ObjectiveTo investigate the inhibitory effect of gingerol， an active component of ginger， on Staphylococcus aureus （S. aureus） infection， and to preliminarily explore its mechanism related to extracellular vesicles （EVs）. MethodsS.aureus infection models were established in human umbilical vein endothelial cell （HUVECs）， Vero E6 cells， and C57BL/6 mice. Experimental groups included control， infection， and gingerol-treated groups. Bacterial load and VE-cadherin protein expression were detected using immunofluorescence and Western blot. EVs were isolated by size exclusion chromatography and characterized by transmission electron microscopy and nanoparticle tracking analysis. miRNA sequencing was performed on EVs. ResultsGingerol treatment significantly reduced the bacterial load in both in vitro and in vivo infection models and upregulated VE-cadherin expression. miRNA sequencing of EVs revealed that S. aureus infection upregulated the expression of hsa-miR-320c， while gingerol treatment reversed this abnormal expression. Bioinformatic analysis further predicted that the target genes of hsa-miR-320c were significantly enriched in cell junction-related pathways. ConclusionGingerol exhibits clear antibacterial and host-protective effects， by regulating hsa-miR-320c in EVs to maintain endothelial barrier integrity.

Wound cleansing is an essential step in skin wound management. It can prevent local infection and optimize healing micro-environment by removing necrotic tissue and foreign matter, reducing microbial load, breaking bacterial biofilm formation and so on. Many randomized controlled trials and meta-analysis abroad have concluded that there is no significant difference in the incidence of wound infection and healing rate between the wounds irrigated with tap water and with sterile normal saline for skin wound cleansing. Considering the current requirements of medical fee policies in China, we recommend the use of tap water instead of saline or other wound cleansing solutions for cleansing skin wounds.

Sepsis-associated acute kidney injury （SA-AKI） is an acute kidney injury caused by sepsis， characterized by acute onset， severe progression and high mortality. The abnormal activation of the nuclear factor-κB （NF-κB） signaling pathway can lead to pathological processes such as renal inflammatory cascade reactions， oxidative stress， apoptosis and pyroptosis， and microcirculatory dysfunction， thereby promoting the development of SA-AKI. In recent years， the basic research on the prevention and treatment of SA-AKI with traditional Chinese medicine （TCM） has made significant progress， among which NF-κB plays an important role as a key factor. This article summarizes the research findings over the past few years on active ingredients and compound formula of TCM interventions for SA-AKI via the NF-κB signaling pathway. It elaborates on various active ingredients of TCM， such as flavonoids， phenols， glycosides， terpenoids， quinones and alkaloids， as well as TCM compound formulations including Qihuang jiedu huayu decoction， Huangqi jiuni decoction， and Xuebijing injection， etc. These interventions significantly inhibit renal inflammatory responses， oxidative stress， apoptosis， pyroptosis and microcirculatory dysfunction by regulating multiple NF-κB-mediated signaling pathways， such as Toll-like receptor 4/myeloid differentiation primary response protein 88/NF- κB， sirtuin 1/NF- κB， NF- κB/NOD-like receptor family pyrin domain-containing protein 3， thereby alleviating SA-AKI and improving renal function.

Wound cleansing is an essential step in skin wound management. It can prevent local infection and optimize healing micro-environment by removing necrotic tissue and foreign matter, reducing microbial load, breaking bacterial biofilm formation and so on. Many randomized controlled trials and meta-analysis abroad have concluded that there is no significant difference in the incidence of wound infection and healing rate between the wounds irrigated with tap water and with sterile normal saline for skin wound cleansing. Considering the current requirements of medical fee policies in China, we recommend the use of tap water instead of saline or other wound cleansing solutions for cleansing skin wounds.

Objective To explore the roles of iron overload in pro-atherogenic activation of foam cells.Methods RAW264.7 and MOVAS cells were stimulated by oxLDL,ferrimine citrate and deferoxamine respectively.Prussian Blue and Oil Red O staining were used to detect iron deposition and foam cell.CCK-8 test,DHE probe,ELISA,RT-qPCR were performed to detect the cell death rate,reactive oxygen species(ROS)generation,lipid peroxidation molecules[glutathione peroxidase(GSH),glutathione peroxidase 4(GPX4),malondialdehyde(MDA)content]and the mRNA level of ATP binding cassette transporter A1(ABCA1),ATP binding cassette transporter G1(ABCG1),inductible nitris oxide synthase(iNOS),arginase-1(Arg-1),α-smooth muscle actin(α-SMA),smooth muscle 22 alpha(SM22a),osteopontin(OPN),Interleukin-1β(IL-1β),tumor necrosis factor-α(TNF-α).Results Iron overload could reduced reverse cholesterol transporters(ABCA1 and ABCG1),promote foam cells generation,increased cell death rate,induced the expression of lipid peroxidation molecules(GSH,GPX4,MDA),and promoted pro-inflammatory M1 marker of macrophage and synthetic marker expression of vascular smooth muscle cell(VSMC)and inflammatory cytokines(IL-1β,TNF-α).Conclusion Iron overload promotes the generation of foam cells derived from macrophages and smooth muscle cells and transform them into pro-atherosclerotic phenotype,aggravates cell lipid peroxidation and inflammatory reaction,which contributes to the progress of atherosclerosis.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Objective:To compare the clinical efficacy of femoral distraction and homeopathic double reverse traction reduction assisted internal fixation in the treatment of Schatzker type IV-VI tibial plateau fractures.Methods:A total of 51 patients (28 males and 23 females) with Schatzker IV-VI tibial plateau fractures treated with femoral distraction or homeopathic double reverse traction reduction from January 2017 to June 2021 in the Second Affiliated Hospital of Wenzhou Medical University were retrospectively analyzed. The average age was 49.6±11.9 years (range, 28-71 years). The time from injury to operation was 4.5±3.0 days (range, 1-15 days). There were 5 cases with combined anterior cruciate ligament injuries and 9 cases with posterior cruciate ligament injuries. Twenty-five cases were treated with femoral distraction reduction (distraction reduction group) and 26 cases with homeopathic double reverse traction reduction (traction reduction group). The operation time, intraoperative blood loss, visual analogue scale (VAS) on the first day after operation, hospitalization time, fracture healing time, and incidence of complications were compared between the two groups. Hospital for Special Surgery (HSS) knee function score at 1, 3, 6, 12 months after operation were also compared.Results:All patients were operated successfully. The operation time was 125.9±35.1 min (range, 60-220 min), and the intraoperative blood loss was 138.4±85.4 ml (range, 30-400 ml). 15 patients received autologous iliac bone grafting and 36 patients received allogeneic bone grafting. The VAS score on the first day after operation was 2.4±0.7 (range, 1-4), the hospital stay was 12.6±3.6 days (range, 7-24 days), and the fracture healing time was 14.6±2.2 weeks (range, 12-21 weeks). All patients were followed up for 16.8±2.8 months (range, 13-25 months). The operation time, intraoperative blood loss and hospital stay in the traction reduction group were 106.2±21.7 min, 86.9±42.6 ml and 11.6±3.3 days, respectively, which were less than 146.4±34.9 min, 192.0±86.2 ml and 13.7±3.6 days in the distraction reduction group. The differences were statistically significant ( P<0.05). The HSS scores of traction reduction group at 1 month and 3 months after operation were 83.8±1.7 and 86.7±2.0, which were higher than those of distraction reduction group (81.0±2.6 and 84.9±2.6), and the differences were statistically significant ( P<0.05). There was no significant difference in HSS score between the two groups at 6 and 12 months after operation ( P>0.05). Conclusion:The internal fixation treatment of Schatzker type IV-VI tibial plateau fracture assisted with homeopathic double reverse traction reduction can reduce the amount of intraoperative blood loss, operation time and hospital stay, and improve the knee function in the early postoperative period.

Objective According to clinical demand of quantification evaluation on flat foot and high arch, an intelligent and rapid method to diagnose arch shape based on principal component analysis (PCA) of plantar pressure is proposed, and its clinic validity is tested. Methods Volunteers diagnozed as abnormal arch and healthy arch were included in this study, and a portable intelligent arch test system was designed and developed. By adopting thin-firm piezoresistive sensor array with 44 rows, 52 columns of sensing units, the system could collect plantar pressure distribution data from the subjects under static standing. Foot axis could be fitted automatically by using the self-programmed PCA, so that foot diagnosis was completed with diagnostic report. The plantar pressure results from the system were compared with those from the existing plantar pressure acquisition device, so as to verify precision of collected data. The accuracy of the diagnosis algorithm for flat foot, high arch and healthy foot was verified through comparison with clinical diagnosis. Results The result of the system had a good correlation with that of the existing plantar pressure acquisition device, the deviation of contact area acquired by the system was smaller than 3.2%, and the angle deviation of the fitted foot axis with clinically defined angel was less than 1°. The system was capable of making diagnosis on arch shape that was 92.6% consistent with the clinical diagnosis. Conclusions PCA is introduced to automatically fit foot axis to achieve the purpose of fast and accurate extraction of foot arch information. The method can be used to assist clinical diagnosis of flat foot and high arch foot, and contribute to quantative analysis on foot arch deformity and its pathogenesis study.

Nanomaterial-based drug sustainable release systems have been tentatively applied to bone regeneration. They, however, still face disadvantages of high toxicity, low biocompatibility, and low drug-load capacity. In view of the low toxicity and high biocompatibility of polymer nanomaterials and the excellent load capacity of hollow nanomaterials with high specific surface area, we evaluated the hollow polydopamine nanoparticles (HPDA NPs), in order to find an optimal system to effectively deliver the osteogenic drugs to improve treatment of bone defect. Data demonstrated that the HPDA NPs synthesized herein could efficiently load four types of osteogenic drugs and the drugs can effectively release from the HPDA NPs for a relatively longer time in vitro and in vivo with low toxicity and high biocompatibility. Results of qRT-PCR, ALP, and alizarin red S staining showed that drugs released from the HPDA NPs could promote osteogenic differentiation and proliferation of rat bone marrow mesenchymal stem cells (rBMSCs) in vitro. Image data from micro-CT and H&E staining showed that all four osteogenic drugs released from the HPDA NPs effectively promoted bone regeneration in the defect of tooth extraction fossa in vivo, especially tacrolimus. These results suggest that the HPDA NPs, the biodegradable hollow polymer nanoparticles with high drug load rate and sustainable release ability, have good prospect to treat the bone defect in future clinical practice.
Animals ; Bone Regeneration ; Indoles ; Nanoparticles ; Osteogenesis ; Pharmaceutical Preparations ; Polymers ; Rats