OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective To propose a low-dose CT image denoising method based on an improved Corediff model to recover the detailed features of the image and enhance the image quality.Methods An RS-Corediff model was established by modifying the key component U-Net network of the Corediff model.Firstly,the residual module was introduced in the network input stage for feature extraction;secondly,a new downsampling module was designed in the U-Net network encoder,which learned the semantic information of the feature map by convolution and maintained the learning state during the downsampling process so as to fully extract the image features;thirdly,the feature splicing processing was used to further enhance the learning effect during the upsampling process of the U-Net network decoder;finally,the convolutional kernel size was modified to adjust the sensory field during the convolutional process of the whole U-Net network structure so as to obtain rich features.The RS-Corediff model was compared with the residual encoder-decoder convolutional neural network(RED-CNN)model and the Corediff model on the public dataset AAPM 2016 in order to verify its effectiveness for low-dose CT image denoising.Results The RS-Corediff model gained advantages over the RED-CNN and Corediff models with a peak signal-to-noise ratio(PSNR)of 41.269 8,structural similarity(SSIM)of 0.953 4 and root mean square error(RMSE)of 17.568 7.Conclusion The proposed method effectively preserves the texture and details of low-dose CT images during the denoising process to improve the overall quality of the images.[Chinese Medical Equipment Journal,2025,46(5):9-13]

Hypertensive nephropathy is one of the common chronic kidney diseases in China,the morbidity and mortality are increasing year by year,which seriously endangers the physical and mental health of patients.Traditional Chinese medicine believes that human is an organic whole,the five viscera and six organs are closely related in physiology and pathology,based on the theory of"holistic concept",the application of Chinese medicine in the treatment of hypertensive nephropathy can effectively improve kidney function and reduce the occurrence of adverse reactions.Therefore,based on the theory of"five viscera in one",this paper summarizes the etiology and pathogenesis of hypertensive nephropathy and the treatment of hypertensive nephropathy from the five aspects of liver,heart,spleen,lung and kidney,aiming to provide new ideas for the prevention and treatment of kidney disease by traditional Chinese medicine.

The engineering application of microbially induced carbonate precipitation(MICP)is limited by pH-dependent conformational dynamics of urease.Focusing on the α-subunit urease from Sporosarcina pasteurii,this study integrated conductivity experiments and constant-pH molecular dynamics simulations to analyze active site conformational dynamics and catalytic function across pH 3-11.Results showed that under neutral conditions(pH 7-8),key histidine residues(HIS139/HIS249)exhibited minimal dis-placement(＜0.5 ?),the longest hydrogen bond lifetime(＞8 ps),highest conformational stability(root mean square deviation,RMSD:0.15-0.18 nm),and optimal catalytic activity(conductivity change rate:0.03 mS/cm·min-1,CaCO3 precipitation:3.84 g).Extreme pH(pH 3/11)induced structural collapse(displacement up to 1.8 ?)and complete activity loss.Simulations revealed that neutral pH sta-bilizes a protonation-dependent cooperative allosteric network by maintaining active site cavity volume(～120 ?3)and moderate conformational coherence(correlation coefficient～0.8).This work deciphers the molecular mechanism of pH-regulated urease dynamics through protonation states,providing theoreti-cal support for MICP applications in acidic mine tailing remediation and alkaline soil stabilization.

OBJECTIVE: To investigate the effect of miR-483-5p on hepatocellular carcinoma (HCC) cells proliferation and stemness, as well as the attenuating effect of Pien Tze Huang (PZH). METHODS: Differentially expressed miRNA between HepG2 cells and hepatic cancer stem-like cells (HCSCs) were identified by a miRNA microarray assay. miR-483-5p mimics were transfected into HepG2 cells to explore the effects of miR-483-5p on cell proliferation and stemness. HepG2 cells and HCSCs were treated with PZH (0, 0.25, 0.50 and 0.75 mg/mL) to explore the effects of PZH on the proliferation and stemness, both in non-induced state and the state induced by miR-483-5p mimics. RESULTS: miR-483-5p was significantly up-regulated in HCSCs and its overexpression increased cell proliferation and stemness in HepG2 cells (P<0.05). PZH not only significantly inhibited proliferation in HepG2 cells, but also significantly suppressed the cell proliferation and self-renewal of HCSCs (P<0.05). The effects of miR-483-5p mimics on proliferation and stemness of HepG2 cells were partially abolished by PZH. CONCLUSIONS miR-483-5p promotes proliferation and enhances stemness of HepG2 cells, which were attenuated by PZH, demonstrating that miR-483-5p is a potential molecular target for the treatment of HCC and provide experimental evidence to support clinical use of PZH for patients with HCC.
Humans ; MicroRNAs/metabolism* ; Cell Proliferation/drug effects* ; Liver Neoplasms/drug therapy* ; Carcinoma, Hepatocellular/drug therapy* ; Hep G2 Cells ; Neoplastic Stem Cells/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Gene Expression Regulation, Neoplastic/drug effects*

OBJECTIVES: To investigate the role and mechanism of fibroblast growth factor (FGF) 19 in inflammation-induced injury of vascular endothelial cells caused by high glucose (HG). METHODS: Human umbilical vein endothelial cells (HUVECs) were randomly divided into four groups: control, HG, FGF19, and HG+FGF19 (n=3 each). The effect of different concentrations of glucose and/or FGF19 on HUVEC viability was assessed using the CCK8 assay. Flow cytometry was utilized to examine the impact of FGF19 on HUVEC apoptosis. Levels of interleukin-6 (IL-6), inducible nitric oxide synthase (iNOS), total superoxide dismutase (T-SOD), and malondialdehyde (MDA) were measured by ELISA. Real-time quantitative PCR and Western blotting were used to determine the mRNA and protein expression levels of vascular endothelial growth factor (VEGF), nuclear factor erythroid 2 related factor 2 (Nrf2), and heme oxygenase-1 (HO-1). Cells were further divided into control, siRNA-Nrf2 (siNrf2), HG, HG+FGF19, HG+FGF19+negative control, and HG+FGF19+siNrf2 groups (n=3 each) to observe the effect of FGF19 on oxidative stress injury in HUVECs induced by high glucose after silencing the Nrf2 gene. RESULTS: Compared to the control group, the HG group exhibited increased apoptosis rate, increased IL-6, iNOS and MDA levels, and increased VEGF mRNA and protein expression, along with decreased T-SOD activity and decreased mRNA and protein expression of Nrf2 and HO-1 (P<0.05). Compared to the HG group, the HG+FGF19 group showed reduced apoptosis rate, decreased IL-6, iNOS and MDA levels, and decreased VEGF mRNA and protein expression, with increased T-SOD activity and increased Nrf2 and HO-1 mRNA and protein expression (P<0.05). Compared to the HG+FGF19+negative control group, the HG+FGF19+siNrf2 group had decreased T-SOD activity and increased MDA levels (P<0.05). CONCLUSIONS FGF19 can alleviate inflammation-induced injury in vascular endothelial cells caused by HG, potentially through the Nrf2/HO-1 signaling pathway.
Humans ; NF-E2-Related Factor 2/genetics* ; Signal Transduction ; Human Umbilical Vein Endothelial Cells/drug effects* ; Fibroblast Growth Factors/pharmacology* ; Heme Oxygenase-1/physiology* ; Apoptosis/drug effects* ; Glucose ; Inflammation ; Interleukin-6/analysis* ; Vascular Endothelial Growth Factor A/genetics* ; Nitric Oxide Synthase Type II/analysis* ; Cells, Cultured

Liposomes serve as critical carriers for drugs and vaccines,with their biological effects influenced by their size.The microfluidic method,renowned for its precise control,reproducibility,and scalability,has been widely employed for liposome preparation.Although some studies have explored factors affecting liposomal size in microfluidic processes,most focus on small-sized liposomes,predominantly through experimental data analysis.However,the production of larger liposomes,which are equally significant,remains underexplored.In this work,we thoroughly investigate multiple variables influencing liposome size during microfluidic preparation and develop a machine learning(ML)model capable of accurately predicting liposomal size.Experimental validation was conducted using a staggered herringbone micromixer(SHM)chip.Our findings reveal that most investigated variables significantly influence liposomal size,often interrelating in complex ways.We evaluated the predictive performance of several widely-used ML algorithms,including ensemble methods,through cross-validation(CV)for both lipo-some size and polydispersity index(PDI).A standalone dataset was experimentally validated to assess the accuracy of the ML predictions,with results indicating that ensemble algorithms provided the most reliable predictions.Specifically,gradient boosting was selected for size prediction,while random forest was employed for PDI prediction.We successfully produced uniform large(600 nm)and small(100 nm)liposomes using the optimised experimental conditions derived from the ML models.In conclusion,this study presents a robust methodology that enables precise control over liposome size distribution,of-fering valuable insights for medicinal research applications.

Liposomes serve as critical carriers for drugs and vaccines, with their biological effects influenced by their size. The microfluidic method, renowned for its precise control, reproducibility, and scalability, has been widely employed for liposome preparation. Although some studies have explored factors affecting liposomal size in microfluidic processes, most focus on small-sized liposomes, predominantly through experimental data analysis. However, the production of larger liposomes, which are equally significant, remains underexplored. In this work, we thoroughly investigate multiple variables influencing liposome size during microfluidic preparation and develop a machine learning (ML) model capable of accurately predicting liposomal size. Experimental validation was conducted using a staggered herringbone micromixer (SHM) chip. Our findings reveal that most investigated variables significantly influence liposomal size, often interrelating in complex ways. We evaluated the predictive performance of several widely-used ML algorithms, including ensemble methods, through cross-validation (CV) for both liposome size and polydispersity index (PDI). A standalone dataset was experimentally validated to assess the accuracy of the ML predictions, with results indicating that ensemble algorithms provided the most reliable predictions. Specifically, gradient boosting was selected for size prediction, while random forest was employed for PDI prediction. We successfully produced uniform large (600 nm) and small (100 nm) liposomes using the optimised experimental conditions derived from the ML models. In conclusion, this study presents a robust methodology that enables precise control over liposome size distribution, offering valuable insights for medicinal research applications.

Objective To investigate the potential therapeutic effects,targets,and pathways of wogonoside in hypertension-induced renal injury using the Gene Expression Omnibus(GEO)database and network pharmacology,and to validate the effects of wogonoside intervention on the renal tissues of spontaneously hypertensive rats(SHR),angiotensin Ⅱ(Ang Ⅱ)-stimulated NRK-52E cell apoptosis,and the regulation of relevant pathways through in vivo and in vitro experiments.Methods GEO dataset and network pharmacology analyses were performed to investigate the key therapeutic targets of wogonoside for hypertensive nephropathy.The STRING database was used to analyze protein-protein interactions.Biological functions were annotated via Gene Ontology(GO),and the potential signaling pathways were enriched using the Kyoto Encyclopedia of Genes and Genomes(KEGG).SHR were randomly divided into groups and given low,medium,or high doses of wogonoside(0.075,0.75,and 7.5 mg/kg)via gastric gavage for 10 weeks.Morphological changes in the kidney tissue were assessed by hematoxylin-eosin(HE)staining.Serum levels of inflammatory cytokines,including tumor necrosis factor α(TNF-α),interleukin(IL)-1 β,and IL-6,were measured using ELISA.Apoptosis rates were evaluated by TUNEL staining,and Western blot was performed to determine the expression of Bax,Bcl-2,cleaved caspase-3,and caspase-3,and the expression of phosphorylated and total extracellular signal-regulated kinases(ERK)and p38 mitogen-activated protein kinase(MAPK)proteins.An in vitro model of Ang Ⅱ-stimulated NRK-52E cells was constructed and was treated with wogonoside at different concentrations(25,50,or 100 μmol/L)for 24 h.The apoptosis rates were then assessed by Annexin V staining,and Western blot was performed to validate the expression of apoptosis-related and pathway-associated proteins.Results Analysis of dataset GSE41453 revealed 11673 upregulated and 5902 downregulated genes in the renal tissues of SHR compared to the Wistar Kyoto(WKY)rats,or the WKY control group.Through the analysis of multiple databases,371 potential targets of wogonoside were identified,resulting in 98 overlapping targets.From these,45 core therapeutic targets were identified through further analysis,including TNF,CASP3,etc.GO analysis significantly enriched processes such as the negative regulation of apoptosis.KEGG pathway enrichment analysis highlighted the apoptosis pathway,IL-17 signaling pathway,and MAPK signaling pathway as being significantly enriched.Wogonoside treatment effectively mitigated pathological damage in SHR kidney tissues and significantly inhibited the expression of inflammatory cytokines,including TNF-α,IL-1 β,and IL-6(P＜0.05).It also decreased cell apoptosis rates in SHR kidney tissues and Ang Ⅱ-stimulated NRK-52E cells,downregulated the expression of Bax and cleaved caspase-3,and upregulated Bcl-2 expression(P＜0.05).Furthermore,wogonoside treatment inhibited the phosphorylation of ERK and p38 MAPK in SHR kidney tissues and Ang Ⅱ-stimulated NRK-52E cells(P＜0.05).Conclusion Wogonoside may exert its protective effects against hypertension-induced renal injury by suppressing the inflammatory response and cell apoptosis,potentially through the regulation of the MAPK signaling pathway.

Objective To investigate the potential therapeutic effects of trifolin on hypertension-induced renal injury,as well as the key targets and pathways involved.Methods The mRNA transcriptional profiles of peripheral blood clinical samples from hypertensive patients were analyzed using Gene Expression Omnibus(GEO),a high-throughput gene expression database.The network pharmacology method was employed to screen key targets of trifolin in treating hypertension-induced renal injury.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses were conducted.NRK-52E cells,a rat renal proximal tubular cell line,were used to construct an angiotensin Ⅱ(Ang Ⅱ)-stimulated cell model.Flow cytometry was performed to assess cell apoptosis rates and Western blotting was performed to determine the expression levels of apoptosis-related proteins,including Bax,Bcl-2,cleaved caspase-3,and caspase-3,and the phosphorylation and total protein levels of the key MAPK pathway proteins,including ERK,p38 MAPK,and JNK.Results Analysis of the dataset GSE75360 revealed that,compared with healthy controls,3 331 genes were upregulated and 3 197 genes were downregulated in peripheral blood mononuclear cells of hypertensive patients.According to network pharmacology analysis,472 potential targets of trifolin were identified,including CASP3 and MAPK1.Protein-protein interaction network analysis showed that these targets were closely associated with apoptosis regulatory signaling pathways.GO and KEGG pathway enrichment analyses indicated that trifolin was significantly enriched in pathways associated with negative regulation of apoptosis,apoptotic signaling pathways,and the MAPK signaling pathway.The in vitro experiments confirmed that,compared with the Ang Ⅱ group,trifolin intervention inhibited apoptosis in Ang Ⅱ-stimulated NRK-52E cells,suppressed the expression of Bax and cleaved caspase-3,promoted Bcl-2 expression,and inhibited the phosphorylation of p38 MAPK,ERK,and JNK(P<0.05).Conclusion Trifolin may exert its protective effect against hypertension-induced renal injury by inhibiting Ang Ⅱ-induced NRK-52E cell apoptosis and regulating the MAPK signaling pathway,representing an important mechanism underlying its therapeutic action.