Objective: To explore the effect of replacing rice bowls with trays on controlling the salt intake among school aged children, providing new evidence and insights for salt reduction intervention. Methods: From April to May 2024, 373 students from grades 4-9 at a boarding school in Guizhou Province were enrolled through stratified random cluster sampling, with one intervention class and one control class per grade. During the intervention period for one month, and the types of meals provided, pricing standards, and dining procedures shall remain consistent with daily operations, the intervention group ( n =181) compartmentalized trays for lunch and dinner, while the control group ( n =192) still used a rice bowl. Pre and post intervention assessments included 24 hour urine collection, questionnaire surveys, and physical measurements. The difference in differences analysis combined with multiple linear regression was used to analyze the changes in sodium intake and to evaluate the net effect of the intervention. Results: The post intervention 24 hour sodium intake in the intervention group was ( 2 222.6 ±1 013.6) mg, an increase of 94.6 mg from baseline, with no statistically significant difference ( t=1.10, P >0.05). In contrast, the post intervention 24 hour sodium intake in the control group was (2 080.5±895.7) mg, a decrease of 190.8 mg from baseline, showing a statistically significant difference ( t=-2.39, P <0.05). The difference in differences results indicated that after adjusting the model for factors such as gender, grade and dietary behaviors affecting sodium intake, the intervention group showed a net increase of 232.5 mg [ β(95%CI )=232.5(-40.3-505.2)] in 24 hour sodium intake compared to the control group, with no statistically significant net effect ( P >0.05). Conclusions Merely changing tableware is insufficient to control children s salt intake effectively. Based on continuous practical explorations and evidence based research grounded in the nudge theory, multi dimensional measures such as salt reduction education and the construction of a supportive environment should be integrated to form an intervention system that achieves synergistic and enhanced effects.

Objective To isolate endophytic fungi from Angelica sinensis and evaluate the bioactivity of their secondary metabolites.Methods Angelica sinensis and rhizosphere soil were utilized as materials.The tissue homogenization method was employed with six diverse culture media to isolate endophytic fungi.The antibacterial activity of secondary metabolites was gauged using a 96-well plate assay,while UV spectrophotometry was used to evaluate the inhibitory activity of four enzymes.Results A total of 153 fungal strains were isolated and purified from Angelica sinensis roots,stems,leaves,and soil.The samples exhibited specific inhibitory activities against adenosine deaminase(ADA),β-lactamase,xanthine oxidase(XO),and tyrosinase(TYR),with rates of 45.83%,52.78%,51.39%and 55.56%,respectively.Furthermore,1.39%of the samples displayed wide-ranging inhibitory effects against four indicator bacteria.Strain 6B also showcased the lowest inhibitory concentration values of 62.5 and 7.81 μg/mL against Escherichia coli ATCC25922 and ATCC35218,respectively,signifying its potential research significance.Conclusion Angelica sinensis has abundant endophytic fungal resources and is a good source for discovering active compounds,demonstrating certain research value.

Tumor metastasis is the major cause of death for tumor patients and the key bottleneck of clinical treatment. In recent years， basic and clinical studies have recognized that tumor microenvironment （TME） is highly correlated with tumor metastasis， which provides hope for anti-metastatic drug development and clinical treatment. At present， the mainstream studies on TME represented by immune checkpoint inhibitors （ICIs） mainly focus on the rectification of immune function of T cells and B cells. However， a large number of studies have shown that the significance of other members of TME for tumor metastasis cannot be ignored， which greatly reflects the progress of anti-metastatic research based on TME regulation. This review focused on tumor metastasis， summarized the mechanism of action of non-T and non-B immune cells ［tumor-associated macrophages （TAMs） and tumor-associated neutrophils （TANs）］ and non-immune members ［vascular endothelial cells （ECs）， tumor-associated fibroblasts （CAFs）， and blood platelet］ in the process of tumor metastasis in TME based on the literature over the recent five years， and explored their key value in the treatment of metastasis. At the treatment level， this review focused on the perspective of the integration of frontier and traditional methods and took the functional homeostasis remodeling of TME as the entry point to summarize the activity and mechanism of traditional Chinese medicine （TCM） regulation of non-T and non-B immune cells and non-immune members and highlight its advantages and characteristics in clinical intervention of metastasis. This review helps to break through the limitations of over-reliance on T and B immune cells in anti-metastatic research， make the research rely on a wider range of cell groups， explore the potential value of TME in anti-metastatic drug intervention， and enrich the idea and strategy of understanding the anti-metastatic pharmacological activity. The review is also expected to provide a broader vision for the research and development of new anti-metastatic drugs.

【Objective】 To statistically analyze the relationship between homologous recombination repair deficiency (HRD) score and clinicopathological characteristics, genomic mutations in patients with high-risk and metastatic hormone-sensitive prostate cancer (mHSPC) and the prognostic predictive value in mHSPC. 【Methods】 A total of 127 patients diagnosed with high-risk prostate cancer and mHSPC, treated at the Department of Urology of Chinese PLA General Hospital during Dec.2021 and Nov.2023 were enrolled.Homologous recombination repair (HRR) gene sequencing was performed, and the genomic scar score (GSS) algorithm were conducted to calculate the HRD score.The relationship between HRD scores and clinicopathological features, genomic alterations, and prognosis were analyzed. 【Results】 The median HRD score was 1.6(0.8, 5.2), 30(23.6%) patients’ HRD scores ≥10, and 11(8.7%) patients’ HRD scores ≥20.Clinicopathological features, including ISUP classification ≥4 (P=0.044) and metastatic status (P=0.008) were associated with high HRD score.Patients with mutations in the BRCA, TP53 and MYC systems had significantly higher HRD score than those with wild-type genes (P<0.05).In mHSPC, the risk of biochemical recurrence was 12.836 times higher in patients with HRD score ≥20 than in those with <20 [OR:12.836 (1.332-124.623), P=0.028]. 【Conclusion】 Baseline HRD score was lower in patients with high-risk prostate cancer and mHSPC.Patients with high HRD score may have higher histological grading (ISUP≥4) and later clinical stage.Further investigation is needed to determine the threshold of HRD scores as biochemical markers suggestive of a poor prognosis.

Artemisia argyi (A. argyi), a plant with a longstanding history as a raw material for traditional medicine and functional diets in Asia, has been used traditionally to bathe and soak feet for its disinfectant and itch-relieving properties. Despite its widespread use, scientific evidence validating the antifungal efficacy of A. argyi water extract (AAWE) against dermatophytes, particularly Trichophyton rubrum, Trichophyton mentagrophytes, and Microsporum gypseum, remains limited. This study aimed to substantiate the scientific basis of the folkloric use of A. argyi by evaluating the antifungal effects and the underlying molecular mechanisms of its active subfraction against dermatophytes. The results indicated that AAWE exhibited excellent antifungal effects against the three aforementioned dermatophyte species. The subfraction AAWE6, isolated using D101 macroporous resin, emerged as the most potent subfraction. The minimum inhibitory concentrations (MICs) of AAWE6 against T. rubrum, M. gypseum, and T. mentagrophytes were 312.5, 312.5, and 625 μg·mL^-1, respectively. Transmission electron microscopy (TEM) results and assays of enzymes linked to cell wall integrity and cell membrane function indicated that AAWE6 could penetrate the external protective barrier of T. rubrum, creating breaches ("small holes"), and disrupt the internal mitochondrial structure ("granary"). Furthermore, transcriptome data, quantitative real-time PCR (RT-qPCR), and biochemical assays corroborated the severe disruption of mitochondrial function, evidenced by inhibited tricarboxylic acid (TCA) cycle and energy metabolism. Additionally, chemical characterization and molecular docking analyses identified flavonoids, primarily eupatilin (131.16 ± 4.52 mg·g^-1) and jaceosidin (4.17 ± 0.18 mg·g^-1), as the active components of AAWE6. In conclusion, the subfraction AAWE6 from A. argyi exerts antifungal effects against dermatophytes by disrupting mitochondrial morphology and function. This research validates the traditional use of A. argyi and provides scientific support for its anti-dermatophytic applications, as recognized in the Chinese patent (No. ZL202111161301.9).
Antifungal Agents/chemistry* ; Arthrodermataceae ; Artemisia/chemistry* ; Molecular Docking Simulation ; Mitochondria ; Microbial Sensitivity Tests

The fungal bioluminescence pathway (FBP) is a metabolic pathway responsible for the generation of bioluminescence derived from fungi. This pathway utilizes caffeic acid as the substrate, generating a high-energy intermediate, and the decomposition of which yields green fluorescence with a wavelength of approximately 520 nm. The FBP is evolutionally conserved in luminescent fungal groups. Unlike other bioluminescent systems, the FBP is particularly suitable for engineering applications in eukaryotic organisms, especially in plants. Currently, metabolically engineered luminescent plants are able to emit visible light to illuminate its surroundings, which can be visualized clearly in the dark. The fungal bioluminescent system could be explored in various applications in molecular biology, biosensors and glowing ornamental plants, and even green lighting along city streets.
Luminescence ; Light ; Fluorescence ; Eukaryota ; Green Light

Demyelination of the central nervous system often occurs in neurodegenerative diseases， such as multiple sclerosis （MS）. The myelin sheath， a layer of myelin membrane wrapping the axon， plays a role in the rapid conduction and metabolic coupling of impulses for neurons. The exposure of the axon will lead to axonal degeneratio， and further neuronal degeneration， which is the main cause of dysfunction and even disability in patients with demyelinating neurodegenerative diseases. In addition to the demyelination of mature myelin sheath， remyelination disorder is also one of the major reasons leading to the development of the diseases. The myelin sheath is composed of oligodendrocytes （OLs） derived from oligodendrocyte progenitor cells （OPCs） which are differentiated from neural stem cells （NSCs）. The process of myelin regeneration， i.e.， remyelination， is the differentiation of NSCs into OLs. Recent studies have shown that this process is regulated by a variety of genes. MicroRNAs， as important regulators of neurodegenerative diseases， form a complex regulatory network in the process of myelin regeneration. This review summarizes the main molecular pathways of myelin regeneration and microRNAs involved in this process and classifies the mechanisms and targets. This review is expected to provide a theoretical reference for the future research on the treatment of demyelinating diseases by targeting the regulation of microRNAs.

Purpose/Significance To design a comprehensive data platform to meet the needs of collecting and sharing survey data on meteorological sensitive diseases,so as to enhance monitoring capabilities for meteorological sensitive diseases in China.Method/Process Through various methods such as data extraction,data exchange,data import and customized collection,disease data,meteoro-logical data,environmental data and diagnosis and treatment data are processed and integrated into the platform for unified management.Result/Conclusion This platform realizes the functions of data collection,aggregation,visualization display and data sharing,which can provide support for scientific researchers in various bases across the country to better manage and utilize meteorological sensitive disease survey data.

To analyze the epidemiological characteristics of acute respiratory infections (ARIs) during the autumn-winter season in Beijing, providing evidence for the prevention, control, diagnosis, and treatment of ARIs.

This study aimed to explore key quality control factors that affected the prognosis of intensive care unit (ICU) patients in Chinese mainland over six years (2015-2020). The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and included 2 110 685 ICU patients, for a total of 27 607 376 ICU hospitalization days. We found that 15 initially established quality control indicators were good predictors of patient prognosis, including percentage of ICU patients out of all inpatients (%), percentage of ICU bed occupancy of total inpatient bed occupancy (%), percentage of all ICU inpatients with an APACHE II score ⩾15 (%), three-hour (surviving sepsis campaign) SSC bundle compliance (%), six-hour SSC bundle compliance (%), rate of microbe detection before antibiotics (%), percentage of drug deep venous thrombosis (DVT) prophylaxis (%), percentage of unplanned endotracheal extubations (%), percentage of patients reintubated within 48 hours (%), unplanned transfers to the ICU (%), 48-h ICU readmission rate (%), ventilator associated pneumonia (VAP) (per 1000 ventilator days), catheter related blood stream infection (CRBSI) (per 1000 catheter days), catheter-associated urinary tract infections (CAUTI) (per 1000 catheter days), in-hospital mortality (%). When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that varied in weight regarding quality evaluation: nosocomial infection management (21.35%), compliance with the Surviving Sepsis Campaign guidelines (17.97%), ICU resources (17.46%), airway management (15.53%), prevention of deep-vein thrombosis (14.07%), and severity of patient condition (13.61%). Based on the different weights of the core elements associated with the 15 indicators, we developed an integrated quality scoring system defined as F score=21.35%xnosocomial infection management + 17.97%xcompliance with SSC guidelines + 17.46%×ICU resources + 15.53%×airway management + 14.07%×DVT prevention + 13.61%×severity of patient condition. This evidence-based quality scoring system will help in assessing the key elements of quality management and establish a foundation for further optimization of the quality control indicator system.
Humans ; China/epidemiology* ; Cross Infection/epidemiology* ; Intensive Care Units/statistics & numerical data* ; Quality Control ; Quality Indicators, Health Care/statistics & numerical data* ; Sepsis/therapy* ; East Asian People/statistics & numerical data*