0.628），and the alanine aminotransferase（ALT）and aspartate aminotransferase（AST）in the NPI group were significantly lower than those in the NAs group（ P<0.001）. At 24 weeks，the decrease in HBsAg in the NPI group was also significantly higher than that in the NAs group（ Z=-3.161， P=0.002）. Finally，the cumulative seroclearance rate of HBsAg at 96 weeks in the NPI group was significantly higher than that in the NAs group（46.15% vs 5.88%， χ2=0.679， P=0.025）. Mulitivariate Logistic regression analysis showed that treatment regimen and gender were risk factors affecting the outcome of HBsAg（ P<0.05）. ROC curve analysis showed that the increase in ALT at 12 weeks compared with baseline（AUC=0.857，Cutoff value=3.615 IU/L），the decrease in ALT at 24 weeks（AUC=0.870，Cutoff value=47.85 IU/L），and the decrease in HBsAg at 12 weeks and especially at 24 weeks（AUC=0.885，Cutoff value=0.97log IU/ml）were effective predictors of HBsAg prognosis at 96 weeks. Conclusion:In CHB children，antiviral regimen Peg-IFN α-2b combined with NAs was more effective than NAs alone in improving the HBsAg seroclearance rate of CHB，and the effects in female were better than in male. The decline of HBsAg and the fluctuation of ALT in the early treatment period are valid predictors of HBsAg clearance.