OBJECTIVE To establish a content determination method for multiple components in Sophora flavescens from different origins and to evaluate its quality by combining with chemometrics. METHODS Thirteen batches （No. K1-K13） of S. flavescens from different origins were selected as test samples. A high-performance liquid chromatography-tandem triple quadrupole mass spectrometry （HPLC-MS/MS） method was established to determine the contents of 12 components， including matrine， oxymatrine， betaine， cytisine， N-methylcytisine， sophoridine， genistein， sophoricoside， sophorone， formononetin， sophorolone Ⅰ and norkurarinone in S. flavescens. Chromatographic separation was performed on a Shim-pack GIST-HP C18 column with a mobile phase consisting of methanol （A） and water containing 0.1% formic acid （B）， using gradient elution at a flow rate of 0.25 mL/min， column temperature of 35 ℃， and an injection volume of 3 μL. Mass spectrometry was conducted using an electrospray ionization source with positive and negative ion scanning. Data were collected in segments using the multiple reaction monitoring mode. Technique for order preference by similarity to ideal solution （TOPSIS） and grey relational analysis （GRA）methods were employed to compare and comprehensively evaluate the 13 batches of S. flavescens from different origins. RESULTS The methodological validation for the content determination met the relevant regulatory requirements. The contents of the 12 components were 490.66-1 231.00， 11 088.10- 18 021.50， 7.91-25.38， 903.97-1 713.64， 336.08-1 485.54，1 065.33-2 075.50， 27.52-71.80， 109.36-517.83， 6 034.55-10 632.73， 21.26-145.35， 814.84-1 911.32， 1 040.87-3 446.37 μg/g）， respectively. TOPSIS results showed that the top 7 samples in Euclidean distance ranking were K6， K12， K11， K3， K5， K10， K13. The GRA results showed that the top 7 samples in the relative correlation ranking were K12， K11， K10， K6， K13， K5， K3. CONCLUSIONS The established HPLC-MS/MS method is rapid， accurate， highly sensitive， stable and reliable. Combined with chemometrics methods， it can be used for the quality control and evaluation of S. flavescens. The comprehensive quality of samples K3， K5， K6（ from Hebei）， K10（ from Sichuan）， K11-K13（ from Shanxi）， etc. is relatively superior.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Ursodeoxycholic acid (UDCA) is a naturally occurring, low-toxicity, and hydrophilic bile acid (BA) in the human body that is converted by intestinal flora using primary BA. Solute carrier family 7 member 11 (SLC7A11) functions to uptake extracellular cystine in exchange for glutamate, and is highly expressed in a variety of human cancers. Retroperitoneal liposarcoma (RLPS) refers to liposarcoma originating from the retroperitoneal area. Lipidomics analysis revealed that UDCA was one of the most significantly downregulated metabolites in sera of RLPS patients compared with healthy subjects. The augmentation of UDCA concentration (≥25 μg/mL) demonstrated a suppressive effect on the proliferation of liposarcoma cells. [¹⁵N₂]-cystine and [¹³C₅]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione (GSH) synthesis. Mechanistically, UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis, leading to reactive oxygen species (ROS) accumulation and mitochondrial oxidative damage. Furthermore, UDCA can promote the anti-cancer effects of ferroptosis inducers (Erastin, RSL3), the murine double minute 2 (MDM2) inhibitors (Nutlin 3a, RG7112), cyclin dependent kinase 4 (CDK4) inhibitor (Abemaciclib), and glutaminase inhibitor (CB839). Together, UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity, and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA. More importantly, in combination with other antitumor chemotherapy or physiotherapy treatments, UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

OBJECTIVE: This study aimed to identify high-risk areas for type 2 diabetes mellitus (T2DM) mortality to provide relevant evidence for interventions in emerging economies. METHODS: Empirical Bayesian Kriging and a discrete Poisson space-time scan statistic were applied to identify the spatiotemporal clusters of T2DM mortality. The relationships between economic factors, air pollutants, and the mortality risk of T2DM were assessed using regression analysis and the Poisson Log-linear Model. RESULTS: A coastal district in East Guangdong, China, had the highest risk (Relative Risk [RR] = 4.58, P < 0.01), followed by the 10 coastal districts/counties in West Guangdong, China (RR = 2.88, P < 0.01). The coastal county in the Pearl River Delta, China (RR = 2.24, P < 0.01), had the third-highest risk. The remaining risk areas were two coastal counties in East Guangdong, 16 districts/counties in the Pearl River Delta, and two counties in North Guangdong, China. Mortality due to T2DM was associated with gross domestic product per capita (GDP per capita). In pilot assessments, T2DM mortality was significantly associated with carbon monoxide. CONCLUSION High mortality from T2DM occurred in the coastal areas of East and West Guangdong, especially where the economy was progressing towards the upper middle-income level.
Diabetes Mellitus, Type 2/epidemiology* ; China/epidemiology* ; Humans ; Risk Factors ; Spatio-Temporal Analysis ; Air Pollutants/analysis* ; Socioeconomic Factors ; Bayes Theorem ; Female ; Male ; Middle Aged

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

The Piezo protein is a non-selective mechanosensitive cation channel that exhibits sensitivity to mechanical stimuli such as pressure and shear stress. It converts mechanical signals into bioelectric activity within cells, thus triggering specific biological responses. In the digestive system, Piezo protein plays a crucial role in maintaining normal physiological activities, including digestion, absorption, metabolic regulation, and immune modulation. However, dysregulation in Piezo protein expression may lead to the occurrence of several pathological conditions, including visceral hypersensitivity, impairment of intestinal mucosal barrier function, and immune inflammation.Therefore, conducting a comprehensive review of the physiological functions and pathological roles of Piezo protein in the digestive system is of paramount importance. In this review, we systematically summarize the structural and dynamic characteristics of Piezo protein, its expression patterns, and physiological functions in the digestive system. We particularly focus on elucidating the mechanisms of action of Piezo protein in digestive system tumor diseases, inflammatory diseases, fibrotic diseases, and functional disorders. Through the integration of the latest research findings, we have observed that Piezo protein plays a crucial role in the pathogenesis of various digestive system diseases. There exist intricate interactions between Piezo protein and multiple phenotypes of digestive system tumors such as proliferation, apoptosis, and metastasis. In inflammatory diseases, Piezo protein promotes intestinal immune responses and pancreatic trypsinogen activation, contributing to the development of ulcerative colitis, Crohn’s disease, and pancreatitis. Additionally, Piezo1, through pathways involving co-action with the TRPV4 ion channel, facilitates neutrophil recruitment and suppresses HIF-1α ubiquitination, thereby mediating organ fibrosis in organs like the liver and pancreas. Moreover, Piezo protein regulation by gut microbiota or factors like age and gender can result in increased or decreased visceral sensitivity, and alterations in intestinal mucosal barrier structure and permeability, which are closely associated with functional disorders like irritable bowel sydrome (IBS) and functional consitipaction (FC). A thorough exploration of Piezo protein as a potential therapeutic target in digestive system diseases can provide a scientific basis and theoretical support for future clinical diagnosis and treatment strategies.

Objective: To assess the nutritional status of primary and secondary school students in Beijing City and to analyze the related factors, so as to provide a scientific basis for improving the nutritional status of primary and secondary school students in a targeted manner. Methods: Based on the 2021 Beijing Student Common Diseases and Health Influencing Factors Surveillance Project, a stratified random cluster sampling method was used to conduct a physical examination and questionnaire survey on 25 487 primary and secondary school students from September to November 2021. The Chi square test was used for comparison of nutritional status detection rates, and disordered multi classification Logistic regression analysis was used to explore the factors associated with students nutritional status. Results: The detection rates of malnutrition, overweight and obesity among primary and secondary school students in Beijing City were 4.7%, 18.0% and 23.8% respectively. The detection rates of malnutrition, overweight and obesity were higher among male students (5.1%, 20.4%, 29.7%) than female students (4.2%, 15.5%, 17.4%) ( χ 2= 12.23, 101.71, 526.99, P <0.01). The detection rate of obesity was higher in the suburbs than urban areas(26.6%, 19.8%), and the detection rate of malnutrition was lower in the suburbs than urban areas (4.2%,5.5%)( χ 2=157.25, 23.61, P <0.01). The results of disordered multi classification Logistic regression showed that the related factors for malnutrition, overweight and obesity were gender, residence, moderate to vigorous exercise ≥60 min per day and lack of sleep( OR =1.70, 1.88,2.48; 1.14, 0.87, 0.67; 0.85, 0.92, 0.81 ; 0.83, 1.08, 1.07); frequency of fried food intake daily was a related factor for overweight ( OR =0.70); whether eating breakfast daily or not was a related factor for overweight and obesity ( OR =0.91, 0.84); academic level (middle and high school) was a related factor for malnutrition and obesity ( OR =1.38, 1.37; 0.77, 1.40)( P <0.05). Conclusions The problem of overweight and obesity among primary and secondary school students in Beijing City continues to be serious, especially among boys and suburban areas. It is recommended that society, schools, families and individuals should work together to improve the nutritional status of primary and secondary school students by adopting a graded and classified approach.

Objective:To study the mechanism of icariin inhibiting the proliferation of human PCa PC-3 cells based on cell metabolomics technology.Methods:We determined the proliferation activity of human PC-3 cells by methyl thiazolyl tetrazolium(MTT)assay,and compared the proliferation of the PC-3 cells among the control,5-fluorouracil and icariin intervention groups.Using the Bligh Dyer method,we extracted endogenous metabolites from the cells,analyzed the metabolic profile by ultra-high pressure liquid chromatography tandem quadrupole time-of-flight mass spectrometry,identified the differential metabolites by principal component anal-ysis and orthogonal partial least-squares discrimination analysis,and enriched the metabolic pathways based on the MetaboAnalyst data-base.Results:Icariin significantly inhibited the proliferation of human PCa PC-3 cells.A total of 89 differential metabolites were i-dentified,mainly including amino acids,phosphatidylcholine,phosphatidylethanolamine,lysophosphatidylcholine,and lysophosphati-dylethanolamine,all with the tendency to return to the normal level after icariin intervention.Icariin significantly downregulated the metabolic levels of the glycerophospholipid metabolites phosphatidylcholine,phosphatidylethanolamine,lysophosphatidylcholine and ly-sophosphatidylethanolamine,and upregulated those of amino acid metabolites tryptophan,leucine,and proline in the PC-3 cells.Conclusion:Icariin inhibits the proliferation of human PCa PC-3 cells,which may be closely related to its regulatory effect on lipid metabolism(glycerophospholipid metabolism)and amino acid metabolism.

Objective:To explore the gene mutations of Langerhans cell histiocytosis in children,and to analyze the correlation of BRAF V600E mutation with clinical features and prognosis of LCH,so as to provide reference for clinical diagnosis and treatment. Methods:Fluorescence PCR was used to detect gene mutations in paraffin-embedded tissue samples from 78 children with LCH,and the correlation of BRAF V600E mutation with clinical characteristics and prognosis of LCH in children was analyzed. Results:Among the 78 children,41 cases (52.6％) had BRAF V600E mutation,8 cases (10.3％) had MAP2K1 mutation,1 case (1.3％) had BRAF Exon 12 mutation,1 case (1.3％) had ARAF mutation,and 1 case (1.3％) had PIK3CA mutation. BRAF V600E mutation was not significantly correlated with sex,age,multisystem involvement,risk-organ involvement,CNS-risk lesions,and early treatment response in children with LCH (P>0.05),and it was also not significantly correlated with the recurrence and event-free survival (EFS) of children with LCH (P>0.05). Conclusion:LCH is an inflammatory myeloid tumor. BRAF V600E mutation is not correlated with clinical features,early treatment response,recurrence and prognosis of LCH.