Nonobstructive azoospermia (NOA), one of the most severe types of male infertility, etiology often remains unclear in most cases. Therefore, this study aimed to detect four biallelic detrimental variants (0.5%) in the minichromosome maintenance domain containing 2 ( MCMDC2 ) genes in 768 NOA patients by whole-exome sequencing (WES). Hematoxylin and eosin (H&E) demonstrated that MCMDC2 deleterious variants caused meiotic arrest in three patients (c.1360G>T, c.1956G>T, and c.685C>T) and hypospermatogenesis in one patient (c.94G>T), as further confirmed through immunofluorescence (IF) staining. The single-cell RNA sequencing data indicated that MCMDC2 was substantially expressed during spermatogenesis. The variants were confirmed as deleterious and responsible for patient infertility through bioinformatics and in vitro experimental analyses. The results revealed four MCMDC2 variants related to NOA, which contributes to the current perception of the function of MCMDC2 in male fertility and presents new perspectives on the genetic etiology of NOA.
Humans ; Male ; Azoospermia/genetics* ; Meiosis/genetics* ; Spermatogenesis/genetics* ; Adult ; Exome Sequencing ; Microtubule-Associated Proteins/genetics* ; Alleles ; Infertility, Male/genetics*

Objectives:To evaluate the predictive value of Tabular Prior-data Fitted Network(TabPFN) for short-term outcome in patients with spontaneous intracerebral hemorrhage (sICH), and compared with the Extreme Gradient Boosting (XGboost) model and traditional logistic regression (LR) model. Methods:Patients with sICH admitted to the Department of Neurology, Hefei Second People's Hospital from January 2018 to March 2024 were included retrospectively. The demographic and baseline data were collected. At 3 months after onset, the modified Rankin Scale score was used to determine the outcome, 0-2 was defined as good outcome and >2 was defined as poor outcome. All enrolled patients were randomly divided into a training set and a testing set at a ratio of 7:3. Feature selection was performed using recursive feature elimination (RFE) method, and then the selected feature variables were included into TabPFN, XGboost, and LR models for training and testing. The area under the curve (AUC) of receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the models. Shapley additive explanations (SHAP) method was used for model interpretation.Results:A total of 547 patients with sICH were enrolled, including 367 males (67.1%), with a median age of 65 (interquartile range, 54-76) years. Two hundred twenty-six patients (41.3%) had poor outcome. Age, baseline blood pressure (systolic blood pressure, diastolic blood pressure), baseline laboratory tests (white blood cell count, red blood cell count, platelet count, neutrophil count, hemoglobin, fasting blood glucose, creatinine, uric acid, urea nitrogen, alanine aminotransferase, aspartate aminotransferase), hematoma rupture into the ventricle, island sign, baseline hematoma volume, and baseline National Institutes of Health Stroke Scale (NIHSS) score were selected as characteristic variables using RFE method. ROC curve analysis showed that the ROC AUC for TabPFN, Xgboost, and LR models predicting poor short-term outcome in the testing set were 0.918 (95% confidence interval [ CI] 0.870-0.966], 0.883 (95% CI 0.826-0.940), and 0.905 (95% CI 0.854-0.957), respectively. SHAP analysis showed that the top four important variables in the TabPFN model were baseline NIHSS score, baseline hematoma volume, baseline aspartate aminotransferase, and age. Conclusions:The TabPFN model is superior to the LR model and the XGBoost model in predicting poor outcome in patients with sICH. In the TabPFN model, baseline NIHSS score, baseline hematoma volume, aspartate aminotransferase, and age are the most important predictors of poor outcome in patients with sICH.Objectives To evaluate the predictive value of Tabular Prior-data Fitted Network(TabPFN) for short-term outcome in patients with spontaneous intracerebral hemorrhage (sICH), and compared with the Extreme Gradient Boosting (XGboost) model and traditional logistic regression (LR) model. Methods Patients with sICH admitted to the Department of Neurology, Hefei Second People's Hospital from January 2018 to March 2024 were included retrospectively. The demographic and baseline data were collected. At 3 months after onset, the modified Rankin Scale score was used to determine the outcome, 0-2 was defined as good outcome and >2 was defined as poor outcome. All enrolled patients were randomly divided into a training set and a testing set at a ratio of 7:3. Feature selection was performed using recursive feature elimination (RFE) method, and then the selected feature variables were included into TabPFN, XGboost, and LR models for training and testing. The area under the curve (AUC) of receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the models. Shapley additive explanations (SHAP) method was used for model interpretation. Results A total of 547 patients with sICH were enrolled, including 367 males (67.1%), with a median age of 65 (interquartile range, 54-76) years. Two hundred twenty-six patients (41.3%) had poor outcome. Age, baseline blood pressure (systolic blood pressure, diastolic blood pressure), baseline laboratory tests (white blood cell count, red blood cell count, platelet count, neutrophil count, hemoglobin, fasting blood glucose, creatinine, uric acid, urea nitrogen, alanine aminotransferase, aspartate aminotransferase), hematoma rupture into the ventricle, island sign, baseline hematoma volume, and baseline National Institutes of Health Stroke Scale (NIHSS) score were selected as characteristic variables using RFE method. ROC curve analysis showed that the ROC AUC for TabPFN, Xgboost, and LR models predicting poor short-term outcome in the testing set were 0.918 (95% confidence interval [ CI] 0.870-0.966], 0.883 (95% CI 0.826-0.940), and 0.905 (95% CI 0.854-0.957), respectively. SHAP analysis showed that the top four important variables in the TabPFN model were baseline NIHSS score, baseline hematoma volume, baseline aspartate aminotransferase, and age. Conclusions The TabPFN model is superior to the LR model and the XGBoost model in predicting poor outcome in patients with sICH. In the TabPFN model, baseline NIHSS score, baseline hematoma volume, aspartate aminotransferase, and age are the most important predictors of poor outcome in patients with sICH.

Objective A visualized analysis of the relevant literature on the application of Wuling San(Five-Ingredient Powder Containing Poria)in China in the recent 10 years was conducted to explore the application of Wuling San.Methods The applied research of Wuling San issued in the academic journals of CNKI from January 1,2013 to December 31,2022 were retrieved.The corresponding knowledge graphs were drawn with CiteSpace software,and the keywords of the literature were visualized and analyzed.Results A total of 1 121 articles related to the applied research of Wuling San were obtained after preliminary retrieval,and 1 104 articles were included for visual analysis after screening.The results of keyword co-occurrence analysis showed that Wuling San was usually used for treating cirrhosis ascites,chronic heart failure,diabetic nephropathy and other multi-system diseases,and it was mostly used by the compatibility of Taohong Siwu Decoction,Zhenwu Decoction,Xiaochaihu Decoction,Shenqi Pills and Linggui Zhugan Decoction.Wuling San was indicated for the symptoms of edema,dysuria and urinary retention.The commonly-used research methods for Wuling San included network pharmacology,molecular docking,etc.The results of keyword burst analysis showed that the hotspots of Wuling San applied research were as follows:cirrhosis in 2013,Yinchenhao Decoction in 2015,cerebral edema in 2018,and network pharmacology,novel coronavirus-infected pneumonia and cardiac function since 2020.Conclusion Wuling San is widely used in the clinic,and is indicated for water metabolism disorders.Wuling San in the treatment of cirrhotic ascites,chronic heart failure and diabetic nephropathy becomes the research hotspots in recent years.The applied researches of Wuling San on novel coronavirus-infected pneumonia and on improving cardiac function have become the trend and focus of current research.

Objective To observe the regulatory effects of Yitangkang on neuroinflammation and polarization of microglia and astrocytes in db/db mice;To explore the its mechanism in the treatment of cognitive impairment in diabetes.Methods Totally 32 db/db mice were randomly divided into model group,liraglutide group,and Yitangkang low-and high-dosage group.Another C57BL/6 mice were taken as blank group,with 8 mice in each group.Yitangkang low-and high-dosage group were given Yitangkang Decoction 15,30 g/kg respectively,the liraglutide group was intraperitoneally injected with liraglutide 200 μg/kg,the blank group and model group were given the same volume of distilled water by gavage,for 5 weeks.FJC staining was used to observe the damage of hippocampal neurons,ELISA was used to detect the content of IL-6 and IL-1β in hippocampal tissue,immunohistochemistry was used to detect the expressions of IL-6,IL-1β,Iba1 and GFAP in hippocampal tissue,the expressions of CD86,CD206,C3,S100A10,NLRP3,Iba1 and GFAP were detected by immunofluorescence,the protein expressions of CD86,CD206,C3,S100A10 and NLRP3 in hippocampal tissue were detected by Western blot.Results Compared with the blank group,the FJC positive cells in the model group significantly increased,and the contents of IL-6 and IL-1β significantly increased,the expressions of Iba1,CD86,GFAP and C3 significantly increased,CD206 and S100A10 expressions significantly decreased,NLRP3 protein expression and co-expression with Iba1 and GFAP significantly increased,with statistical significance(P<0.05,P<0.01).Compared with the model group,the FJC positive cells in hippocampal tissue of liraglutide group and Yitangkang low-and high-dosage group significantly decreased,the contents of IL-6 and IL-1β significantly decreased,the expressions of Iba1,CD86,GFAP and C3 significantly decreased,the expressions of CD206 and S100A10 significantly increased,the expression of NLRP3 protein and co-expression with Iba1 and GFAP were significantly decreased,the differences were statistically significant(P<0.05,P<0.01)except for CD206 in Yitangkang low-dosage group.Conclusion Yitangkang can effectively regulate the expression of NLRP3 in db/db mice,promote the transformation of microglia/astrocytes from M1/A1 type to M2/A2 type,inhibit the inflammatory response,and exert neuroprotective effects.

Objective:To develop a short-term prognostic model of spontaneous cerebral hemorrhage based on eXtreme Gradient Boosting (XGBoost) machine learning, and to compare its predictive performance with a Logistic regression model.Methods:Patients with sICH admitted to Department of Neurology, Second People's Hospital of Hefei from January 2018 to March 2022 were chosen; their general demographic characteristics, medical history, laboratory indices and cranial imaging data were retrospectively collected. The prognoses of patients 90 d after discharge were evaluated according to modified Rankin Scale (mRS) scores (good prognosis: mRS scores<3; poor prognosis: mRS scores≥3). XGboost and multiple Logistic regression models were used to screen out the factors for prognoses of patients 90 d after discharge, and area under receiver operating characteristic (ROC) curves, sensitivity, specificity and prediction accuracy of the 2 models were analyzed and compared.Results:A total of 413 patients with sICH were included; 180 patients(43.6 %) had poor prognosis and 233 (56.4%) had good prognosis 90 d after discharge. Multivariate Logistic regression results showed that age≥65 years, hemorrhage into the ventricle, hematoma volume of 20-40 mL, hematoma volume>40 mL and National Institutes of Health Stroke Scale (NIHSS) scores were independent influencing factors for short-term prognoses of sICH ( P<0.05). The variables in the XGBoost model were ranked in order of importance: NIHSS scores, systolic blood pressure at admission, Glasgow coma scale (GCS) scores, age≥65 years, hemorrhage into the ventricle, hematoma volume of 20-40 mL, and hematoma volume>40 mL. AUC of XGBoost model in predicting the prognosis was 0.895 (95% CI: 0.820-0.947), enjoying sensitivity of 68.89%, specificity of 94.83%, and prediction accuracy of 83.5%. AUC of Logistic regression model in predicting the prognosis was 0.894 (95% CI: 0.818-0.946), enjoying sensitivity of 93.33%, specificity of 70.69%, and prediction accuracy of 80.58%. Conclusion:The short-term prognostic model based on XGboost for sICH patients has high predictive efficacy, whose predictive accuracy is better than traditional Logistic regression.

Six compounds were isolated from aqueous extract of wine-processed Corni Fructus through silica gel, ODS column chromatography, Sephadex LH-20 gel column chromatography, reverse phase preparative HPLC and other chromatographic separation technologies. Their structures were identified with multiple spectroscopical methods including HR-ESI-MS, UV, IR, NMR and ECD and so on. Their structures were established as pinoresinoside B(1), cornusgallicacid A(2),(+)-isolariciresinol-9'-O-β-glucopyranoside(3),(-)-isolariciresinol 3α-O-β-D-glucopyranoside(4),(7R,8S)-dihydrodehydrodiconiferyl alcohol 9-O-β-D-glucopyranoside(5), and(-)-seco isolariciresinol-9'-O-β-D-glucopyranoside(6). Among them, compounds 1 and 2 were two new compounds. The biological activity evaluation results showed that compounds 2 and 6 had strong DPPH free radical scavenging ability, with EC_(50) values of(4.18±1.96) and(21.45±1.19) μmol·L~(-1), respectively. Compounds 1 and 2 had protective effects on H_2O_2-induced oxidative damage in NRK-52E cells in a dose-dependent manner, and the cell survival rate of compound 2 at 100 μmol·L~(-1) was 96.09%±1.77%.
Cornus ; Wine ; Naphthols ; Lignin

OBJECTIVE: To investigate the mechanism of self-efficacy between self-management ability and self-management behavior and its differences among patients with different disease courses through mediation tests. METHODS: In the study, 489 patients with type 2 diabetes who attended the endocrinology departments of four hospitals in Shanxi Province and Inner Mongolia Autonomous Region from July to September 2022 were enrolled as the study population. They were investigated by General Information Questionnaire, Diabetes Self-Management Scale, Chinese version of Diabetes Empowerment Simplified Scale, and Diabetes Self-Efficacy Scale. Mediation analyses were performed using the linear regression model, Sobel test, and Bootstrap test in the software Stata version 15.0 and divided the patients into different disease course groups for subgroup analysis according to whether the disease course was > 5 years. RESULTS: In this study, the score of self-management behavior in the patients with type 2 diabetes was 6.16±1.41, the score of self-management ability was 3.99±0.74, and the score of self-efficacy was 7.05±1.90. The results of the study showed that self-efficacy was positively correlated with self-management ability (r=0.33) as well as self-management behavior (r=0.47) in the patients with type 2 diabetes (P < 0.01). The mediating effect of self-efficacy accounted for 38.28% of the total effect of self-management ability on self-management behaviors and was higher in the behaviors of blood glucose monitoring (43.45%) and diet control (52.63%). The mediating effect of self-efficacy accounted for approximately 40.99% of the total effect for the patients with disease course ≤ 5 years, while for the patients with disease course > 5 years, the mediating effect accounted for 39.20% of the total effect. CONCLUSION Self-efficacy enhanced the effect of self-management ability on the behavior of the patients with type 2 diabetes, and this positive effect was more significant for the patients with shorter disease course. Targeted health education should be carried out to enhance patients' self-efficacy and self-management ability according to their disease characteristics, to stimulate their inner action, to promote the development of their self-management behaviors, and to form a more stable and long-term mechanism for disease management.
Humans ; Diabetes Mellitus, Type 2/therapy* ; Self Efficacy ; Self-Management ; Blood Glucose Self-Monitoring ; Blood Glucose ; Self Care

Objective: To compare the impact of bicuspid aortic valve (BAV) or tricuspid aortic valve (TAV) on hemodynamics and left ventricular reverse remodeling after transcatheter aortic valve replacement (TAVR). Methods: We retrospectively analyzed the clinical data of patients who underwent TAVR in our hospital from January 2019 to March 2021. Patients were divided into BAV group and TAV group according to aortic contrast-enhanced CT. Each patient was followed up by N-terminal pro B-type natriuretic peptide (NT-proBNP) and echocardiography at four time points, namely before TAVR, 24 hours, 1 month and 6 months after TAVR. Echocardiographic data, including mean pressure gradient (MPG), aortic valve area (AVA), left ventricular ejection fraction (LVEF), left ventricle mass (LVM) and LV mass index (LVMi) were evaluated. Results: A total of 41 patients were included. The age was (75.0±8.6) years, and male patients accounted for 53.7%. There were 19 BAV patients and 22 TAV patients in this cohort. All patients undergoing TAVR using a self-expandable prosthesis Venus-A valve. MPG was (54.16±21.22) mmHg(1 mmHg=0.133 kPa) before TAVR, (21.11±9.04) mmHg at 24 hours after TAVR, (18.84±7.37) mmHg at 1 month after TAVR, (17.68±6.04) mmHg at 6 months after TAVR in BAV group. LVEF was (50.42±13.30)% before TAVR, (53.84±10.59)% at 24 hours after TAVR, (55.68±8.71)% at 1 month after TAVR and (57.42±7.78)% at 6 months after TAVR in BAV group. MPG and LVEF substantially improved at each time point after operation, and the difference was statistically significant (all P<0.05) in BAV group. MPG in TAV group improved at each time point after operation, and the difference was statistically significant (all P<0.05). LVMi was (164.13±49.53), (156.37±39.11), (146.65±38.84) and (134.13±39.83) g/m² at the 4 time points and the value was significantly reduced at 1 and 6 months post TAVR compared to preoperative level(both P<0.05). LVEF in the TAV group remained unchanged at 24 hours after operation, but it was improved at 1 month and 6 months after operation, and the difference was statistically significant (all P<0.05). LVMi in TAV group substantially improved at each time point after operation, and the difference was statistically significant (all P<0.05). NT-proBNP in both two groups improved after operation, at 1 month and 6 months after operation, and the difference was statistically significant (all P<0.05). MPG in TAV group improved better than in BAV group during the postoperative follow-up (24 hours after TAVR: (11.68±5.09) mmHg vs. (21.11±9.04) mmHg, P<0.001, 1 month after TAVR: (10.82±3.71) mmHg vs. (18.84±7.37) mmHg, P<0.001, 6 months after TAVR: (12.36±4.42) mmHg vs. (17.68±6.04) mmHg, P=0.003). There was no significant difference in NT-proBNP between BAV group and TAV group at each time point after operation (all P>0.05). There was no significant difference in paravalvular regurgitation and second prosthesis implantation between the two groups (all P>0.05). Conclusions: AS patients with BAV or TAV experience hemodynamic improvement and obvious left ventricular reverse remodeling after TAVR, and the therapeutic effects of TAVR are similar between BAV and TAV AS patients in the short-term post TAVR.
Humans ; Male ; Aged ; Aged, 80 and over ; Transcatheter Aortic Valve Replacement ; Aortic Valve/surgery* ; Bicuspid Aortic Valve Disease/surgery* ; Aortic Valve Stenosis/surgery* ; Retrospective Studies ; Stroke Volume ; Heart Valve Diseases ; Ventricular Function, Left ; Treatment Outcome ; Ventricular Remodeling ; Hemodynamics

Autoimmune hepatitis (AIH) is an inflammatory disease of the liver mediated by autoimmune response, and in the diagnosis and treatment of AIH, it is of great importance to accurately assess the progression of liver inflammation, screen out the patients requiring corticosteroid therapy, and evaluate the therapeutic outcome. This article introduces a variety of new noninvasive techniques which have been discovered by clinical and experimental studies in recent years and have the potential to evaluate the progression of AIH, as well as the advantages and disadvantages of each technique. It is concluded that the new noninvasive techniques have more advantages in guiding the corticosteroid therapy for AIH, but further clinical studies are still needed for verification.

Objective: To establish the norms and clinical application standards of mass spectrometry method to measure vitamin D in capillary blood. Methods: Following the "Province-City-Hospital" sampling procedure, a cross-sectional sample of 1 655 healthy children under 7 years of age were recruited from 12 provinces, autonomous regions, or municipalities in China from November 2020 to December 2021. Both venous and capillary blood samples from the same individual were collected, for which serum 25(OH)D levels were measured by high-performance liquid chromatography-mass spectrometry (HPLC-MS/MS) method. Pearson correlation analysis and linear regression analysis were used to detect the correlation and determine a correction algorithm. The agreement was analyzed using Bland-Altman plot and Kappa statistic. The sensitivity and specificity were evaluated using receiver operating characteristic (ROC) curve method. Results: Venous and capillary 25(OH)D levels of 1 655 healthy children under 7 years of age were 74.25 (59.50, 92.00) and 68.75 (54.44, 86.25) nmol/L, respectively, showed a significant difference(Z=22.14, P<0.001) as well as a highly significant correlation between venous and capillary 25(OH)D levels(r=0.95, P<0.001). Linear regression analysis was then performed to determine the correction algorithm: lg(corrected capillary 25(OH)D)=0.13+0.95×lg(capillary 25(OH)D)(R²=0.90,P<0.001). The deviation between venous and corrected capillary 25(OH)D levels was (0.50±17.50) nmol/L, a difference value that did not reach statistical significance (P>0.05). The cut-off values of capillary blood 25(OH)D values 30.00, 50.00, 75.00 nmol/L corresponding to venous blood 25(OH)D values were 26.59, 45.56, and 69.84 nmol/L, respectively. Good consistency was observed between venous and corrected capillary 25(OH)D levels in clinical diagnosis (Kappa value 0.68-0.81). Corrected capillary 25(OH)D showed a high clinically predictive value (area under curve 0.97-0.99,sensitivity 0.72-0.92,specificity 0.89-0.99). Conclusion: The standardized capillary HPLC-MS/MS method can be used to detect 25(OH)D levels in children clinically.
Child ; Humans ; Vitamin D ; Cross-Sectional Studies ; Tandem Mass Spectrometry ; Vitamins ; Reference Standards