Objective: To fabricate a hydrogel loaded with inositol hexaphosphate-zinc and preliminarily evaluate its performance in self-mineralization and osteoinduction, thereby providing a theoretical basis for the development of bone regeneration materials. Methods: The hydrogel framework (designated DF0) was formed by copolymerizing methacryloyloxyethyltrimethylammonium chloride and four-armed poly(ethylene glycol) acrylate, followed by sequentially loading inositol hexaphosphate anions via electrostatic interaction and zinc ions via chelation. The hydrogel loaded only with inositol hexaphosphate anions was named DF1, while the co-loaded hydrogel was named DF2. The self-mineralization efficacy of the DF0 , DF1 and DF2 hydrogels was characterized using scanning electron microscopy, transmission electron microscopy (TEM), energy dispersive spectroscopy (EDS), and selected area electron diffraction (SAED). The biocompatibility was assessed via live/dead cell staining and a CCK-8 assay. The osteoinductive capacity of the DF0 , DF1 and DF2 hydrogels on MC3T3-E1 cells was assessed via alkaline phosphatase (ALP) and Alizarin Red S (ARS) staining. In the aforementioned cell experiments, cells cultured in standard medium served as the control group Results: The DF0, DF1, and DF2 hydrogels were successfully synthesized. Notably, DF1 and DF2 exhibited distinct self-mineralization within 6 days. Results from TEM, EDS, and SAED confirmed that the mineralization products were amorphous calcium phosphate in group DF1, and amorphous calciumzinc phosphate in group DF2. Biocompatibility tests revealed that none of the hydrogels (DF0, DF1, and DF2) adversely affected cell viability or proliferation. In osteogenic induction experiments, both ALP and ARS staining were intensified in the DF1 and DF2 groups, with the most profound staining observed in the DF2 group. Conclusion The developed inositol hexaphosphate-zinc hydrogel (DF2) demonstrates the dual capacity to generate calcium-phosphate compounds through self-mineralization while exhibiting excellent osteoinductive properties. This biocompatible, dual-promoting osteogenic hydrogel presents a novel strategy for bone regeneration.

Objective To analyze the influence of Helicobacter pylori (Hp) infection on the risk of colorectal adenomatous polyps in patients with type 2 diabetes mellitus (T2DM). Methods A total of 306 patients with T2DM who were treated in the hospital from April 2021 to April 2024 were enrolled as the study subjects. According to whether colorectal adenomatous polyps occurred, the enrolled patients were divided into adenomatous polyp group and non-adenomatous polyp group. The risk factors of colorectal adenomatous polyps in T2DM patients were discussed by univariate and Logistic multivariate regression analyses. The predictive value of Hp on the occurrence of colorectal adenomatous polyps was explored by receiver operating characteristic (ROC) curve. Results Among 306 T2DM patients, there were 142 cases of colorectal adenomatous polyps, with an incidence rate of 46.41%. After logistic analysis, it was found that Hp infection, concurrent gallbladder disease, fatty liver, alcohol drinking history and insulin use were independent influencing factors for colorectal adenomatous polyps (OR: 5.518, 95%CI: 2.806-10.850; OR: 2.782, 95%CI: 1.406-5.502; OR: 3.702, 95%CI: 1.684-8.141; OR: 2.125, 95%CI: 1.140-3.964; OR: 5.398, 95%CI: 2.528-11.525, P<0.05). ROR curve analysis indicated that the area under the curve (AUC), sensitivity and specificity of Hp infection in predicting colorectal adenomatous polyps were 0.611, 38.73% and 83.54%. Conclusion The occurrence of colorectal adenomatous polyps in patients with T2DM is affected by many factors among which Hp infection has obvious predictive value on its risk.

ObjectiveThis study aims to compare the modeling effects of submaxillary gland antigen and salivary gland antigen in the establishment of Sjögren syndrome (SS) mouse models, and to characterize the phenotypic and immunological features of these models in comparison with spontaneous SS-prone non-obese diabetic (NOD)/LtJ mice. MethodsAdult C57BL/6J mice (equal numbers of males and females) were immunized with submaxillary gland antigen or salivary gland antigen, respectively, combined with Freund's adjuvant to induce SS models. Mice immunized with phosphate-buffered saline (PBS) combined with Freund's adjuvant served as the control group. Immunization was induced via multiple subcutaneous injections in the back with antigen combined with Freund's complete adjuvant (FCA) on Days 1 and 7. A booster immunization was administered via multiple subcutaneous injections in the back with antigen combined with Freund's incomplete adjuvant (FIA) on Day 14. Female NOD/LtJ mice were used as the spontaneous SS model group, with ICR mice as the corresponding control strain for comparative analysis. Body weight, water intake, and salivary flow rate of mice were dynamically monitored for 4 weeks. At the end of the experiment, tissue and serum samples were collected, the weights of submaxillary glands, thymus, and spleen were measured, and organ indices (organ-to-body weight ratios) were calculated. Pathological morphological analysis of the submaxillary gland and spleen was performed with hematoxylin and eosin (HE) staining. Serum interleukin-17 (IL-17) level was detected using enzyme-linked immunosorbent assay (ELISA). Real-time quantitative polymerase chain reaction was used to detect the mRNA expression levels of SS type A (SSA) and SS type B (SSB) in submaxillary gland tissues. ResultsFemale mice in the submaxillary gland antigen group exhibited significantly increased water intake (P<0.05) and reduced salivary flow rate (P<0.05) compared with the female control group. No statistically significant differences were observed in the submaxillary gland index, thymus index and spleen index (P>0.05). Focal lymphocytic infiltration was observed in the submaxillary glands, and the splenic marginal zone was enlarged. Serum IL-17 levels were significantly increased (P<0.05). There was no significant difference in submaxillary gland SSA/SSB expression levels (P>0.05). Compared with the female control group, female mice in the salivary gland antigen group showed no statistically significant differences in water intake, salivary flow rate, submaxillary gland index, and spleen index (P>0.05), whereas the thymus index was significantly reduced (P<0.01). Mild inflammatory cell infiltration and glandular atrophy were observed in the submaxillary glands, and the splenic white pulp and marginal zone were slightly enlarged. Serum IL-17 levels and submaxillary gland SSB mRNA expression levels were significantly increased (P<0.01), whereas no significant change was observed in submaxillary gland SSA expression levels (P>0.05). Compared with the male control group, mild submaxillary gland atrophy was observed in male mice in the submaxillary gland antigen group, whereas no obvious changes were found in other modeling-related indicators (P>0.05). Compared with the ICR control group, NOD/LtJ model mice exhibited elevated water intake (P<0.05), significantly reduced salivary flow rate (P<0.01), no significant differences in the submaxillary gland index or spleen index (P>0.05), but a significantly increased thymus index (P<0.05). Marked focal infiltration was observed in the submaxillary glands, the splenic marginal zone was obviously enlarged, and serum IL-17 concentrations as well as submaxillary gland SSA/SSB expression levels were significantly increased (P<0.05). ConclusionSubmaxillary gland antigen and salivary gland antigen can induce SS-related features in female C57BL/6J mice. The SS-related phenotype is more pronounced in the submaxillary gland antigen group than in the salivary gland antigen group, but weaker than that in spontaneously SS-prone female NOD/LtJ mice. Immunization of male C57BL/6J mice with submaxillary or salivary gland antigens fails to induce an obvious SS phenotype.

ObjectiveTo analyze the research hotspots and development trends in the field of spinal cord stimulation (SCS) for spinal cord injury (SCI). MethodsLiterature about SCS for SCI was retrieve from the Web of Science (WOS) Core Collection database, with a time range from January, 1999 to July, 2025. VOSviewer 1.6.20 and CiteSpace 6.4.R2 were used to analyze the annual publication volume, countries, authors, institutions, journals and keywords. ResultsA total of 636 literatures were included. From 1999 to 2025, the overall publication trend in this field showed an upward trajectory, with recent years fluctuating but tending to stabilize. The country with the most publications was the United States (429 papers), followed by Russia (98 papers) and China (70 papers). The institution with the highest number of publications was the University of California, Los Angeles (76 papers), the author with the most publications was V. Reggie Edgerton (70 papers), and the journal with the most publications was Journal of Clinical Medicine (31 papers). The most frequently cited study focused on exploring the combination of epidural spinal cord stimulation with task-specific training to restore motor function in patients with complete SCI. Keyword analysis showed that the research hotspots in this field were mainly focused on neuroregulation mechanisms, recovery of motor and autonomic nervous dysfunction, artificial intelligence, closed-loop stimulation and brain-computer interface technology innovations. In recent years, the research focus gradually shifted from basic mechanisms to personalized and precise multifunctional rehabilitation strategies. ConclusionThe field of SCS for SCI has undergone phases of basic mechanism exploration and clinical application expansion. Current research hotspots and future trends focus primarily on the development of new stimulation paradigms and combined innovative technologies.

ObjectiveTo analyze the clinicopathological features of patients with comorbidities of chronic hepatitis B （CHB） and steatotic liver disease （SLD）， to investigate the impact of hyperglycemia on the risk of liver fibrosis and end-stage liver diseases （ESLD）， and to provide a basis for the clinical management of such population. MethodsA total of 668 adult patients with CHB-SLD confirmed by liver biopsy in The Fifth Medical Center of Chinese PLA General Hospital from January 2011 to December 2019 were enrolled， and a retrospective cohort was established with the time of liver biopsy as the baseline and the onset of ESLD as the endpoint. All patients were followed up to March 31， 2024. Propensity score matching （PSM） was performed at a ratio of 1∶4 to balance baseline features between groups， resulting in 82 patients in the hyperglycemia group and 281 in the non-hyperglycemia group. The two groups were compared in terms of metabolic profiles， laboratory markers， and histopathological features. The Mann-Whitney U test was used for comparison of non-normally distributed quantitative data between two groups. The chi-square test or Fisher exact test was used for comparison of categorical data between two groups. A multivariate Logistic regression analysis was used to investigate the influencing factors for advanced fibrosis （AF）， and the Kaplan-Meier survival analysis and the Cox proportional-hazards regression model were used to determine the influencing factors for the development of ESLD. ResultsCompared with the non-hyperglycemia group， the hyperglycemia group had a significantly higher number of factors for metabolic disorders， a significantly higher degree of hepatic steatosis， and a significantly higher detection rate of AF （all P<0.05）. The multivariate Logistic regression analysis showed that hyperglycemia was a risk factor for AF （odds ratio = 1.753， 95% confidence interval ［CI］： 1.017　—　3.023， P=0.043）. The survival analysis showed that hyperglycemia increased the risk of ESLD （χ²=4.340， P=0.037）. The multivariate Cox regression analysis confirmed that hyperglycemia was a significant metabolic risk factor for ESLD in patients with AF （adjusted hazard ratio=3.208， 95%CI： 1.201　—　8.568， P=0.020）. ConclusionHyperglycemia can increase the risk of AF and ESLD in CHB-SLD patients. Clinical monitoring and active management should be strengthened for patients who have already developed AF and hyperglycemia.

OBJECTIVE To analyze the influential factors of drug-induced cholestatic liver disease （DIC） related to tigecycline （TGC）， and establish a prediction model for the risk of this adverse reaction. METHODS Data of 707 hospitalized patients who received TGC treatment in our hospital from August 2022 to August 2024 were collected and randomly divided into training set （n＝566） and test set （n＝141） at a ratio of 8∶2. Prediction variables were screened using the least absolute shrinkage and selection operator regression analysis. Multivariate Logistic regression analysis was used to screen the independent risk factors for TGC-related DIC， and a nomogram prediction model was drawn based on the above factors. The prediction performance of the model was evaluated by the receiver operator characteristic curve （ROC curve） and its area under the curve （AUC）. The accuracy of the model was assessed by the Hosmer-Lemeshow goodness-of-fit test and calibration curves. The clinical net benefit of the prediction model were evaluated by decision curve analysis. RESULTS Among the 707 patients， 93 patients developed DIC， with an incidence rate of 13.15%. Gender， age， high-dose administration of TGC， intensive care unit （ICU） admission， duration of medication of TGC， and concurrent use of antifungal drug voriconazole were independent risk factors for the occurrence of TGC-related DIC （P＜0.05）. The AUC of the training set model was 0.745 （95%CI： 0.687-0.801）， with a sensitivity of 76.6% and a specificity of 60.3%. The AUC of ROC curve of the test set model was 0.762 （95%CI： 0.650-0.900）， with a sensitivity of 81.3% and a specificity of 72.0%. The Hosmer-Lemeshow goodness-of-fit test for the training set， the χ 2 value was 5.187 and P was 0.737； and for the test set， the χ 2 value was 9.980 and P was 0.266. The mean absolute error of the calibration curve for the training set was 0.012， and for the test set， it was 0.038. The risk threshold range for the training set was 4%-45%， and for the test set， it was 4%-28%. CONCLUSIONS Age， gender， high-dose administration of TGC， ICU admission， duration of medication of TGC， and concurrent use of antifungal drug voriconazole are independent risk factors for TGC-related DIC. The established TGC-related DIC risk prediction model has good prediction performance and accuracy.

Objective To explore the application value of anhydrous ethanol as an alternative to methanol in the preparation of chromosomal specimens from peripheral blood lymphocytes, and to establish a set of quantitative analytical methods for objectively evaluating the effectiveness of specimen preparation. Methods Residual blood samples from routine laboratory slide preparation were used for lymphocyte culture. The standard slide preparation method was employed. The fixative in the control group was methanol and glacial acetic acid (3∶1). Four experimental groups were set up based on the ratio of anhydrous ethanol to glacial acetic acid in the fixative (volume ratios of 3∶1, 5∶1, 7∶1, and 9∶1 for experimental groups 1, 2, 3, and 4, respectively). A chromosomal analysis was conducted using an automated chromosome scanning/image analysis system to evaluate the morphology and dispersion of metaphase chromosomes in both control and experimental groups. Comparisons were made between the control and experimental groups regarding the dic + r aberration rate, ace aberration rate, chromosomal aberration rate, chromosome dispersion index, chromosome overlapping ratio, and dispersion index/overlapping ratio. Results Microscopic evaluation revealed that the preparation quality of experimental groups 1 and 2 was comparable to the control group. No statistically significant differences were observed in dic + r aberration rate between each of the experimental groups and the control (P > 0.05). All experimental groups except group 4 showed no significant differences in ace aberration rate and chromosome aberration rate compared with the control group (P > 0.05). Experimental groups 1 and 2 showed no significant differences in chromosome dispersion index, overlapping ratio, and dispersion index/overlapping ratio compared with the control group (P > 0.05). Conclusion A mixture of anhydrous ethanol and glacial acetic acid at a 5∶1 ratio is recommended for use as a fixative in the preparation of chromosomal specimens from peripheral blood lymphocytes. A quantitative index system for assessing the quality of chromosomal specimens was established, enabling objective evaluation of slide preparation effectiveness.

BACKGROUND: G protein-coupled receptor kinase 2 (GRK2) could participate in the regulation of diverse cells via interacting with non-G-protein-coupled receptors. In the present work, we explored how paroxetine, a GRK2 inhibitor, modulates the differentiation and activation of immune cells in rheumatoid arthritis (RA). METHODS: The blood samples of healthy individuals and RA patients were collected between July 2021 and March 2022 from the First Affiliated Hospital of Anhui Medical University. C57BL/6 mice were used to induce the collagen-induced arthritis (CIA) model. Flow cytometry analysis was used to characterize the differentiation and function of dendritic cells (DCs)/T cells. Co-immunoprecipitation was used to explore the specific molecular mechanism. RESULTS: In patients with RA, high expression of GRK2 in peripheral blood lymphocytes, accompanied by the increases of phosphatidylinositol 3 kinase (PI3K), protein kinase B (AKT), and mammalian target of rapamycin (mTOR). In animal model, a decrease in regulatory T cells (T regs ), an increase in the cluster of differentiation 8 positive (CD8 + ) T cells, and maturation of DCs were observed. Paroxetine, when used in vitro and in CIA mice, restrained the maturation of DCs and the differentiation of CD8 + T cells, and induced the proportion of T regs . Paroxetine inhibited the secretion of pro-inflammatory cytokines, the expression of C-C motif chemokine receptor 7 in DCs and T cells. Simultaneously, paroxetine upregulated the expression of programmed death ligand 1, and anti-inflammatory cytokines. Additionally, paroxetine inhibited the PI3K-AKT-mTOR metabolic pathway in both DCs and T cells. This was associated with a reduction in mitochondrial membrane potential and changes in the utilization of glucose and lipids, particularly in DCs. Paroxetine reversed PI3K-AKT pathway activation induced by 740 Y-P (a PI3K agonist) through inhibiting the interaction between GRK2 and PI3K in DCs and T cells. CONCLUSION Paroxetine exerts an immunosuppressive effect by targeting GRK2, which subsequently inhibits the metabolism-related PI3K-AKT-mTOR pathway of DCs and T cells in RA.
G-Protein-Coupled Receptor Kinase 2/metabolism* ; Arthritis, Rheumatoid/immunology* ; Animals ; Dendritic Cells/metabolism* ; Paroxetine/therapeutic use* ; Proto-Oncogene Proteins c-akt/metabolism* ; Mice ; Humans ; Mice, Inbred C57BL ; Signal Transduction/drug effects* ; Male ; Phosphatidylinositol 3-Kinases/metabolism* ; Lymphocyte Activation/drug effects* ; Female ; T-Lymphocytes/metabolism* ; Middle Aged

Large language models (LLMs) such as ChatGPT, Claude, Llama, and Qwen are emerging as transformative technologies for the diagnosis and treatment of various diseases. With their exceptional long-context reasoning capabilities, LLMs are proficient in clinically relevant tasks, particularly in medical text analysis and interactive dialogue. They can enhance diagnostic accuracy by processing vast amounts of patient data and medical literature and have demonstrated their utility in diagnosing common diseases and facilitating the identification of rare diseases by recognizing subtle patterns in symptoms and test results. Building on their image-recognition abilities, multimodal LLMs (MLLMs) show promising potential for diagnosis based on radiography, chest computed tomography (CT), electrocardiography (ECG), and common pathological images. These models can also assist in treatment planning by suggesting evidence-based interventions and improving clinical decision support systems through integrated analysis of patient records. Despite these promising developments, significant challenges persist regarding the use of LLMs in medicine, including concerns regarding algorithmic bias, the potential for hallucinations, and the need for rigorous clinical validation. Ethical considerations also underscore the importance of maintaining the function of supervision in clinical practice. This paper highlights the rapid advancements in research on the diagnostic and therapeutic applications of LLMs across different medical disciplines and emphasizes the importance of policymaking, ethical supervision, and multidisciplinary collaboration in promoting more effective and safer clinical applications of LLMs. Future directions include the integration of proprietary clinical knowledge, the investigation of open-source and customized models, and the evaluation of real-time effects in clinical diagnosis and treatment practices.
Humans ; Large Language Models ; Tomography, X-Ray Computed