ObjectiveTo evaluate the clinical efficacy and safety of Xiaozhen Formula （消疹方） in preventing skin toxicity induced by epidermal growth factor receptor inhibitors （EGFRIs） in patients with EGFR-mutant non-small cell lung cancer （NSCLC）. MethodsA randomized， double-blind， placebo-controlled， multicenter clinical study was conducted. A total of 120 patients with EGFR-mutant NSCLC from seven centers were enrolled and randomly assigned to a treatment group （60 cases） or a control group （60 cases）. On the basis of EGFRI-targeted therapy， patients in the treatment group received Xiaozhen Formula granules， whereas those in the control group received Xiaozhen Formula placebo granules， both at 10 g twice daily for 4 consecutive weeks. The primary outcomes were the grading of skin toxicity evaluated using the National Cancer Institute Common Terminology Criteria for Adverse Events （NCI-CTCAE） version 5.0 and the incidence of rash. Secondary outcomes included the time to onset and time to resolution of the highest-grade rash， the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 （EORTC QLQ-C30） scores， the Hospital Anxiety and Depression Scale （HADS） scores， and disease control rate， together with safety assessments. ResultsBased on the full analysis set （FAS）， the incidence of skin toxicity in the treatment group was 18.33% （11/60）， significantly lower than 45.00% （27/60） in the control group （P＜0.01）， with the highest severity of skin toxicity in both groups was grade 2. Among patients who developed rash， the resolution rate in the treatment group was 90.91% （10/11）， higher than that 33.33% （9/27） in the control group. The median time to resolution was 15 days （95%CI： 8-17 days） in the treatment group and it was not reached in the control group； the distribution of time to resolution differed significantly between groups （P＜0.001）. After treatment， the treatment group had higher EORTC QLQ-C30 functional scale and global health status/quality-of-life scores， and lower symptom scale， single-item scores， as well as HADS-A， and HADS-D scores than the control group （P＜0.05）. In the FAS analysis， the disease control rate （DCR） was 85.0% （51/60） in the treatment group， lower than 100.0% （60/60） in the control group （P=0.003）， whereas no significant between-group difference was observed in the per-protocol set （PPS） analysis （P=0.464）. The incidence of adverse events did not differ significantly between the two groups （P＞0.05）， and no definite safety signals related to the investigational drug were observed. ConclusionXiaozhen Formula can reduce the incidence of EGFRI-induced skin toxicity， and improve the outcome of rash regression， the patients' quality of life and psychological status in EGFR-mutant NSCLC patients.

This paper uses literature and network data to systematically sort out the theoretical and practical foundations of global public health cooperation,combines expert interviews to conduct empirical analyses,and further explores China's strategies for participating in global public health cooperation through quantitative statistics and text mining of interview data,and proposes a plan for China's participation in global public health cooperation under the current international situation.Under the countercurrents to globalization,China should take its own public health capacity building as the foundation,put global security and health equity at the core,with a philosophy of open cooperation and sustainable development,actively promote bilateral and multilateral cooperation,focus on cultivating global health talents,and enhance the effectiveness of disease prevention and control by making use of existing platforms,international mechanisms and digital health technologies,so as to help build a Global Community of Health for All.

Accurate analysis of metal nanoparticles(MNPs)in sediments is a prerequisite for assessing the ecological risks of MNPs in aquatic environmental sediments.In this study,an analytical method for quantitative detection of concentration and particle size distribution of silver-containing nanoparticles(Ag-NPs),zinc-containing nanoparticles(Zn-NPs),cerium-containing nanoparticles(Ce-NPs),and titanium-containing nanoparticles(Ti-NPs)in sediments was established based on ultrasonic extraction-single particle inductively coupled plasma mass spectrometry(SP-ICP-MS).The effects of sample preparation conditions such as extraction solvent type,solid-liquid ratio,ultrasonic time,and settling time on the recovery of MNPs were investigated.The results showed that the extraction of MNPs from sediment by distilled water could effectively eliminate the high background signal interference introduced by the extractant under the conditions of solid-liquid ratio of 1∶400(g∶mL),ultrasonic extraction time of 1 h and settling time of 3 h.The detection limits for particle size of Ag-NPs,Zn-NPs,Ce-NPs and Ti-NPs in sediments were 31,35,26 and 85 nm,respectively,while the detection limits of particle concentrations were 1.21×104,1.90×104,5.26×107 and 1.48×107 particles/g,respectively.The spiking recoveries of Ag-NPs,Zn-NPs,Ce-NPs and Ti-NPs in sediments were 62.1％-108.7％,with relative standard deviations below 10％.This method could rapidly,accurately and simultaneously determine the concentration and particle size distribution of various MNPs in sediments,and was successfully applied to analysis of Ag-NPs,Zn-NPs,Ce-NPs,and Ti-NPs in authentic marine sediments.

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

This paper uses literature and network data to systematically sort out the theoretical and practical foundations of global public health cooperation,combines expert interviews to conduct empirical analyses,and further explores China's strategies for participating in global public health cooperation through quantitative statistics and text mining of interview data,and proposes a plan for China's participation in global public health cooperation under the current international situation.Under the countercurrents to globalization,China should take its own public health capacity building as the foundation,put global security and health equity at the core,with a philosophy of open cooperation and sustainable development,actively promote bilateral and multilateral cooperation,focus on cultivating global health talents,and enhance the effectiveness of disease prevention and control by making use of existing platforms,international mechanisms and digital health technologies,so as to help build a Global Community of Health for All.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objectives: To find the prognostic factors related to early triple-negative breast cancer to optimize the therapeutic strategies, and explore the influence of programmed cell death ligand-1(PD-L1)expression in early triple-negative breast cancer on its prognosis, so as to provide support for clinical treatment decisions. Methods: Early triple-negative breast cancer patients treated at the National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences during 1st June, 2009 and 31st Oct, 2015 were enrolled in this study. All the clinicopathological data of patients were collected, and the paraffin sections of the surgical specimens were stained with estrogen receptor, progesterone receptor, human epidermal growth factor receptor-2, secreted protein acidic and rich in cysteine (SPARC), androgen receptor, PD-L1 and other antibodies by the immunohistochemical method. Kaplan-Meier survival and Cox regression curves were used for survival analysis of relevant clinical and pathological results and nomogram survival prediction models were established to explore the influence of relevant factors on the prognosis. Results: A total of 205 patients with triple-negative breast cancer were enrolled. Ninety patients (43.9%) were PD-L1 positive. The median follow-up time was 63 months. Thirty-seven patients were relapsed or recurrent and 16 patients were dead. The 5-year disease-free survival (DFS) rate and overall survival (OS) rate were 86.1% (95% CI: 81.4%-90.8%) and 93.6% (95% CI: 91.0%-97.6%), respectively, in the general population. Univariate Cox regression analysis showed that PD-L1 expression and lymph node metastasis were correlated with DFS and OS (P<0.05). In multivariate analysis, PD-L1 expression was an independent influencing factor of DFS, with PD-L1 positive patients possessing a significant survival benefit in DFS (HR=0.31, 95% CI: 0.13-0.73). Lymph node metastasis was an independent influencing factor of OS, and OS was significantly shortened in patients with positive lymph node metastasis (HR=3.24, 95% CI: 1.15-9.17). PD-L1, lymph node metastasis, menopausal status, Ki-67 index and adjuvant chemotherapy regimen were included to establish the 1- and 3-year DFS and OS nomogram prediction models, resulting in C indices of 0.698 and 0.748, respectively. Conclusions: PD-L1 expression is a predictive biomarker of good prognostic factor in triple-negative breast cancer patients. DFS is significantly prolonged in PD-L1 positive patients and OS also shows a prolongation trend. The nomogram prognosis prediction models have reference values for adjuvant chemotherapy in this patient group.
Humans ; Female ; Lymphatic Metastasis ; B7-H1 Antigen/metabolism* ; Triple Negative Breast Neoplasms/pathology* ; Breast Neoplasms ; Osteonectin/therapeutic use* ; Prognosis

Aim To observe the effect of epimedium on the proliferation and stem cell-like character expression of breast cancer cells, and investigate the relationship between the inhibition of stem cell-like character and miR-148a by epimedium, and its molecular mechanism. Methods After treatment with different concentrations of epimedium, cell viability and population dependence were detected by MTT assay and colony formation assay; the breast cancer stem cell-derived mammosphere formation was examined by Mammosphere assay; the expression levels of CD44,ALDH-1, Oct4,BMIl and EpCAM were detected by qPCR; the protein expression levels of EpCAM, SOX4, ZO-1, E-cadherin and vimentin were detected by Western blot; the protein localization of EpCAM was observed by im-munofluorescence assay; the effect of epimedium on migration was detected by wound healing assay. The miR-148a mimic was transfected into MDA-MB-231 cells, and the effects of epimedium on stem-like character expression of transfected MDA-MB-231 cells were observed. Results Epimedium significantly inhibited the proliferation and population dependence of MDA-MB-231 cells (P < 0.05 ), and reduced the breast cancer stem cell-derived mammosphere formation; compared with control group, epimedium significantly decreased mRNA levels of CD44, ALDH-1, Oct4, BMI1 and EpCAM (P <0.05) ,decreased protein contents of EpCAM, SOX4 and Vimentin (P < 0.05 ), up-regulated the protein expression of ZO-1 and e-cadherin ( P <0.05) ,and decreased the migration ability of MDA-MB-231 cells (P < 0.05). Epimedium up-regulated the expression of miR-148a in MDA-MB-231 cells (P <0.01). YYH + miR-148a mimic group significantly inhibited stem-like character expression and EMT process of breast cancer MDA-MB-231 cells compared with control group (P <0.05). Conclusions Epimedium can inhibit the proliferation of MDA-MB-231 cells, which may be related to the up-regulation of miR-148a, decrease of stem-like character expression of breast cancer cells,and inhibition of EMT.

The study aims to investigate the mechanism of Fengshining fecal microbiota transplants in the intervention of rheumatoid arthritis by ultra-performance liquid chromatography-quadrupole/electrostatic field obitrap high-resolution mass spectrometry (UHPLC-Q-Exactive Orbitrap-MS). All animal welfare and experimental procedures followed the regulations of the Medical Ethics Committee of Shanxi University of Chinese medicine. The rats were randomly divided into normal group, model group, fecal microbiota transplantation group and Tripterygium wilfordii polyglycoside group, and the collagen induced arthritis (CIA) was established. The changes of body weight and metatarpodal lesions of rats were evaluated. The serum of rats in each group was analyzed by liquid chromatography-mass spectrometry and metagenomic technology for differential metabolites and microflora. The protein expression levels of Toll-like receptors (TLR4), myeloid differentiation factor 88 (MyD88) and nuclear factor of kappa B (NF-κB p65) were detected by Western blot. A total of 13 different metabolites, including arachidonic acid, docosahexaenoic acid, 13S-hydroxyoctadecanodienoic acid and L-phenylalanine were screened from serum. Three metabolic pathways, including phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism and arachidonic acid metabolism were identified through pathway enrichment. Metagenomic analysis showed that the abundance of g_Bacteroides, g_Prevotella and p_Actinobacteria in CIA group was higher. The abundance of c_Clostridia, g_Akkermansia and s_Akkermansia_muciniphila in fecal microbiota transplantation group is higher. The hierarchical cluster heat map showed that Akkermansia was negatively correlated with L-phenylalanine; while positively correlated with docosahexaenoic acid. Prevotella was positively correlated with L-phenylalanine. Fecal microbiota transplantation group could significantly inhibit the expression of TLR4, MyD88 and p65 proteins in the synovium of rats (P < 0.01). The anti-rheumatoid arthritis effects of fecal microbiota transplantation group is closely related to the intervention of the metabolism of phenylalanine and arachidonic acid, through Akkermansia, Prevotella and other microorganisms, inhibition the TLR4/MyD88/NF-κB pathway.