BACKGROUND:In the initial stage of growth plate injury inflammation,platelet-derived growth factor BB promotes the repair of growth plate injury by promoting mesenchymal progenitor cell infiltration,chondrogenesis,osteogenic response,and regulating bone remodeling. OBJECTIVE:To elucidate the action mechanism of platelet-derived growth factor BB after growth plate injury. METHODS:PubMed,VIP,WanFang,and CNKI databases were used as the literature sources.The search terms were"growth plate injury,bone bridge,platelet-derived growth factor BB,repair"in English and Chinese.Finally,66 articles were screened for this review. RESULTS AND CONCLUSION:Growth plate injury experienced early inflammation,vascular reconstruction,fibroossification,structural remodeling and other pathological processes,accompanied by the crosstalk of chondrocytes,vascular endothelial cells,stem cells,osteoblasts,osteoclasts and other cells.Platelet-derived growth factor BB,as an important factor in the early inflammatory response of injury,regulates the injury repair process by mediating a variety of cellular inflammatory responses.Targeting the inflammatory stimulation mediated by platelet-derived growth factor BB may delay the bone bridge formation process by improving the functional activities of osteoclasts,osteoblasts,and chondrocytes,so as to achieve the injury repair of growth plate.Platelet-derived growth factor BB plays an important role in angiogenesis and bone repair tissue formation at the injured site of growth plate and intrachondral bone lengthening function of uninjured growth plate.Inhibition of the coupling effect between angiogenesis initiated by platelet-derived growth factor BB and intrachondral bone formation may achieve the repair of growth plate injury.

Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.

Inflammatory bowel disease (IBD) is an idiopathic intestinal inflammatory condition with chronic and relapsing manifestations and is characterized by a disturbance in the interplay between the intestinal microbiota, the gut, and the brain. The microbiota-gut-brain axis involves interactions among the nervous system, the neuroendocrine system, the gut microbiota, and the host immune system. Increasing published data indicate that psychological stress exacerbates the severity of IBD due to its negative effects on the microbiota-gut-brain axis, including alterations in the stress response of the hypothalamic-pituitary-adrenal (HPA) axis, the balance between the sympathetic nervous system and vagus nerves, the homeostasis of the intestinal flora and metabolites, and normal intestinal immunity and permeability. Although the current evidence is insufficient, psychotropic agents, psychotherapies, and interventions targeting the microbiota-gut-brain axis show the potential to improve symptoms and quality of life in IBD patients. Therefore, further studies that translate recent findings into therapeutic approaches that improve both physical and psychological well-being are needed.
Humans ; Inflammatory Bowel Diseases/metabolism* ; Stress, Psychological/microbiology* ; Gastrointestinal Microbiome/physiology* ; Brain/metabolism* ; Hypothalamo-Hypophyseal System ; Pituitary-Adrenal System ; Animals

BACKGROUND: Lung cancer is one of the most common malignant tumors worldwide and a major cause of cancer-related deaths. Early-stage lung cancer is often manifested as pulmonary nodules, and accurate assessment of the malignancy risk is crucial for prolonging survival and avoiding overtreatment. This study aims to construct a model based on image feature parameters automatically extracted by artificial intelligence (AI) to evaluate its effectiveness in predicting the malignancy of part-solid nodule (PSN). METHODS: This retrospective study analyzed 229 PSN from 222 patients who underwent pulmonary nodule resection at Lanzhou University Second Hospital between October 2020 and February 2025. According to pathological results, 45 cases of benign lesions and precursor glandular lesion were categorized into the non-malignant group, and 184 cases of pulmonary malignancies were categorized into the malignant group. All patients underwent preoperative chest computed tomography (CT), and AI software was used to extract imaging feature parameters. Univariate analysis was used to screen significant variables; variance inflation factor (VIF) was calculated to exclude highly collinear variables, and LASSO regression was further applied to identify key features. Multivariate Logistic regression was used to determine independent risk factors. Based on the selected variables, five models were constructed: Logistic regression, random forest, XGBoost, LightGBM, and support vector machine (SVM). Receiver operating characteristic (ROC) curves were used to assess the performance of the models. RESULTS: The independent risk factors for the malignancy of PSN include roughness (ngtdm), dependence variance (gldm), and short run low gray-level emphasis (glrlm). Logistic regression achieved area under the curves ( AUCs) of 0.86 and 0.89 in the training and testing sets, respectively, showing good performance. XGBoost had AUCs of 0.78 and 0.77, respectively, demonstrating relatively balanced performance, but with lower accuracy. SVM showed an AUC of 0.93 in the training set, which decreased to 0.80 in the testing set, indicating overfitting. LightGBM performed excellently in the training set with an AUC of 0.94, but its performance declined in the testing set, with an AUC of 0.88. In contrast, random forest demonstrated stable performance in both the training and testing sets, with AUCs of 0.89 and 0.91, respectively, exhibiting high stability and excellent generalizability. CONCLUSIONS The random forest model constructed based on independent risk factors demonstrated the best performance in predicting the malignancy of PSN and could provide effective auxiliary predictions for clinicians, supporting individualized treatment decisions.
.
Humans ; Male ; Female ; Lung Neoplasms/pathology* ; Middle Aged ; Retrospective Studies ; Artificial Intelligence ; Aged ; Tomography, X-Ray Computed ; Adult ; Solitary Pulmonary Nodule/diagnostic imaging* ; ROC Curve

Pneumothorax during pediatric laparoscopic surgery is a potentially fatal complication that may not be promptly recognized. It can occur due to congenital anatomical abnormalities, pre-existing pulmonary disease, or operative factors during laparoscopy. Clinical presentation may range from asymptomatic to acute respiratory distress, pleuritic chest pain, and even life-threatening circulatory collapse. Here, we report a case of sudden intraoperative pneumothorax accompanied by extensive subcutaneous emphysema of the neck and chest wall during laparoscopic high ligation of the hernial sac in a child. The child presented with a reducible left lower abdominal mass and mild pain 3 days prior but did not seek medical attention. Symptoms worsened 1 day prior to admission, with difficulty reducing the mass. On April 8, 2021, the patient was admitted to the Department of Anesthesiology, Zhuzhou Hospital Affiliated to Xiangya School of Medicine of Central South University, with a diagnosis of "left inguinal hernia." On the second day of hospitalization, laparoscopic high ligation of the left inguinal hernia sac was performed under general anesthesia. During the procedure, the patient developed a sudden increase in airway pressure, marked hemodynamic fluctuations, crepitus in the neck and right anterior chest regions, and significantly diminished breath sounds in the right lung. Emergent bedside chest X-ray confirmed a right-sided pneumothorax. Immediate intervention including thoracic needle decompression, closed thoracic drainage, the lung re-expansion was performed. The patient was discharged on the 7th postoperative day with full recovery. This case highlights the need for clinicians to remain vigilant for iatrogenic pneumothorax during pediatric laparoscopic surgery. Close intraoperative monitoring of vital signs is crucial for early detection, recognition, and timely management of pneumothorax to ensure patient safety during minimally invasive procedures.
Humans ; Laparoscopy/methods* ; Pneumothorax/etiology* ; Ligation/methods* ; Hernia, Inguinal/surgery* ; Male ; Intraoperative Complications/etiology* ; Child ; Herniorrhaphy/methods* ; Female ; Subcutaneous Emphysema/etiology*

OBJECTIVE To prepare a self-microemulsifying drug delivery system(SMEDDS) for the oral administration of nebivolol hydrochloride(NBH) and to conduct in vitro evaluation. METHODS The solubility of NBH was determined using various oil phases, surfactants, and co-surfactants. The composition of the blank self-microemulsifying formulation was determined using pseudo-ternary phase diagrams. A centralcomposite design-response surface method was employed to screen and optimize the formulation variables, and an excess amount of NBH raw material was incorporated to determine the drug loading capacity. RESULTS The optimized composition of the NBH-SMEDDS formulation consisted of medium-chain glycerides, capryl caproyl macrogol glycerides, and 2-(2-ethoxyethoxy) ethyl acetate at a ratio of 20∶48∶32, with a drug loading capacity of 20.05 mg. The particle size, self-emulsification time, and particle size distribution range of the formulation were in agreement with the predicted values. Dissolution testing demonstrated that the overall dissolution trend of NBH-SMEDDS in the medium was higher than that of NBH powder and NBH ordinary tablet. The stability of NBH-SMEDDS was found to be satisfactory under accelerated conditions for 1, 2, and 3 months. CONCLUSION The SMEDDS shows potential for enhancing the in vitro dissolution of NBH and demonstrates good stability.

OBJECTIVE To solve the problem of insolubility of itraconazole, improve its dissolution in vitro, and provide a reference for further industrial scale-up of the itraconazole multiparticle system. METHODS Itraconazole multiparticle system pellets were dissolved in an organic solvent and prepared in a fluidized bed by bottom spraying. Itraconazole and hydroxypropyl methylcellulose were sprayed onto the surface of the sucrose pellet core to form a uniform solid dispersion. The preparation parameters of the fluidized bed bottom spray coating were investigated by single factor method. The mass ratio of drug to carrier and core weight gain of the itraconazole multiparticle system were optimized by central composite design and response surface methodology with accumulative dissolution rate, application efficiency and adhesion rate as response values. Samples were prepared to verify the optimized prescription, the microscopic hierarchical structure of the itraconazole multiparticle system was observed by scanning electron microscope, and the solid dispersion in the itraconazole multiparticle system pellets was characterized by differential scanning calorimetry(DSC) and X-ray diffraction(XRD). The dissolution curves of itraconazole pellets and the physical mixture in 0.1 mol·L−1 HCl dissolution medium were compared to verify the solubilization effect. RESULTS Single factor method was used to determine the bottom spray coating parameters of the fluidized bed. The pumping speed was set as 3.0−5.0 mL·min−1, the atomization pressure was set as 1.5 bar, the inlet air volume was set as 110 m3·h−1, and the material temperature was set as 35 ℃. According to the central composite design and response surface methodology, the mass ratio of drug to carrier of the optimized prescription was 1∶1.5 and the core weight of the pill was 75%, and the response values reached the expected value. The result of scanning electron microscopy showed that the diameter of the itraconazole multiparticle system pellet was about 910 µm, the diameter of the sucrose pellet core was about 570 µm, the thickness of the drug loading layer was about 110 µm, and the thickness of encapsulation layer was about 11 µm. The results of DSC and XRD showed that itraconazole formed a uniform solid dispersion in the itraconazole multiparticle system pellets, which was amorphous. In the dissolution medium of 0.1 mol·L−1 HCl, the accumulative dissolution rate of the multiparticle system after 90 min was about 10 times that of the physical mixture, which showed that the solubilization effect was remarkable. CONCLUSION The dissolution of itraconazole in vitro can be significantly improved by processing itraconazole into pellets with multiparticle system and forming solid dispersion.

Objective To investigate the efficacy and significance of Rox index, lymphocyte count and blood glucose in predicting retracheal intubation after high-flow nasal cannula(HFNC) oxygen therapy for severe pneumonia. Methods A total of 180 patients with severe pneumonia were selected as the study subjects, and all patients were treated with invasive and high-flow oxygen therapy sequentially. According to whether mechanical ventilation with re-intubation occurred after HFNC oxygen therapy, the patients were divided into re-intubation group (n=31) and non-re-intubation group (n=149). The ROX index, lymphocyte index [lymphocyte (LYM) count, helper/inducer T lymphocyte (CD4⁺T) count and suppressor/cytotoxic T lymphocyte (CD8⁺T) count] and blood glucose levels between the two groups before and at 6 hours and 12 hours after high-flow nasal cannula (HFNC) oxygen therapy were compared. The random forest algorithm was used to sort and screen the characteristic variables affecting retracheal intubation. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of ROX index, lymphocyte index and blood glucose for retracheal intubation. Results The ROX index of the reintubation group was significantly lower at 6 and 12 h after HFNC oxygen therapy, and the blood glucose was significantly higher than that of the non-reintubation group (P < 0.05). Random forest algorithm showed that the top 3 variables in importance ranking were ROX index, CD4⁺T count and blood glucose. ROX index, CD4⁺T count combined with blood glucose at 6 and 12 h after HFNC oxygen therapy predicted the area under the curve (AUC) of retracheal intubation was greater than that of the single index, and the AUC of the three combined to predict retracheal intubation at 12 h after HFNC oxygen therapy was greater than that at 6 h after HFNC oxygen therapy (P < 0.05). Conclusion The combined evaluation of ROX index, CD4⁺T count and blood glucose has certain predictive efficacy for retracheal intubation mechanical ventilation after HFNC oxygen therapy in patients with severe pneumonia.

Pre-rheumatoid arthritis （Pre-RA） is the asymptomatic state of rheumatoid arthritis （RA）， and its progression showed complexity， dynamics and significant individual differences. The dynamic prediction model is valuable in identifying individual risks and taking timely preventive and control measures. It is believed that applying the dynamic prediction model to traditional Chinese medicine （TCM） clinical studies of Pre-RA is expected to predict the critical state of Pre-RA to RA， reveal the evolution of Pre-RA， reflect the external authenticity of the TCM clinical studies， and complement the clinical efficacy evaluation method. Accordingly， it is envisioned to construct a dynamic prediction model for Pre-RA progression based on TCM clinical trial data through the dynamic prediction model algorithm， and to apply long-term follow-up cohort data for external validation， thereby providing a basis for scientific warning and clinical decision-making on the evolution of Pre-RA.

Alginate composite hydrogel is one of the research hotspots of tumor drug delivery system materials at present. Alginate hydrogel has good biocompatibility and regeneration properties. However, the natural alginate saline gel may not achieve the expected results in the body environment due to the slow degradation and instability of the gel. Alginate has found extensive application in cancer therapy through its combination with other materials and the utilization of ionic cross-linking, covalent cross-linking, and free radical polymerization to form hydrogels. Based on the composite system of alginate brine gel, this paper summarizes the structure and properties of alginate hydrogel, with a focus on recent research into alginate composite hydrogel in common cancer treatments application, summarizes the current research focus and discuss the existing problems of alginate composite hydrogel, so as to provide reference for further expanding the research of alginate composite hydrogel in clinical cancer treatment.