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.

Neuroendocrine carcinoma (NEC) represents a category of malignant tumors originating from neuroendocrine cells. Given that NEC cells exhibit characteristics of both neural and endocrine cells, they can hijack neuronal signaling pathways and dynamically regulate the expression of neuronal lineage markers during tumor metastasis, thereby constructing a microenvironment conducive to tumor growth and metastasis. Conversely, alterations in the tumor microenvironment can enhance the interactions between neurons and tumor cells, ultimately synergistically promoting the metastasis of NEC. This review highlights recent advancements in the field of cancer neuroscience, uncovering neuronal lineage markers in NEC that facilitate tumor dissemination through mediating crosstalk, bidirectional communication, and synergistic interactions between tumor cells and the nervous system. Consequently, the latest findings in tumor neuroscience have enriched our understanding of the biological mechanisms underlying tumor metastasis, opening new research avenues for a deeper comprehension of the complex biological processes involved in tumor metastasis, particularly brain metastasis. This review provides a comprehensive review of the crosstalk between tumor cells and neural signaling in the metastasis of NEC.
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Humans ; Carcinoma, Neuroendocrine/metabolism* ; Signal Transduction ; Animals ; Neoplasm Metastasis ; Neurons/pathology* ; Tumor Microenvironment ; Cell Communication

The small-molecule alkaloid halofuginone (HF) is obtained from febrifugine. Recent studies on HF have aroused widespread attention owing to its universal range of noteworthy biological activities and therapeutic functions, which range from parasite infections and fibrosis to autoimmune diseases. In particular, HF is believed to play an excellent anticancer role by suppressing the proliferation, adhesion, metastasis, and invasion of cancers. This review supports the goal of demonstrating various anticancer effects and molecular mechanisms of HF. In the studies covered in this review, the anticancer molecular mechanisms of HF mainly included transforming growth factor-β (TGF-β)/Smad-3/nuclear factor erythroid 2-related factor 2 (Nrf2), serine/threonine kinase proteins (Akt)/mechanistic target of rapamycin complex 1(mTORC1)/wingless/integrated (Wnt)/β-catenin, the exosomal microRNA-31 (miR-31)/histone deacetylase 2 (HDAC2) signaling pathway, and the interaction of the extracellular matrix (ECM) and immune cells. Notably, HF, as a novel type of adenosine triphosphate (ATP)-dependent inhibitor that is often combined with prolyl transfer RNA synthetase (ProRS) and amino acid starvation therapy (AAS) to suppress the formation of ribosome, further exerts a significant effect on the tumor microenvironment (TME). Additionally, the combination of HF with other drugs or therapies obtained universal attention. Our results showed that HF has significant potential for clinical cancer treatment.

Background Occupational stress has emerged as a critical public health concern affecting the physical and mental well-being of workers in the manufacturing sector. However, researchers typically evaluate its core driver—cumulative fatigue—using a crude binary “present/absent” variable, thereby overlooking the high-dimensional complexity and heterogeneity inherent in fatigue characteristics. This oversimplification constrains both the precision and predictive performance of occupational stress risk assessment model. Objective Leveraging a data-driven approach, to survey data on cumulative fatigue among manufacturing employees, and then use this new classification to develop and validate an occupational stress prediction model, with an ultimate aim of enhancing the accuracy and effectiveness of occupational stress assessment. Methods A set of cross-sectional survey data on 3871 manufacturing employees in 2021 were derived from the “Long working hours exposure and its adverse health effect risk assessment” program of the National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Occupational stress was assessed using the Core Occupational Stress Measurement Scale, while cumulative fatigue was evaluated via the Worker’s Self-Diagnostic Questionnaire for Fatigue Accumulation. Boruta method was applied to screen core variables from 20 occupational stress influencing factors. Dimensionality reduction of cumulative fatigue features was performed using a Bayesian sparse autoencoder (BASE), followed by comparison and application of clustering methods to achieve multi-class classification of the reduced features. Six machine learning classification models were then selected including logistic regression, support vector machine, decision tree, random forest, adaptive boosting, and lightweight gradient boosting machine (LightGBM) to construct and compare two occupational stress prediction models involving cumulative fatigue combined with ten other core variables: one utilizing the original binary cumulative fatigue label as a core variable, and another employing the novel fatigue classification proposed herein as a core variable. Results The positive rate of occupational stress among the manufacturing employees was 38.9%. The Boruta method identified 11 core variables of occupational stress: depressive symptoms, cumulative fatigue, age, length of service, tenure in current position, average weekly working hours, average daily overtime hours, average monthly income, low levels of exercise, life satisfaction, and sleep quality. The BSAE reduced the original cumulative fatigue factors to 12 dimensions, while the K-means clustering grouped the reduced fatigue features into three categories: no fatigue, moderate fatigue, and sever fatigue. Six occupational stress prediction models were constructed using the three-category labels of cumulative fatigue and ten additional factors. The results indicated that the LightGBM model performed best, achieving an area under the curve (AUC) of 0.78, an accuracy of 0.77, and an F1 score of 0.72. Compared with the model incorporating the traditional binary labels for cumulative fatigue, the best prediction AUC (0.72), accuracy (0.66), and F1 score (0.65) improved by 6%, 11%, and 7%, respectively. Conclusion Cumulative fatigue is a significant predictor of occupational stress among manufacturing employees. Applying data dimensionality reduction combined with three-class cluster analysis to characterize cumulative fatigue improves the performance of occupational stress prediction models. From a data-driven perspective, machine learning methods demonstrate strengths in processing complex datasets, capturing nonlinear relationships, and generating predictions based on key variables. This study therefore confirms that refined processing of core factors substantially enhances the predictive capability of machine learning models in assessing occupational stress risk in the manufacturing workforce.

In recent years, the relationship between intestinal flora dysbiosis and abnormal bile acid metabolism and anxiety has received widespread attention. This article discussed the biological mechanism of the pathogenesis of anxiety from the perspective of intestinal flora and bile acid metabolism, in order to provide new ideas and theoretical basis for the TCM prevention and treatment of anxiety. According to TCM, spleen and stomach belong to earth, liver and gallbladder belong to wood, when spleen qi is healthy, the normal distribution of water and grain essence can be achieved, so that the liver can be nourished, qi and blood is sufficient, and its excretory function is normal, and the bile is sufficient. Once the spleen is not healthy, the distribution of water and grain essence is good, affecting the metabolism of fluids, resulting in phlegm and dampness, the qi is not smooth, can affect the liver's excretory function; liver and wood depression for a long time, transgressing the spleen and earth, qi and blood lack of biochemical sources, the formation of soil congestion and wood depression of the pathological phenomenon will appear. From the viewpoint of modern medicine and molecular biology, changes in the structure of intestinal flora affect the organism through neurological, endocrine, immune and metabolic pathways, which is consistent with the pathogenesis of "congestion of the earth"; disorders in the metabolism of bile acids can lead to changes in neurotransmitters and synaptic structure in the brain, causing anxiety symptoms, which is consistent with the characteristics of "wood depression". The bile acid metabolism disorder can cause neurotransmitter and synaptic structure changes in the brain, causing anxiety symptoms, which is consistent with the characteristics of "wood depression". It is important to regulate the intestinal flora and bile acid metabolism pathway to ease the liver and strengthen the spleen to improve anxiety.

Objective:To explore the role of lactate in Superoxide dismutase 2 (SOD2) lactylation in cerebral ischemia-reperfusion injury in mice.Methods:Male C57BL/6 mice were randomLy (random number) divided into 4 groups: sham operation group (Sham group), Middle Cerebral Artery Occlusion/Reperfusion group (MCAO/R group), Middle Cerebral Artery Occlusion/Reperfusion+2-Deoxy-D-glucose group (MCAO/R+2-DG group), Middle Cerebral Artery Occlusion/Reperfusion+sodium lactate group (MCAO/R+Nala group). Cerebral ischemia reperfusion injury model was established in the mice of MCAO/R group using the thread occlusion. In the MCAO/R+2-DG group, mice received an intraperitoneal injection of 250 mg/kg of 2-DG 90 min before ischemia. Mice in the MCAO/R+ Nala group was given an intraventricular injection of 2 μL of 100 mmol/L Nala 24 h before ischemia. Commercial kits was used to detect lactate levels, Hematoxylin & Eosin Staining (HE) was employed to observe cell morphology, Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) was performed to assess cell apoptosis, and immunofluorescence was utilized to detect reactive oxygen species (ROS). Western blot was conducted to measure SOD2, Superoxide Dismutase 2 Lysine 114 Lactylation(SOD2-K114la), Iron regulatory protein 2(IRP2) and transferrin receptor protein 1(TFR1) levels. The above indicators were analyzed and compared by one-way variance.Results:Compared with the Sham group, the MCAO/R group showed increased levels of lactate, SOD2-K114la, TUNEL positive rate, ROS, IRP2 and TFR1[lactate: (0.608±0.064) vs. (0.376±0.030), P<0.005; SOD2-K114la: (2.311±0.146) vs. (1.009±0.073), P<0.0005; TUNEL positive rate: (35.420±2.832) vs. (0.294±0.147), P<0.0001; ROS: (3.415±0.229) vs. (1.166±0.155), P<0.0001; IRP2: (1.735±0.125) vs. (1.000±0.000), P<0.0001; TFR1: (1.611±0.058) vs. (1.000±0.000), P<0.0001], while SOD2 decreased[(0.545±0.062) vs. (1.082±0.088), P<0.0001]. HE staining indicated brain damage. Compared with the MCAO/R group, the MCAO/R+2-DG group showed reduced levels of lactate, SOD2-K114la, TUNEL positive rate, ROS, IRP2, and TFR1[lactate: (0.453±0.047) vs. (0.608±0.064), P<0.05; SOD2-K114la: (1.764±0.188) vs. (2.311±0.146), P<0.05; TUNEL positive rate: (23.800±3.168) vs. (35.420±2.832), P<0.005; ROS: (2.640±0.213) vs. (3.415±0.229), P<0.005; IRP2: (1.463±0.055) vs. (1.735±0.125), P<0.05; TFR1: (1.252±0.081) vs. (1.611±0.058), P<0.005], with higher level of SOD2 [(0.727±0.026) vs. (0.545±0.062), P<0.05]. Meanwhile, HE staining indicated reduced damage. Compared with the MCAO/R group, the MCAO/R+Nala group showed increased levels of lactate, SOD2-K114la, TUNEL positive rate, ROS, IRP2 and TFR1[lactate: (1.021±0.051) vs. (0.608±0.064), P<0.0001; SOD2-K114la: (3.479±0.275) vs. (2.311±0.146), P<0.0005; TUNEL positive rate: (53.430±3.551) vs. (35.420±2.832), P<0.0001; ROS: (4.687±0.253) vs. (3.415±0.229), P<0.0001; IRP2: (2.463±0.117) vs. (1.735±0.125), P<0.0001; TFR1: (2.209±0.094) vs. (1.611±0.058), P<0.0001], with decreased levels of SOD2 [(0.286±0.040) vs. (0.545±0.062), P<0.0001]. And HE staining revealed worsened braindamage. Conclusions:Increased lactate levels can enhance the lactylation of SOD2, exacerbating brain damage after Cerebral ischemia reperfusion injury(CIRI). Inhibiting lactate production may alleviate brain injury by regulating iron Metabolism.

Objective: To evaluate the effects of different surface treatment methods and simulated aging on the roughness, microhardness, and color stability of lithium disilicate glass ceramics(LDC). Methods: The LDC were grouped and performed 5 kinds of surface treatments: control group, polishing group, polishing+polishing paste group, glazing group, polishing+glazing group. The roughness and microhardness of the specimen were measured. Then the specimens were divided into two subgroupswhich were treated with water and staining solution. The specimens were measured color parameters before and after processing. The above data was analyzed. Results: The LDC had changes in surface roughness and microhardness after different surface treatments. The polishing+polishing paste group had the lowest surface roughness, and the surface microhardness of the LDC decreased after glazing. After simulating aging, the difference of color and transparency of the polishing+polishing paste group, glazing group, and polishing+glazing group were the smallest. Conclusion Different surface treatments and simulated aging have a certain impact on the roughness, microhardness, and color stability of LDC. Fine polishing with polishing paste has a comparable anti staining effect to glazing on LDC.

Objective: To explore the current status of knowledge, attitudes and practices (KAP) regarding tuberculosis(TB)prevention and control among high school students, and to compare differences between male and female students, so as to provide a scientific basis for targeted TB prevention and control measures in high schools. Methods: From April to May 2024, a stratified cluster random sampling method was employed to conduct an electronic questionnaire survey among 1 912 students from 10 high schools using a compiled questionnaire on KAP towards TB prevention and control. The AMOS 26.0 software was utilized to construct structural equation modeling (SEM) and compared the difference among genders. Results: The overall awareness rate of core TB knowledge among high school students in Gongshu District was 76.62%. Additionally, core knowledge about TB (6.28±1.44), prevention attitudes (6.02±1.84), and prevention practices (6.38±2.11) scores of female students were higher than those of male students (5.96±1.74, 5.59±2.21, 6.15±2.23) ( t =4.31, 4.64, 2.25, P <0.05). The SEM showed that knowledge had a strong positive impact on practices and attitudes among boys, with total effect values of 0.963 and 0.819 , respectively; while the positive influence of attitudes on practices was relatively weak, with a total effect value of 0.186. Among girls, attitudes had a positive impact on practices and knowledge, with total effect values of 0.479 and 0.222, respectively. Conclusions The pathways and strengths of influence of KAP in the SEM of TB prevention and control differ between male and female high school students. Therefore, differentiated strategies should be implemented for TB health education targeting male and female high school students.

Since the first Drug Administration Law was issued in 1984， the drug regulation of China has undergone a forty- year process. During these four decades， China’s drug regulatory system has gradually transitioned from being extensive to refined， and the concept of supervision has become increasingly scientific. This paper first outlines the historical evolution of China’s drug regulatory laws and regulations since the founding of the People’s Republic of China， with a focus on the historical origins of the revision of the Drug Administration Law during 1984-2001. It also clarifies the new challenges faced by drug regulation as the industry innovates and develops， as well as the corresponding reform of the drug review and approval system. The paper summarizes the reform achievements of drug regulation. By studying and analyzing the challenges faced by drug regulation in terms of regulatory capacity， regulatory resources， and regulatory system in the context of internationalization of the industry， the paper proposes policy suggestions such as establishing a cross-regional regulatory system， reforming the review mechanism， strengthening the construction of the review team， and enhancing transparency in regulatory practices， with the aim of promoting the high-quality development of the pharmaceutical industry.

Objective To provide reference for the optimization and improvement of interoperability between the standard system of the Chinese Pharmacopoeia and other standards.Methods The interoperability of various pharmacopoeia standard systems was compared by searching for citations from the Chinese Pharmacopoeia,the United States Pharmacopoeia-National Formulary,the European Pharmacopoeia,the Japanese Pharmacopoeia,and other standards,including references to domestic regulations and guidelines,standards of the International Organization for Standardization,guidelines from the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use,documents of the World Health Organization,and standards from other countries and international organizations.Results In recent years,pharmacopoeias in the world had continuously increased the citation of non pharmacopoeial standards.The types,quantities,and fields of the United States Pharmacopoeia-National Formulary referencing other standards far exceed those of other pharmacopoeias.The Chinese Pharmacopoeia cites the least number of other standards.Conclusion It is suggested that the Chinese Pharmacopoeia should enhance the interoperability with other standard systems in the standards of various professional fields,enhance the openness,harmonization and advantages,and form a more complete standard system.