BACKGROUND:Angiogenesis is the main treatment target of cardiovascular diseases.Bone morphogenetic protein 2 can modulate angiogenesis,but the regulatory effect of endothelial cell-specific bone morphogenetic protein 2 on angiogenesis is unclear. OBJECTIVE:To investigate the effect of endothelial-specific bone morphogenetic protein 2 on angiogenesis. METHODS:(1)Bioinformatics analysis:Cellular expression specificity and abundance of bone morphogenetic protein 2 were meta-analyzed by the PanglaoDB single-cell transcriptome database.The endothelial cell transcriptome sequencing dataset of the mouse hindlimb model and endocardial transcriptome dataset of mice overexpressing bone morphogenetic protein 2 were reanalyzed to evaluate the effect of endothelial cell bone morphogenetic protein 2 on the angiogenesis pathway.(2)Validation in vivo:After establishing the mouse hindlimb model,we compared the blood perfusion between the affected and sham limb at 7,14,and 21 days.The expression of the colocation of bone morphogenetic protein 2 and CD31 was explored by immunofluorescence and immunohistochemical staining.(3)Validation in vitro:The cultured human umbilical vein endothelial cells in vitro were divided into a control group,a hypoxia group,and a bone morphogenetic protein 2 inhibitor Noggin intervention group.After being cultured for 24 hours,the angiogenesis of endothelial cells in each group was observed. RESULTS AND CONCLUSION:(1)Endothelial cells are an important cell subgroup expressing bone morphogenetic protein 2.Both in the mouse hindlimb ischemia model and endocardial cells overexpressing bone morphogenetic protein 2,bone morphogenetic protein 2 was significantly up-regulated,and the angiogenesis pathway was significantly activated.(2)In the mouse hindlimb model,bone morphogenetic protein 2-positive blood vessels around neoangiogenesis increased significantly at 7 days of ischemia(P<0.05),and decreased significantly after 2 weeks of ischemia(P<0.001).(3)In umbilical vein endothelial cells cultured in vitro,after hypoxic intervention,the migration and sprouting of endothelial cells increased significantly,and the expression of angiogenesis factors vascular endothelial growth factor and platelet-derived growth factor was significantly increased.Noggin significantly reduced hypoxia-induced endothelial cell angiogenesis(P<0.001)and down-regulated the expression of vascular endothelial growth factor and platelet-derived growth factor(P<0.01).(4)These findings verify that endothelial cell-specific bone morphogenetic protein 2 can regulate angiogenesis,and targeting endothelial cell bone morphogenetic protein 2 is a promising way to improve angiogenesis.

Objective To investigate the value of liver imaging reporting and data system version 2018(LI-RADS v2018)features in predicting microvascular invasion(MVI)of hepatocellular carcinoma(HCC).Methods Ninety-two patients diagnosed as LR-5 and pathologically confirmed HCC were included and divided into MVI positive group and MVI negative group.The major and ancillary features of LI-RADS v2018 were compared between the two groups.Logistic univariate and multivariate regression analyses were used to obtain the independent risk factors for MVI,and the value of differential features in predicting MVI was also assessed using the receiver operating characteristic(ROC)curve.Results In the MVI positive group,the pathological grade of HCC was higher than that in the MVI negative group,with larger tumor diameter and higher incidence of mosaic architecture and corona enhancement.However,there was no difference in any other features.In logistic univariate analysis,tumor diameter,mosaic architecture and corona enhancement were independent risk factors for predicting the MVI,with area under the curve(AUC)values of 0.763 and 0.628 and 0.670 for the diagnosis of MVI,respectively.Conclusion In high-risk LR-5 population,tumor diameter,mosaic architecture and corona enhancement can help to predict the MVI.Accurate identification of LI-RADS v2018 features may facilitate personalized management of HCC patients.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

[Objective]To present a case of complete androgen insensitivity syndrome (CAIS) coexisting with Müllerian duct remnants (MDR) and to review previous reports in the literature to enhance the understanding of the clinical manifestations and pathophysiology of CAIS.[Methods]The study aimed to diagnose complete androgen insensitivity syndrome (CAIS) by conducting physical examinations,chromosomal analysis,whole exome sequencing,laboratory tests including follicle-stimulating hormone (FSH),luteinizing hormone (LH),total testosterone,estradiol,anti-Müllerian hormone (AMH),inhibin B,dehydroepiandrosterone sulfate (DHEAS),androstenedione,17-hydroxyprogesterone,and imaging studies such as pelvic ultrasound and pelvic magnetic resonance imaging (MRI). Laparoscopy revealed the presence of Müllerian duct structures. Additionally,the study reviewed similar cases of CAIS combined with Müllerian duct remnants reported in the literature.[Results]The child presented with female phenotype,elevated levels of FSH,LH,and testosterone. Pelvic MRI showed bilateral cryptorchidism without visible uterus or fallopian tubes. The chromosomal karyotype was 46,XY,and whole exome sequencing identified a pathogenic variant in the androgen receptor (AR) gene,c.2359C>T (p.Arg787*). No abnormalities were found in the AMH and AMHR2 gene tests. Laparoscopic exploration revealed underdeveloped testes and an underdeveloped uterus. Pathology showed the presence of fallopian tube-like structures next to the testicles. A total of 11 cases with genetically confirmed diagnosis of CAIS coexisting with MDR were retrieved from the database. The findings suggest that the initial clinical presentation,biochemical data,and gonadal pathology of CAIS with MDR are similar to those without MDR.[Conclusion]The study reports a patient with CAIS coexisting with MDR,which broadens the clinical spectrum of CAIS and provides a perspective for basic research on Müllerian duct regression that is independent of the AMH-AMHR2 signaling pathway.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.

Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.