Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective To analyze the nonlinear relationship between hypothermic machine perfusion (HMP) parameters and delayed graft function (DGF) and optimize the construction of a predictive model for DGF. Methods The data of 923 recipients who underwent kidney transplantation from deceased donors were retrospectively analyzed. According to the occurrence of DGF, the recipients were divided into DGF group (n=823) and non-DGF group (n=100). Donor data, HMP parameters and recipient data were analyzed for both groups. The nonlinear relationship between HMP parameters and the occurrence of DGF was explored based on restricted cubic splines (RCS). Over-sampling, under-sampling and balanced sampling were used to address the imbalance in the proportion of DGF to construct logistic regression predictive models. The area under the curve (AUC) of each model was compared in the validation set, and a nomogram model was constructed. Results Donor BMI, cold ischemia time of the donor kidney, and HMP parameters (initial and final pressures, resistance, and perfusion time) were significantly different between the DGF and non-DGF groups (all P<0.05). The RCS analysis revealed a threshold-like nonlinear relationship between HMP parameters and the risk of DGF. Among the models constructed using different sampling methods, the balanced sampling model had the highest AUC. Using this model, a nomogram was constructed to stratify recipients based on risk scores. Recipients in the high-risk group had higher serum creatinine levels at 1, 6, and 12 months after kidney transplantation compared to those in the low-risk group (all P<0.05). Conclusions There is a nonlinear relationship between HMP parameters and the risk of DGF, and the threshold is helpful for organ quality assessment and monitoring of graft function after transplantation. The predictive model for DGF constructed on the base of balanced sampling algorithms helps perioperative decision-making and postoperative graft function monitoring of kidney transplantation.

OBJECTIVE: To summarize the latest research progress of graphene and its derivatives (GDs) in bone repair. METHODS: The relevant research literature at home and abroad in recent years was extensively accessed. The properties of GDs in bone repair materials, including mechanical properties, electrical conductivity, and antibacterial properties, were systematically summarized, and the unique advantages of GDs in material preparation, functionalization, and application, as well as the contributions and challenges to bone tissue engineering, were discussed. RESULTS: The application of GDs in bone repair materials has broad prospects, and the functionalization and modification technology effectively improve the osteogenic activity and material properties of GDs. GDs can induce osteogenic differentiation of stem cells through specific signaling pathways and promote osteogenic activity through immunomodulatory mechanisms. In addition, the parameters of GDs have significant effects on the cytotoxicity and degradation behavior. CONCLUSION GDs has great potential in the field of bone repair because of its excellent physical and chemical properties and biological properties. However, the cytotoxicity, biodegradability, and functionalization strategies of GDs still need to be further studied in order to achieve a wider application in the field of bone tissue engineering.
Graphite/pharmacology* ; Tissue Engineering/methods* ; Humans ; Osteogenesis/drug effects* ; Biocompatible Materials/pharmacology* ; Bone Regeneration ; Tissue Scaffolds/chemistry* ; Cell Differentiation ; Bone and Bones ; Bone Substitutes/chemistry* ; Animals

OBJECTIVES: To investigate the prognostic significance of PDZ-binding kinase (PBK) in pan-cancer and its potential as a therapeutic target for pancreatic cancer. METHODS: PBK expression levels were investigated in 33 cancer types based on data from TCGA, GEO and CPTAC databases. RT-PCR and Western blotting were employed to examine PBK expression in clinical pancreatic cancer specimens and cell lines. The diagnostic and prognostic value of PBK in pancreatic cancer was evaluated using survival analysis, Cox regression analysis, ROC curve analysis, and clinical correlation studies. Gene enrichment and immune correlation analyses were conducted to explore the potential role of PBK in tumor microenvironment, and its correlation with drug sensitivity was investigated using GDSC and CTRP datasets. In pancreatic cancer BXPC-3 cells, the effects of lentivirus-mediated PBK knockdown on cell proliferation, migration, and invasion were examined using CCK-8, colony formation, and Transwell assays. The interaction between PBK and non-SMC condensin II complex subunit G2 (NCAPG2) was analyzed using co-immunoprecipitation and Western blotting. RESULTS: PBK was overexpressed in multiple cancer types, including pancreatic cancer. A high PBK expression was associated with a poor prognosis of the patients and correlated with immune infiltration and alterations in the tumor microenvironment. Elevated PBK expression was positively correlated with the sensitivity to MEK inhibitors (Trametinib) and EGFR inhibitors (Afatinib) but negatively with the sensitivity to Bcl-2 inhibitors (TW37) and niclosamide. In BXPC-3 cells, PBK knockdown significantly suppressed NCAPG2 expression and inhibited cell proliferation, migration, and invasion. Co-immunoprecipitation confirmed a direct binding between PBK and NCAPG2. CONCLUSIONS PBK is a key regulator of pancreatic cancer and interacts with NCAPG2 to promote tumor progression, suggesting its value as a potential biomarker and therapeutic target for pancreatic cancer.
Humans ; Pancreatic Neoplasms/genetics* ; Prognosis ; Biomarkers, Tumor/genetics* ; Cell Line, Tumor ; Cell Proliferation ; Adenocarcinoma/metabolism* ; Tumor Microenvironment ; Cell Movement ; Mitogen-Activated Protein Kinase Kinases

Orbital disorders include conditions originating from the orbital bones, surrounding tissues, and post-orbital septum. They also include systemic ailments affecting the orbit. Different clinical symptoms make up the complex range of orbital disorders. Because these disorders mostly impact the orbital area instead of the intraocular compartment, there is little diagnostic usefulness for typical ophthalmic visual tests. As such, the primary instruments for diagnosing and evaluating orbital illnesses have become ophthalmic imaging modalities, including ocular ultrasonography(B-scan), computed tomography(CT), and magnetic resonance imaging(MRI). One way to improve the precision and promptness of diagnosing orbital diseases is to standardize the functioning of widely used imaging equipment and define the radiological features of orbital abnormalities. Such programs are crucial for the care of patients with orbital disorders since they considerably reduce the number of misdiagnoses and missed diagnoses in these individuals. The underlying concepts, operational techniques, and normal and pathological imaging findings associated with common diagnostic tools for orbital illnesses are all thoroughly reviewed in this guideline. The objective is to improve primary healthcare settings' diagnostic competence in the field of orbital pathology and to standardize procedures for diagnosing orbital disorders.

Objective To investigate the efficacy of red and blue lights combined with Yufa Shengfa solution and 5% minoxidil solution in treating Ludwig type Ⅰ female androgenetic alopecia. Methods A total of 160 patients with Ludwig type Ⅰ female androgenetic alopecia were randomly divided into group A (Yufa Shengfa solution combined with 5% minoxidil solution), group B (red and blue lights therapy combined with Yufa Shengfa solution), group C (red and blue lights therapy combined with 5% minoxidil solution) and group D (red and blue lights therapy combined with Yufa Shengfa solution and 5% minoxidil solution), with 40 cases in each group. All the patients orally took compound glycyrrhizin tablets and Centrum multivitamins, and the therapeutic period was 3 months. Differences in hair diameter, hair density, and the number of hair follicles with multiple hairs were compared before and after treatment. Results The hair density, hair diameter, and the number of hair follicles with multiple hairs improved significantly in 4 groups compared with those before treatment, and group D showed the best improvement in these parameters, with significant between-group differences (P < 0.001). There were no serious adverse events or side effects during treatment in all the patients. Conclusion Red and blue lights therapy combined with Yufa Shengfa solution and 5% minoxidil solution is an effective non-surgical treatment for Ludwig type Ⅰ female androgenetic alopecia.

OBJECTIVE To test and compare the median effective dose(ED50) of ciprofol for gastroscope in patients of different genders and ages. METHODS Patients who planed to undergo gastroscope examination and treatment from March 2023 to April 2023 were selected, and divided into four groups according to stratified random method: N1 group(non-elderly male patients), N2 group(non-elderly female patients), N3 group(elderly male patients), and N4 group(elderly female patients). All patients received intravenous injection of 0.1 μg·kg−1 sufentanil followed by injection of the test dose of ciprofol according to Dixon’s modified sequential method. Gastroscope was performed after the disappearance of the eyelash reflex. The initial dose of ciprofol in all four groups was 0.4 mg·kg−1, and the ratio of adjacent doses was 1∶1.1. The next patient would receive a 10% increase in the dose of ciprofol if the patient experienced positive reactions such as coughing, frowning, and body movements during the endoscopy process. Otherwise, it would be judged as a negative reaction, and the next patient would receive a 10% decrease in the dose of ciprofol. The transition from a positive reaction to a negative reaction was defined as a turning point, and the study was terminated when seven turning points occurred. Hemodynamic parameters, oxygen saturation and adverse reactions were recorded at different time points. The Probit regression analysis method was used to calculate the ED50 of ciprofol for four groups. RESULTS The ED50 of ciprofol combined with 0.1 μg·kg−1 sufentanil for gastroscope in the non-elderly men, non-elderly women, elderly men, and elderly women were 0.409, 0.373, 0.356, 0.327 mg·kg−1, respectively. The ED50 of ciprofol in the N1 group was significantly higher compared with the N2 group and N3 group(P<0.05). The ED50 of ciprofol in the N4 group was significantly lower compared with the N2 group and N3 group(P<0.05). CONCLUSION The ED50 of ciprofol is significantly different among gastroscope patients of different genders and ages, which is lower in female patients than in male patients, and is lower in older patients than in non-elderly patients.

BACKGROUND:Inflammation and oxidative stress contribute to the barriers of regeneration in chronic wound.Oxymatrine has various biological activities,such as anti-oxidation,anti-inflammation and so on,which may have the potential effect of promoting wound healing. OBJECTIVE:To investigate the effect of oxymatrine on wound healing and the protective effect on H2O2-induced oxidative stress injury in human keratinoid cell line HaCaT cells. METHODS:(1)In vivo experiment:Hyaluronic acid methacryloyl hydrogels containing 0,0.05,0.1,0.2 g/L oxymatrine were prepared.A full-layer skin defect model with a diameter of 12 mm was made in the back of 75 diabetic mice and randomly divided into five groups for intervention,with 15 mice in each group.The wounds of the model group were bandaged and fixed.The wounds of the hydrogel group were covered with hyaluronic acid methacryloyl hydrogel.The wounds of the low-dose,moderate-dose and high-dose oxymatrine groups were covered with hyaluronic acid methacryloyl hydrogel containing 0.05,0.1,and 0.2 g/L oxymatrine,respectively,and then bandaged and fixed after light curing.Relevant indicators were detected within 14 days.(2)In vitro experiment:Human keratinocyte line HaCaT was divided into five groups.The normal group was cultured conventionally.H2O2 group and low-,moderate-and high-concentration oxymatrine groups were treated with H2O2 for 4 hours,and then the medium was replaced with medium containing 0,0.05,0.1,and 0.2 g/L oxymatrine,respectively,and the relevant indexes were detected after 24 hours of culture. RESULTS AND CONCLUSION:(1)In vivo experiment:Compared with the model group,the wound healing rate of mice in the hydrogel group had no significant change.The wound healing rate of mice in the low-,moderate-and high-dose oxymatrine group was increased at 7 and 14 days after treatment(P<0.05).Pathological observation of wound section 14 days after treatment showed that compared with the model group,the thickness of regenerated epidermal layer,the number of microvessels,and collagen deposition in the moderate-and high-dose oxymatrine groups were increased(P<0.05).Western blot assay analysis of wound samples 7 days after surgery showed that compared with the model group,the protein expressions of tumor necrosis factor α and interleukin 6 in the moderate-and high-dose oxymatrine groups were decreased(P<0.05).(2)In vitro experiment:CCK8 assay,EdU and Ki67 staining showed that compared with the H2O2 group,the cell proliferation ability of the moderate-and high-concentration oxymatrine groups was significantly increased(P<0.05).Compared with the H2O2 group,mitochondrial membrane potential was increased(P<0.05)and reactive oxygen species content was decreased(P<0.05)in the moderate-and high-concentration oxymatrine groups.Western blot assay results showed that compared with the H2O2 group,the expression levels of Nrf2 nuclear protein,Nrf2 total protein,HO-1 protein,and superoxide dismutase 1 protein were increased in the high-concentration oxymatrine group(P<0.05).(3)These findings confirm that oxymatrine can alleviate oxidative stress damage in HaCat cells and accelerate wound healing by upregulating the levels of Nrf2 and HO-1 protein.