Objective To analyze the disease burden of chronic kidney diseases (CKD) attributed to high body mass index (BMI) in China from 1992 to 2021 and predict the disease burden for the next decade, and to provide evidence for the prevention and treatment of CKD. Methods Using the Global Burden of Disease (GBD) database and the Joinpoint model, the average annual percentage rate change (AAPC) of the mortality rate and disability-adjusted life year (DALY) rate was calculated to describe and analyze the CKD disease burden attributed to high BMI in China from 1992 to 2021. The ARIMA model was employed to predict and analyze the change trend of the CKD disease burden. Results From 1992 to 2021, the mortality rate and DALY rate attributed to high BMI-induced chronic kidney disease showed an upward trend. Compared to 1992, the attributed number of deaths increased by 324.38%, and DALYs increased by 268.56%; the mortality rate increased by 64.00%, and the DALY rate grew by 51.62%. From 1992 to 2021, the mortality rate and DALY rate for males were lower than those for females, but the growth rate for males exceeded that of females. From 1992 to 2021, the mortality rate and DALY rate of chronic kidney disease attributed to high BMI in China increased with age. The average annual change rate of chronic kidney disease attributed to high BMI in China from 1992 to 2021 (mortality rate: 1.40 per 100,000 (95% CI: 1.04–1.76), DALY rate: 1.43 per 100 000 (95% CI: 1.17–1.70)) was higher than thHuaiyin Normal University, Huai'anher social demographic index (SDI) regions. The ARIMA model predicted that the age-standardized mortality rate increased from 2.91 per 100 000 in 2022 to 3.05 per 100 000 in 2026, and the age-standardized DALY rate increased from 69.65 per 100 000 in 2022 to 73.58 per 100 000 in 2026. Conclusion Chronic kidney disease attributed to high BMI in China is on the rise, and it will continue to grow in the future. The focus of CKD prevention and control should be on males and the elderly, while active measures should be taken to reduce the occurrence and progression of chronic kidney disease.

Polygonatum sibiricum， as a traditional Chinese medicine with both medicinal and edible properties， has attracted considerable attention due to its functions of nourishing Yin and moistening the lungs， tonifying the spleen and benefiting Qi， and nourishing the kidneys and filling essence. Recent studies have demonstrated that Polygonatum sibiricum plays a significant role in regulating the immune system， effectively enhancing and improving the morphology and function of immune organs， stimulating the proliferation and activation of immune cells， and regulating the secretion and release of immune factors， thereby enhancing the immune function of the body and improving various immune-related diseases. Although a large number of studies have explored the pharmacological effects and mechanisms of P. sibiricum， there has been no systematic review and summary of its immune regulatory activity and mechanisms. Therefore， this article comprehensively reviews the research achievements of P. sibiricum polysaccharides and saponins in the field of immune regulation in recent years， and further sorts out the immune regulatory mechanisms of P. sibiricum in multiple aspects： including increasing the organ index of the spleen and thymus， increasing the number and activity of tumor-suppressive bone marrow hematopoietic stem cells， improving intestinal flora imbalance， regulating the quantity and proportion of T lymphocyte subsets， increasing the level of immunoglobulin， promoting the proliferation of macrophages， enhancing the activity of natural killer cells， increasing the number of white blood cells， and promoting the maturation of dendritic cells， providing a solid theoretical basis and scientific evidence for the research and application of P. sibiricum， and promoting its development and application in traditional Chinese medicine immune enhancers and various functional products.

Several types of arthritis share the common feature that the generation of inflammatory mediators leads to joint cartilage degradation. However, the shared mechanism is largely unknown. H2BK120ub1 was reportedly involved in various inflammatory diseases but its role in the shared mechanism in inflammatory joint conditions remains elusive. The present study demonstrated that levels of cartilage degradation, H2BK120ub1, and its regulator WW domain-containing adapter protein with coiled-coil (WAC) were increased in cartilage in human rheumatoid arthritis (RA) and osteoarthritis (OA) patients as well as in experimental RA and OA mice. By regulating H2BK120ub1 and H3K27me3, WAC regulated the secretion of inflammatory and cartilage-degrading factors. WAC influenced the level of H3K27me3 by regulating nuclear entry of the H3K27 demethylase KDM6B, and acted as a key factor of the crosstalk between H2BK120ub1 and H3K27me3. The cartilage-specific knockout of WAC demonstrated the ability to alleviate cartilage degradation in collagen-induced arthritis (CIA) and collagenase-induced osteoarthritis (CIOA) mice. Through molecular docking and dynamic simulation, doxercalciferol was found to inhibit WAC and the development of cartilage degradation in the CIA and CIOA models. Our study demonstrated that WAC is a key factor of cartilage degradation in arthritis, and targeting WAC by doxercalciferol could be a viable therapeutic strategy for treating cartilage destruction in several types of arthritis.

Traditional Chinese medicine (TCM) is an ancient medical system distinctive and effective in treating cancer, depression, coronavirus disease 2019 (COVID-19), and other diseases. However, the relatively abstract diagnostic methods of TCM lack objective measurement, and the complex mechanisms of action are difficult to comprehend, which hinders the application and internationalization of TCM. Recently, while breakthroughs have been made in utilizing methods such as network pharmacology and virtual screening for TCM research, the rise of machine learning (ML) has significantly enhanced their integration with TCM. This article introduces representative methodological cases in quality control, mechanism research, diagnosis, and treatment processes of TCM, revealing the potential applications of ML technology in TCM. Furthermore, the challenges faced by ML in TCM applications are summarized, and future directions are discussed.

Objective:To explore the expression of 7-dehydrocholesterol reductase (DHCR7) in gastric cancer using bioinformatics methods and its relationship with clinical pathological characteristics and prognosis of gastric cancer patients.Methods:DHCR7 expression in gastric cancer was analyzed using the UALCAN database; DHCR7 mRNA expression and its relationship with the prognosis of gastric cancer patients were analyzed using the Kaplan-Meier plotter database; The expression of DHCR7 and its correlation with tumor immune infiltration level were analyzed using Sangerbox 3.0 and TIMER database; Real-time fluorescence quantitative PCR was used to detect the expression of DHCR7 mRNA in gastric cancer tissues and adjacent tissues; immunohistochemical staining was conducted to detect the DHCR7 expression in gastric cancer tissues and adjacent tissues and its correlation with clinical pathological parameters; Receiver operator characteristic (ROC) curve was used to evaluate the efficacy of DHCR7 expression in the diagnosis of gastric cancer.Results:The analysis results of the UALCAN database showed that there were statistically significant differences in DHCR7 mRNA expression among gastric cancer patients of different genders ( χ2=18.15, P<0.001), grades ( χ2=16.32, P<0.001), and TP53 mutation status ( χ2=20.12, P<0.001). Survival analysis showed that the 10-year overall survival (OS) rate ( HR=1.55, 95% CI: 1.31-1.84, P<0.001), 10-year progression free survival (PFS) rate ( HR=1.67, 95% CI: 1.36-2.05, P<0.001), and 10-year post progression survival (PPS) rate ( HR=1.81, 95% CI: 1.43-2.28, P<0.001) of gastric cancer patients with high DHCR7 expression were significantly lower than those with low DHCR7 expression. Immune infiltration analysis showed the expression of DHCR7 was negatively correlated with the comprehensive score ( r=-0.51, P<0.001), stromal cell score ( r=-0.48, P<0.001), immune cell score ( r=-0.45, P<0.001), CD4 + T cells ( r=-3.01, P<0.001), macrophages ( r=-0.40, P<0.001), neutrophils ( r=-0.32, P<0.001), and dendritic cells ( r=-0.37, P<0.001) infiltration levels in gastric cancer, and positively correlated with the purity of gastric cancer cells ( r=0.15, P<0.001). The qRT-PCR results showed that compared with adjacent tissues (1.86±0.51), the expression of DHCR7 in gastric cancer tissues (3.43±0.13) was significantly upregulated, with a statistically significant difference ( t=42.89, P<0.001). The relative expression level of DHCR7 in normal gastric mucosal cells GES-1 was 1.06±0.19, and the relative expression levels in four types of gastric cancer cells (HGC-27, AGS, SNU-1, and SGC-7901) were 2.40±0.26, 1.88±0.11, 1.51±0.04, and 2.63±0.20, respectively, there were statistically significant differences in the expression of DHCR7 among the five types of cells ( F=38.34, P<0.001), and the relative expression level of DHCR7 in normal gastric mucosal cells was statistically significant different compared to the four types of gastric cancer cells mentioned above ( P=0.002; P=0.003; P=0.017; P<0.001) ; The immunohistochemical results showed that the high expression rate of DHCR7 in gastric cancer tissues was 80.0% (96/120), which was significantly higher than that in adjacent tissues (68.3%) (82/120) ( χ2=56.84, P<0.001). There were statistically significant differences in tumor maximum diameter ( χ2=40.17, P<0.001), histological grade ( χ2=16.20, P<0.001) and pTNM stage ( χ2=16.99, P<0.001) between patients with high and low DHCR7 expression. The ROC curve results showed that the area under the curve (AUC) of DHCR7 expression level for diagnosing gastric cancer were 0.76 (based on TCGA database, 95% CI: 0.68-0.83, P<0.001) and 0.97 (120 clinical samples of gastric cancer, 95% CI: 0.95-0.99, P<0.001), respectively. Conclusions:DHCR7 is highly expressed in gastric cancer and closely associated with poor prognosis in patients, which may be a novel biomarker for the diagnosis and prognosis of gastric cancer.

Objective To investigate the mechanisms of Danggui Shaoyao San(DSS)in treating adenomyosis(AM),endometriosis(EMs),and sequelae of pelvic inflammatory disease(SPID)through network pharmacology and molecular docking,guided by the traditional Chinese medicine(TCM)principle of"same treatment for different diseases".Methods Chemical components of DSS were retrieved from the TCMSP and SwissTargetPrediction databases,and their targets were identified.Disease targets for AM,EMs,and SPID were collected from DrugBank,OMIM,GeneCards,and DisGeNET.A Venn diagram was constructed using Venny 2.1 to identify common targets between DSS and the diseases.A"drug-active component-shared target"network was established via Cytoscape 3.7.2.Protein-protein interaction(PPI)networks were analyzed using STRING and Cytoscape 3.7.2 to explore molecular mechanisms.Key targets were localized to tissues using BioGPS.Functional enrichment analysis of GO terms and KEGG pathways was performed via DAVID,followed by molecular docking validation.Results Thirty-nine active components and 529 potential targets of DSS were identified,with 60 shared targets across the three diseases.Enrichment analysis revealed that DSS treats AM,EMs and SPID by modulating cancer-related pathways,the PI3K/Akt signaling pathway,HIF-1 signaling pathway,and TNF signaling pathway.Molecular docking demonstrated stable binding conformations between DSS's primary active components and core targets.Conclusion DSS treats AM,EMs and SPID through multiple compounds[e.g.,(+)-catechin,kaempferol,β-sitosterol]acting on key targets(TNF,EGFR,PTGS2,HIF1A)across various organs,modulating inflammation,immune response,angiogenesis,and cell signaling pathways,thereby exerting its"same treatment for different diseases"effect.

Objective To conduct a visual analysis of research hotspots and development trends in stress ulcer(SU)from 2004 to 2024 using CiteSpace software.Methods Relevant SU literature published between January 1,2004,and May 7,2024,was retrieved from the Web of Science data-base and analyzed visually using CiteSpace software.Results A total of 623 articles were included in this study.The number of publications followed a wavy increase trend from 2004 to 2024.The au-thor with the highest number of publications was MOLLER M H,the institution with the most publica-tions was Copenhagen University Hospital in Denmark,and the country with the most publications was China.Keyword analysis revealed that SU research primarily focused on exploring pathogenesis and developing prophylactic and therapeutic drugs.Conclusion The pathogenesis of SU needs further elucidation.Research on drugs and prevention tailored to different mechanisms inducing SU,the im-pact of enteral nutrition on patient prognosis,and the effectiveness of traditional Chinese medicine in prevention and treatment are hotspots and development trends in future research.

Background Arsenic exposure is a common and important environmental and occupational hazardous factor in China, and arsenic-induced insulin resistance (IR) has attracted widespread attention as a negative health outcome to the population. Objective To explore part of the mechanism of hepatic IR induced by arsenic exposure based on the peroxisome proliferators-activated receptors γ (PPARγ)/ glucose transporter 4 (GLUT4) pathway, and to investigate potential effects of Ginkgo biloba extract (GBE) on hepatic IR induced by arsenic exposure and associated mechanism of action. Methods The target of drug action was predicted by network pharmacology and verified by in vivo and in vitro experiments. In vivo experiments: 48 SPF C57BL/6J male mice were divided into 4 groups, including control group, 50 mg·L⁻¹ NaAsO₂ model group (NaAsO₂), 50 mg·L⁻¹ NaAsO₂+10 mg·kg⁻¹ GBE intervene group (NaAsO₂+GBE), and 10 mg·kg⁻¹ GBE group (GBE), 12 mice in each group. The animals were given free access to purified water containing 50 mg·L⁻¹ NaAsO₂, or given intraperitoneal injection of normal saline containing 10 mg·kg⁻¹ GBE once per week. After 6 months of exposure, blood glucose detection, intraperitoneal glucose tolerance test (IPGTT), and insulin tolerance test (ITT) were performed. Serum and liver tissues were collected after the mice were neutralized, liver histopathological sections were obtained, serum insulin levels, liver tissue glycogen content, glucose content were detected by enzyme linked immunosorbent assay (ELISA), and the expression of PPARγ and GLUT4 proteins was detected by Western blot (WB). In vitro experiments: HepG2 cells were divided into 4 groups, including control group, 8 μmol·L⁻¹ NaAsO₂ group (NaAsO₂), 8 μmol·L⁻¹ NaAsO₂ + 200 mg·L⁻¹ GBE intervene group (NaAsO₂+GBE), and 200 mg·L⁻¹ GBE group (GBE). The levels of glycogen and glucose were detected by ELISA, and the expression of PPARγ and GLUT4 proteins was detected by WB. Results A strong binding effect between GBE and PPARγ was revealed by network pharmacology. In in vivo experiments, the NaAsO₂ group exhibited an elevated blood glucose compared to the control group, and the NaAsO₂+GBE group showed a decreased blood glucose compared to the NaAsO₂ group (P<0.01). The histopathological sections indicated severe liver structural damage in the arsenic exposure groups (NaAsO₂ group and NaAsO₂+GBE group), with varying staining intensity, partial liver cell necrosis, and diffuse red blood cell appearance. Both results of in vitro and in vivo experiments showed a decrease in glycogen synthesis and glucose uptake in the NaAsO₂ groups compared to the control groups, which was alleviated in the NaAsO₂+GBE group (P<0.01). The results of WB revealed inhibited PPARγ expression and reduced GLUT4 levels on the cell membrane, and all these changes were alleviated in the NaAsO₂+GBE group (P<0.01). Conclusion This study findings suggest that GBE antagonizes arsenic exposure-induced hepatic IR by regulating the PPARγ/GLUT4 pathway, indicating that GBE has a protective effect on arsenic exposure-induced hepatic IR, and PPARγ may be a potential therapeutic target for arsenic exposure-induced hepatic IR.

Objective: To explore the relationship between processed food consumption and blood pressure level of students in a university in Yunnan Province, so as to provide the reference for preventing hypertension in university students. Methods: In October 2021, a cluster sampling method was used to select 4 781 freshmen from a university in Kunming, Yunnan Province. The frequency of processed food consumption of university students was assessed by using the dietary frequency questionnaire, and height, weight and blood pressure were measured. Mann-Whitney test and Kruskal-Wallis test were used to compare the differences in blood pressure level of university students with different demographic variables, and the association between processed food consumption and blood pressure level was analyzed with a generalized linear model. Results: Among the students of a university in Yunnan Province, the detection rates of systolic prehypertension and hypertension were 33.86% and 1.23%, and the detection rates of diastolic prehypertension were 32.13% and hypertension 7.22%. The results of generalized linear model analysis showed that after controlling for demographic variables and other variables that might affect the blood pressure level of university students, the consumption of processed food (bread and cake: β =0.15, 95% CI =0.01-0.29) and ultra processed food (coffee beverage: β =-0.29, 95% CI =-0.54--0.03) were associated with systolic blood pressure level( P <0.05). The consumption of processed food (salted duck egg: β =0.21, 95% CI =0.01-0.41) was correlated with the diastolic blood pressure of college students ( P <0.05). Conclusions Processed food consumption in university students may increase the risk of high blood pressure.The education of healthy eating among college students should be strengthened to reduce the consumption of processed foods.