ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Objective To evaluate the efficacy of Puerariae lobatae radix （PLR） and Anemarrhenae Rhizoma （AR） in preventing and treating Alzheimer’s disease （AD） and explore its potential mechanism of action by LC-MS serum metabolomics strategy. Methods The AD rat model was established by administering aluminum chloride （AlCl₃） and D-galactose （D-gal） for 20 weeks. The traditional Chinese medicine intervention group was given the PLR, AR, and PLR-AR extracts for 8 weeks by gavage. The model effect and efficacy were evaluated by Morris water maze test and biochemical indicators including SOD, NO, and MDA; Metabolomics research based on the UHPLC-Q/TOF-MS method was conducted, and relevant metabolic pathways were analyzed through the MetaboAnalyst online website. Results The learning and memory abilities of AD model rats were significantly decreased compared with the control group, and the levels of oxidative stress and lipid peroxides were significantly increased （P<0.05）, while the SOD content was decreased considerably （P<0.01）. The learning and memory abilities of AD model rats were improved, oxidative stress and lipid peroxidation levels were reversed, and serum SOD content was increased significantly after the intervention of PLR-AR, with better effects than single drugs. Through metabolomics, 70 differential metabolites were identified between the AD model group and the control group, mainly involving 10 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism, and unsaturated fatty acid biosynthesis, et.al. The intervention of PLR-AR could adjust 47 metabolites, with 20 metabolites showing significant differences （P<0.05）. The significantly adjusted metabolites involve 6 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, et al. Conclusion The combination of PLR and AR could significantly improve the learning and memory abilities of AD rat models. The mechanism may be related to the improvement of oxidative stress and lipid peroxidation levels, the increase of serum SOD content, and the regulation of phenylalanine, tyrosine, and tryptophan biosynthesis pathways.

Objective To construct a glioma microfluidic chip model to simulate tumor microenvironment for evaluating the medicinal efficacy of anti-glioma traditional Chinese medicines. Methods Glioblastoma cells U251 were seeded into microfluidic chips with different culture modes, and the cell viability and tumour microenvironment within the constructed model were characterized. Fluorescence staining was used to evaluate the effects of the positive drugs temozolomide （TMZ） and docetaxel （DOC） on the cell activity and apoptosis within the model, which was applied to evaluate the medicinal efficacy of the extracts of the herb Scutellaria barbata on gliomas. Results The cells in the constructed U251 microfluidic chip model displayed high viability and were able to mimic the hypoxic microenvironment of tumor to a certain extent. The viability of the U251 cells in the microfluidic chips decreased with the increasing of the concentration of the positive drug, and the viability of the 3D cultured U251 cells was higher than that in the 2D condition （P<0.05）. The intracellular mitochondrial membrane potential decreased with the increasing of the concentration of the positive drug. And the 2 mg/ml Scutellaria barbata extract killed U251 cells to a certain extent and reduced the mitochondrial membrane potential of the cells in the model. Conclusion This study successfully constructed a microfluidic chip model of glioma that could effectively simulate the tumor microenvironment and rapidly evaluate the anti-tumor medicinal efficacy, which provided a new strategy for the medicinal efficacy evaluation and active components screening of anti-glioma traditional Chinese medicines.

ObjectiveTo describe the characteristics of the nasopharyngeal microbiota in children under 5 years of age in Haidong City, Qinghai Province and analyze its associated factors, so as to provide basic data for the evolution and development of nasopharyngeal microbiota in children. MethodsA total of 230 community children from Haidong City, Qinghai Province were included in the study. Participants’ basic information was collected by local volunteers from parents/guardians at enrollment. 16S rDNA sequencing was used to identify the bacterial diversity and abundance of nasopharyngeal microbial community. Bioinformatics methods were used to analyze the characteristics of the nasopharyngeal microbiota, compare the differential species, and investigate the correlation with age. ResultsThere was no statistical difference in either Chao1 index or Shannon index of nasopharyngeal microbial communities among children with different ages (P>0.05). Besides, the structure of nasopharyngeal microbiota in children of different ages was different, either (P=0.020). Age, ethnicity and delivery mode, to some extent, could explain the differences in the structure of nasopharyngeal microbiota in children. There were statistically significant differences in the abundance of Dolosigranulum, Staphylococcus and Corynebacterium in the nasopharyngeal microbiota of children with different ages (P<0.05). Differential analysis revealed that Corynebacterium was found to be over-represented in children under 1 year of age, while Dolosigranulum was found to be over-represented in children between 2 and 3 years old. Furthermore, the results of correlation analysis showed that, Moraxella was positively correlated with Corynebacterium, Dolosigranulum and Streptococcus, but negatively correlated with Pseudomonas. In addition, a strong positive correlation was detected between the Dolosigranulum and Corynebacterium. ConclusionThe diversity of nasopharyngeal microbial community among children under 5 years in Haidong City, Qinghai Province is stable. However, there are differences in the species structure, mainly in the abundance difference of Dolosigranulum, Staphylococcus and Corynebacterium. This study provides basic data on the evolution and maturation of nasopharyngeal microbial communities in early childhood, which can provide a scientific basis for the early prevention and diagnosis of respiratory tract infections in children.

Objective: To evaluate the incidence, treatment, and survival outcomes of Swyer syndrome with gonadal non-dysgerminoma malignant germ cell tumor (MGCT-NDG). Methods: A retrospective study was performed on Swyer syndrome patients with MGCT-NDG between January 2011 and December 2022 in Peking Union Medical College Hospital to investigate their characteristics and outcomes. Results: A total of 15 patients (4.9%, 15/307) with Swyer syndrome were identified in 307 MGCT-NDG patients. The average age at diagnosis of MGCT-NDG and Swyer syndrome were (16.8±6.7) and (16.7±6.6) years, respectively. Six cases were preoperatively diagnosed as Swyer syndrome, of which 4 cases received bilateral gonadectomy with or without hysterectomy, while the other 2 cases underwent removal of gonadal tumor and unilateral gonadectomy with hysterectomy, respectively. Of the 9 patients postoperatively diagnosed as Swyer syndrome, unilateral gonadectomy, removal of gonadal tumor, and unilateral gonadectomy with hysterectomy were performed in 6 patients, 2 patients, and 1 patient, respectively. Mixed malignant germ cell tumor (MGCT;10 cases), yolk sac tumor (4 cases), and immature teratoma (1 case) were the pathological subtypes, in the descending order. There were International Federation of Gynecology and Obstetrics (FIGO) stage Ⅰ in 6 cases, stage Ⅱ in 3 cases, stage Ⅲ in 5 cases, and stage Ⅳ in 1 case, respectively. Eleven patients received reoperation for residual gonadectomy after a average delay of (7.9±6.2) months, including 8 MGCT-NDG patients and 1 gonadoblastoma patient, no tumor involved was seen in the remaining gonads in the other 2 cases. Ten patients experienced at least one recurrence, with a median event free survival of 9 months (5, 30 months), of which 2 patients received surgery only at the time of initial treatment. All patients with recurrence received surgery and combined with postoperative chemotherapy. After a median follow-up of 25 months (15, 42 months), 10 patients were disease-free, 3 patients died of the tumor, 1 died of side effects of leukemia chemotherapy, and 1 survived with disease. Conclusion: The incidence rate of Swyer syndrome in patients with MGCT-NDG is about 4.9%; timely diagnosis and bilateral gonadectomy should be emphasized to reduce the risk of reoperation and second carcinogenesis in this population.
Female ; Humans ; Retrospective Studies ; Gonadal Dysgenesis, 46,XY/surgery* ; Gonadoblastoma/surgery* ; Neoplasms, Germ Cell and Embryonal/surgery* ; Ovarian Neoplasms/pathology*

Objective: To analyze the correlation between preschool children s emotional competence and home rearing environment in Shangrao City, so as to provide support for improving children s emotional competence development as well as their home rearing environment. Methods: A total of 1 242 children aged 3-6 years old from 10 kindergartens in Shangrao City were retrospectively investigated by stratified cluster random sampling method in December 2022, and the Children s Emotional Adjustment Scale-Preschool Version (CEAS-P) and the Home Nurture Environment Scale for children aged 3-6 were surveyed on parents of preschool children. The t-test was used to test the difference, Spearman correlation analysis and multiple linear regression were used to analyze the influencing factors of preschool children s emotional competence. Results: There were significant differences in emotional competence scores of preschool children for demographic indicators including age, place of residence, health status and whether they were only children ( F/t =5.98, 6.56, 38.00, 2.23, P <0.01). The emotional competence of preschool children was positively correlated with the home rearing environment ( r=0.62, P <0.01). Multiple linear regression analysis showed that diverse activities/play participation, social adaptation/self management, and emotional warmth/self expression in home rearing environment were positive predictors of children s emotional ability ( β =0.30, 0.28, 0.16), while neglect/intervention/punishment were negative predictors ( β =-0.09)( P <0.05). Conclusions The home rearing environment is a factor related to young children s emotional competence. It is suggested specific parenting initiatives such as enriching family activities and play, strengthening children s self adaptation and management, giving warmth and let children express emotions, and preventing child neglect, interference and punishment should be conducted to improve children s emotional competence.

Aim To investigate the effect of quercetin on the aging model of bone marrow mesenchymal stem cells established under microgravity. Methods Using 3D gyroscope, a aging model of bone marrow mesenchymal stem cells was constructed, and after receiving quercetin and microgravity treatment, the anti-aging effect of the quercetin was evaluated by detecting related proteins and oxidation indexes. Results Compared to the control group, the expressions of age-related proteins p21, pi6, p53 and RB in the microgravity group significantly increased, while the expressions of cyclin D1 and lamin B1 significantly decreased, with statistical significance (P<0.05). In the microgravity group, mitochondrial membrane potential significantly decreased (P<0.05), ROS accumulation significantly increased (P <0.05), SOD content significantly decreased and MDA content significantly increased (P<0.05). Compared to the microgravity group, the expressions of age-related proteins p21, pi6, p53 and RB in the quercetin group significantly decreased, while the expressions of cyclin D1 and lamin B1 significantly increased, with statistical significance (P<0.05). In the quercetin group, mitochondrial membrane potential significantly increased (P<0.05), ROS accumulation significantly decreased (P<0.05), SOD content significantly increased and MDA content significantly decreased (P<0.05). Conclusions Quercetin can resist oxidation, protect mitochondrial function and normal cell cycle, thus delaying the aging of bone marrow mesenchymal stem cells induced by microgravity.

Biosensor analysis technology is a kind of technology with high specificity that can convert biological reactions into optical and electrical signals. In the development of drugs for Alzheimer's disease (AD), according to different disease hypotheses and targets, this technology plays an important role in confirming targets and screening active compounds. This paper briefly describes the pathogenesis of AD and the current situation of therapeutic drugs, introduces three biosensor analysis techniques commonly used in the discovery of AD drugs, such as surface plasmon resonance (SPR), biolayer interferometry (BLI) and fluorescence analysis technology, explains its basic principle and application progress, and summarizes their advantages and limitations respectively.

This study constructed a LHCGR-CRE-luc-HEK293 transgenic cell line according to the activation of the cAMP signaling pathway after recombinant human chorionic gonadotropin binding to the receptor. The biological activity of recombinant human chorionic gonadotropin was assayed using a luciferase assay system. The relative potency of the samples was calculated using four-parameter model. And the method conditions were optimized to validate the specificity, relative accuracy, precision and linearity of the method. The results showed that there was a quantitative potency relationship of human chorinonic gonadotropin (hCG) in the method and it was in accordance with the four-parameter curve. After optimization, the conditions were determined as hCG dilution concentration of 2.5 μg·mL^-1, dilution ratio of 1∶4, cell number of 10 000-15 000 cells/well, and induction time of 6 h. The method had good specificity, relative accuracy with relative bias ranging from -8.9% to 3.4%, linear regression equation correlation coefficient of 0.996, intermediate precision geometric coefficient of variation ranging from 3.3% to 15.0%, and linearity range of 50% to 200%. This study successfully established and validated a reporter gene method to detect hCG biological activity, which can be used for hCG biological activity assay and quality control.

Based on the strategy of metabolomics combined with bioinformatics, this study analyzed the potential allergens and mechanism of pseudo-allergic reactions (PARs) induced by the combined use of Reduning injection and penicillin G injection. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). Based on UPLC-Q-TOF/MS technology combined with UNIFI software, a total of 21 compounds were identified in Reduning and penicillin G mixed injection. Based on molecular docking technology, 10 potential allergens with strong binding activity to MrgprX2 agonist sites were further screened. Metabolomics analysis using UPLC-Q-TOF/MS technology revealed that 34 differential metabolites such as arachidonic acid, phosphatidylcholine, phosphatidylserine, prostaglandins, and leukotrienes were endogenous differential metabolites of PARs caused by combined use of Reduning injection and penicillin G injection. Through the analysis of the "potential allergen-target-endogenous differential metabolite" interaction network, the chlorogenic acids (such as chlorogenic acid, neochlorogenic acid, cryptochlorogenic acid, and isochlorogenic acid A) and β-lactam allergens in the combination of the two may be mainly regulated by PLD1, PLA2G12A and CYP1A1. The three upstream signal target proteins mainly activate the arachidonic acid metabolic pathway, promote the degranulation of mast cells, release downstream endogenous inflammatory mediators, and induce PARs.