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

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 characteristics of clinical and imaging findings in patients with fat embolism syndrome.Methods From January 2021 to October 2022,clinical manifestations of 13 patients with fat embolism due to fracture or or-thopaedic surgery were retrospectively analyzed,including 11 males and 2 females,aged from 17 to 60 years old.Mental and respiratory abnormalities and changes in vital signs occurred after admission or after surgery,and patient's chest and brain imaging results were abnormal.The patient's mental and respiratory abnormalities,vital signs,chest and brain imaging results were continuously monitored.Results The main clinical manifestations of fat embolism syndrome were abnormal pulmonary respiration in 13 patients,abnormal central nervous function in 7 patients,and spotted rash in 2 patients.Chest CT showed dif-fuse distribution of ground glass shadows in 13 patients,and severe symptoms were"snowstorm".Nine patients with ground glass fusion consolidation,5 patients with multiple nodules and 4 patients accompanied by bilateral pleural effusion.Head CT findings of 5 patients were negative,and head MRI findings of 1 patient showed multiple T1WI low signal,T2WI high signal shadow,DWI high signal shadow,and"starry sky sign"in basal ganglia,radiative crown,hemioval center,thalamus,frontal parietal cortex and subcortex.Conclusion Fat embolism syndrome has a high mortality rate.Clinical manifestations of respira-tory system and nervous system are not specific,and the skin spot rash has a characteristic manifestation.The"blizzard"sign is the specific manifestation of chest X-ray and CT examination of fat embolism,and the"starry sky"sign is the typical manifesta-tion of diffusion-weighted sequence of brain MRI examination of fat embolism.

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.

The development status quo of Shanghai's medical device industry was described.By using SWOT analysis method the influencing factors of the industry were analyzed and the key influencing factors were determined.A SWOT strategy matrix was constructed with considerations on the strengths,weaknesses,opportunities and threats of the key influencing factors.Some suggestions were put forward based on the SWOT strategy matrix and weak links of Shanghai's medical device industry to promote the development of the industry,and references were provided for the development of Shanghai's medical device industry.[Chinese Medical Equipment Journal,2024,45(6):77-82]