Isosteviol is a tetracyclic diterpenoid compound obtained by hydrolysis of natural stevia glycoside under acidic conditions. It has many pharmacological activities, such as anti-tumor, hypoglycemic, anti-inflammatory and antibacterial. Due to its low water solubility, low activity and low bioavailability, isosteviol has poor performance. In order to overcome these shortcomings, scholars have obtained a large number of isosteviol derivatives with novel structures and excellent activity. In this paper, we review the recent progress in the research on the structure modification, biological activity, structure-activity relationship and microbial transformation of isosteviol, in order to provide a reference for the development of new drugs of isosteviol and its derivatives.

Xanthine oxidase (XO) is an important therapeutic target for the treatment of hyperuricemia and gout. Based on the previously identified potent XO inhibitor 1, seventeen oxadiazoles and their ring-opening analogues were designed and synthesized via the bioisostere replacement strategy. Among them, compounds 2l, 2n, and 3b showed obvious XO inhibitory activity at the concentration of 10 μmol·L^-1, and compound 3b exhibited an IC₅₀ value of 1.45 μmol·L^-1.

Objective: To investigate the association between medium to long term PM 2.5 exposure around school areas and overweight/obesity among primary and secondary school students in Guangxi, providing data support and theoretical foundations for scientifically addressing overweight and obesity in primary and secondary school students. Methods: From September to November 2023, a stratified cluster random sampling method was employed to select 251 183 students aged 7-18 years (grade 1 to grade 12) from 14 prefecture level cities (111 districts and counties) in Guangxi. PM 2.5 mass concentration data were obtained from the Tracking Air Pollution in China (TAP) dataset. Preliminary comparative analysis was conducted using the Mann-Whitney U test, while binary Logistic regression models were applied to quantify the relationship between PM 2.5 exposure and overweight/obesity. Restricted cubic spline analysis was further utilized to examine the nonlinear association between PM 2.5 concentration and overweight/obesity risk. Results: The detection rate of overweight/obesity among Guangxi students in 2023 was 19.5%. The median PM 2.5 concentration in the year prior to the study was higher in the overweight/obesity group (23.22 μg/m 3) compared to the non overweight/obesity group (22.63 μg/m 3) ( Z=-15.66, P <0.01), and consistent trends were observed across gender (male/female) and educational stage (primary/junior/senior high school) subgroups (all P <0.01). Binary Logistic regression revealed that for every 10 μg/m 3 increase in the annual average PM 2.5 concentration, the risk of overweight/obesity increased by 12% ( OR=1.12, 95%CI=1.09- 1.15 , P <0.01). Restricted cubic spline analysis indicated a nonlinear relationship between monthly PM 2.5 levels and overweight/obesity risk ( P trend <0.01). Below 22.68 μg/m 3, PM 2.5 exposure showed no significant association with obesity risk; above the threshold, the risk increased with rising PM 2.5 levels. Conclusion Medium to long term PM 2.5 exposure around school environments is significantly associated with overweight/obesity among primary and secondary school students.

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.

Objective: The association between school bullying and attention deficit hyperactivity disorder (ADHD) symptoms among students in primary schools and the moderating role of gender was explored to provide scientific evidence for the prevention and control of school bullying. Methods: A total of 4 764 students from 2 primary schools in Wuhan were selected using the convenience sampling method in March 2023. The Olweus Bully/Victim Questionnaire and Strengths and Difficulties Questionnaire were used. A Pearson χ 2 test was used to compare differences in school bullying rates among children with and without ADHD symptoms. Pearson correlation analysis and Process 3.3 were used to analyse the association between ADHD symptoms, and school bullying behaviour and the moderating role of gender. Results: The reported rate of bullying victims in primary schools was 24.2% and the rate of bullying perpetration was 3.8%. The rate of ADHD symptom detection among primary school students was 5.9%. ADHD symptoms were positively associated with bullying and bullying victim behaviour ( r =0.16, 0.27, P <0.01). Specifically, the association between ADHD symptoms and bullying behavior tended to be stronger among boys than girls ( β boy =0.17, t =11.13; β girl =0.07, t =4.11, P <0.01). Conclusions ADHD symptoms are an important factor influencing school bullying behaviors in students, and gender moderates the association. In the process of preventing and controlling school bullying, ADHD symptoms and gender differences should be emphasized and comprehensive interventions should be implemented.

Ferroptosis is an iron-dependent cell death caused by phospholipid peroxidation damage of polyunsaturated fatty acids on cell membranes and involves several pathways, including the iron homeostasis regulatory pathway, the cystine glutamate reverse transporter (system Xc) pathway and the voltage-dependent anion channel (VDAC) pathway. Ferroptosis is involved in the development of several diseases (e. g. myocardial infarction, stroke, cancer and degenerative diseases). The ubiquitination is an important post-translational modification of various protein molecules in the organism. Studies have shown that regulating the ubiquitination of ferroptosis pathway-related molecules can control cellular ferroptosis. Targeting the ubiquitination of ferroptosis pathway-related molecules can effectively promote or inhibit ferroptosis, which is expected to be a new strategy for the treatment of cancer or cardiovascular diseases. In this paper we review the progress of the ferroptosis pathways and the ubiquitination modification of ferroptosis-related molecules.

Pyroptosis is the programmed death of cells accompanied by an inflammatory response and is widely involved in the development of a variety of diseases, such as infectious diseases, cardiovascular diseases, and neurodegeneration. It has been shown that cellular scorching is involved in the pathogenesis of pulmonary arterial hypertension ( PAH) in cardiovascular diseases. Patients with PAH have perivascular inflammatory infiltrates in lungs, pulmonary vasculopathy exists in an extremely inflam-matory microenvironment, and pro-inflammatory factors in cellular scorching drive pulmonary vascular remodelling in PAH patients. This article reviews the role of cellular scorch in the pathogenesis of PAH and the related research on drugs for the treatment of PAH, with the aim of providing new ideas for clinical treatment of PAH.

Ten compounds were isolated and purified from ethanol extracts of dried roots bark of Polygala tenuifolia Willd. by various chromatography techniques such as silica gel and Sephadex LH-20. Their structures were identified by analysis of physicochemical properties and spectral data, and determined as β-sitosterol (1), tenuifolin (2), 6-methoxy coumarin (3), 7-phenyl-1-hydroxy-2,3,6-trimethoxyxanthone (4), 1,8-dihydroxy-3,4,7-trimethoxyanthone (5), mangiferin (6), quercetin-3-O-β-D-glucoside (7), rutin (8), syringaldehyde (9), salicylicacid (10). Among them, compounds 3, 4 and 5 were isolated from the genus of Ploygala for the first time and compound 4 was a new xanthone. The acetylcholinesterase inhibitory activities of compounds 3, 4 and 5 were evaluated by Ellman colorimetric method, compounds 3 and 5 exhibited moderate inhibitory activity, compound 4 exhibited weak inhibitory activity.

Due to the high similarity with the lipid layer between human skin keratinocytes, functional cosmetics with layered liquid crystal structure prepared by liquid crystal emulsification technology encapsulating natural active substances have become a hot research topic in recent years. This type of functional cosmetic often has a fresh and natural skin feel, excellent skin barrier repair function and efficient moisturizing effect, etc., showing great potential in cosmetic application. However, the present research on the application of liquid crystal emulsification technology to functional cosmetics is still in the initial stage, and there are fewer relevant reports with reference values. Based on the mentioned above, this review provides a comprehensive summary of functional cosmetics with layered liquid crystal structures prepared by liquid crystal emulsification technology from the following aspects: the structure of human skin, the composition of lamellar liquid crystal, the advantages of liquid crystal emulsification technology containing natural active substances used in the field of functional cosmetics, the preparation process, main components, influencing factors during the preparation and the market functional cosmetics with lamellar liquid crystal structure. Finally, the prospect of the application of liquid crystal emulsification technology in functional cosmetics is presented, to provide useful references for those engaged in the research of liquid crystal emulsification technology-related functional cosmetics.

Objective To compare the influence between self-monitoring of blood gluocose(SMBG)combined with digital diabetes management and traditional management mode on the related clinical indexes in the patients with type 2 diabetes mellitus(T2DM).Methods A total of 100 patients with T2DM treated in the endocrinology and metabolism outpatient department of this hospital from January 2022 to June 2022 and meeting the inclusion criteria of this study were successively included.They were divided into the experimental group and control group.The experimental group was managed by SMBG combined with digital diabetes man-agement mode,while the control group adopted the traditional management mode,the outpatient clinic follow up once a month.After 6 months of follow-up,fasting blood glucose,glycosylated hemoglobin(HbA1c),low density lipoprotein cholesterol(LDL-C)and urinary microalbumin/creatinine ratio(UACR)were compared between the two groups.Results The FBG,HbA1c,LDL-C,and UACR of the experimental group decreased after intervention when compared with baseline.Compared with the control group,the FBG[8.7(7.7,9.2)mmol/L vs.10.8(8.8,12.7)mmol/L,Z=-4.660,P＜0.001],HbA1c[6.3％(5.3,7.8)％vs.8.5％(7.2,10.0)％,Z=-5.130,P＜0.001],LDL-C[2.6(1.8,3.1)mmol/L vs.3.3(2.6,4.0)mmol/L,Z=-4.112,P＜0.001],UACR[16.1(3.5,46.5)mg/g vs.58.4(11.9,108.0)mg/g,Z=-2.220,P=0.026]for patients in the expriemental group after intervention were significantly decreased.Conclusion SMBG combined with digital diabetes management model can significantly improve the clinical indicators of patients.