Objective:To construct a deep learning model based on YOLOV8-Seg algorithm to conduct automatic segmentation for the central gland(CG)and peripheral zone(PZ)of prostate,so as to provide a reliable basis for clinical diagnosis and treatment.Methods:The sequence data of T2-weighted imaging(T2WI)of horizontal relaxation time of 158 patients were selected from a public data set of magnetic resonance imaging(MRI)for prostate MRI,which was provided by the Charité University Hospital in Berlin,were selected.The all data were divided into a training set(109 cases),a validation set(16 cases),and a test set(33 cases)as the ratio of 7 to1 to 2.A lightweight asymmetric decoupled head(LADH)structure and the large kernel UniRepLKNetBlock module were integrated into the YOLOV8-Seg algorithm to enhance the capabilities of model's extraction feature,and the new model was named as YOLOV8-URLK.The assessment model with mean Average Precision(mAP),Dice Similarity Coefficient(DSC),95%Hausdorff Distance(HD95),and Average Surface Distance(ASD)was adopted to segment performance of the detection at prostate CG and PZ.Comparative experiments were conducted among that and YOLOV8-Seg,TransU-Net,and U-Net network,so as to validate the effectiveness of YOLOV8-URLK for detection and segmentation at prostate zone.Results:On the test set,the mAP@0.5(box)of YOLOV8-URLK model was 0.878,and the mean Dice coefficients,the mean HD95 values and the ASD values of that at CG and PZ were respectively(0.867,17.123 and 1.461)and(14.902,0.898 and 1.112).On the test set,the mAP@0.5(box)of YOLOV8-Seg model was 0.860,and the mean Dice coefficients of that at CG and PZ were 0.851 and 0.884,the mean HD95 values of that at them were 19.174 and 15.298,and ASD values of that at them were 1.781 and 1.219,respectively.On test set,the mean Dice coefficients of TransU-Net model at CG and PZ were 0.864 and 0.824,and the mean HD95 values of that at them were 18.134 and 19.402,and ASD values of that at them were 1.698 and 1.717,respectively.On the test set,the mean Dice coefficients of the U-Net model at CG and PZ were 0.857 and 0.690,and the mean HD95 values of that at them were 18.976 and 26.934,and ASD values of that at them were 1.753 and 2.135.The YOLOV8-URLK model can better reappear the segmentation trend of manual annotations.Conclusion:The YOLOV8-URLK model demonstrates higher precision in the detection and segmentation of MRI images of prostate,which were superior to YOLOV8-Seg,TransU-Net and U-Net.It can enhance the efficiency of the detection and segmentation.

Objective To analyze the risk factors for aseptic inflammation in elderly osteoporosis pa-tients after artificial knee replacement surgery.Methods The clinical data of 223 elderly osteoporosis patients who underwent artificial knee replacement surgery were retrospectively analyzed.The incidence of postopera-tive aseptic inflammation was counted.Patients were divided into occurrence and non-occurrence groups based on whether aseptic inflammation occurred.Univariate and multivariate logistic regression were used to analyze the risk factors for concurrent aseptic inflammation.Results Among all patients,31 cases developed postoper-ative aseptic inflammation,with an incidence rate of 13.90%.The proportions of elderly patients,obese pa-tients,patients with diabetes,those with poor postoperative drainage,patients with hypoproteinemia,and those with excessive postoperative exercise were higher in the occurrence group than in the non-occurrence group(P<0.05).Advanced age,obesity,diabetes,poor postoperative drainage,hypoproteinemia and excessive post-operative exercise were risk factors for aseptic inflammation after total knee arthroplasty in elderly osteoporo-sis patients(OR=2.204,2.261,2.540,2.177,2.109,2.079;P<0.05).Conclusion Advanced age,obesity,diabetes,poor postoperative drainage,hypoproteinemia and excessive postoperative exercise are risk factors for aseptic inflammation after total knee arthroplasty in elderly osteoporosis patients.

Loss-of-function variants in CSDE1 have been strongly linked to neuropsychiatric disorders, yet the precise role of CSDE1 in neurogenesis remains elusive. In this study, we demonstrate that knockout of Csde1 during cortical development in mice results in impaired neural progenitor proliferation, leading to abnormal cortical lamination and embryonic lethality. Transcriptomic analysis revealed that Csde1 upregulates the transcription of genes involved in the cell cycle network. Applying a dual thymidine-labelling approach, we further revealed prolonged cell cycle durations of neuronal progenitors in Csde1-knockout mice, with a notable extension of the G1 phase. Intersection with CLIP-seq data demonstrated that Csde1 binds to the 3' untranslated region (UTR) of mRNA transcripts encoding cell cycle genes. Particularly, we uncovered that Csde1 directly binds to the 3' UTR of mRNA transcripts encoding Cdk6, a pivotal gene in regulating the transition from the G1 to S phases of the cell cycle, thereby maintaining its stability. Collectively, this study elucidates Csde1 as a novel regulator of Cdk6, sheds new light on its critical roles in orchestrating brain development, and underscores how mutations in Csde1 may contribute to the pathogenesis of neuropsychiatric disorders.
Animals ; Neurogenesis/genetics* ; Cell Cycle/genetics* ; Mice, Knockout ; Mice ; Neural Stem Cells/metabolism* ; DNA-Binding Proteins/metabolism* ; Cyclin-Dependent Kinase 6/genetics* ; Cell Proliferation ; 3' Untranslated Regions ; Cerebral Cortex/embryology* ; RNA-Binding Proteins ; Mice, Inbred C57BL

Objective:To investigate the clinical manifestations of medically refractory hereditary movement disorders in children and the efficacy of deep brain stimulation (DBS).Methods:A case series study.The clinical and follow-up data of 20 children with medically refractory hereditary movement disorders who underwent DBS treatment at the Neurology and Functional Neurosurgery Departments of Beijing Children′s Hospital, Capital Medical University, from July 2018 to April 2024, were retrospectively analyzed.The severity of movement disorder symptoms and surgical effects were evaluated using the Burke-Fahn-Marsden Dystonia Rating Scale Movement(BFMDRS-M) or the Unified Parkinson′s Disease Rating Scale Ⅲ(UPDRS Ⅲ).Results:There were 12 males and 8 females among the 20 children, with an onset age ranging from 4 months to 12 years and 5 months.Fourteen patients had hereditary dystonia, which is related to KMT2B in 11 patients, TOR1A in 2 patients and SGCE in 1 patient.Two patients had choreoathetosis, which is related to ADCY5-related familial movement disorders.Two patients had early-onset Parkinson′s disease, which is related to ATP6AP2 in 1 patient and VPS13C in 1 patient.Two patients had neurodevelopmental disorders with involuntary movements, which is related to GNAO1 in 1 patient, and the other patient was idiopathic.All the children were given oral Levodopa, Benzhexol, Baclofen, Tiapride Hydrochloride, Clonazepam alone or in combination.Three children showed obvious dyskinesia after Levodopa treatment.The symptoms of movement disorders in all children exhibited little to no improvement.Levetiracetam and Zonisamide had unstable effects in the treatment of myoclonia.DBS surgery was performed on all the patients aged from 3 to 16 years.Electrodes were successfully inserted into bilateral globus pallidus internus in 14 cases and bilateral subthalamic nuclei in 4 cases.The target was unknown in 2 cases.No surgery-related complications were observed.The patients were followed up for 3 months to 6 years, and the last follow-up age of the patients ranged from 5 years and 7 months to 22 years and 1 month.The rate of improvement in BFMDRS-M score was 37%-100% in 16 patients and >70% in 7 patients with hereditary dystonia.The rate of improvement in UPDRS Ⅲ score was 23% in 1 patient with VPS13C-related early-onset Parkinson′s disease. Conclusions:Childhood medically refractory hereditary movement disorders are a case series that exhibits significant phenotypic and genotypic heterogeneity.DBS surgery demonstrates significant efficacy for KMT2B-, TOR1A-, and SGCE-related hereditary movement disorders.

Granulocytic myeloid-derived suppressor cells(G-MDSCs)are the principal subsets of myeloid-derived suppressor cells(MDSCs),which involved in development and progression of a variety of tumor and non-tumor diseases.G-MDSCs mediated disfunction of immune effector cells(such as T cells and NK cells)through producing Arg-1,ROS,iNOS,etc.is major cause of its immunosuppressive function.To date,a large number of studies have focused on tumor-promoting effects of G-MDSCs.However,their complex immunomodulatory functions,especially their positive effects in diseases such as autoimmune arthritis,are often overlooked.Besides,G-MDSCs share the same origin and phenotype with neutrophils,but their immune functions are heterogeneous.Therefore,precision of G-MDSCs targeted therapy will be largely improved if the two can be accurately distinguished,though this field is still under exploration.At present,there are abundant experimental studies on G-MDSCs at home and abroad,mainly in tumors,but there are no domestic reports on the immunomodulatory function of G-MDSCs in tumors and non-tumor diseases.Therefore,in this review,we summarizes the different roles played by G-MDSCs in tumor and non-tumor diseases,in order to reveal the important and complex functions of G-MDSCs in immune regulation.

Objective:To investigate the clinical manifestations of medically refractory hereditary movement disorders in children and the efficacy of deep brain stimulation (DBS).Methods:A case series study.The clinical and follow-up data of 20 children with medically refractory hereditary movement disorders who underwent DBS treatment at the Neurology and Functional Neurosurgery Departments of Beijing Children′s Hospital, Capital Medical University, from July 2018 to April 2024, were retrospectively analyzed.The severity of movement disorder symptoms and surgical effects were evaluated using the Burke-Fahn-Marsden Dystonia Rating Scale Movement(BFMDRS-M) or the Unified Parkinson′s Disease Rating Scale Ⅲ(UPDRS Ⅲ).Results:There were 12 males and 8 females among the 20 children, with an onset age ranging from 4 months to 12 years and 5 months.Fourteen patients had hereditary dystonia, which is related to KMT2B in 11 patients, TOR1A in 2 patients and SGCE in 1 patient.Two patients had choreoathetosis, which is related to ADCY5-related familial movement disorders.Two patients had early-onset Parkinson′s disease, which is related to ATP6AP2 in 1 patient and VPS13C in 1 patient.Two patients had neurodevelopmental disorders with involuntary movements, which is related to GNAO1 in 1 patient, and the other patient was idiopathic.All the children were given oral Levodopa, Benzhexol, Baclofen, Tiapride Hydrochloride, Clonazepam alone or in combination.Three children showed obvious dyskinesia after Levodopa treatment.The symptoms of movement disorders in all children exhibited little to no improvement.Levetiracetam and Zonisamide had unstable effects in the treatment of myoclonia.DBS surgery was performed on all the patients aged from 3 to 16 years.Electrodes were successfully inserted into bilateral globus pallidus internus in 14 cases and bilateral subthalamic nuclei in 4 cases.The target was unknown in 2 cases.No surgery-related complications were observed.The patients were followed up for 3 months to 6 years, and the last follow-up age of the patients ranged from 5 years and 7 months to 22 years and 1 month.The rate of improvement in BFMDRS-M score was 37%-100% in 16 patients and >70% in 7 patients with hereditary dystonia.The rate of improvement in UPDRS Ⅲ score was 23% in 1 patient with VPS13C-related early-onset Parkinson′s disease. Conclusions:Childhood medically refractory hereditary movement disorders are a case series that exhibits significant phenotypic and genotypic heterogeneity.DBS surgery demonstrates significant efficacy for KMT2B-, TOR1A-, and SGCE-related hereditary movement disorders.

Objective:To construct a deep learning model based on YOLOV8-Seg algorithm to conduct automatic segmentation for the central gland(CG)and peripheral zone(PZ)of prostate,so as to provide a reliable basis for clinical diagnosis and treatment.Methods:The sequence data of T2-weighted imaging(T2WI)of horizontal relaxation time of 158 patients were selected from a public data set of magnetic resonance imaging(MRI)for prostate MRI,which was provided by the Charité University Hospital in Berlin,were selected.The all data were divided into a training set(109 cases),a validation set(16 cases),and a test set(33 cases)as the ratio of 7 to1 to 2.A lightweight asymmetric decoupled head(LADH)structure and the large kernel UniRepLKNetBlock module were integrated into the YOLOV8-Seg algorithm to enhance the capabilities of model's extraction feature,and the new model was named as YOLOV8-URLK.The assessment model with mean Average Precision(mAP),Dice Similarity Coefficient(DSC),95%Hausdorff Distance(HD95),and Average Surface Distance(ASD)was adopted to segment performance of the detection at prostate CG and PZ.Comparative experiments were conducted among that and YOLOV8-Seg,TransU-Net,and U-Net network,so as to validate the effectiveness of YOLOV8-URLK for detection and segmentation at prostate zone.Results:On the test set,the mAP@0.5(box)of YOLOV8-URLK model was 0.878,and the mean Dice coefficients,the mean HD95 values and the ASD values of that at CG and PZ were respectively(0.867,17.123 and 1.461)and(14.902,0.898 and 1.112).On the test set,the mAP@0.5(box)of YOLOV8-Seg model was 0.860,and the mean Dice coefficients of that at CG and PZ were 0.851 and 0.884,the mean HD95 values of that at them were 19.174 and 15.298,and ASD values of that at them were 1.781 and 1.219,respectively.On test set,the mean Dice coefficients of TransU-Net model at CG and PZ were 0.864 and 0.824,and the mean HD95 values of that at them were 18.134 and 19.402,and ASD values of that at them were 1.698 and 1.717,respectively.On the test set,the mean Dice coefficients of the U-Net model at CG and PZ were 0.857 and 0.690,and the mean HD95 values of that at them were 18.976 and 26.934,and ASD values of that at them were 1.753 and 2.135.The YOLOV8-URLK model can better reappear the segmentation trend of manual annotations.Conclusion:The YOLOV8-URLK model demonstrates higher precision in the detection and segmentation of MRI images of prostate,which were superior to YOLOV8-Seg,TransU-Net and U-Net.It can enhance the efficiency of the detection and segmentation.

Granulocytic myeloid-derived suppressor cells(G-MDSCs)are the principal subsets of myeloid-derived suppressor cells(MDSCs),which involved in development and progression of a variety of tumor and non-tumor diseases.G-MDSCs mediated disfunction of immune effector cells(such as T cells and NK cells)through producing Arg-1,ROS,iNOS,etc.is major cause of its immunosuppressive function.To date,a large number of studies have focused on tumor-promoting effects of G-MDSCs.However,their complex immunomodulatory functions,especially their positive effects in diseases such as autoimmune arthritis,are often overlooked.Besides,G-MDSCs share the same origin and phenotype with neutrophils,but their immune functions are heterogeneous.Therefore,precision of G-MDSCs targeted therapy will be largely improved if the two can be accurately distinguished,though this field is still under exploration.At present,there are abundant experimental studies on G-MDSCs at home and abroad,mainly in tumors,but there are no domestic reports on the immunomodulatory function of G-MDSCs in tumors and non-tumor diseases.Therefore,in this review,we summarizes the different roles played by G-MDSCs in tumor and non-tumor diseases,in order to reveal the important and complex functions of G-MDSCs in immune regulation.

The theory of"lung governing skin and hair"has always occupied an important position in the clinical practice of traditional Chinese medicine.However,in western medicine,the close correlation between the lungs and the skin in health and disease has not been established.The difference between these two medical views has triggered an urgent need for the scientific interpretation and clinical application of the theory of"lung governing skin and hair"in western medicine.Therefore,the purpose of this paper is to discuss the application of"lung governing skin and hair"in chinese medicine and the correlation between the lung and the skin in western medicine from the connotation and history of"lung governing skin and hair"in Chinese medicine.In addition,we will discuss the common pathologic biomarkers of lung and skin diseases in western medicine and the co-morbidities between lung and skin,with the aim to provide new ideas for the clinical diagnosis and treatment of lung and skin diseases and modern research,as well as providing a direction for the integration of the theory of"lung governing skin and hair"into the clinical practice of western medicine.

In medical research,predictive models have been widely used to predict disease progression and identify high-risk populations in advance, especially in the prevention and diagnosis of chronic diseases. In ophthalmology, the predictive and diagnostic models for fundus diseases such as age-related macular degeneration and diabetic retinopathy have demonstrated expert-level accuracy. However, the application of predictive models is still in the exploratory stage as for myopia prevention and control. The establishment of a predictive model is helpful to identify the high-risk myopic children in advance, so that preventive measures such as adequate outdoor activities and reducing near work can be taken in time, which is of great significance to prevent or slow down the occurrence and development of myopia. Because the mechanism of myopia has not been fully elucidated, there are still challenges and limitations in the selection of application objects, predictors and predictive outcomes. This paper reviews the research progress of different types of myopia predictive models in order to provide reference for further development and improvement.