Researchers commonly use cyclization recombination enzyme/locus of X-over P1 (Cre/loxP) technology-based conditional gene knockouts of model mice to investigate the functional roles of genes of interest in Sertoli and Leydig cells within the testis. However, the shortcomings of these genetic tools include high costs, lengthy experimental periods, and limited accessibility for researchers. Therefore, exploring alternative gene silencing techniques is of great practical value. In this study, we employed adeno-associated virus (AAV) as a vector for gene silencing in Sertoli and Leydig cells. Our findings demonstrated that AAV serotypes 1, 8, and 9 exhibited high infection efficiency in both types of testis cells. Importantly, we discovered that all three AAV serotypes exhibited exquisite specificity in targeting Sertoli cells via tubular injection while demonstrating remarkable selectivity in targeting Leydig cells via interstitial injection. We achieved cell-specific knockouts of the steroidogenic acute regulatory ( Star ) and luteinizing hormone/human chorionic gonadotropin receptor (Lhcgr) genes in Leydig cells, but not in Sertoli cells, using AAV9-single guide RNA (sgRNA)-mediated gene editing in Rosa26-LSL-Cas9 mice. Knockdown of androgen receptor ( Ar ) gene expression in Sertoli cells of wild-type mice was achieved via tubular injection of AAV9-short hairpin RNA (shRNA)-mediated targeting. Our findings offer technical approaches for investigating gene function in Sertoli and Leydig cells through AAV9-mediated gene silencing.
Animals ; Male ; Leydig Cells/metabolism* ; Mice ; Dependovirus/genetics* ; Sertoli Cells/metabolism* ; Gene Silencing ; Genetic Vectors ; Testis/cytology*

In the field of dental aesthetics,digital aesthetic design plays a crucial role in helping dentists to predict treatment outcomes vis-ually,as well as in enhancing the consistency of knowledge and understanding of aesthetic goals between dentists and patients.It serves as the foundation for achieving ideal aesthetic effects.However,there is no clear standard for this digital process currently in China and abroad.Many dentists lack of systematic understanding of how to carry out digital aesthetic design for treatment.To establish standardized processes for dental aesthetic design and to improve the homogeneity of treatment outcomes,Chinese Society of Digital Dental Industry(CSD-DI)convened domestic experts in related field to compile this consensus.This article elaborates on the key aspects of digital aesthetic data collection,integration steps,and the digital aesthetic design process.It also formulates a decision tree for dental aesthetics at macro level and outlines corresponding workflows for various clinical scenarios,serving as a reference for clinicians.

Endometriosis is a common chronic gynecological disease with endometrial cell implantation outside the uterus.Angiogenesis is a major pathophysiology in endometriosis.Our previous studies have demon-strated that the prodrug of epigallocatechin gallate(ProEGCG)exhibits superior anti-endometriotic and anti-angiogenic effects compared to epigallocatechin gallate(EGCG).However,their direct binding targets and underlying mechanisms for the differential effects remain unknown.In this study,we demonstrated that oral ProEGCG can be effective in preventing and treating endometriosis.Additionally,1D and 2D Proteome Integral Solubility Alteration assay-based chemical proteomics identified metadherin(MTDH)and PX domain containing serine/threonine kinase-like(PXK)as novel binding targets of EGCG and ProEGCG,respectively.Computational simulation and BioLayer interferometry were used to confirm their binding affinity.Our results showed that MTDH-EGCG inhibited protein kinase B(Akt)-mediated angiogenesis,while PXK-ProEGCG inhibited epidermal growth factor(EGF)-mediated angiogenesis via the EGF/hypoxia-inducible factor(HIF-1a)/vascular endothelial growth factor(VEGF)pathway.In vitro and in vivo knockdown assays and microvascular network imaging further confirmed the involvement of these signaling pathways.Moreover,our study demonstrated that ProEGCG has superior therapeutic effects than EGCG by targeting distinct signal transduction pathways and may act as a novel anti-angiogenic therapy for endometriosis.

Humans ; Nasal Cavity ; Melanoma ; Skin Neoplasms ; Paranasal Sinuses

ObjectiveTo establish a quantitative analysis multi-components by single marker method （QAMS） for five main components （aucubin， geniposidic acid， chlorogenic acid， asperuloside and rutin） in Eucommiae Folium， to verify its feasibility and applicability in the determination of Eucommiae Folium， so as to provide a scientific basis for the development of quality standard of this herb. MethodHigh performance liquid chromatography was performed on a Welch Boltmatetm™ C₁₈ column （4.6 mm×100 mm， 2.7 μm） with methanol （A）-0.2% phosphoric acid aqueous solution （B） as the mobile phase for gradient elution （0-8 min， 3%A； 8-10 min， 3%-11%A； 10-26 min， 11%A； 26-27 min， 11%-25%A； 27-60 min， 25%-32%A）， the column temperature was set at 30 ℃， the flow rate was 0.6 mL·min^-1， the detection wavelengths were at 210 nm and 254 nm. Chlorogenic acid was used as an internal reference to establish the relative correction factors （f） between it and the other four components， and the contents of the five components in 14 batches of Eucommiae Folium were determined by QAMS and external standard method （ESM）， respectively. ResultThe f values of chlorogenic acid to aucubin， geniposidic acid， asperuloside and rutin were 3.13， 1.45， 2.64 and 0.56， respectively. Repeatability was good under different experimental conditions， relative standard deviation （RSD） was <5.0%. The contents of aucubin， geniposidic acid， chlorogenic acid， asperuloside and rutin in 14 batches of Eucommiae Folium were 1.340-28.975， 0.252-36.086， 10.016-27.443， 1.396-8.646， 0.533-1.766 mg·g^-1， respectively. There were no significant difference between content results of QAMS and that of ESM （RSD<5.0%）. ConclusionQAMS established with chlorogenic acid as the internal reference can be used to determine the contents of five components in Eucommiae Folium， and this method is simple and accurate. After comprehensive evaluation， the quality standard of Eucommiae Folium in subsequent editions of Chinese Pharmacopoeia is suggested that three main active components， chlorogenic acid， aucubin and geniposidic acid， are selected as quality markers， and their content limits are recommended not less than 1.5%， 1.0% and 1.0%， respectively. This quality standard draft can avoid the potential quality risk due to poor specificity and low content limit of the index component （chlorogenic acid） in the previous editions of Chinese Pharmacopoeia.

Humans ; Kounis Syndrome/complications* ; Takotsubo Cardiomyopathy/complications*

Objective: To estimate the prevalence, awareness, treatment and control rate of hypertension among young and middle-aged population in China. Methods: The analysis was based on the results of 2012-2015 China Hypertension Survey, which was a cross-sectional stratified multistage random sampling survey. A total of 229 593 subjects were included in the final analysis. The data including sex, age, living in urban and rural areas, prevalence of hypertension, history of stroke, family history of coronary heart disease and drinking, physical examination, heart rate were collected. Hypertension was defined as mean systolic blood pressure (SBP) ≥140 mmHg (1 mmHg=0.133 kPa), and (or) diastolic blood pressure (DBP) ≥90 mmHg, and (or) self-report a history of hypertension, and (or) use of antihypertensive medicine within 2 weeks before survey. Prehypertension was defined as SBP between 120-139 mmHg, and (or) DBP between 80-89 mmHg. Control of hypertension was considered for hypertensive individuals with SBP<140 mmHg and DBP<90 mmHg. The prevalence of prehypertension, hypertension, awareness, treatment, control rate were calculated, and the control rate among those with antihypertensive medication was also calculated. Results: The prevalence of prehypertension and hypertension was 43.8% (95%CI: 42.3%-45.4%), and 22.1% (95%CI: 20.8%-23.3%), respectively. The prevalence of prehypertension and hypertension was significantly higher among male than female across different age groups. The awareness, treatment, control rate of hypertension and control rate among treated hypertensive participants were 43.8%, 33.2%, 16.7%, and 40.2%, respectively. The prevalence was higher, and the control rate was lower among individuals with higher heart rate. Conclusion: The prevalence of prehypertension and hypertension among young and middle-aged population is high, the awareness, treatment and control rate need to be further improved in this population. The prevention and treatment of hypertension should be strengthened in the future to improve the control rate of hypertension in China.
Middle Aged ; Male ; Female ; Humans ; Antihypertensive Agents/therapeutic use* ; Prehypertension/epidemiology* ; Prevalence ; Cross-Sectional Studies ; Hypertension/drug therapy* ; Blood Pressure ; China/epidemiology*

Aim To investigate the effect of Li-Zhong-Tang (LZT) in the treatment of gastric ulcer (GU) with pattern of spleen-stomach vacuity cold in rats based on Raf/MEK/ERK signaling pathway and the underlying molecular mechanism. Methods SD rats were randomly divided into normal group, GU model group, esomeprazole (ESO) group, LZT low dose and high dose groups. The morphological changes of gastric mucosa were observed by naked eyes and HE staining. The activities of gastric acid and pepsin were measured. The contents of prostaglandin E

Objective:To analyze the distribution of clinically isolated fungal strains and their resistance to common antifungal drugs in Shandong province.Methods:Through the Shandong Children’s Bacterial & Fungal Drug Resistance Surveillance and Research Collaborative Network, a total of 1 030 fungi were collected in 46 hospitals of Shandong province from January 1 to December 31, 2018. The source and type of strains were analyzed, and antifungal drug sensitivity tests were performed by using the micro-dilution method. Whonet 5.6 and SPSS 22.0 were applied to analyze the data.Results:The overall main strains were Candida albicans (38.74%, 399/1 030), Candida tropicalis (16.99%, 175/1 030) and Candida parapsilosis (16.41%, 169/1 030); the main fungi strains in child patients were C. albicans (52.50%, 63/120), C. parapsilosis (12.50%, 15/120) and C. tropicalis (9.17%, 11/120); the main fungi strains in adult patients were C. albicans (36.37%, 331/910), C. tropicalis (17.03%, 155/910) and C. parapsilosis (15.27%, 139/910). The isolation rate of main Candida strains from January to March and August to December was much higher than that of other months. The drug resistance rates of C. albicans to fluconazole and voriconazole were 7.14% and 7.43%, respectively, and the drug resistance rates to itraconazole were 50.44%. The resistance rates of C. tropicalis to fluconazole, voriconazole and itraconazole were 29.05%, 23.29% and 48.65%, respectively. The sensitivity rates of C. parapsilosi to fluconazole, voriconazole and itraconazole were 93.06%, 93.75% and 94.44%, respectively. Candida glabrata showed a dose-dependent sensitivity rate of 2.33% to fluconazole. Analysis of 244 blood fungi strains showed that non-candida albicans bacteremia accounted for 70.08%. In the pathogen spectrum covering 92.22%, fluconazole was sensitive to 64.65% of the pathogens, voriconazole was 68.88%, and amphotericin B was 88.75%. After quantification, the effective rates of fluconazole, voriconazole and amphotericin B in the clinical treatment of fungal bacteremia were 70.10%, 74.69% and 96.23%, respectively. Among them, the sensitivity rate of voriconazole to C. tropicalis was lower than that of fluconazole. Conclusions:Candida is the main clinical fungus isolates in hospitals of Shandong province. The resistance rate of C. tropicalis to azole antifungal drugs is on the rise, and the sensitivity of other Candida species to clinically used antifungal drugs is basically stable.

BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images. METHODS: Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists. RESULTS: The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%). CONCLUSIONS: The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists. TRIAL REGISTRATION Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve ; Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; China ; Deep Learning ; Humans ; ROC Curve ; Sensitivity and Specificity