ObjectiveTo investigate the therapeutic effect of Astragali Radix-mediated changes in gut microbiota on treating type 2 diabetes （T2DM）. MethodsA 12-week randomized， placebo-controlled clinical trial enrolled eighty patients with newly diagnosed type 2 diabetes and poor glycemic control in the Qi deficiency type. All patients received insulin therapy. The observation group （40 cases） was administered with Astragali Radix Granules， while the control group （40 cases） received a placebo. Both treamtents were taken orally twice daily. Changes in gut microbiota were assessed by 16s rDNA sequencing. Serum glucagon-like peptide-1 （GLP-1） levels were measured using enzyme-linked immunosorbent assay （ELISA）. Glucose metabolism indicators including fasting blood glucose （FPG）， 2-hour postprandial blood glucose （2 h PG），glycated albumin（GA）， and glycated hemoglobin （HbA1c） were evaluated. Pancreatic function was evaluated using fasting C-peptide （FCP）， 2-hour postprandial C-peptide （2 h CP）， and C-peptide area under the curve （AUC_cp）. Traditional Chinese medicine （TCM） syndrome scores， clinical efficacy， and safety indicators were also observed. ResultsIn terms of glucose metabolism indicators， compared with the baseline， both groups exhibited significantly lower FPG， 2 h PG， GA and HbA1C （P<0.01），while FCP， 2 h CP and AUC_cp were significantly higher （P<0.01）. Compared with the control group after the treatment， the observation group showed significantly lower FPG， 2 h PG， GA and HbA1C（P<0.05， P<0.01），and significantly higher FCP， 2 h CP and AUC_cp （P<0.05， P<0.01）， indicating that Astragali Radix can improve glucose metabolism. In terms of the diversity of gut microbiota， no significant differences were detected in the Chao1， Shannon and Simpson indexes of the two groups compared with their respective baselines. However， compared with the post-treatment control group， the observation group demonstrated significant increases in the Chao1， Shannon and Simpson indexes （P<0.05， P<0.01）. The β-diversity analysis showed significant separation in gut microbiota composition before and after treatment in both groups， indicating that Astragali Radix can significantly alter the structure and improve the diversity of gut microbiota. At the phylum level， compared with the baseline， both groups showed a significant increase in the relative abundance of Bacteroidota（P<0.01）. The relative abundance of the potentially harmful phylum Proteobacteria was significantly lower in the observation Group after treatment （P<0.01）. Compared with the post-treatment control group， the observation group had a significantly higher relative abundance of Bacteroidota（P<0.01）. No significant difference was found in Firmicutes/Bacteroidota （F/B） ratio between the two groups after treatment， and other phyla showed no significant differences. At the genus level， compared with the baseline， the observation group exhibited a significant increase in Bacteroides （P<0.01） and a significant decrease in Escherichia-Shigella （P<0.01）， whereas no significant difference was seen in the control group . Compared with the control group after treatment， the observation group after treatment had a significantly higher relative abundance of Bacteroides （P<0.01）. No significant differences were seen in other genera. Linear discriminant analysis （LDA） identified potential characteristics taxa： in the observation group， Bacteroidota at the phylum level and Bacteroides and Dubosiella at the genus level， in the control group， Proteobacteria at the phylum level as well as Barnesiella and Staphylococcus at the genus level. Correlation analysis based on a heatmap revealed that GLP-1 levels were positively correlated with Firmicutes， F/B ratio and Fusobacterium， and negatively correlated with Bacteroidota， Proteobacteria， Bacteroides and Escherichia-Shigella. In terms of clinical efficacy， compared with the control group， the total effective rate of the observation group was significantly higher （P<0.05）. Compared with the baseline， the scores for shortness of breath， fatigue， weakness， spontaneous sweating and reluctance to speak significantly decreased in both groups （P<0.01）. Compared with the control group after treatment， the score for weakness was significantly lower in the observation group （P<0.01），indicating that Astragali Radix could improve clinical symptoms and alleviate weakness symptoms. In terms of safety， compared with the baseline， alanine aminotransferase （ALT） levels significantly decreased in both groups （P<0.05，P<0.01），indicating that Astragali Radix did not induce any significant abnormalities in liver and kidney functions. ConclusionAstragali Radix demonstrates the potential to significantly improve the gut microbiota environment in patients of newly diagnosed type 2 diabetes with Qi deficiency. The therapeutic effect may contribute to glycemic control， possibly mediated by an elevation in GLP-1 level. These findings may support its further clinical investigations and potential applications.

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

Stem cells play a crucial role in maintaining tissue regenerative capacity and homeostasis. However, mechanisms associated with stem cell senescence require further investigation. In this study, we conducted a proteomic analysis of human dental pulp stem cells (HDPSCs) obtained from individuals of various ages. Our findings showed that the expression of NUP62 was decreased in aged HDPSCs. We discovered that NUP62 alleviated senescence-associated phenotypes and enhanced differentiation potential both in vitro and in vivo. Conversely, the knocking down of NUP62 expression aggravated the senescence-associated phenotypes and impaired the proliferation and migration capacity of HDPSCs. Through RNA-sequence and decoding the epigenomic landscapes remodeled induced by NUP62 overexpression, we found that NUP62 helps alleviate senescence in HDPSCs by enhancing the nuclear transport of the transcription factor E2F1. This, in turn, stimulates the transcription of the epigenetic enzyme NSD2. Finally, the overexpression of NUP62 influences the H3K36me2 and H3K36me3 modifications of anti-aging genes (HMGA1, HMGA2, and SIRT6). Our results demonstrated that NUP62 regulates the fate of HDPSCs via NSD2-dependent epigenetic reprogramming.
Humans ; Dental Pulp/cytology* ; Nuclear Pore Complex Proteins/genetics* ; Cellular Senescence/genetics* ; Stem Cells/metabolism* ; Epigenesis, Genetic ; Cell Proliferation ; Cell Differentiation ; Histone-Lysine N-Methyltransferase/metabolism* ; Cells, Cultured ; Cellular Reprogramming ; Cell Movement ; Proteomics

Metabolomics covers a wide range of applications in life sciences, biomedicine, and phytology. Data acquisition (to achieve high coverage and efficiency) and analysis (to pursue good classification) are two key segments involved in metabolomics workflows. Various chemometric approaches utilizing either pattern recognition or machine learning have been employed to separate different groups. However, insufficient feature extraction, inappropriate feature selection, overfitting, or underfitting lead to an insufficient capacity to discriminate plants that are often easily confused. Using two ginseng varieties, namely Panax japonicus (PJ) and Panax japonicus var. major (PJvm), containing the similar ginsenosides, we integrated pseudo-targeted metabolomics and deep neural network (DNN) modeling to achieve accurate species differentiation. A pseudo-targeted metabolomics approach was optimized through data acquisition mode, ion pairs generation, comparison between multiple reaction monitoring (MRM) and scheduled MRM (sMRM), and chromatographic elution gradient. In total, 1980 ion pairs were monitored within 23 min, allowing for the most comprehensive ginseng metabolome analysis. The established DNN model demonstrated excellent classification performance (in terms of accuracy, precision, recall, F1 score, area under the curve, and receiver operating characteristic (ROC)) using the entire metabolome data and feature-selection dataset, exhibiting superior advantages over random forest (RF), support vector machine (SVM), extreme gradient boosting (XGBoost), and multilayer perceptron (MLP). Moreover, DNNs were advantageous for automated feature learning, nonlinear modeling, adaptability, and generalization. This study confirmed practicality of the established strategy for efficient metabolomics data analysis and reliable classification performance even when using small-volume samples. This established approach holds promise for plant metabolomics and is not limited to ginseng.

Computational approaches, encompassing both physics-based and machine learning (ML) methodologies, have gained substantial traction in drug repurposing efforts targeting specific therapeutic entities. The human dopamine (DA) transporter (hDAT) is the primary therapeutic target of numerous psychiatric medications. However, traditional hDAT-targeting drugs, which interact with the primary binding site, encounter significant limitations, including addictive potential and stimulant effects. In this study, we propose an integrated workflow combining virtual screening based on weighted holistic atom localization and entity shape (WHALES) descriptors with in vitro experimental validation to repurpose novel hDAT-targeting drugs. Initially, WHALES descriptors facilitated a similarity search, employing four benztropine-like atypical inhibitors known to bind hDAT's allosteric site as templates. Consequently, from a compound library of 4,921 marketed and clinically tested drugs, we identified 27 candidate atypical inhibitors. Subsequently, ADMETlab was employed to predict the pharmacokinetic and toxicological properties of these candidates, while induced-fit docking (IFD) was performed to estimate their binding affinities. Six compounds were selected for in vitro assessments of neurotransmitter reuptake inhibitory activities. Among these, three exhibited significant inhibitory potency, with half maximal inhibitory concentration (IC₅₀) values of 0.753 μM, 0.542 μM, and 1.210 μM, respectively. Finally, molecular dynamics (MD) simulations and end-point binding free energy analyses were conducted to elucidate and confirm the inhibitory mechanisms of the repurposed drugs against hDAT in its inward-open conformation. In conclusion, our study not only identifies promising active compounds as potential atypical inhibitors for novel therapeutic drug development targeting hDAT but also validates the effectiveness of our integrated computational and experimental workflow for drug repurposing.

Objective: To evaluate the implementation of vaccination certificate verification in Guizhou Province from 2020 to 2022, so as to provide reference for improving the efficiency of vaccination certificate verification and vaccine re inoculation work. Methods: Data was drawn from the 2020-2022 report on the verification of vaccination certificates for children entering daycare and enrollment in various cities and prefectures in Guizhou Province. In July, 2021, Guizhou Province began to implement a new inspection scheme with close cooperation between health and education departments, moving forward the gateway, parents using "Guizhou CDC" WeChat official account for self inspection, and a long term supervision and assessment mechanism. A comparative analysis was conducted on the evaluation of vaccination certificate verification rate, vaccination certificate holding rate, full revaccination rate of the National Immunization Program (NIP) for children and full vaccination rate of the NIP vaccine before(2020) and after(2021 and 2022) the implementation of the new plan. Chi square test was used for statistical analysis. Results: The rate of vaccination certificate verification of children enrolled in kindergarten and primary school in Guizhou Province increased from 99.85% in 2020 to 100% in 2022, the rate of holding certificate increased from 99.55% in 2020 to 99.91% in 2022, the rate of full vaccination NIP vaccines for kindergarten and primary school entry increased from 78.95% in 2020 to 96.59% in 2022, and the rate of full revaccination increased from 42.40% in 2020 to 79.19% in 2022 ( χ 2=2 203.19, 3 651.67, 291 896.31, 103 938.76, P < 0.01 ). Conclusions From 2020 to 2022, the rates of full vaccination and the full revaccination for NIP vaccine among children entering kindergarten in Guizhou Province have increased year by year. Each region should fully utilize the achievements of immunization planning informatization construction to establish effective inspection work ideas, and ensure that eligible children complete the full vaccination process of the national immunization plan vaccine.

In order to solve the problems that the universal screwdriver of loaner medical instruments cannot be disassembled during cleaning and the backwash rate,the structure of the universal screw driver for loaner medical instruments was improved.By removing the protrusion at the end of the of the screwdriver,the inner core and outer sheath of the screwdriver could be separated,enabling the screwdriver to be disassembled for cleaning.The cleaning pass rate of the universal screwdriver with improved structure was significantly higher than that of the control group,the difference was statistically significant(x2=529.343,P<0.001).The improved structure of the universal screwdriver can effectively improve the cleaning quality of the universal screwdriver and ensure the safety of the patient's surgery.

Objective:To compare the differences of clinical characteristics of temporal lobe epilepsy with bilateral hippocampal sclerosis (TLE-bHS) with those of temporal lobe epilepsy with unilateral hippocampal sclerosis (TLE-uHS).Methods:A retrospective analysis was performed. Forty-eight patients with confirmed TLE-bHS enrolled in Epilepsy Center, Department of Neurology, Second Affiliated Hospital, Medical School of Zhejiang University from January 2013 to January 2022 were chosen, and 101 patients with confirmed TLE-uHS admitted to our hospital at the same time period were selected as controls. Clinical data such as onset age, disease course, past medical history, seizure frequency, anti-seizure medications, video EEG and neuropsychological test results, and outcomes were analyzed.Results:Compared with the TLE-uHS group, the TLE-bHS group had higher male proportion, elder onset age, shorter disease course, higher seizure frequency, more types of past and currently used anti-seizure medications, lower proportion of autonomic nerve with aura, higher proportion of no aura at onset, higher proportion of slow head background movement in video EEG, and lower memory quotient, verbal memory scores and non-verbal memory scores, with significant differences ( P<0.05); the differences in ratio of past medical history and ratio of distributions of regions with interictal epileptiform abnormalities between the 2 groups were statistically significant ( P<0.05): the TLE-bHS group had significantly higher proportion of previous intracranial infection/encephalitis and higher ratio of bilateral temporal epileptiform abnormalities than the TLE-uHS group, while the TLE-uHS group had significantly higher proportion of patients with febrile convulsion history and higher ratio of unilateral temporal epileptiform abnormalities ( P<0.05). Only 10 patients (20.8%) in the TLE-bHS group received non-drug therapy, including anterior temporal lobectomy in 3 patients (Engel grading I in postoperative follow-up for 2 years), neuroregulatory therapy in 4, and ketogenic diet in 4; of the 55 patients (54.5%) in the TLE-uHS group who underwent anterior temporal lobectomy, 48 patients (87.3%) had Engel grading I, 1 patient (1.8%) had grading II, 4 (7.3%) had grading III, and 2 (3.6%) had grading IV after 2 years of follow-up. Conclusion:Differences in onset age, disease course, past medical history, seizure frequency, anti-seizure medications, and video EEG and neuropsychological test results can help to discriminate patients with TLE-bHS or with TLE-uHS.

Rheumatoid arthritis (RA) and myasthenia gravis (MG) are two distinct autoimmune diseases. Compared with the general population, the incidence of RA is notably higher among patients with MG. Similarly, the rate of MG in patients diagnosed with RA is also significantly increased. In this report, we presented an elderly female patient with a history usage of long-term glucocorticoid and conventional synthetic disease-modifying antirheumatic drugs (csDMARDs), whose RA symptoms remained inadequately controlled. She later exhibited drooping of the right eyelid and double vision, leading to a diagnosis of ocular myasthenia gravis (OMG). Then, we made a literature review and found that the RA patients with co-existing MG were relatively more common in middle-aged and elderly women, and most of them did not have thymoma. Thymoma wasn ' t found in our patient, which was consistent with the cli-nical characteristics of RA complicated with MG reported in previous reports. In addition, there was li-mited treatment experience in patients with both RA and MG. The treatment stratergies for RA or MG included glucocorticoids and immunosuppressants. Among the 18 patients we analyzed, 8 patients expe-rienced relief after csDMARDs, while other 8 patients received biologics or targeted DMARDs, including tumor necrosis factor inhibitors (TNFi) in 5 cases, JAK inhibitors in 2 cases, and B-cell depletion therapy (rituximab) in 2 cases. What called for special attention was that one RA patient was diagnosed with MG after using 23 months of methotrexate and 6 weeks of etanercept (TNFi), with rituximab 1 000 mg for the first time, followed by 500 mg every 6 months, and finally both RA and MG were well controlled. For the patient in this study, MG symptoms improved with increased dosage of prednisone. In order to tapper the dose of glucocorticoid, it was necessary for more potent immunosuppressant for both RA and MG. Given her history of cardiac conditions, JAK inhibitors were not considered, and due to the uncertain efficacy of TNFi, we chose to administer low-dose rituximab (100 mg). Subsequent follow-up revealed stable conditions for both RA and MG, allowing for discontinuance of glucocorticoid after 5 months. It reflected the potential efficacy and cost-effectiveness of low-dose, long-interval rituximab in treating RA patients combined with MG, while it also minimized infection risks. However, the duration for subsequent infusions remained uncertain and required further observation. In conclusion, RA combined with MG is rare. For patients exhibiting poor responses to csDMARDs, low-dose, long-interval rituximab might be a promising treatment option.
Humans ; Arthritis, Rheumatoid/drug therapy* ; Rituximab/administration & dosage* ; Myasthenia Gravis/drug therapy* ; Female ; Antirheumatic Agents/administration & dosage* ; Aged ; Glucocorticoids/therapeutic use*

{L-End}Objective To analyze the current status of occupational stress and its influencing factors among workers in pharmaceutical enterprises in Beijing City. {L-End}Methods A total of 860 employees from six pharmaceutical enterprises in Beijing City were selected as the research subjects using convenience sampling method. The Chinese version of the New Brief Job Stress Questionnaire was used to evaluate the occupational stress, and multiple linear regression analysis was used to analyze the influencing factors of occupational stress. {L-End}Results The detection rate of high occupational stress was 1.40% (12/860). The results of multiple linear regression analysis showed that the workers with higher education level and longer length of service had a higher risk of high occupational stress (all P<0.01). Workers who were satisfied with their jobs had a lower risk of high occupational stress than those who were unsatisfied with their jobs (P<0.01). Workers who were satisfied with life had a significantly lower risk of high occupational stress than those who were unsatisfied with life (P<0.01). {L-End}Conclusion The detection rate of high occupational stress in workers of pharmaceutical enterprises is relatively low. Occupational stress is mainly affected by individual factors such as education level and length of service, and work and life satisfaction. Improving job and life satisfaction is helpful to reduce occupational stress level.