ObjectiveTo explore the effects of Wumeiwan on liver metastasis and lung metastasis of colorectal cancer and its potential mechanism. MethodsFirstly， mice were randomized into control， low-dose （20 g·kg^-1） Wumeiwan， high-dose （40 g·kg^-1） Wumeiwan， and paclitaxel （10 mg·kg^-1） groups. Secondly， liver metastasis and lung metastasis models of colorectal cancer were established in mice. After 4 weeks of intervention， the body weight of each mouse was recorded， and the lung weight， liver weight， and survival time of mice with metastatic colorectal cancer were determined. Hematoxylin-eosin （HE） staining was employed to detect the effects of Wumeiwan on liver metastasis and lung metastasis. Real-time PCR was employed to determine the mRNA levels of M1 and M2 macrophage markers in the liver tissue. Finally， the content of M1 macrophage markers CD80 and CD86 in the liver tissue was measured by flow cytometry. ResultsCompared with the control group， Wumeiwan and paclitaxel reduced the body weight （P<0.01） and liver weight （P<0.01） and prolonged the survival of the mouse model of liver metastasis of colorectal cancer （P<0.01）. In the mouse model of lung metastasis of colorectal cancer， Wumeiwan and paclitaxel also reduced the body weight （P<0.01） and lung weight （P<0.01） and extended the survival time （P<0.01）. Histopathological results showed that compared with the control group， Wumeiwan inhibited the liver and lung metastases of colorectal cancer. Real-time PCR results showed that compared with the control group， Wumeiwan upregulated the mRNA levels of M1 macrophage markers IL-1β， IL-6， tumor necrosis factor-α （TNF-α）， inducible nitric oxide synthase （iNOS）， and prostaglandin-endoperoxide synthase 2 （PTGS2） in the liver and lung tissue of mice with liver metastasis and lung metastasis of colorectal cancer （P<0.01）. Meanwhile， Wumeiwan downregulated the mRNA levels of M2 macrophage markers Arg1， CD163， and CD206 （P<0.01）. Meanwhile， the flow cytometry results showed that compared with the control group， Wumeiwan increased the content of CD86 and CD80 （P<0.01）. In addition， immunohistochemical results showed that Wumeiwan promoted the expression of CD86 and inhibited the expression of CD206 in the liver and lung tissue of mice with liver metastasis and lung metastasis. ConclusionWumeiwan can inhibit the liver metastasis and lung metastasis of colorectal cancer by promoting the M1 polarization of macrophages in the liver and lung of the model mice.

Climate change is altering the Earth's water cycle system. The resulting three extreme weather events—heatwaves, droughts, and extreme precipitation—impacts urban and rural water security through multi-layered mechanisms. A primary structural disparity exists between urban and rural systems: while urban areas benefit from comprehensive and standardized pipe networks that ensure terminal water quality, rural areas often suffer from "last mile" vulnerability due to inadequate infrastructure and outdated purification facilities. Extreme weather can directly alter the microbial community structure, concentrations of chemical pollutants and physicochemical properties of source water. These alterations interfere with the efficiency of water treatment processes and ultimately compromise the integrity of distribution systems. Because distribution networks often lack real-time monitoring and adaptive response capabilities, they have emerged as the most vulnerable link in the "water source-water treatment-distribution system" chain. Based on a systematic analysis of these chain-wide impacts, this paper proposed a series of control strategies, including security frameworks based on multi-model coupling and water source protection measures, improvement of water treatment technologies, optimization of distribution systems, and development of new water quality monitoring methods. These strategies aim to enhance the climate adaptability of urban and rural drinking water systems through multi-dimensional intervention, providing a theoretical basis for constructing climate-resilient water infrastructure.

Objective To investigate the biological functions of the ERG3 gene in Candida albicans and its potential value in antifungal therapy. Methods The ERG3 null mutant was constructed by the CRISPR/Cas9 technology. Gas chromatography-mass spectrometry, microbroth dilution method, hyphal induction and mouse systemic infection models were carried out to evaluate sterol metabolism, drug susceptibility, hyphal formation ability and pathogenicity in C. albicans. Results The disruption of the ERG3 gene led to disordered sterol metabolism in C. albicans with a significant increased level of episterol, 14α-methylfecosterol and ergosta-7,22-dienol. The ERG3 null mutant exhibited significantly reduced susceptibility to antifungal azole and polyene drugs, which suggested that ERG3 involve in regulating drug resistance. Although the disruption of ERG3 inhibited hyphal growth and biofilm formation, it did not significantly alter the pathogenicity of the strain in a mouse model of systemic fungal infection. Conclusion The ERG3 gene was a key regulator in the ergosterol synthesis pathway in C. albicans. Its deletion induced multi-drug resistance by reshaping sterol metabolism, while pathogenicity maintenance depended on compensatory mechanisms. This study provided critical insights for developing antifungal drugs targeting sterol metabolism and overcoming drug resistance.

BACKGROUND: The incidence and mortality rates of lung cancer remain on the rise, creating an urgent need for screening among high-risk populations and early prevention. This study aims to explore the association and interaction between multidimensional lifestyle, socioeconomic status, and the incidence of lung cancer, and to provide scientific evidence for screening high-risk populations and preventing lung cancer. METHODS: Healthy lifestyle score was constructed using information on smoking, alcohol consumption, exercise, diet and sleep obtained through a questionnaire survey. Socioeconomic status was evaluated based on information on education, employment, and family income, and genetic testing data were used to assess the risk of genetic variation. A proportional hazards assumption test was conducted, and the Cox proportional hazards model was applied to analyze the associations between healthy lifestyle scores, socioeconomic status, and lung cancer, as well as the interactions among various factors, after adjusting for the risk of genetic variation, age, gender, diabetes, hypertension and the living environment score. RESULTS: A total of 245,538 samples that entered the cohort from March, 2006 to October, 2010 were included and followed up until December 31, 2022. The participants were divided into the case group (n=1472) and the control group (n=244,066). The analysis results showed that after adjusting for covariates, there was still an association between the healthy lifestyle score, socioeconomic status, and the incidence of lung cancer: compared with participants with a high healthy lifestyle score, the risk of lung cancer in participants with medium and low healthy lifestyle scores was significantly increased, with hazard ratios (HR) of 2.12 (95%CI: 1.86-2.41) and 3.36 (95%CI: 2.82-3.99) respectively; compared with participants with high socioeconomic status, the risk of lung cancer in participants with medium and low socioeconomic status was significantly increased, with HR of 1.29 (95%CI: 1.13-1.48) and 1.67 (95%CI: 1.46-1.90) respectively. Moreover, there were interactions between smoking status and socioeconomic status (Pfor interaction=0.05), as well as the other four lifestyle factors (Pfor interaction=0.02). CONCLUSIONS This study identified the association between multidimensional lifestyle factors and socioeconomic status with the incidence of lung cancer, as well as interactions between smoking and socioeconomic status and four other lifestyle factors, providing a scientific basis for screening and prevention in high-risk populations for lung cancer.
Humans ; Lung Neoplasms/epidemiology* ; Male ; Female ; Middle Aged ; Incidence ; Life Style ; Social Class ; Aged ; Adult ; Risk Factors

Objective To understand the changing trend of Internet outpatient visits in public hospitals,and provide support for the development planning of Internet hospitals.Methods Using the data of Internet outpatient visits in a public hos-pital from January 2021 to June 2023,the ARIMA model and GM(1,1)model were constructed respectively.The mean absolute error(MAE)and root mean square error(RMSE)were used to evaluate the fitting effect,and the Internet outpatient visits from July to December 2023 were predicted based on the dominance model.Results ARIMA(1,2,1)model and GM(1,1)model were used to predict the number of return visits of Internet outpatient service.The average absolute errors were 369.86 and 978.84,and the root-mean-square errors were 479.49 and 1444.83,respectively.The ARIMA(0,1,0)model and GM(1,1)model were used to predict the number of Internet outpatient consultations.The average absolute errors were 297.23 and 369.62,and the root-mean-square errors were 413.61 and 496.30,respectively,indicating that the ARIMA model has a good prediction effect.The forecast results show that the predicted value of Internet outpatient visits in December 2023 is 14,831 cases,and the predicted value of consultation visits is 7461 cases.Conclusion The number of Internet outpatient visits in a public hospital will continue to rise from 2021 to 2023.Therefore,hospitals should fully realize the importance of Internet medical services,take ac-tive measures to continuously optimize the medical service model,and provide patients with high-quality,efficient and convenient Internet medical services.

Objective To investigate the changing trend of the current situation of Internet-based oncology outpatient treatment and provide support for the development and management of Internet hospitals.Methods The ARIMA and GM(1,1)models were constructed based on the Internet-based outpatient data of a cancer hospital from January 2021 to June 2023,and the fitting effect was evaluated by mean absolute error(MAE)and root mean square error(RMSE).Based on the model,the pro-portion of Internet-based outpatient visits and the offline outpatient visits were predicted from July to December 2023.Results ARIMA(1,1,2)and GM(1,1)models were used to predict the proportion of Internet-based outpatient visits.The average abso-lute errors were 2.06%and 2.41%,and the root-mean-square errors were 3.01%and 3.17%,respectively.The ARIMA(0,1,1)and GM(1,1)models were used to predict the proportion of Internet-based outpatient visits to the offline outpatient visits,with the rate of the average absolute errors of 0.58%and 1.08%,respectively,and the rate of the root mean square errors 0.75%and 1.31%,respectively.The figures indicated that the ARIMA model had a better prediction effect.The forecast results showed that the predicted value of Internet outpatient service in December 2023 was 90.35%,and the predicted value of Internet-based outpatient service accounted for 16.46%of the offline outpatient service.Conclusion In 2021-2023,the proportion of Inter-net-based outpatient visits in the cancer hospital showed a steady trend,and the proportion of Internet outpatient visits in the off-line outpatient visits showed a rising trend.Therefore,hospitals need to establish a continuous monitoring mechanism,constantly adjust management strategies and measures to meet the needs of patients and continue to promote the high-quality development of Internet-based medical services.

Objective:To elucidate the quasispecies variation of 3′ half-length genome in HIV-1 CRF103_01B-infected patients in Beijing using single genome amplification (SGA).Methods:This study enrolled six CRF103_01B-infected patients who were diagnosed during a drug resistance monitoring for newly diagnosed cases or newly treated cases with antiviral therapy in Beijing from 2017 to 2020. RNA was extracted from their plasma samples, and 3′ end of cDNA was diluted by serial dilution method after reverse transcription. Nested PCR was used to amplify the 3′ half-length genome sequences of HIV-1 quasispecies. MEGA 11 was used to construct Neighbor-Joining (NJ) tree and calculate the intrahost genetic distance. Genetic variation in HIV-1 quasispecies was visualized by online Highlighter tool. BootScan analysis was performed using Simplot 3.5 software to analyze inter-quasispecies recombination. Virus tropism was predicted by online Geno2pheno tool.Results:Among the six CRF103_01B-infected patients, five were men who have sex with men. A total of 144 3′ half-length genome SGA sequences (19-36 sequences/case) were obtained. The NJ tree based on the 3′ half-length genome of HIV-1 quasispecies revealed different degrees of genetic diversity. The HIV-1 quasispecies in BL4748-00 case of acute infection has the least variation with the intrahost distance of 0.002±0.000, showing genetic homogeneity. The quasispecies sequences from BL4981-00, BL3150-00 and BL3558-00 cases formed at least three subclusters, respectively, with different evolutionary directions, and their intrahost distance ranked from 0.031±0.004 to 0.016±0.002 (BL3150-00>BL3558-00>BL4981-00). The quasispecies sequences from the couple BL3022-00 (female) and BL3023-00 clustered into a large monophyletic cluster (bootstrap value=100%), and the intrahost distance of the latter (0.025±0.003) was higher than that of the former (0.019±0.002). Inter-quasispecies recombination was observed in BL3558-00 case. The quasispecies from the six patients were CCR5-tropic viruses.Conclusions:The diversity of quasispecies variation in CRF103_01B-infected patients is related to disease progress. Genetic homogeneity is observed in acute HIV infection, while multiple evolutionary directions are detected in chronic infection. Co-infection or superinfection cases are not found, but there are recombination events among quasispecies in some cases.

Objective:To analyze the association of CD19+CD24hiCD27+regulatory B cells(Bregs)with ankylosing spondylitis(AS).Methods:Eighty patients with AS in Ganzhou People's Hospital from January 2019 to December 2021 were enrolled as observa-tion group,meantime,another 60 healthy individuals were set as control group.Observation group was further divided into subgroups according to clinical stages and disease activity,advanced stage,ankylosis stage,active stage and non-active stage.Percentage of CD19+CD24hiCD27+Bregs in CD19+cells in peripheral blood of observation group and control group,and observation group patients with different stages were detected and compared,thereafter,relationship between percentage of CD19+CD24hiCD27+Bregs and clini-cal characteristics of AS patients were discussed,such as course of disease,duration of morning stiffness,the Bath Ankylosing Spon-dylitis Disease Activity Index(BASDAI),IL-10,erythrocyte sedimentation rate(ESR),C-reactive protein(CRP)and X-ray classifi-cation of sacroiliitis.Results:Percentage of CD19+CD24hiCD27+Bregs in peripheral blood in observation group was higher than that in control group.Percentage of CD19+CD24hiCD27+Bregs in CD19+cells in AS patients at ankylosis stage was higher than that in patients at advanced stage,and percentage of CD19+CD24hiCD27+Bregs in peripheral blood of patients with bony ankylosis stage was higher than that in patients with fibrous ankylosis stage.Percentage of CD19+CD24hiCD27+Breg in CD19+B cells in active AS patients was sig-nificantly higher than that of patients with stable AS(P<0.05).Serum IL-10 level in observation group was lower than that in control group,while ESR and CRP levels were higher than those in control group,with statistical significance(P<0.05).Percentage of CD19+CD24hiCD27+Breg in CD19+B cells in peripheral blood of AS patients was positively correlated with BASDAI score and serum IL-10 level,while negatively correlated with ESR and CRP levels,and had no correlation with morning stiffness time and X-ray classi-fication of sacroiliitis.Conclusion:Percentage of CD19+CD24hiCD27+Bregs in peripheral blood is reduced in AS patients,moreover,percentage is closely related to disease stage,activity and laboratory indicators IL-10,ESR and CRP,which may be involved in the occurrence and development of AS.

OBJECTIVE To establish HPLC fingerprint of Portulaca oleracea， establish quantitative analysis of multi- components by single-marker （QAMS） method for the content determination of caffeic acid， ferulic acid， genistin and quercetin， and provide reference for quality control of the medicine. METHODS The determination was performed on Eclipse XDB-C18 column with mobile phase consisted of methanol-0.2% phosphoric acid solution （gradient elution） at the flow rate of 1.0 mL/min. The column temperature was 25 °C， and detection wavelength was set at 360 nm. The sample size was 10 μL. HPLC fingerprint of P. oleracea was established according to the above chromatographic conditions. Cluster analysis （CA） and principal component analysis （PCA） were performed for 15 batches of specimens. Using caffeic acid as internal standard， relative correction factors of other three components were calculated by QAMS， and then the component content was calculated on the basis of relative correction factors， which was compared with the external standard method. RESULTS HPLC fingerprints of 15 batches of P. oleracea were calibrated with a total of 17 common peaks， and 4 components （caffeic acid， ferulic acid， genistin， quercetin） were identified； the similarities of 15 batches of samples were greater than 0.890. The results of CA showed that S1-S10 were clustered into one category， and S11-S15 were clustered into one category. The results of PCA revealed that the accumulative contribution rate of the two main components was 92.502%， and the classification results were basically consistent with CA. The linear range of caffeic acid， ferulic acid， genistin and quercetin were 0.003 1-0.157 1， 0.003 6-0.181 7， 0.008 5-0.425 6，0.000 4-0.021 8 mg/mL （R2≥0.999 7）； the results of precision， repeatability， stability （24 h） and recovery tests all complied with the requirements of Chinese Pharmacopoeia. The relative correction factors of ferulic acid， genistin and quercetin calculated by QAMS were 1.534， 5.302 and 0.174； there was no significant difference in the contents of components measured between this method and the external standard method. CONCLUSIONS The established HPLC fingerprint combined with QAMS can be used for the quality control of multiple index components in P. oleracea. The origin has a certain influence on the quality of P. oleracea， and the quality of P. oleracea produced in Sichuan is better than that produced in Anhui and Hebei.

The formation of learning and memory is regulated by synaptic plasticity in hippocampal neurons. Here we explored how gestational exposure to dexamethasone, a synthetic glucocorticoid commonly used in clinical practice, has lasting effects on offspring's learning and memory. Adult offspring rats of prenatal dexamethasone exposure (PDE) displayed significant impairments in novelty recognition and spatial learning memory, with some phenotypes maintained transgenerationally. PDE impaired synaptic transmission of hippocampal excitatory neurons in offspring of F1 to F3 generations, and abnormalities of neurotransmitters and receptors would impair synaptic plasticity and lead to impaired learning and memory, but these changes failed to carry over to offspring of F5 and F7 generations. Mechanistically, altered hippocampal miR-133a-3p-SIRT1-CDK5-NR2B signaling axis in PDE multigeneration caused inhibition of excitatory synaptic transmission, which might be related to oocyte-specific high expression and transmission of miR-133a-3p. Together, PDE affects hippocampal excitatory synaptic transmission, with lasting consequences across generations, and CDK5 in offspring's peripheral blood might be used as an early-warning marker for fetal-originated learning and memory impairment.