Diabetic nephropathy(DN)is a serious complication of diabetes mellitus and a leading cause of end-stage renal diseases.In DN patients,key pathological mechanisms include proteinuria,glomerulo-sclerosis,and fibrosis,largely driven by poor glycemic control and oxidative stress caused by prolonged hyperglycemia.This stress damages renal podocytes and triggers inflammatory mesenchymal infiltration of renal tubular cells,exacerbating the progression of proteinuria and fibrosis.Human umbilical cord-de-rived mesenchymal stem cells(hUC-MSCs)offer promising potential for treating DN due to their strong anti-oxidative properties.In this study,we developed a DN mouse model and treated the mouse via tail vein injections of hUC-MSCs(1×106 cells/mouse).The results indicated that hUC-MSCs significantly lowered fasting blood glucose levels(22.5±3.0 vs 14.7±1.1,P＜0.01)and improved glucose toler-ance,as shown by intraperitoneal glucose tolerance test(IPGTT)results(P＜0.05).Additionally,the renal function improved in hUC-MSCs-treated mice,with marked reductions in oxidative stress markers,including blood urea nitrogen(BUN),urinary creatinine(Ucr),urinary protein(PRO),superoxide dismutase(SOD),and malondialdehyde(MDA)(P＜0.05).Histological analyses through hematoxy-lin-eosin(H&E),Periodic Acid-Schiff(PAS),and Sirius red staining demonstrated alleviation of glo-merular mesangial hyperplasia,glomerular hypertrophy,and tubular inflammation.Furthermore,hUC-MSCs treatment downregulated the expression of oxidative stress-related proteins,such as NADPH oxi-dase 4(NOX4)and thioredoxin-interacting protein(TXNIP),and reduced reactive oxygen species(ROS)production(P＜0.05).Meanwhile,human renal cortical proximal tubule epithelial cells(HK-2 cells)were selected for validation in vitro experiments using high glucose treatment followed by super-natants of hUC-MSCs(MSC-CM),and Western blotting showed that the expression of both NOX4 and TXNIP was inhibited(P＜0.05)and ROS expression was reduced.In conclusion,hUC-MSC treatment effectively lowered blood glucose levels and improved renal function in DN mice,likely through the sup-pression of NOX4 expression and TXNIP-mediated oxidative stress.

BACKGROUND:The pathogenesis of inflammatory bowel disease involves inflammation,immune activation,visceral hypersensitivity,and dysbiosis of the gut microbiota.Inflammation promotes the release of inflammatory mediators by immune cells,damaging the enteric nervous system.Enteric glial cells are an important component of the intestinal nervous system and are excellent cells for studying intestinal neuroinflammation.Primary enteric glial cells play a crucial role in exploring cell therapies for intestinal nervous system diseases.Currently,the methods for obtaining these cells are mostly cumbersome.Therefore,finding a convenient and fast method for extracting this cell is crucial.OBJECTIVE:To establish a method for optimizing the isolation,culture,and identification of mouse enteric glial cells.METHODS:0-7-day-old C57BL/6 neonatal mice were euthanized by excessive inhalation of isoflurane.After soaking in 75％alcohol for disinfection,the duodenum(1 cm below the pylorus to 1 cm above the Qu's ligament)was removed by laparotomy at the midline of the abdomen.A 1 mL syringe was filled with DPBS and the intestinal contents were repeatedly rinsed until the intestine became translucent,and the mesentery and blood vessels were peeled off.The duodenum was cut to a size of 1 mm and digested in 0.25％EDTA trypsin for 20 minutes.Then an equal amount of DMEM/F12 complete culture medium was added to terminate digestion.The liquid was filtered through a 100 μm cell filter,centrifuged,and the cells were resuspended in 1 mL of DMEM/F12 complete culture medium.When the cell adhesion growth density reached 80％,cells were digested for subculture.When cells were cultured to the third generation,glial fibrillary acid protein labeled with enteric glial cells was used for identification by immunofluorescence method.RESULTS AND CONCLUSION:The isolated and cultured cells were full of colloids,with protrusions extending outward and passable.Glial fibrillary acid protein staining was positive.This method can successfully isolate and culture enteric glial cells and is easy to operate,providing a stable model for the study of the pathophysiology of the enteric nervous system.

Objective:To explore the current status, research hotspots, and development trends of shared decision-making in the field of cardiovascular disease nursing, and to provide a reference for future research.Methods:Relevant literature on shared decision-making in cardiovascular disease nursing published up to October 31, 2024, was retrieved from the Web of Science Core Collection and China National Knowledge Infrastructure. CiteSpace 6.4.R1 software was used for visualized analysis.Results:A total of 2 748 publications were identified, including 2 446 in English and 302 in Chinese. The overall number of publications has shown an increasing trend. Research hotspots include quality of life, palliative care, machine learning, and artificial intelligence. The emerging trend involves integrating evidence-based approaches with artificial intelligence technologies to build scientific evidence frameworks that support patients in making optimal decisions.Conclusions:Research on shared decision-making in cardiovascular disease nursing has been increasing year by year but remains largely concentrated in developed countries. Future studies should draw on international research frontiers while considering China's national and cultural contexts, enhance academic exchange and collaboration, and explore effective strategies to promote shared decision-making between Medical staff and patients.

BACKGROUND:The pathogenesis of inflammatory bowel disease involves inflammation,immune activation,visceral hypersensitivity,and dysbiosis of the gut microbiota.Inflammation promotes the release of inflammatory mediators by immune cells,damaging the enteric nervous system.Enteric glial cells are an important component of the intestinal nervous system and are excellent cells for studying intestinal neuroinflammation.Primary enteric glial cells play a crucial role in exploring cell therapies for intestinal nervous system diseases.Currently,the methods for obtaining these cells are mostly cumbersome.Therefore,finding a convenient and fast method for extracting this cell is crucial.OBJECTIVE:To establish a method for optimizing the isolation,culture,and identification of mouse enteric glial cells.METHODS:0-7-day-old C57BL/6 neonatal mice were euthanized by excessive inhalation of isoflurane.After soaking in 75％alcohol for disinfection,the duodenum(1 cm below the pylorus to 1 cm above the Qu's ligament)was removed by laparotomy at the midline of the abdomen.A 1 mL syringe was filled with DPBS and the intestinal contents were repeatedly rinsed until the intestine became translucent,and the mesentery and blood vessels were peeled off.The duodenum was cut to a size of 1 mm and digested in 0.25％EDTA trypsin for 20 minutes.Then an equal amount of DMEM/F12 complete culture medium was added to terminate digestion.The liquid was filtered through a 100 μm cell filter,centrifuged,and the cells were resuspended in 1 mL of DMEM/F12 complete culture medium.When the cell adhesion growth density reached 80％,cells were digested for subculture.When cells were cultured to the third generation,glial fibrillary acid protein labeled with enteric glial cells was used for identification by immunofluorescence method.RESULTS AND CONCLUSION:The isolated and cultured cells were full of colloids,with protrusions extending outward and passable.Glial fibrillary acid protein staining was positive.This method can successfully isolate and culture enteric glial cells and is easy to operate,providing a stable model for the study of the pathophysiology of the enteric nervous system.

Diabetic nephropathy(DN)is a serious complication of diabetes mellitus and a leading cause of end-stage renal diseases.In DN patients,key pathological mechanisms include proteinuria,glomerulo-sclerosis,and fibrosis,largely driven by poor glycemic control and oxidative stress caused by prolonged hyperglycemia.This stress damages renal podocytes and triggers inflammatory mesenchymal infiltration of renal tubular cells,exacerbating the progression of proteinuria and fibrosis.Human umbilical cord-de-rived mesenchymal stem cells(hUC-MSCs)offer promising potential for treating DN due to their strong anti-oxidative properties.In this study,we developed a DN mouse model and treated the mouse via tail vein injections of hUC-MSCs(1×106 cells/mouse).The results indicated that hUC-MSCs significantly lowered fasting blood glucose levels(22.5±3.0 vs 14.7±1.1,P＜0.01)and improved glucose toler-ance,as shown by intraperitoneal glucose tolerance test(IPGTT)results(P＜0.05).Additionally,the renal function improved in hUC-MSCs-treated mice,with marked reductions in oxidative stress markers,including blood urea nitrogen(BUN),urinary creatinine(Ucr),urinary protein(PRO),superoxide dismutase(SOD),and malondialdehyde(MDA)(P＜0.05).Histological analyses through hematoxy-lin-eosin(H&E),Periodic Acid-Schiff(PAS),and Sirius red staining demonstrated alleviation of glo-merular mesangial hyperplasia,glomerular hypertrophy,and tubular inflammation.Furthermore,hUC-MSCs treatment downregulated the expression of oxidative stress-related proteins,such as NADPH oxi-dase 4(NOX4)and thioredoxin-interacting protein(TXNIP),and reduced reactive oxygen species(ROS)production(P＜0.05).Meanwhile,human renal cortical proximal tubule epithelial cells(HK-2 cells)were selected for validation in vitro experiments using high glucose treatment followed by super-natants of hUC-MSCs(MSC-CM),and Western blotting showed that the expression of both NOX4 and TXNIP was inhibited(P＜0.05)and ROS expression was reduced.In conclusion,hUC-MSC treatment effectively lowered blood glucose levels and improved renal function in DN mice,likely through the sup-pression of NOX4 expression and TXNIP-mediated oxidative stress.

Objective:To explore the current status, research hotspots, and development trends of shared decision-making in the field of cardiovascular disease nursing, and to provide a reference for future research.Methods:Relevant literature on shared decision-making in cardiovascular disease nursing published up to October 31, 2024, was retrieved from the Web of Science Core Collection and China National Knowledge Infrastructure. CiteSpace 6.4.R1 software was used for visualized analysis.Results:A total of 2 748 publications were identified, including 2 446 in English and 302 in Chinese. The overall number of publications has shown an increasing trend. Research hotspots include quality of life, palliative care, machine learning, and artificial intelligence. The emerging trend involves integrating evidence-based approaches with artificial intelligence technologies to build scientific evidence frameworks that support patients in making optimal decisions.Conclusions:Research on shared decision-making in cardiovascular disease nursing has been increasing year by year but remains largely concentrated in developed countries. Future studies should draw on international research frontiers while considering China's national and cultural contexts, enhance academic exchange and collaboration, and explore effective strategies to promote shared decision-making between Medical staff and patients.

This study was aimed at comparing performance differences among three metagenomic sequencing platforms,MGISEQ-2000,Illumina NextSeq 2000,and Ion GeneStudio S5 Plus,to optimize the sequencing process for trace samples.The three sequencing platforms were used to perform high-throughput sequencing on DNA standards and simulated samples.Through analysis of the quality of raw data and microbial detection capabilities,systematic differences among platforms were compared.The sequencing results were optimized for trace samples by incorporation of exogenous nucleic acids during the li-brary preparation process.In terms of data output per batch and base quality,MGISEQ-2000 surpassed the other two plat-forms.Illumina NextSeq 2000 had the lowest proportion of duplicate reads,whereas Ion GeneStudio S5 Plus had the highest proportion,and significant differences were observed across platforms(P＜0.001).In sequencing uniformity,MGISEQ-2000 and Illumina NextSeq 2000 were superior to Ion GeneStudio S5 Plus.MGISEQ-2000 provided a substantial advantage in microbial detection capability(P＜0.001),but the advantage diminished with decreasing bacterial fluid concentration.Ion GeneStudio S5 Plus had the shortest duration for single-batch sequencing.Moreo-ver,for trace samples with DNA content ≤0.05 ng,the experi-mental group(with added exogenous nucleic acids)achieved a higher number of reads than the control group(without exogenous nucleic acids),with a 11.09±8.03 fold increase.In conclu-sion,the different sequencing platforms each had advantages and disadvantages,thus allowing researchers to choose the appro-priate platform according to specific needs.Furthermore,the addition of exogenous nucleic acids improved the microorganism detection efficiency,and provided better support for subsequent diagnosis and evaluation of results.

Objective To establish a liquid chromatography tandem mass spectrometry(LC-MS/MS)method for the determination of polymyxin B and tigecycline in rat plasma and to study the pharmacokinetic profile in rats.Methods Rat plasma was treated with 3％trichloroacetic acid-methanol solution(50∶50)for protein precipitation on a Symmetry C18(150.0 mm × 4.6 mm,3.5 μm)column,with mobile phase:0.1％formic acid in water-0.1％formic acid in acetonitrile at a flow rate of 0.6 mL·min-1,the column temperature was 40 ℃,and the ionization source was electrospray ionization,positive ion detection mode:multiple reaction detection.The method was investigated for its specificity,standard curve and lower limit of quantification,precision and recovery,stability and reproducibility.Results The linear range of tigecycline was 25-2 500 ng·mL-1,the lower limit of quantification was 25 ng·mL-1,and the extraction recovery was 95.89％-107.90％;the linear range of polymyxin B,was 82-8 200 ng·mL-1,the lower limit of quantification was 80 ng·mL-1,and the extraction recovery was 93.84％-97.70％;the linear range of polymyxin B2 was 9-900 ng·mL-1,the lower limit of quantification was 9 ng·mL-1,the extraction recovery was 96.41％-104.80％;the intra-day and inter-day relative standard deviations of each substance were 96.41％-104.80％.The linear range was 9-900 ng·mL-1,the lower limit of quantification was 9 ng·mL-1,and the extraction recoveries were 96.41％-104.80％.The intra-day and inter-day relative standard deviations of each substance were less than 10％,and the stability and reproducibility were good.Conclusion This method is simple,sensitive,and has a short analytical time,and is suitable for the determination of the blood concentration of polymyxin B and tigecycline in rat plasma as well as for pharmacokinetic studies.

This study investigates whether compounds in Salvia miltiorrhiza Bunge can bind to the Toll like receptor 4/myeloid differentiation protein 2 (TLR4/MD2) protein complex and exhibit anti-inflammatory activity. Virtual screening of reported chemical components of Salvia miltiorrhiza Bunge against TLR4/MD2 was conducted in this study. The selected compound, neoprzewaquinone A (Neo A), was tested for its impact on the binding of lipopolysaccharide (LPS) to receptors on the cell membrane, its affinity for the protein, its influence on the dimerization of TLR4 and MD2 in LPS-induced cells, and its effects on the phosphorylation of nuclear factor-κB (NF-κB) p65 protein and the secretion of inflammatory cytokines in cells. Results indicate that Neo A in Salvia miltiorrhiza Bunge exhibited the highest virtual binding affinity with TLR4/MD2, with a value of -12.8 kcal·mol^-1. Neo A significantly inhibited the binding of LPS to receptors on the cell membrane (P < 0.01). Moreover, Neo A demonstrated affinity for rhTLR4/MD2, rhTLR4, and rhMD2, with K_D values of 267, 534, and 228 nmol·L^-1, respectively. Amino acid residues like TYR131 and PHE121 in TLR4/MD2 might play a role in the alkyl and π-alkyl hydrophobic interactions with Neo A. Neo A also significantly inhibited the dimerization of TLR4 and MD2 in LPS-mediated cells (P < 0.01) and markedly suppressed the phosphorylation of NF-κBp65 protein (P < 0.05). Furthermore, Neo A significantly or markedly inhibited the secretion of nitric oxide (NO), tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and interleukin-1β (IL-1β) in LPS-induced cells (P < 0.05, P < 0.01). In conclusion, Neo A exerts its anti-inflammatory effects by binding TLR4/MD2 then disrupting the binding of LPS to TLR4/MD2. It may serve as a TLR4/MD2 inhibitor with the potential to treat inflammation-related diseases targeting TLR4/MD2.

Objective:To establish a machine learning model for the diagnosis of clinically significant prostate cancer based on transrectal contrast-enhanced ultrasound parameters and clinically relevant data.Methods:A retrospective analysis was performed on 151 patients in Chongqing University Cancer Hospital who underwent transrectal contrast-enhanced ultrasonography and transrectal ultrasound-guided needle biopsy from November 2018 to September 2021. The time intensity curve was drawn using VueBox software and 12 parameters such as rise time, peak time, average transit time, peak intensity, and rising slope were quantitatively analyzed. Age, total prostate-specific antigen, free prostate-specific antigen, free prostate-specific antigen ratio, volume, prostate-specific antigen density, and transrectal contrast-enhanced ultrasonography parameters, a total of 18 characteristic parameters, were analyzed and screened through relevant attribute values and information gain attribute values. The screening features were trained and tested by the machine learning single algorithm and integrated algorithm, and then the model was evaluated by the F1 value and the area under the ROC curve(AUC).Results:Using the related attribute value and the information gain attribute value, 12 variables and 5 variables were screened out respectively to establish a machine learning model. The model established by the ensemble algorithm was better than the single algorithm. For the two variable selection methods, the AUC (0.810 vs 0.789) and F1 values (0.748 vs 0.742) of the Bagging ensemble algorithm model, which basic algorithm was decision tree, were the highest, followed by Logistic regression and support vector machine(SVM) in order of AUC and F1 values.Conclusions:Based on transrectal contrast-enhanced ultrasound parameters and clinical data, the Bagging ensemble model based on decision tree has the best performance in diagnosing clinically significant prostate cancer.