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.

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 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 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.

In this work,a new pyrylium derivatization-assisted liquid chromatography-mass spectrometry(LC-MS)method was developed for metabolite profiling of the glutathione anabolic pathway(GAP)in cancer tissues and cells.The pyrylium salt of 6,7-dimethoxy-3-methyl isochromenylium tetrafluoroborate(DMMIC)was used to label the amino group of metabolites,and a reductant of dithiothreitol(DTT)was employed to stabilize the thiol group.By combining DMMIC derivatization with LC-MS,it was feasible to quantify the 13 main metabolites on the GAP in complex biological samples,which had good linearity(R2=0.9981-0.9999),precision(interday precision of 1.6％-19.0％and intraday precision of 1.4％-19.8％)and accuracy(83.4％-115.7％).Moreover,the recovery assessments in tissues(82.5％-107.3％)and in cells(98.1％-118.9％)with GSH-13C2,15N,and Cys-15N demonstrated the reliability of the method in detecting tissues and cells.Following a methodological evaluation,the method was applied successfully to investigate difference in the GAP between the carcinoma and para-carcinoma tissues of esophageal squamous cell carcinoma(ESCC)and the effect of p-hydroxycinnamaldehyde(CMSP)on the GAP in KYSE-150 esophageal cancer cells.The results demonstrate that the developed method provides a promising new tool to elucidate the roles of GAP in physiological and pathological processes,which can contribute to research on drugs and diseases.

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.

Sialic acid binding immunoglobulin type lectin-15 (Siglec-15), one of the Siglec gene family members, is a new immunosuppressive molecule. Siglec-15 is highly expressed in a variety of human tumor cells and tumor-associated macrophages, but the biological function of Siglec-15 in colorectal cancer (CRC) and its effect on the tumor immune microenvironment remains poorly understood. This study aimed to investigate the effects of aberrant expression of Siglec-15 on the biological behaviors of CRC cells and the infiltration of CD4

CXC chemokine ligand 8 (CXCL8) is highly expressed in many human tumors including colorectal cancer, and it can promote the malignant progression of tumors. It was reported that M2 macrophages were abundant in colorectal cancer microenvironment, but whether CXCL8 affects the infiltration of M2 macrophages and its potential mechanism are not yet clear. The study aimed to investigate the effect of CXCL8 on M2 macrophage infiltration and chemotaxis in the colorectal cancer. Firstly, we analyzed the CXCL8 expression and immune cell infiltration in human colorectal cancer tissues from TCGA RNA-seq data. The expression of CXCL8 was verified by immunohistochemistry in tissues obtained from Shanxi Provincial Cancer Hospital. Then, Western blot and qRT-PCR were employed to detect CXCL8 expression in five colorectal cancer cell lines. THP-1 cells were allowed to differentiate into M2 macrophages via the phorbol myristate acetate (PMA) and IL-4 treatment, followed by detection of the chemotaxis of M2 macrophages towards HCT116, SW480 and CXCL8-HCT116, CXCL8-SW480 cell lines. HCT116 and SW480 cells were treated with interleukin 1β (IL-1β) to detect the expression of CXCL8, and co-cultured with M2 macrophages to analyze the chemotactic activity. The results revealed that the expression of CXCL8 was increased in pairs of CRC tissues versus normal adjacent tissues, and there were more M2 macrophage infiltration in cancer tissues with high expression of CXCL8. The mRNA and protein expression of CXCL8 in HCT116 and SW480 were increased after the IL-1β treatment (P < 0. 05). We confirmed that CXCL8 is a chemotactic factor for M2 macrophages by transwell assays (P<0. 05). In conclusion, CXCL8 in colorectal cancer cells can be induced by IL-1β in colorectal cancer cells and the upregulation of CXCL8 can promote the chemotaxis of M2 macrophages. The massive infiltration of M2 macrophages in colorectal cancer microenvironment may be related with the increased expression of CXCL8.