The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure in vivo would lead to aggravated kidney damage. In this study, coated aldehyde oxy-starch (CAO) was used as an adsorbent to investigate its in vitro adsorption performance on renal failure indexes for urea, indoxyl sulfate (INS), monomethylamine (MMA), dimethylamine (DMA), uric acid (UA), and creatinine (Cr). The effects of variables such as pH, temperature, concentration, dosage, and time on the adsorption capacity of CAO were systematically investigated, employing analytical techniques of high-performance liquid chromatography (HPLC) and gas chromatography (GC). The results revealed that CAO exhibited a strong adsorption capacity for urea, INS, and MMA, alongside a moderate adsorption capacity for DMA, UA, and Cr. The adsorption kinetics and thermodynamic studies indicated that the adsorption of urea and UA by CAO were fitted in pseudo-first-order kinetics, and the adsorption isotherm aligned with the Freundlich adsorption model. The enthalpy change ΔH of urea in adsorption was in the range of 40 to 60 kJ·mol^-1, which demonstrated the presence of strong adsorption force due to the interactions of coordinating groups. The ΔH of UA was greater than 80 kJ·mol^-1, indicating the generation of chemical bonds during the adsorption. Both of them, Gibbs free energy ΔG was less than 0, within the range of -20 to 0 kJ·mol^-1, suggested that the adsorption of urea and UA by CAO occurred spontaneously as physical adsorption process. The adsorption entropy ΔS of urea and UA was > 0, which indicated an increase in entropy throughout the adsorption. The infrared spectroscopygram showed the formation of a chemical bond, specifically the imine bond, following the adsorption of urea by CAO, thereby indicating a chemical reaction during the adsorption. This study elucidates the adsorption mechanism of CAO on various indexes of renal failure, providing a scientific basis for its clinical usage.

Objective: To explore the dynamic association and gender difference among body dissatisfaction, weight bias internalization and eating disorders in junior high school students, so as to provide the reference for the rational implementation of relevant intervention activitites. Methods: From June to December 2023, a cluster sampling method was used to select 698 students from a middle school in Fuzhou for three followup surveys for a period of 6 months (T1:June 2023, T2:September 2023, T3:December 2023). The Eating Disorders Inventory-Body Dissatisfaction (EDI-BD), the Chinese Version of the Weight Bias Internalization Scale for Mainland Chinese Children and Adolescents (C-WBIS), and the Chinese Version of the Eating Disorder Examination Questionnaire (C-EDE-QS) were used for investigation. Analysis of variance, t test, Pearson correlation analysis and crosslagged analysis were used for statistical analysis. Results: T1 there were statistically significant differences in body dissatisfaction scores among junior high school students of different grades and with or without leftbehind experience (t=-3.25, 2.12, P<0.05). There were statistically significant differences in weight bias internalization (t=-3.03, -2.43, 2.43) and eating disorders (t=-4.64, -2.04, 2.63) among junior high school students of different genders, grades and with or without leftbehind experience (P<0.05). Crosslagged analysis showed that body dissatisfaction was a predictor of weight bias internalization (βT1-T2=0.22, βT2-T3=0.12) and eating disorders (βT1-T2=0.09, βT2-T3=0.17, P<0.01). Eating disorders could predict body dissatisfaction (βT1-T2=0.15, βT2-T3=0.13) and weight bias internalization (βT1-T2=0.14, βT2-T3=0.23, P<0.01). The mutual predictive effect of body dissatisfaction, weight bias internalization and eating disorders varied with gender. T2 weight bias internalization in girls had a predictive effect on T3 body dissatisfaction (β=0.11). T1 and T2 eating disorders in girls had a predictive effect on T2 and T3 weight bias internalization (βT1-T2=0.26, βT2-T3=0.21) (P<0.01). Conclusions Body dissatisfaction, weight bias internalization, and eating disorders of the junior high school students are interconnected. And there is a certain twoway correlation and gender difference between body dissatisfaction, weight bias internalization and eating disorders in junior high school students.

Objective To investigate the changes in eosinophil counts and the activation of microglial cells in the brain tissues of mice at different stages of Angiostrongylus cantonensis infection, and to examine the role of microglia in regulating the progression of angiostrongyliasis and unravel the possible molecular mechanisms. Methods Fifty BALB/c mice were randomly divided into the control group and the 7-d, 14-d, 21-day and 25-d infection groups, of 10 mice in each group. All mice in infection groups were infected with 30 stage III A. cantonensis larvae by gavage, and animals in the control group was given an equal amount of physiological saline. Five mice were collected from each of infection groups on days 7, 14, 21 d and 25 d post-infection, and 5 mice were collected from the control group on the day of oral gavage. The general and focal functional impairment was scored using the Clark scoring method to assess the degree of mouse neurological impairment. Five mice from each of infection groups were sacrificed on days 7, 14, 21 d and 25 d post-infection, and 5 mice from the control group were sacrificed on the day of oral gavage. Mouse brain tissues were sampled, and the pathological changes of brain tissues were dynamically observed using hematoxylin and eosin (HE) staining. Immunofluorescence staining with eosinophilic cationic protein (ECP) and ionized calcium binding adaptor molecule 1 (Iba1) was used to assess the degree of eosinophil infiltration and the counts of microglial cells in mouse brain tissues in each group, and the morphological parameters of microglial cells (skeleton analysis and fractal analysis) were quantified by using Image J software to determine the morphological changes of microglial cells. In addition, the expression of M1 microglia markers Fcγ receptor III (Fcgr3), Fcγ receptor IIb (Fcgr2b) and CD86 antigen (Cd86), M2 microglia markers Arginase 1 (Arg1), macrophage mannose receptor C-type 1 (Mrc1), chitinase-like 3 (Chil3), and phagocytosis genes myeloid cell triggering receptor expressed on myeloid cells 2 (Trem2), CD68 antigen (Cd68), and apolipoprotein E (Apoe) was quantified using real-time quantitative reverse transcription PCR (RT-qPCR) assay in the mouse cerebral cortex of mice post-infection. Results A large number of A. cantonensis larvae were seen on the mouse meninges surface post-infection, and many neuronal nuclei were crumpled and deeply stained, with a large number of bleeding points in the meninges. The median Clark scores of mouse general functional impairment were 0 (interquartile range, 0), 0 (interquartile range, 0.5), 6 (interquartile range, 1.0), 14 (interquartile range, 8.5) points and 20 (interquartile range, 9.0) points in the control group and the 7-d, 14-d, 21-d and 25-d groups, respectively (H = 22.45, P < 0.01), and the median Clark scores of mouse focal functional impairment were 0 (interquartile range, 0), 2 (interquartile range, 2.5), 7 (interquartile range, 3.0), 18 (interquartile range, 5.0) points and 25 (interquartile range, 6.5) points in the control group and the 7-d, 14-d, 21-d and 25-d groups, respectively (H = 22.72, P < 0.01). The mean scores of mice general and focal functional impairment were all higher in the infection groups than in the control group (all P values < 0.05). Immunofluorescence staining showed a significant difference in the eosinophil counts in mouse brain tissues among the five groups (F = 40.05, P < 0.000 1), and the eosinophil counts were significantly higher in mouse brain tissues in the 14-d (3.08 ± 0.78) and 21-d infection groups (5.97 ± 1.37) than in the control group (1.00 ± 0.28) (both P values < 0.05). Semi-quantitative analysis of microglia immunofluorescence showed a significant difference in the counts of microglial cells among the five groups (F = 17.66, P < 0.000 1), and higher Iba1 levels were detected in mouse brain tissues in 14-d (5.75 ± 1.28), 21-d (6.23 ± 1.89) and 25-d infection groups (3.70 ± 1.30) than in the control group (1.00 ± 0.30) (all P values < 0.05). Skeleton and fractal analyses showed that the branch length [(162.04 ± 34.10) μm vs. (395.37 ± 64.11) μm; t = 5.566, P < 0.05] and fractal dimension of microglial cells (1.30 ± 0.01 vs. 1.41 ± 0.03; t = 5.266, P < 0.05) were reduced in mouse brain tissues in the 21-d infection group relative to the control group. In addition, there were significant differences among the 5 groups in terms of M1 and M2 microglia markers Fcgr3 (F = 48.34, P < 0.05), Fcgr2b (F = 55.46, P < 0.05), Cd86 (F = 24.44, P < 0.05), Arg1 (F = 31.18, P < 0.05), Mrc1 (F = 15.42, P < 0.05) and Chil3 (F = 24.41, P < 0.05), as well as phagocytosis markers Trem2 (F = 21.19, P < 0.05), Cd68 (F = 43.95, P < 0.05) and Apoe (F = 7.12, P < 0.05) in mice brain tissues. Conclusions A. cantonensis infections may induce severe pathological injuries in mouse brain tissues that are characterized by massive eosinophil infiltration and persistent activation of microglia cells, thereby resulting in progressive deterioration of neurological functions.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

AIM To study the phenylethanoid glycosides from Verbenae Herba.METHODS The 80%ethanol extract from Verbenae Herba was isolated and purified by silica gel,Sephadex LH-20,TLC and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Nine compounds were isolated and identified as verbofficoside A(1),cistanoside D(2),epimeredinoside A(3),verbascoside(4),isoverbascoside(5),cistanoside C(6),cistanoside F(7),decaffeoylacteoside(8),jionoside C(9).CONCLUSION Compound 1 is a new compound.Compounds 3 and 6-9 are isolated from this plant for the first time.

ObjectiveTo conduct comprehensive assessment of internal and external cadmium exposure and health risks for Shanghai residents. MethodsCadmium levels in food samples were calculated by employing two dietary exposure assessment methods， total diet study （TDS） and food frequency questionnaire （FFQ）， to estimate the daily dietary cadmium exposure of Shanghai residents. The provisional tolerable monthly intake （PTMI） of cadmium set by joint food and agriculture organization/WHO expert committee on food additives （JECFA） was applied to evaluate the health risk. Differences in dietary and urinary cadmium were compared by rank-sum test among different regions， age， gender， smoking status， and BMI groups， and the association between internal and external cadmium exposure was investigated by correlation analysis. ResultsThe mean value of urinary cadmium for 1 300 respondents was 0.542 μg·L^-1. Urinary cadmium was higher in the population in central urban and urban-rural fringe areas than in the suburban area， higher in the older age group than in the younger age group， and higher in the smoking group than in the non-smoking group （all P<0.01）. The two assessment methods showed that the mean values of daily dietary cadmium exposure for Shanghai residents were 0.306 and 0.090 μg·kg^-1， with 3.69% and 0.85% of Shanghai residents exceeding the PTMI， respectively. Correlation analyses showed that dietary exposure to cadmium based on the FFQ method was positively correlated with the urinary cadmium level when smoking status， age， gender， and BMI were adjusted. ConclusionDietary exposure to cadmium of Shanghai residents is mainly derived from vegetables， aquatic products， cereals and potatoes， and is overall at a low-risk level. Dietary exposure assessment based on FFQ and risk monitoring data can effectively estimate long-term cadmium exposure.

Karyopherin α2 (KPNA2) , a key protein molecule that regulates the exchange of substances between the nucleus and the cytoplasm, plays an important role in the nucleocytoplasmic transport pathway. In recent years, an increasing number of studies have shown that KPNA2 is involved in a variety of cellular life activities and plays a significant part in viral infection, cell proliferation, immune response and tumor metastasis. Further study of the mechanism of KPNA2 in promoting the hepatocarcinogenesis and exploring its role in the development of liver cancer may provide new ideas for the diagnosis, treatment, and prognosis of liver cancer.

Objective The aim of this study is to analyze the prevalence of depression and anxiety symptoms and its relationship with the socio-economic position(SEP)among the elderly people in Dai rural areas of Jinggu County,Yunnan province.Methods A multi-stage stratified random sampling method was used to conduct a questionnaire survey among 1409 people aged 60 and over in Dai rural areas of Jinggu County,Yunnan Province.The individual SEP index was constructed using the principal component analysis.Results The prevalence of anxiety symptoms,depression symptoms,and mixed anxiety-depressive disorder symptoms was 4.8%,52.0%,and 4.2% among them,2.6%,49.4%,and 2.3% among the males,and 6.8%,54.5%,and 6.0% among the females respectively.Females had the higher prevalence of anxiety symptoms and mixed anxiety-depressive disorder symptoms than males(P<0.05).Elderly people with the higher level of education,annual per capita household income and SEP had the lower prevalence of anxiety symptoms and mixed anxiety-depressive disorder symptoms than their counterparts(both P<0.05).The prevalence of depression symptoms increased with age(P<0.01).The difference in the prevelence of depression symptoms among the elderly people with the different numbers of chronic conditions was statistically significant(P<0.01).The results of multivariate logistic regression analysis showed that the elderly people with lower SEP were more likely to suffer from the anxiety symptoms(OR=0.707,95% CI:0.566～0.883),depression symptoms(OR=0.492,95% CI:0.438～0.552),and mixed anxiety-depressive disorder symptoms(OR=0.602,95% CI:0.469～0.773).Conclusion There are significant socio-economic differences in the prevalence of anxiety symptoms and depression symptoms among the elderly people in Dai rural areas of Jinggu County,Yunnan province.Future mental health interventions should more focus on females,elderly people with advanced age,multiple chronic diseases and low SEP,so as to reduce the occurrence of depression symptoms and anxiety symptoms.

Objective To explore the characteristics of TCM in the treatment of asymptomatic hyperuricemia based on data mining.Methods Clinical literature on the TCM treatment of asymptomatic hyperuricemia in CNKI,Wanfang Data,VIP and SinoMed was retrieved.After screening,the prescriptions obtained were input into Excel 2019 database,and SPSS Modeler 18.0,SPSS Statistics 26.0 and Cytoscape 3.9.1 were used for frequency analysis,association rule analysis,clustering analysis and factor analysis.Results A total of 133 articles meeting the criteria were included,and 140 prescriptions were included,involving 202 kinds of Chinese materia medica,with a total frequency of 1 387 times.22 drugs,such as Smilacis Glabrae Rhizoma,Coicis Semen,Dioscoreae Spongiosae Rhizoma,Astrctylodis Rhizoma,were frequently used in the treatment of asymptomatic hyperuricemia.The commonly used drugs were drugs for urine excretion to strain off dampness,tonics,clearing heat,promoting blood circulation and removing blood stasis.The medicinal property was mainly warm,the medicinal taste was mainly sweet,and the meridians were mainly liver,spleen,stomach and kidney meridians.21 groups of medicinal combinations were obtained by high frequency drug association rule analysis,among which the core drug pairs were Coicis Semen-Astrctylodis Rhizoma,Smilacis Glabrae Rhizoma-Dioscoreae Spongiosae Rhizoma-Coicis Semen,Coicis Semen-Astrctylodis Rhizoma-Smilacis Glabrae Rhizoma,etc.Clustering analysis obtained 5 clustering methods,and factor analysis obtained 7 common factors.Conclusion In the TCM treatment of asymptomatic hyperuricemia,the main methods are urine excretion to strain off dampness,strengthening spleen and tonifying qi,and the main drugs are Smilacis Glabrae Rhizoma,Coicis Semen,Dioscoreae Spongiosae Rhizoma,Astrctylodis Rhizoma,which can provide reference for clinical treatment of asymptomatic hyperuricemia.

Objective:To investigate the epidemiological characteristics, genotypes and genetic evolution of respiratory syncytial virus (RSV) isolated in Shanghai from April 2020 to December 2021, which was a period from the COVID-19 outbreak to the phase of regular epidemic prevention and control.Methods:This retrospective study collected the nasopharyngeal secretions or nasopharyngeal aspirates of children with acute respiratory tract infection (ARTI) admitted to the Shanghai Children′s Hospital from April 2020 to December 2021. PCR-capillary electrophoresis and RT-PCR were used for virus identification and the amplification of the gene fragment of the second hypervariable region of RSV G protein. Homology analysis and phylogenetic analysis were conducted using bioinformatics software. Chi-square test was used to compare the detection rates of RSV. Results:A total of 6 211 samples were collected and 13.62% (846/6 211) of them were positive for RSV. The positive rates of RSV in male and female patients were 14.07% (503/3 574) and 13.01% (343/2 637), respectively, with no significant gender difference (χ 2=1.467, P=0.226). The highest detection rate of RSV was found in children ≤6 months of age, and the rate of RSV infection decreased gradually with age (χ 2=352.942, P<0.001). No RSV-positive specimens were detected from April 2020 to August 2020, after which the detection rate of RSV gradually increased with two epidemic peaks occurring from December 2020 to February 2021 and from August to October 2021. The predominant epidemic subtype was RSV subtype B in 2020 and the first 9 months of 2021, which was gradually replaced by RSV subtype A in the last 3 months of 2021. The 176 strains of RSV subtype A obtained in this study were all ON1 genotype, and the nucleotide homology of the Shanghai epidemic strains was 90.20%-99.50%. All of the 250 strains of RSV subtype B were BA9 genotype, and the nucleotide homology of the Shanghai epidemic strains was 90.10%-100.00%. Conclusions:From April 2020 to December 2021, with the regular prevention and control of COVID-19, there is a change in the epidemic season of RSV. The prevalent genotypes of RSV subtypes A and B are ON1 and BA9, respectively, and the subtype A gradually replaces subtype B as the most prevalent subtype.