Stroke is the leading cause of death and disability among adults in China， and its common complications include digestive system abnormalities， cognitive impairment， depression， stroke-associated pneumonia， and hemiplegia. The combination of traditional Chinese and Western medicine has great potential in treating post-stroke complications. Xinglou Chengqitang （XLCQT） is a representative prescription of alleviating the disease in the upper part by treating the lower part. It has definite therapeutic effect and high safety. Clinically， XLCQT is often used to treat stroke and its complications. However， the quantity and quality of clinical trials of XLCQT in treating post-stroke complications need to be improved. Additionally， since the basic research is weak， the material basis and multi-target mechanism for the efficacy of this prescription are unknown. This article reviews XLCQT in terms of the pharmacodynamic basis， medicinal properties， safety evaluation， and progress in clinical research and mechanisms in treating post-stroke complications. This article summarizes 22 key active ingredients of XLCQT in treating acute stroke complicated with syndrome of phlegm heat and fu-organ excess. Among these key active ingredients， resveratrol， kaempferol， luteolin， chrysoeriol， apigenin， （+）-catechin， and adenosine have good pharmacokinetic properties and high bioavailability. The mechanisms of XLCQT in treating post-stroke complications are complex， including inflammatory response， brain-gut axis， hypothalamic-pituitary-adrenal （HPA） axis， intestinal flora， neurotrophic factors， autophagy， oxidative stress， and free radical damage. This review helps to deeply understand the pharmacodynamic basis and mechanisms of XLCQT in treating post-stroke complications and provides a theoretical basis for the clinical application of XLCQT against post-stroke complications and the development of drugs.

Diabetic kidney disease（DKD） is a chronic kidney structural and functional disorder caused by diabetes. With the global prevalence of diabetes continuing to rise， DKD has gradually become a major cause of chronic kidney disease and end-stage renal disease（ESRD）， posing a serious threat to patients' quality of life and long-term health outcomes. Studies have shown that apoptosis plays a pivotal role in the development and progression of DKD， with its mechanisms involving abnormal activation of multiple signaling pathways such as Toll-like receptor 4（TLR4）/nuclear transcription factor-κB（NF-κB）/B-cell lymphoma-2（Bcl-2）/cysteinyl aspartate-specific proteinase（Caspase）-3， protein kinase R-like endoplasmic reticulum kinase（PERK）/eukaryotic initiation factor 2α（eIF2α）/activating transcript factor 4（ATF4）/CCAAT enhancer-binding protein homologous protein（CHOP）， phosphatidylinositol 3-kinase（PI3K）/protein kinase B（Akt）/glycogen synthase kinase-3β（GSK-3β）， Janus kinase 2（JAK2）/signal transducer and activator of transcription 3（STAT3）， adenosine monophosphate-activated protein kinase（AMPK）/mammalian target of rapamycin（mTOR） and silent information regulator 1（SIRT1）/tumor suppressor protein 53（p53）， thereby accelerating renal pathological damage in DKD. Extensive evidence-based medical studies have confirmed that traditional Chinese medicine（TCM）， leveraging its unique therapeutic advantages of multi-target， multi-component and multi-pathway approaches， has demonstrated remarkable efficacy and favorable safety profiles in treating DKD. Recent studies have demonstrated that active components of TCM can specifically target and modulate key effectors in apoptotic signaling pathways. Meanwhile， traditional compound formulations exert synergistic effects through multiple approaches such as replenishing deficiency and activating blood circulation， detoxifying and dredging collaterals， tonifying kidney essence， and removing stasis and purging turbidity， thereby comprehensively regulating critical pathological processes including endoplasmic reticulum stress and mitochondrial apoptosis pathways. This combined therapeutic approach of molecular targeting and holistic regulation provides novel strategies for delaying the progression of DKD. Based on this， this paper provides an in-depth analysis of key apoptotic signaling pathways and their regulatory mechanisms， while systematically summarizing recent research advances regarding the therapeutic effects of TCM active components， compound formulations， and proprietary Chinese medicines on DKD through modulation of these pathways， with particular emphasis on their underlying molecular mechanisms. These findings not only elucidate the modern scientific connotation and theoretical basis of TCM in treating DKD but also establish a solid theoretical and practical foundation for promoting the wider clinical application and further research of TCM in the field of DKD treatment.

Lung cancer is one of the most common malignant tumors. Brain metastasis, especially meningeal metastasis, is a fatal complication of lung cancer. The sensitivity of traditional diagnostic methods for this disease is limited. As a new technology, cerebrospinal fluid liquid biopsy can noninvasively and dynamically detect the molecular characteristics of intracranial tumors. Cerebrospinal fluid directly contacts the central nervous system lesions. It contains more unique and representative tumor-derived molecular information compared with those obtained from other body fluids such as blood for lung cancer meningeal metastasis, thus remarkably improving the diagnosis and personalized treatment of lung cancer meningeal metastasis. This work reviews the research progress on cerebrospinal fluid liquid biopsy in lung cancer brain metastasis and explores its value in guiding targeted therapy, delineating drug resistance, and evaluating prognostic progression to provide new directions for the clinical diagnosis and treatment of lung cancer brain metastasis.

With the increasing severity of bacterial antibiotic resistance， finding new ways to overcome this global challenge has become an urgent task. Chinese medicine， with abundant resources， offers potential for discovering diverse bioactive ingredients to enhance antibiotic efficacy and alleviate the crisis of bacterial antibiotic resistance. This review summarizes bacterial resistance mechanisms， prevention strategies， and the roles and mechanisms of Chinese medicine and its active ingredients in enhancing the efficacy of existing antibiotics. Two major resistance mechanisms—bacterial obstruction of antibiotic uptake and weakening of intracellular antibiotic activity—are introduced， with corresponding prevention and control strategies outlined. Based on the regulatory effects of active ingredients from Chinese medicine on bacteria， their mechanisms for enhancing antibiotic efficacy are categorized into two types， including improving the bacterial uptake of antibiotics and reducing the bacterial resistance to antibiotics. The former mainly enhances extracellular antibiotic uptake by regulating membrane permeability， biofilm formation， and metabolic pathways. The latter weakens intracellular antibiotic resistance by inhibiting efflux pumps and bacterial resistance targets. Furthermore， compound formulas of Chinese medicine， characterized by multi-component， multi-target， and multi-pathway interventions， exert similar antimicrobial effects and mechanisms with active ingredients， offering rich resources for developing antibiotic-enhancing applications. Finally， the review highlights the challenges such as insufficient structural research on active ingredients and potential druggability issues in their application for antibiotic enhancement. This will provide insights for advancing the research on Chinese active ingredients in antibiotic therapy and offers novel strategies to combat bacterial antibiotic resistance.

With the increasing severity of bacterial antibiotic resistance， finding new ways to overcome this global challenge has become an urgent task. Chinese medicine， with abundant resources， offers potential for discovering diverse bioactive ingredients to enhance antibiotic efficacy and alleviate the crisis of bacterial antibiotic resistance. This review summarizes bacterial resistance mechanisms， prevention strategies， and the roles and mechanisms of Chinese medicine and its active ingredients in enhancing the efficacy of existing antibiotics. Two major resistance mechanisms—bacterial obstruction of antibiotic uptake and weakening of intracellular antibiotic activity—are introduced， with corresponding prevention and control strategies outlined. Based on the regulatory effects of active ingredients from Chinese medicine on bacteria， their mechanisms for enhancing antibiotic efficacy are categorized into two types， including improving the bacterial uptake of antibiotics and reducing the bacterial resistance to antibiotics. The former mainly enhances extracellular antibiotic uptake by regulating membrane permeability， biofilm formation， and metabolic pathways. The latter weakens intracellular antibiotic resistance by inhibiting efflux pumps and bacterial resistance targets. Furthermore， compound formulas of Chinese medicine， characterized by multi-component， multi-target， and multi-pathway interventions， exert similar antimicrobial effects and mechanisms with active ingredients， offering rich resources for developing antibiotic-enhancing applications. Finally， the review highlights the challenges such as insufficient structural research on active ingredients and potential druggability issues in their application for antibiotic enhancement. This will provide insights for advancing the research on Chinese active ingredients in antibiotic therapy and offers novel strategies to combat bacterial antibiotic resistance.

Objective:To investigate the clinical characteristics and risk factors of airway mucus plugging in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).Methods:This was a retrospective cross-sectional study. A total of 322 hospitalized AECOPD patients admitted to the First Affiliated Hospital of Anhui Medical University from February 2023 to February 2025 were enrolled. Based on chest high-resolution computed tomography (HRCT) findings of airway mucus plugging, patients were classified into mucus plugging and non-mucus plugging groups. General and clinical data were collected, including age, sex, disease duration, smoking and alcohol history, comorbidities, number of acute exacerbations in the past year, routine blood tests, biochemical indices, pulmonary function, and pathogen detection. The incidence of airway mucus plugging in AECOPD patients was calculated, and differences in baseline characteristics, laboratory parameters, and pulmonary function between the two groups were compared. Logistic regression was used to identify independent risk factors for mucus plugging, and receiver operating characteristic (ROC) curves were plotted to evaluate the predictive value of relevant indicators.Results:Of the 322 enrolled patients, 87(27.02%) were found to have airway mucus plugging. Univariate analysis revealed statistically significant differences between the mucus plug group and the non-plug group in the following parameters (all P<0.05): body mass index (BMI), disease duration, smoking status, Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification, modified British Medical Research Council (mMRC) dyspnea scale, COPD Assessment Test (CAT) score, frequency of acute exacerbations, neutrophil percentage, absolute lymphocyte count, lymphocyte percentage, albumin, C-reactive protein (CRP), activated partial thromboplastin time, fibrinogen, fibrin(ogen) degradation products, D-dimer, Aspergillus infection rate, percentage of forced expiratory volume in 1 second to predicted value (FEV 1%pred), ratio of FEV 1 to forced vital capacity (FEV 1/FVC), and percentage of maximal mid-expiratory flow to predicted value (MMEF 75/25%pred). Multivariate logistic regression analysis identified the following as independent risk factors for airway mucus plugs (all P<0.05): elevated CRP ( OR=1.022, 95% CI: 1.013-1.036), decreased albumin ( OR=0.891, 95% CI: 0.825-0.959), Aspergillus infection ( OR=1.774, 95% CI: 1.366-2.317), and reduced MMEF 75/25%pred value ( OR=0.978, 95% CI: 0.964-0.990). ROC curve analysis showed that the combined predictive model incorporating CRP, albumin, Aspergillus infection, and MMEF 75/25%pred had an area under the ROC curve (AUC) of 0.776(95% CI: 0.714-0.838), which was superior to each individual indicator alone, with AUCs of 0.721 for CRP, 0.687 for albumin, 0.579 for Aspergillus infection, and 0.631 for MMEF 75/25%pred. Conclusions:AECOPD patients with airway mucus plugging exhibit higher inflammatory markers, poorer nutritional status, a higher likelihood of Aspergillus infection, worse pulmonary function, and poorer prognosis. Aspergillus infection, elevated CRP, decreased albumin, and reduced MMEF 75/25%pred are independent risk factors for mucus plugs in AECOPD.

Objective To investigate the epidemiological characteristics and control measures of dengue fever in Zhongshan City in 2024, so as to provide insights into optimization of dengue fever control strategies in the city. Methods Data pertaining to dengue fever cases in Zhongshan City in 2024 were collected from the Infectious Disease Reporting System of China Disease Prevention and Control Information System, and the epidemiological characteristics of the cases were analyzed using a descriptive statistical method. The density of Aedes albopictus mosquito was monitored across all 23 townships (subdistricts) using Breteau index (BI) and mosquito ovitrap index (MOI) at midmonth each month from March to December 2024. In addition, the climatic characteristics, case reporting patterns, and corresponding control measures were analyzed during different phases of dengue fever epidemics in Zhongshan in 2024. Furthermore, real-time quantitative reverse transcription PCR (RT-qPCR) assay was employed to serotype the dengue virus among local dengue fever cases with unknown sources of infections. The dengue virus envelope (E) gene was sequenced using Sanger sequencing among dengue fever cases without apparent epidemiological links. A phylogenetic tree was constructed using the neighbor-joining method to infer major transmission chains during the dengue fever epi demics. Results A total of 952 dengue fever cases were reported in Zhongshan City in 2024, including 879 local cases, 57 domestically imported cases from other regions, and 16 overseas imported cases, representing the largest outbreak in nearly two decades. The first local dengue fever case was reported on July 5, and the last one was detected on December 19, with all townships and subdistricts affected. Mosquito monitoring data indicated that both MOI and BI rose rapidly from March to May, and then remained at high levels with fluctuations, and began to decline in October. The dengue fever epidemic was categorized into five distinct phases in Zhongshan, including non-epidemic, pre-epidemic, early-epidemic, peak, and receding stages. During the pre-epidemic and early-epidemic phases, key measures included enhancing sensitivity of case detection, implementing isolation and treatment of hospitalized cases, and carrying out standardized vector control measures in affected communities. In the peak phase, the strategy shifted towards targeted mosquito control in key communities and clinical rescue and treatment emphasized on “preventing severe cases and deaths”. Among 481 local cases with unknown sources of infections, RT-qPCR assay revealed that 68.8% (331/481) were infected with dengue virus type I and 31.2% (150/481) with type II among local dengue fever cases in Zhongshan City in 2024. Phylogenetic analysis revealed two major transmission chains: one originating from imported cases within Guangdong Province around Zhongshan City, and another from cases imported from Malaysia. Late detection of local dengue fever cases contributed to widespread community outbreaks. Conclusions The 2024 dengue fever epidemic in Zhongshan City was of considerable scale, which was primarily driven by imported cases from overseas and surrounding regions, leading to local community outbreaks. The epidemic began in early July, increased rapidly during August and September, peaked in October, and subsequently declined, with a trend consistent with the average pattern observed in previous high-incidence years. By implementing differentiated control measures tailored to each phase of the epidemic, the local transmission of dengue fever was successfully contained in Zhongshan City in 2024.

Objective To summarize the best evidence of early rehabilitation management of hand function in patients with hand burn,and provide basis for medical personnel to carry out early rehabilitation management of hand burn.Methods According to the 5S model,all evidence on early rehabilitation management of hand function in patients with hand burns was retrieved from databases and websites including UpToDate,BMJ Best Practice,NICE,RNAO,GIN,and so on.The retrieved evidence included clinical decisions,guidelines,evidence summaries,expert consensuses,systematic reviews,Meta analysis.The search period of the summary of best evidence,expert concensus and guidelines are from the establishment of the database to December 20,2024,and the search period of the systematic reviews is from January 1,2019 to December 20,2024.Quality evaluation of literature,evidence extraction and summary were conducted.The evidence was graded according to JBI evidence pre-grading system 2014.Results Totally 17 pieces of the literature were included,including 1 clinical decision,4 guidelines,6 evidence summaries,3 expert consensus articles,and 3 systematic reviews.Totally pieces of best evidence were summarized,including 7 aspects of assessment,hand positioning,treatment of edema,dressing,use of orthotics,joint mobility training,and health education.Conclusion This study summarized the best evidence of early rehabilitation management of hand function in patients with hand burn,and provided evidence-based evidence for clinical rehabilitation management plan.According to the clinical situation,the medical staff can apply the evidence to clinical practice,so as to improve the hand function and quality of life of patients.

Objective:To investigate the spatial distribution patterns of local tumor progression（LTP）after microwave ablation（MWA）for colorectal liver metastases（CRLMs）and identify high-risk progression zones.Methods:A total of 471 CRLM lesions from 246 patients treated with MWA at the Chinese PLA General Hospital between September 2009 and March 2022 were retrospectively analyzed. Three-dimensional visualized MRI image fusion technology was employed to evaluate the spatial relationship between ablation margins（AM）and LTP. The liver was partitioned into nine specific anatomical regions. Machine learning（Boruta algorithm）was used to assess the importance of these regions on LTP risk. Multivariate analysis of LTP was performed at the tumor level and at the patient level using the Cox mixed effects model and the Cox regression model，respectively.Results:LTP occurred in 115 lesions，with an LTP rate of 40.0%（80/200）in ablated lesions which were located in the high-risk progression area，and 12.9%（35/271）in low-risk progression area. Multivariate analysis identified AM < 5 mm，tumor size ≥3 cm and location in high-risk zones as independent risk factors for LTP. Notably，LTP in high-risk zones predominantly clustered around the ablation needle tip.Conclusions:Post-MWA LTP in CRLMs exhibits distinct spatial clustering，particularly at the needle tip within high-risk progression zones. These findings provide critical insights for optimizing ablation strategies and improving clinical outcomes.

OBJECTIVES: To explore the mechanism of Shuangshu Decoction (SSD) for inhibiting growth of gastric cancer xenografts in nude mice. METHODS: Network pharmacology analysis was conducted to identify the common targets of SSD and gastric cancer cell ferroptosis, and bioinformatics analysis and molecular docking were used to validate the core targets. In the cell experiment, AGS cells were treated with SSD-medicated serum, Fer-1 (a ferroptosis inhibitor), or both, and the changes in cell viability, ferroptosis markers (ROS, Fe²⁺ and GSH), expressions of P53, SLC7A11 and GPX4, and mitochondrial morphology were examined. In a nude mouse model bearing gastric cancer xenografts, the effects of gavage with SSD, intraperitoneal injection of Fer-1, or their combination on tumor volume/weight, histopathology, and expressions of P53, SLC7A11 and GPX4 levels were evaluated. RESULTS: The active components in SSD (quercetin and wogonin) showed strong binding affinities to P53. In AGS cells, SSD treatment dose-dependently inhibited cell proliferation, increased ROS and Fe²⁺ levels, upregulated P53 expression, and downregulated the expressions of SLC7A11 and GPX4, but these effects were effectively attenuated by Fer-1 treatment. SSD also induced mitochondrial shrinkage and increased the membrane density, which were alleviated by Fer-1. In the tumor-bearing mouse models, gavage with SSD significantly reduced tumor size and weight, caused tumor cell necrosis, upregulated P53 and downregulated SLC7A11 and GPX4 expression in the tumor tissue, and these effects were obviously mitigated by Fer-1 treatment. CONCLUSIONS SSD inhibits gastric cancer growth in nude mice by inducing cell ferroptosis via the P53/SLC7A11/GPX4 axis.
Ferroptosis/drug effects* ; Animals ; Stomach Neoplasms/metabolism* ; Tumor Suppressor Protein p53/metabolism* ; Mice, Nude ; Phospholipid Hydroperoxide Glutathione Peroxidase ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Amino Acid Transport System y+/metabolism* ; Mice ; Cell Line, Tumor ; Cell Proliferation/drug effects* ; Xenograft Model Antitumor Assays