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.

Neurological disorders such as post-stroke hemiplegia, spinal cord injury, and Parkinson disease represent a major global health burden. Brain-computer interface (BCI), which creates direct communication pathways between the nervous system and external devices, offers a promising strategy for functional restoration. The long-term efficacy of such BCI fundamentally depends on the performance of biomaterials at the neural interface. Ideal materials must concurrently satisfy biocompatibility, electrical conductivity, enduring chemical stability, and mechanical compatibility with brain tissue. This review systematically outlines the application of conductive polymers, inorganic nanomaterials, natural biomaterials, and composites in BCI, with a focus on how advanced designs, such as bionic and encapsulated electrodes, improve signal fidelity and surgical feasibility through structural innovation. It further summarizes key material-modification techniques and analyzes the complex foreign-body response orchestrated by microglia, astrocytes, and peripheral immune cells. Finally, it provides insights into future research directions and clinical translation of BCI-based neurorehabilitation, while highlighting critical challenges including long-term biosafety and the establishment of standardized evaluation frameworks, aiming to bridge the gap between laboratory innovation and effective clinical deployment.

Digestive system malignant tumors （DT） are one of the leading causes of death globally and carry a heavy economic burden. Gut microbiota plays a critical role in maintaining host health， including providing nutrition， defending against pathogens， and promoting immune development. In recent years， more and more studies have shown that dysbiosis of gut microbiota is closely associated with DT such as gastric cancer， liver cancer， and colon cancer. Therefore， targeted regulation of gut microbiota plays a potential role in inhibiting the growth and metastasis of DT， while its specific regulatory mechanism remains unclear. As the studies about the anti-tumor effects of traditional Chinese medicine （TCM）， especially the basic and clinical studies on the regulation of gut microbiota by TCM in tumor treatment， have been growing， the therapeutic effects of TCM on DT have attracted much attention. This paper provides a systematic review of the relationship between gut microbiota and DT， as well as the related studies on the modulation of gut microbiota by TCM against DT， with the aim of providing a foundation and direction for future basic and clinical studies on DT. The literature review shows that gut microbiota influence the occurrence and development of DT through multiple pathways. These pathways include triggering chronic inflammation， producing oncogenic metabolites， inducing genomic instability， regulating the immune system， and altering the tumor microenvironment. TCM can exert anti-DT effects by regulating the composition of gut microbiota， modulating gut microbiota metabolites， repairing intestinal barrier function， and influencing immune functions. Therefore， understanding the relationship between gut microbiota and DT and the regulatory mechanisms of TCM may provide new strategies for future prevention and treatment of DT.

Objective To evaluate the predictive value of triglyceride-glucose body mass index(TyG-BMI),atherogenic index of plasma(AIP),and postprandial glucose excursion(PPGE)for sarcopenia in patients with type 2 diabetes mellitus(T2DM).Methods An observational cohort trial was conducted on 590 hospitalized T2DM patients(322 males and 268 females)admitted to Department of Endocrinology of the First Affiliated Hospital of Chongqing Medical University between January 2023 and December 2024.General demographic data and key metabolic indicators,including fasting plasma glucose(FPG),postprandial 2-hour plasma glucose(PPG),triglyceride(TG)were collected,and then TyG-BMI,AIP,and PPGE were calculated.Based on the Asian Working Group for Sarcopenia(AWGS)2019 criteria,they were divided into a sarcopenia group(n=140)and a non-sarcopenia group(n=450).After 1∶1 propensity score matching(PSM),102 patients with sarcopenia were matched with 102 without.Differences in metabolic indicators FPG,PPG,TyG-BMI,AIP and PPGE were compared between the 2 groups.Spearman correlation analysis was conducted to assess correlations of these indicators with sarcopenia.Conditional logistic regression analysis was performed to identify independent risk factors,and receiver operating characteristic(ROC)curves were plotted to assess predictive performance.An external validation cohort consisting of 192 T2DM patients from Department of Endocrinology of Jiangbei Branch of First Affiliated Hospital of Army Medical University between January 2023 and December 2024 was included to validate the prediction model.Results After PSM,the baseline data of the 2 groups was balanced(P>0.05).The sarcopenia group showed higher levels of PPG,AIP,and PPGE,but lower TyG-BMI value than the non-sarcopenia group(all P=0.001).Spearman correlation analysis revealed that the TyG-BMI was negatively correlated(r=-0.404,P=0.001),whereas AIP and PPGE were positively correlated with concomitant sarcopenia(r=0.280,P=0.001;r=0.372,P=0.001)in the T2DM patients.Conditional logistic regression analysis identified AIP(OR=14.367)and PPGE(OR=1.245)as independent risk factors,while TyG-BMI(OR=0.966)as independent protective factors.ROC curve analysis revealed that the area under the curve(AUC)of the combined model of TyG-BMI,AIP and PPGE in predicting sarcopenia was 0.918,and the AUC value was 0.954 in external validation,with good sensitivity and specificity.Conclusion TyG-BMI,AIP,and PPGE are important metabolic predictors in T2DM patients with sarcopenia.Their combination has good screening value for sarcopenia,and can be applied in external prediction for T2DM patients.

Poly(lactic-co-glycolide)(PLGA)is a key excipient in long-acting sustained-release preparations,and its degradation properties directly affect the drug release behavior.In this study,PLGA microspheres were prepared by microfluidic techniques,and the morphology changes of the microspheres were observed by scanning electron microscopy(SEM).In alkaline environment,due to the accelerated hydrolysis of ester bonds,the surface of the microspheres was rapidly dissolved and eroded,and the degradation rate was significantly higher than that in acidic environment.High temperature accelerated the degradation of PLGA microspheres.Under neutral and alkaline conditions,the microspheres showed aggregation and adhesion.Under acidic conditions,the microspheres gradually decomposed into irregular fragments.The high ionic strength further promoted the surface corrosion of the microspheres,especially under extreme pH conditions.Simultaneously,PLGA microspheres encapsulating coumarin were prepared to simulate the microsphere formulation.The release rate of coumarin after degradation of the microspheres under different conditions was observed by measuring the absorbance with ultraviolet-visible spectrophotometry.The results were consistent with those of the blank microspheres.This study revealed that the degradation of PLGA microspheres was significantly pH-dependent,temperature sensitive and ion strength responsive.These findings not only helped to understand and optimize the long-term stability and controlled release performance of drug-carrying microspheres,but also provided a theoretical basis for further improvement of PLGA-based drug carrier design.

Objective:To explore the dosimetric characteristics of proton and photon radiotherapy in the treatment of breast cancer.Methods:Four female breast cancer patients who needed radiotherapy at Shandong Cancer Hospital and Institute from January 2024 to May 2024 were selected as the research subjects. The target area ranges of 4 patients were left-sided breast cancer with lymph node involvement, left-sided breast cancer with lymph node involvement and internal mammary node, right-sided breast cancer with lymph node involvement and internal mammary node and synchronous bilateral breast cancer. Intensity modulated proton therapy (IMPT) and intensity modulated radiation therapy (IMRT) plans were designed respectively based on the prescribed dose in the target area and the limits of organs at risk (tomotherapy plan for bilateral breasts). The conformity index (CI), homogeneity index (HI), gradient index (GI) and organs at risk doses were evaluated. The dosimetric characteristics of IMPT and photon radiotherapy were compared.Results:Both IMPT and photon radiotherapy plans of the 4 breast cancer cases met the clinical dose requirements. The HI value of IMPT plans (0.10-0.14) was comparable to that of photon radiotherapy plans (0.10-0.12), and the average CI of the photon radiotherapy plans was 0.10 higher than that of the IMPT plans, and the average GI was 0.55 lower than that of the IMPT plans. The D mean of ipsilateral lung and heart of IMPT was lower, especially in the low-dose area (V 0-3), which was significantly lower than the photon radiotherapy plans, D mean of ipsilateral lung was reduced by 12.2%, 6.1%, 16.1% and 34.8%, respectively, D mean of heart was reduced by 47.2%, 57.0%, 72.4% and 83.0%, respectively. The ipsilateral lung V 20 of IMPT was not lower than photon radiotherapy plans (unilateral breast: IMPT was 30.0%-34.0%, IMRT was 29.0%-35.9%) . Conclusions:IMPT significantly reduces the D mean to the ipsilateral lung and heart while ensuring dose coverage of the target in breast cancer, preventing more volume of surrounding normal tissues from being irradiated. However, IMPT does not show much more advantage than photon radiotherapy plans in the ipsilateral lung V 20.

Objective:To establish a Fourier transform infrared spectroscopy (FT-IR) method for rapid identification of Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants.Methods:The Fourier transform infrared spectra of Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants were established, and the second derivative spectral analysis, clustering analysis, principal component analysis, opls-da and cluster independent soft mode classification model were analyzed to explore the difference characteristic peaks of Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants.Results:The first order infrared spectrum showed that the peak shape and peak intensity of Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants were different. Clustering analysis, principal component analysis and OPLS-DA results showed that Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants showed good clustering characteristics. SIMCA method was used to construct the model, and the accuracy of the training set and the verification set were 100%, which further verified the feasibility of this method in identifying the authenticity of Cremastrae Pseudobulbus Pleiones Pseudobulbus.Conclusions:The second-order infrared spectroscopy can accurately distinguish the differences between Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants. The method is fast and accurate, and can be used for the authenticity identification of Cremastrae Pseudobulbus Pleiones Pseudobulbus.

Purpose: Colorectal cancer (CRC) often spreads to the liver, necessitating surgical treatment for CRC liver metastasis (CRLM). Iron-deficiency anemia is common in CRC patients and is associated with fatigue and weakness. This study investigated the effects of iron-deficiency anemia on the outcomes of surgical resection of CRLM. Methods: This population-based, retrospective study evaluated data from adults ≥20 years old with CRLM who underwent hepatic resection. All patient data were extracted from the 2005–2018 US National (Nationwide) Inpatient Sample (NIS) database. The outcome measures were in-hospital outcomes including 30-day mortality, unfavorable discharge, and prolonged length of hospital stay (LOS), and short-term complications such as bleeding and infection. Associations between iron-deficiency anemia and outcomes were determined using logistic regression analysis. Results: Data from 7,749 patients (representing 37,923 persons in the United States after weighting) were analyzed. Multivariable analysis revealed that iron-deficiency anemia was significantly associated with an increased risk of prolonged LOS (adjusted odds ratio [aOR], 2.76; 95% confidence interval [CI], 2.30–3.30), unfavorable discharge (aOR, 2.42; 95% CI, 1.83–3.19), bleeding (aOR, 5.05; 95% CI, 2.92–8.74), sepsis (aOR, 1.60; 95% CI, 1.04–2.46), pneumonia (aOR, 2.54; 95% CI, 1.72–3.74), and acute kidney injury (aOR, 1.71; 95% CI, 1.24–2.35). Subgroup analyses revealed consistent associations between iron-deficiency anemia and prolonged LOS across age, sex, and obesity status categories. Conclusion In patients undergoing hepatic resection for CRLM, iron-deficiency anemia is an independent risk factor for prolonged LOS, unfavorable discharge, and several critical postoperative complications. These findings underscore the need for proactive anemia management to optimize surgical outcomes.

6-gingerol, a bioactive compound from ginger, has demonstrated promising anticancer properties across various cancer models by inducing apoptosis and inhibiting cell proliferation and invasion. In this study, we explore its mechanisms against glioblastoma multiforme (GBM), a notably aggressive and treatment-resistant brain tumor. We found that 6-gingerol crosses the blood-brain barrier more effectively than curcumin, enhancing its potential as a therapeutic agent for brain tumors. Our experiments show that 6-gingerol reduces cell proliferation and triggers apoptosis in GBM cell lines by disrupting cellular energy homeostasis. This process involves an increase in mitochondrial reactive oxygen species (mtROS) and a decrease in mitochondrial membrane potential, primarily due to the downregulation of manganese superoxide dismutase (MnSOD). Additionally, 6-gingerol reduces ERK phosphorylation by inhibiting EGFR and RAF, leading to G1 phase cell cycle arrest. These findings indicate that 6-gingerol promotes cell death in GBM cells by modulating MnSOD and ROS levels and arresting the cell cycle through the ERFR-RAF-1/MEK/ ERK signaling pathway, highlighting its potential as a therapeutic agent for GBM and setting the stage for future clinical research.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.