ObjectiveTo investigate the effect of high-definition transcranial direct current stimulation (HD-tDCS) combined with upper limb robot on upper limb dysfunction in patients with ischemic stroke. MethodsFrom January, 2023 to March, 2024, 56 inpatients with upper limb dysfunction after ischemic stroke were selected from Zhejiang Rehabilitation Medical Center, and divided into control group (n = 28) and experimental group (n = 28) randomly. All the patients received comprehensive treatment and upper limb robot training, while the control group received sham HD-tDCS and the experimental group received HD-tDCS, for four weeks. They were assessed with Fugl-Meyer Assessment-Upper Extremities (FMA-UE), Wolf Motor Function Test (WMFT) and modified Barthel Index (MBI) before and after treatment. The cortical amplitude, cortical latency and central motor conduction time (CMCT) of transcranial magnetic stimulation motor-evoked potential (MEP) were recorded, and a correlation analysis was conducted. ResultsThe scores of FMA-UE, WMFT and MBI, and MEP cortical amplitude, cortical latency and CMCT improved in both groups after treatment (t > 3.177, P < 0.01), and they were better in the experimental group than in the control group (t > 3.610, P < 0.01). The scores of FMA-UE and WMFT negatively correlated with MEP cortical latency and CMCT, and positively correlated with MEP cortical amplitude (|r| > 0.448, P < 0.001). ConclusionHD-tDCS is effective on upper limb motor function and activities of daily living for patients with ischemic stroke, and can improve corticospinal motor conduction.

To analyze inpatient mortality cases in a tertiary general hospital in Beijing based on diagnosis-related groups (DRG), with the aim of providing references for healthcare quality management.

OBJECTIVE To construct ensemble learning models for predicting high-use days of budesonide based on meteorological factors， thereby providing reference for hospital pharmacy management. METHODS Meteorological data for 2024 and outpatient budesonide usage data from the jurisdiction of Sanming Hospital of Integrated Traditional Chinese and Western Medicine were collected. High-use days were defined as the 75th percentile of outpatient budesonide usage， and a corresponding dataset was established. The prediction task was formulated as a classification problem， and three ensemble learning models were developed： Random Forest， Extreme Gradient Boosting （XGBoost）， and Histogram-based Gradient Boosting Classifier. Model performance was evaluated using accuracy， precision， recall， F1-score， and log-loss. Model interpretability was analyzed using Shapley Additive Explanations （SHAP）. RESULTS The Histogram-based Gradient Boosting Classifier achieved the best performance （accuracy＝0.75， F1-score＝0.48）， followed by XGBoost （accuracy＝0.74， F1-score＝0.43） and Random Forest （accuracy＝0.72， F1-score＝0.22）. SHAP results suggested that the prediction results of the last two models have the highest correction. CONCLUSIONS Ensemble learning models can effectively predict high-use days of budesonide， with the Histogram- based Gradient Boosting Classifier demonstrating the best predictive performance. Low temperature， high humidity， and low atmospheric pressure show significant positive impacts on the prediction of daily budesonide usage.

BACKGROUND: The main cause of restenosis after percutaneous transluminal angioplasty (PTA) is the excessive proliferation and migration of vascular smooth muscle cells (VSMCs). Lin28a has been reported to play critical regulatory roles in this process. However, whether CCAAT/enhancer-binding proteins β (C/EBPβ) binds to the Lin28a promoter and drives the progression of restenosis has not been clarified. Therefore, in the present study, we aim to clarify the role of C/EBPβ-Lin28a axis in restenosis. METHODS: Restenosis and atherosclerosis rat models of type 2 diabetes ( n   =  20, for each group) were established by subjecting to PTA. Subsequently, the difference in DNA methylation status and expression of C/EBPβ between the two groups were assessed. EdU, Transwell, and rescue assays were performed to assess the effect of C/EBPβ on the proliferation and migration of VSMCs. DNA methylation status was further assessed using Methyltarget sequencing. The interaction between Lin28a and ten-eleven translocation 1 (TET1) was analysed using co-immunoprecipitation (Co-IP) assay. Student's t -test and one-way analysis of variance were used for statistical analysis. RESULTS: C/EBPβ expression was upregulated and accompanied by hypomethylation of its promoter in restenosis when compared with atherosclerosis. In vitroC/EBPβ overexpression facilitated the proliferation and migration of VSMCs and was associated with increased Lin28a expression. Conversely, C/EBPβ knockdown resulted in the opposite effects. Chromatin immunoprecipitation assays further demonstrated that C/EBPβ could directly bind to Lin28a promoter. Increased C/EBPβ expression and enhanced proliferation and migration of VSMCs were observed after decitabine treatment. Further, mechanical stretch promoted C/EBPβ and Lin28a expression accompanied by C/EBPβ hypomethylation. Additionally, Lin28a overexpression reduced C/EBPβ methylation via recruiting TET1 and enhanced C/EBPβ-mediated proliferation and migration of VSMCs. The opposite was noted in Lin28a knockdown cells. CONCLUSION Our findings suggest that the C/EBPβ-Lin28a axis is a driver of restenosis progression, and presents a promising therapeutic target for restenosis.
Animals ; Cell Proliferation/genetics* ; Cell Movement/genetics* ; Muscle, Smooth, Vascular/metabolism* ; Rats ; DNA Methylation/physiology* ; CCAAT-Enhancer-Binding Protein-beta/genetics* ; Male ; Myocytes, Smooth Muscle/cytology* ; Rats, Sprague-Dawley ; RNA-Binding Proteins/genetics* ; Cells, Cultured ; Coronary Restenosis/metabolism*

HDAC7, a member of class IIa HDACs, plays a pivotal regulatory role in tumor, immune, fibrosis, and angiogenesis, rendering it a potential therapeutic target. Nevertheless, due to the high similarity in the enzyme active sites of class IIa HDACs, inhibitors encounter challenges in discerning differences among them. Furthermore, the substitution of key residue in the active pocket of class IIa HDACs renders them pseudo-enzymes, leading to a limited impact of enzymatic inhibitors on their function. In this study, proteolysis targeting chimera (PROTAC) technology was employed to develop HDAC7 drugs. We developed an exceedingly selective HDAC7 PROTAC degrader B14 which showcased superior inhibitory effects on cell proliferation compared to TMP269 in various diffuse large B cell lymphoma (DLBCL) and acute myeloid leukemia (AML) cells. Subsequent investigations unveiled that B14 disrupts BCL6 forming a transcriptional inhibition complex by degrading HDAC7, thereby exerting proliferative inhibition in DLBCL. Our study broadened the understanding of the non-enzymatic functions of HDAC7 and underscored the importance of HDAC7 in the treatment of hematologic malignancies, particularly in DLBCL and AML.

Glucose oxidase (GOD) is an oxygen-consuming dehydrogenase that can catalyze the production of gluconic acid hydrogen peroxide from glucose, and its specific mechanism of action makes it promising for applications, while the low catalytic activity and poor thermostability have become the main factors limiting the industrial application of this enzyme. In this study, we used the glucose oxidase AtGOD reported with the best thermostability as the source sequence for phylogenetic analysis to obtain the GOD with excellent performance. Six genes were screened and successfully synthesized for functional validation. Among them, the glucose oxidase AhGODB derived from Aspergillus heteromorphus was expressed in Pichia pastoris and showed better thermostability and catalytic activity, with an optimal temperature of 40 ℃, a specific activity of 112.2 U/mg, and a relative activity of 47% after 5 min of treatment at 70 ℃. To improve its activity and thermal stability, we constructed several mutants by directed evolution combined with rational design. Compared with the original enzyme, the mutant T72R/A153P showcased the optimum temperature increasing from 40 to 50 ℃, the specific activity increasing from 112.2 U/mg to 166.1 U/mg, and the relative activity after treatment at 70 ℃ for 30 min increasing from 0% to 33%. In conclusion, the glucose oxidase mutants obtained in this study have improved catalytic activity and thermostability, and have potential for application.
Glucose Oxidase/chemistry* ; Enzyme Stability ; Aspergillus/genetics* ; Pichia/metabolism* ; Temperature ; Catalysis ; Fungal Proteins/metabolism* ; Hot Temperature

As a practical carrier for promoting the tiered diagnosis and treatment model, the medical consor-tium is of great significance for balancing medical resources and boosting medical service efficiency. The construction of medical consortiums not only improves the accessibility of high-quality medical resources for patients, but also enhances the diagnostic and treatment level of member units. Meanwhile, it provides space for the leading hospital to adjust the structure of diseases and improve the level of discipline construction. As the core of medical insurance payment reform, DRG, through indicators such as the case mix index(CMI) and the number of diagnosis related group (DRG), provides objective and quantified data support for case management and disease structure optimization, thus effectively guiding the rational allocation of medical resources and the adjustmentof diseases and surgical types within the medical consortium. Comprehensive use of DRG evaluation indicators can construct a multidimensional medical consortium construction evaluation system, provides a clear direction for medical consortium cooperation, thereby promoting the overall healthy and sustainable development of medical consortiums and achieving a win-win situation for all parties involved. This paper, based on the "1+5+1" medical consortium cooperation model centered around Peking Union Medical College Hospital, utilizes DRG indicators to analyze the benefits for patients, member hospitals, and the leading hospital during the medical consortium construction process, with the hope of providing reference for the construction of a medical consortium evaluation system.

To analyze the disease group structure and its trends in key departments of large public hospitals using diagnosis related group (DRG) data, explore the key points of intervention and optimization of disease groups in departments, and further promote the rational allocation of department resources.

Amid challenges of adapting to an aging society and maintaining sustainable healthcare financing, DRG forms a comprehensive suite of healthcare management tools, serving not only as a payment management tool but also encompassing budget management and healthcare quality control. However, further exploration of DRG's potential, which includes stimulating intrinsic motivations, and maximizing its positive incentive effects, requires continuous exploration and implementation. This paper discusses the standardization of clinical practices, localization of guidelines, minimization of iatrogenic harm, and popularization of economic evaluation, with the aiming of optimizing clinical pathways, standardizing medical practices, and balancing the challenges and opportunities of cost control and clinical innovation under the DRG payment model.

In July 2024, the National Healthcare Security Administration issued "Notice on Printing and Distributing the 2.0 Edition Grouping Scheme for Diagnosis Related Group(DRG) and Disease-based Payment and Further Advancing Related Work, " marking the official entry of China's DRG payment reform into the 2.0 era. In the 2.0 edition of the DRG grouping scheme, the number of DRGs has increased by six groups, and that of the adjacent DRGs has increased by 33 groups, featuring more scientific and reasonable grouping that aligns better with clinical practice. The National Healthcare Security Administration has also clarified five supporting management mechanisms, including the special case negotiation mechanism, the fund prepayment mechanism, the negotiation and consultation mechanism, the feedback mechanism for opinion collection, and the data disclosure mechanism. These are aimed at optimizing the management of DRG payment reform to ensure a win-win situation for medical institutions, healthcare security departments, and patients. The release of the DRG 2.0 edition provides medical institutions with more refined management tools and a more reasonable paymentmechanism. Medical institutions need to actively embrace this reform, optimize internal management, and improve service quality to achieve cost control and efficiency enhancement, ultimately leading to a win-win situation for patients, healthcare security funds, and medical institutions.