Five saponins were isolated from the kernels of Momordica cochinchinensis, by macroporous resin, silica gel, ODS column chromatography, and semi preparative HPLC. Based on MS and NMR analysis, combining with alkaline hydrolysis and acid hydrolysis, their structures were identified as: gypsogenin-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (1), quillaic acid-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (2), gypsogenin-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (3), quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (4), 18α-quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside (5). Compounds 1-5 were new compounds, and named as mubezhisides A, B, C, D, E, respectively. They all could obviously inhibited the growth of Candida albicans, C. parapsilosis, and C. tropicalis.

ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

Traditional Chinese medicine(TCM), with diverse structural types of active components and remarkable clinical efficacy, holds a significant position in the pharmacological research. As the key substances, active components of TCM are of great importance in revealing the material basis of TCM efficacy and mechanism of action. However, the conventional approaches of discovering active components in TCM are characterized by tedious procedures, lengthy cycles, and unclear mechanisms, which struggle to meet the current demands for drug development. In recent years, major breakthroughs have been made in target discovery technologies, and new drug targets are constantly being discovered, which has facilitated the development of target-driven approaches. The target-guided active component discovery strategy provides a new paradigm for discovering active components in TCM. This article systematically summarizes two mainstream target-based technologies-virtual screening and ligand fishing-for TCM active component discovery. By analyzing relevant application cases, this article evaluates the strengths and limitations of each technology. The review aims to provide frameworks for expediting bioactive component discovery in complex systems like TCM, so as to accelerate the development of innovative drugs based on the active components of TCM and promote the modernization and internationalization of TCM.
Drugs, Chinese Herbal/pharmacology* ; Humans ; Medicine, Chinese Traditional ; Drug Discovery/methods* ; Animals

OBJECTIVE: To evaluate precise assessment methods for predicting the optimal acetabular cup size in total hip arthroplasty (THA). METHODS: A clinical data of 73 patients (80 hips) who underwent primary THA between December 2022 and July 2024 and met the inclusion criteria was analyzed. There were 39 males and 34 females with an average age of 66.3 years (range, 56-78 years). Among them, 66 cases were unilateral THA and 7 were bilateral THAs. There were 29 patients (34 hips) of osteoarthritis, 35 patients (35 hips) of femoral neck fractures, and 9 patients (11 hips) of osteonecrosis of the femoral head. Based on anteroposterior pelvic X-ray films, three methods were employed to predict acetabular cup size, including preoperative template planning, radiographic femoral head diameter (FHD) measurement, and intraoperative FHD measurement. The predicted acetabular cup sizes from these methods were compared with the actual implanted sizes. RESULTS: The predicted acetabular cup sizes using the preoperative template planning, radiographic FHD measurement, and intraoperative FHD measurement were (51.25±2.81), (49.72±3.11), and (49.90±2.74) mm, respectively, compared to the actual implanted cup size of (50.57±2.74) mm, with no significant difference ( P>0.05). Regarding agreement with the actual implanted cup size, the preoperative template planning achieved exact matches in 35 hips (43.75%), one-size deviation in 41 hips (51.25%), and two-size deviations in 4 hips (5%); the radiographic FHD measurement achieved exact matches in 12 hips (15%), one-size deviation in 57 hips (71.25%), and two-size deviations in 11 hips (13.75%); and the intraoperative FHD measurement achieved exact matches in 26 hips (32.5%), one-size deviation in 52 hips (65%), and two-size deviations in 2 hips (2.5%). There were significant differences in agreement distributions between the three methods and the actual implanted cup sizes ( H=18.579, P<0.001). CONCLUSION The intraoperative FHD measurement, as a simple, cost-effective, and accurate method, effectively guides acetabular cup selection, reduces the risk of prosthesis wear, enhances postoperative joint stability.
Humans ; Arthroplasty, Replacement, Hip/instrumentation* ; Male ; Female ; Middle Aged ; Acetabulum/diagnostic imaging* ; Aged ; Hip Prosthesis ; Prosthesis Design ; Femur Head/surgery* ; Osteoarthritis, Hip/surgery* ; Radiography ; Femoral Neck Fractures/surgery* ; Femur Head Necrosis/surgery*

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*

OBJECTIVE: To analyze the positive rate and distribution of anti-M unexpected antibody in pediatric inpatients aged 0 to 14 years in central China. METHODS: A total of 30 049 pediatric inpatients admitted to the Second Xiangya Hospital of Central South University, Wuhan Children's Hospital and Children's Hospital Affiliated of Zhengzhou University from May 2020 to August 2022 were enrolled in this study, and relevant clinical data were collected. Blood samples from the patients were tested for blood typing and screened for unexpected antibodies. For samples that screened positive for unexpected antibodies, identification was conducted using the identification panel to determine the specificity of the antibodies. The distribution and differences of anti-M antibodies in pediatric patients of different sexes, ages, blood groups, disease types, with or without a history of blood transfusion, and across different regions were analyzed. RESULTS: Among 30 049 inpatients, the positive rate of unexpected antibodies was 0.91% (273/30 049), of which the positive rate of anti-M antibodies was 0.44% (131/30 049). The positive rate of anti-M antibodies in the neonates aged 0 to < 1 month was 0.10% (5/4 881), and all of them were IgG antibodies from their mothers; The positive rate of anti-M antibodies for the group aged from 1 month to < 1 year old was 0.23% (7/3 108), with no anti-M antibodies detected in patients aged 1-6 months; The positive rates of anti-M antibodies in the 1-4 years old group, 5-9 years old group, and 10-14 years old group were 0.87% (88/10 064), 0.38% (27/7 190), and 0.08% (4/4 806), respectively. The positive rate of anti-M antibodies in the 1-4 years old group was significantly higher than that of the other groups ( P <0.001), and there were also statistical differences in the positive rate between the 5-9 years old group and the 0-< 1 month and 10-14 years old groups ( P <0.001). The prevalences of anti-M antibodies in ABO blood group A, B, O and AB were 0.32% (30/9 482), 0.70% (58/8 293), 0.32% (31/9 595) and 0.45% (12/2 679), respectively. The prevalence of anti-M antibodies in patients with blood group B was significantly higher than that in patients with blood groups A and O ( P <0.05). The prevalences of anti-M antibodies in Hunan, Hubei and Henan was 0.18%, 0.32% and 0.71%, respectively. The prevalence of anti-M antibodies in Henan was significantly higher than that in Hunan and Hubei ( P <0.05), and the distribution showed obvious regional differences between the north and the south. There were no significant differences in the positive rate of anti-M antibodies between the children with different sexes, disease types, and with or without a history of blood transfusion (P >0.05). CONCLUSION This study reveals the distribution pattern of anti-M antibodies in pediatric inpatients aged 0-14 years in central China, which has reference value for the research on unexpected red blood cell antibodies in Chinese children.
Humans ; Child ; China ; Infant ; Child, Preschool ; Adolescent ; Female ; Male ; Inpatients ; Infant, Newborn ; Blood Grouping and Crossmatching ; Antibodies/blood*

BACKGROUND: Blood glucose and serum albumin have been associated with cardiovascular disease prognosis, but the impact of admission-blood-glucose-to-albumin ratio (AAR) on adverse outcomes in critical ill coronary artery disease (CAD) patients was not investigated. METHODS: Patients diagnosed with CAD were non-consecutively selected from the MIMIC-IV database and categorized into quartiles based on their AAR. The primary outcome was 1-year mortality, and secondary endpoints were in-hospital mortality, acute kidney injury (AKI), and renal replacement therapy (RRT). A restricted cubic splines model and Cox proportional hazard models assessed the association between AAR and adverse outcomes in CAD patients. Kaplan-Meier survival analysis determined differences in endpoints across subgroups. RESULTS: A total of 8360 patients were included. There were 726 patients (8.7%) died in the hospital and 1944 patients (23%) died at 1 year. The incidence of AKI and RRT was 63% and 4.3%, respectively. High AAR was markedly associated with in-hospital mortality (HR = 1.587, P = 0.003), 1-year mortality (HR = 1.502, P < 0.001), AKI incidence (HR = 1.579, P < 0.001), and RRT (HR = 1.640, P < 0.016) in CAD patients in the completely adjusted Cox proportional hazard model. Kaplan-Meier survival analysis noted substantial differences in all endpoints based on AAR quartiles. Stratified analysis and interaction test demonstrated stable correlations between AAR and outcomes. CONCLUSIONS The results highlight that AAR may be a potential indicator for assessing in-hospital mortality, 1-year mortality, and adverse renal prognosis in critical CAD patients.

OBJECTIVES: To explore the therapeutic mechanism of Flos Sophorae (FS) for treatment of psoriasis. METHODS: The active ingredients, targets and psoriasis-related disease targets of FS were obtained from TCMSP, GeneCards, OMIM, DisGeNET and String databases, and Cytoscape 3.8.0 software was used to construct the "FS -active ingredient-key target-signaling pathway-psoriasis" network. GO and KEGG enrichment analyses of the key targets were conducted, and molecular docking was performed using Discovery Studio 2019. In a BALB/c mouse model of imiquimod-induced psoriasis, the effects of vaseline, FS at high, medium and low doses (3.00, 1.50 and 0.75 g/kg, respectively) and a positive drug, given 1 week before and during modeling, were evaluated on body weight changes, spleen coefficient, psoriasis area and severity index (PASI) score and skin pathological changes. Phosphorylation levels of PI3K and AKT proteins were detected using immunohistochemistry and Western blotting. RESULTS: A total of 10 active components and 110 key targets were screened. GO and KEGG pathway enrichment analysis suggested that FS improved psoriasis primarily through the PI3K/AKT, TNF, and IL-17 signaling pathways. Molecular docking showed that both quercetin and kaempferol could spontaneously bind to AKT1, TNF and other sites. In the mouse model of psoriasis, treatment with low-dose FS significantly improved epidermal thickening, increased body weight, lowered PASI score, and reduced phosphorylation levels of PI3K and AKT proteins. CONCLUSIONS The therapeutic mechanism of FS for psoriasis involves multiple components, targets, and pathways that mediate the inhibition of the phosphorylation levels of PI3K and AKT proteins to suppress the activation of the PI3K/AKT signaling pathway.
Animals ; Psoriasis/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Mice ; Signal Transduction/drug effects* ; Mice, Inbred BALB C ; Phosphatidylinositol 3-Kinases/metabolism* ; Molecular Docking Simulation ; Disease Models, Animal ; Drugs, Chinese Herbal/therapeutic use* ; Imiquimod ; Phosphorylation