ObjectiveTo investigate the influence of empagliflozin combined with donafenib or lenvatinib on the pharmacokinetic parameters of each drug， and to provide a reference for combined medication in clinical practice. MethodsA total of 48 healthy male Sprague-Dawley rats were divided into 8 groups： empagliflozin group 1 and 2， donafenib group， lenvatinib group， donafenib pretreatment+empagliflozin group， lenvatinib pretreatment + empagliflozin group， empagliflozin pretreatment+donafenib group， and empagliflozin pretreatment+lenvatinib group， with 6 rats in each group. The doses of empagliflozin， donafenib， and lenvatinib were 2.5 mg/kg， 40 mg/kg， and 1.2 mg/kg， respectively. The rats in the empagliflozin group， donafenib group， and lenvatinib group were given a blank solvent by gavage for 7 consecutive days， followed by a single dose of empagliflozin， donafenib， or lenvatinib on day 7 after the administration of the blank solvent； the rats in the pretreatment groups were given the pretreatment drug by gavage for 7 consecutive days， followed by a single dose of drug combination on day 7 after administration of the pretreatment drug. Blood samples were collected at different time points， and plasma was separated to measure the concentration of each drug. A validated ultra-performance liquid chromatography-tandem mass spectrometry method was used to measure the plasma concentrations of donafenib， lenvatinib， and empagliflozin， and a non-compartmental model was used to calculate the main pharmacokinetic parameters of each drug （area under the plasma concentration-time curve ［AUC］， time to peak ［T_max］， peak concentration ［C_max］， and half-life time ［t_1/2］）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups. ResultsCompared with the empagliflozin group， the donafenib pretreatment+empagliflozin group had significant increases in the AUC_0-t and AUC_0-∞ of empagliflozin （P=0.011 and 0.008）， while the lenvatinib pretreatment+empagliflozin group had no significant change in the AUC of empagliflozin， with a slightly shorter T_max （P=0.019）. Compared with the donafenib group， the empagliflozin pretreatment+donafenib group had significant increases in the AUC_0-t and AUC_0-∞ of donafenib （P=0.027 and 0.025）， as well as a significant increase in C_max （P=0.015） and significant reductions in CLz/F and Vz/F （P=0.005 and 0.004）； compared with the lenvatinib group， the empagliflozin pretreatment+lenvatinib group had a reduction in the t_1/2 of lenvatinib by approximately 5 hours （P=0.002）， with a trend of reduction in AUC_0-t （P0.05）. ConclusionEmpagliflozin combined with donafenib may alter the pharmacokinetic parameters of both drugs， leading to a significant increase in the exposure levels of both drugs， and efficacy and adverse reactions should be monitored during co-administration. There are no significant changes in the exposure levels of empagliflozin and lenvatinib during co-administration.

Objective To investigate the association between the Chinese visceral adiposity index (CVAI) and diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension among elderly people in Hebei Province. Methods In 2020, a stratified multi-stage random sampling was used to conduct questionnaire survey, physical examination and laboratory detection among permanent residents of 10 monitoring sites in Hebei Province. Logistic regression was used to analyze the association between CVAI and diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension. The area under the ROC curve (AUC) was used to evaluate the predictive value of CVAI for diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension. Results The detection rates of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension were 19.8%, 74.6%, 78.2%, and 16.2%, respectively. Multivariate logistic regression analysis showed that compared with the lowest quartile of CVAI group Q1, the OR (95% CI) of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension in the highest quartile Q4 group were 3.55 (2.58~4.89), 2.52 (1.92~3.31), 3.09 (2.31~4.12), and 4.92 (3.40~7.12), respectively. The ROC curve results showed that CVAI had the best predictive value in the diagnosis of diabetes with hypertension, and the optimized critical values in males and females were 128.54 and 141.88, respectively. Conclusion The detection rates of diabetes mellitus and hypertension are high in the elderly population in Hebei Province. CVAI is positively associated with the risk of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension among the elderly in Hebei. CVAI has the strongest prediction ability for diabetes with hypertension.

AIM: To investigate the correlation of serum C-reactive protein(CRP)-to-albumin(ALB)ratio(CAR)and neutrophil-to-lymphocyte count ratio(NLR)with pathological staging and prognosis of retinopathy of prematurity(ROP), and the predictive value of its combined testing for the prognosis of infants.METHODS:Prospective study. A total of 147 children with ROP who were born in our hospital from March 2022 to September 2024 were served as the ROP group, and 100 premature infants without ROP were served as the control group in the same period. Fully automatic biochemical analyzer was used to detect serum CRP and ALB; the flow cytometry nucleic acid fluorescence staining was used to count neutrophils and lymphocytes, and the CAR and NLR were calculated. Spearman correlation was used to analyze the relationship of serum CAR and NLR with ROP staging. Logistic regression was used to analyze the factors affecting the prognosis of children with ROP. ROC curve was drew to analyze the predictive value of serum CAR and NLR for the prognosis of ROP.RESULTS: There was comparability between the ROP group and the control group. The ROP group had significantly higher serum CRP, CAR, neutrophil count, and NLR than the control group, and clearly lower ALB and lymphocyte count than the control group(all P<0.05). Children with stage IV ROP had clearly higher serum CAR and NLR than stages I, II, and III, and the differences among stages I, II, and III were significant(all P<0.05). Serum CAR and NLR were positively correlated with ROP staging(r=0.529, 0.587, all P<0.05), and there was a positive correlation between serum CAR and NLR(r=0.546, P<0.05). The poor prognosis group had clearly higher serum CAR and NLR than good prognosis group(all P<0.001). Elevated serum CAR and NLR were risk factors affecting the prognosis of children with ROP(all P<0.05). The AUC of serum CAR, NLR, and joint detection in predicting the prognosis of ROP children was 0.803, 0.825, and 0.938, respectively. The joint detection showed better predictive performance(Zcombinatoion-CAR=2.637, Zcombinatoion-NLR=2.528, all P<0.05).CONCLUSION:Serum CAR and NLR are elevated in children with ROP, and they are closely related to pathological staging and prognosis. The joint detection has a higher predictive value in evaluating the prognosis of ROP.

Cardiotocography (CTG) is a non-invasive and important tool for diagnosing fetal distress during pregnancy. To meet the needs of intelligent fetal heart monitoring based on deep learning, this paper proposes a TWD-MOAL deep active learning algorithm based on the three-way decision (TWD) theory and multi-objective optimization Active Learning (MOAL). During the training process of a convolutional neural network (CNN) classification model, the algorithm incorporates the TWD theory to select high-confidence samples as pseudo-labeled samples in a fine-grained batch processing mode, meanwhile low-confidence samples annotated by obstetrics experts were also considered. The TWD-MOAL algorithm proposed in this paper was validated on a dataset of 16 355 prenatal CTG records collected by our group. Experimental results showed that the algorithm proposed in this paper achieved an accuracy of 80.63% using only 40% of the labeled samples, and in terms of various indicators, it performed better than the existing active learning algorithms under other frameworks. The study has shown that the intelligent fetal heart monitoring model based on TWD-MOAL proposed in this paper is reasonable and feasible. The algorithm significantly reduces the time and cost of labeling by obstetric experts and effectively solves the problem of data imbalance in CTG signal data in clinic, which is of great significance for assisting obstetrician in interpretations CTG signals and realizing intelligence fetal monitoring.
Humans ; Pregnancy ; Female ; Cardiotocography/methods* ; Deep Learning ; Neural Networks, Computer ; Algorithms ; Fetal Monitoring/methods* ; Heart Rate, Fetal ; Fetal Distress/diagnosis* ; Fetal Heart/physiology*

Objective To explore the mechanism by which She-Ti-Zhi-Qiu decoction alleviates allergic rhinitis (AR) through gut microbiota-mediated regulation of T helper cell 17(Th17)/regulatory T cells(Treg) balance and related cytokines. Methods Twenty-eight female SD rats were randomly divided into four groups: the Control group, Model group, STZQ group, and Probiotics group. Except for the Control group, all other groups were sensitized with ovalbumin (OVA) to establish AR models. The Control and Model groups received intragastric administration of normal saline, while the STZQ group was administered She-Ti-Zhi-Qiu Decoction, and Probiotics group received probiotics. After two weeks of continuous intragastric administration, nasal mucosa, serum, peripheral blood, and colon contents were collected. The inflammation of nasal mucosal tissue was assessed via HE staining. 16S rDNA sequencing was used to detect and analyze the structure and content of bacteria in colon contents. Flow cytometry was used to detect the relative proportions of Treg and Th17 cells in peripheral blood. ELISA was used to measure the levels of Th17- and Treg-related cytokines in serum. Results Compared with the Control group, the Model group showed an inflammatory response in nasal mucosal tissue, along with increased IL-17A and IL-17E levels and decreased IL-10 levels. The percentage of Th17 cells in peripheral blood increased, while the percentage of Treg cells decreased. Beneficial bacteria in the intestine were decreased, while pathogenic bacteria were increased. Compared with the Model group, the STZQ group showed lower serum IL-17A and IL-17E levels and higher IL-10 levels. The percentage of Th17 in peripheral blood decreased, while the percentage of Treg increased. There was an increase in beneficial bacteria in the intestine and a decrease in pathogenic bacteria. The changes in the microbiota were correlated with IL-17A, IL-17E, and IL-10 levels. Conclusion She-Ti-Zhi-Qiu decoction can ameliorate the inflammation of AR by regulating gut microbiota and Th17/Treg immune balance.
Animals ; T-Lymphocytes, Regulatory/drug effects* ; Th17 Cells/drug effects* ; Gastrointestinal Microbiome/drug effects* ; Rats, Sprague-Dawley ; Drugs, Chinese Herbal/therapeutic use* ; Female ; Rhinitis, Allergic/microbiology* ; Rats ; Cytokines

Small cell lung cancer (SCLC) is the thoracic malignant tumor and accounts for about 15% of lung malignancies and transfer often occurs by the time of diagnosis. Extensive stage-small cell lung cancer (ES-SCLC) accounts for about 2/3 of all SCLC. For many years, radiotherapy has occupied an important position in the treatment of SCLC, especially in the treatment of ES-SCLC, because SCLC is more sensitive to radiotherapy. However, in recent years, immune checkpoint inhibitor has shown more excellent antitumor activity in the treatment of ES-SCLC and become the mainstream argument for the treatment of ES-SCLC. However, will radiotherapy be buried by the times among the therapeutic approaches for ES-SCLC? In this article, we will review the clinical progress of radiotherapy, immunotherapy and combination therapy for ES-SCLC.
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Humans ; Small Cell Lung Carcinoma/therapy* ; Lung Neoplasms/therapy* ; Immunotherapy ; Neoplasm Staging ; Radiotherapy/methods* ; Combined Modality Therapy

Objective:To explore the factors influencing adherence to voice therapy among patients with voice disorders in China. Methods:Patients with voice disorders who visited the Voice Therapy Center at Sun Yat-sen Memorial Hospital, Sun Yat-sen University, from February to May 2022 were enrolled in the study. Adherence was assessed using the URICA-Voice scale, while influencing factors were assessed through the Voice Handicap Index（VHI） scale and a general information questionnaire. Correlation analysis was conducted using univariate and multivariate logistic regression analysis. Results:A total of 247 patients were included in the study, comprising 57 males（23.08%） and 190 females（76.92%）. The results revealed that: ①Female patients demonstrated higher likelihood of being in the contemplation stage（OR=0.22） compared to males. ②Patients with a monthly family income per capita>6 000 yuan were more likely to be in the contemplation stage than those with<3 000 yuan with an OR = 13.94. ③High vocal-demand occupations increased contemplation stage probability（OR=7.70） compared to moderate-demand occupations. ④Residence within 30-minute commute predicted action/maintenance stages（OR=7.14） versus≥60-minute commute. ⑤Patients whose occupations had high voice demands were more likely to be in the action and maintenance stages than those with average voice demands, with an OR of 16.20. Conclusion:Gender, monthly family income per capita, occupational voice demands, and distance to the hospital significantly impact the URICA-Voice compliance stages of patients. Patients who are female, have higher family income, have occupations with high voice demands, and live closer to the hospital exhibit higher compliance with voice training.
Humans ; Male ; Female ; Voice Disorders/therapy* ; Patient Compliance ; Voice Training ; Surveys and Questionnaires ; China ; Middle Aged ; Adult ; Voice Quality ; Logistic Models ; Aged

In the century-long evolution of insulin pharmaceuticals, each transformative advancement in this drug class has been closely tied to the ability to obtain new insulin isoforms for research. Despite this, the recently discovered naturally occurring isoforms of glycosylated human insulin have remained largely unattainable for proper characterization. Herein, we demonstrate for the first time that total chemical synthesis can be used to generate all isoforms. This achievement required maintaining the correct positions of the interchain disulfide bonds while effectively removing protecting groups on complex glycans. Notably, the availability of seven glycoforms reveals the important effects of natural sialylated glycans in suppressing insulin self-association and enhancing its solubility, surpassing the performance of currently employed rapid-acting insulin drugs. This work not only offers a readily adaptable platform for exploring natural O-glycosylation in other therapeutic proteins and peptides but also lays the groundwork for further research into harnessing natural glycosylation for therapeutic applications.

In this study, we employed a combination of genome mining and heteronuclear single quantum coherence (HSQC)-based small molecule accurate recognition technology (SMART) technology to search for fernane-type triterpenoids. Initially, potential endophytic fungi were identified through genome mining. Subsequently, fine fractions containing various fernane-type triterpenoids were selected using HSQC data collection and SMART prediction. These triterpenoids were then obtained through targeted isolation and identification. Finally, their antifungal activity was evaluated. As a result, three fernane-type triterpenoids, including two novel compounds, along with two new sesquiterpenes and four known compounds were isolated from one potential strain, Diaporthe discoidispora. Their structures were elucidated through analysis of high-resolution electrospray ionization mass spectrometry (HR-ESI-MS) and nuclear magnetic resonance (NMR) spectroscopic data. The absolute configurations were determined using single-crystal X-ray diffraction analysis and electron capture detector (ECD) analysis. Compound 3 exhibited moderate antifungal activity against Candida albicans CMCC 98001 and Aspergillus niger.
Triterpenes/isolation & purification* ; Antifungal Agents/isolation & purification* ; Molecular Structure ; Candida albicans/drug effects* ; Ascomycota/genetics* ; Magnetic Resonance Spectroscopy ; Aspergillus niger/drug effects* ; Genome, Fungal ; Microbial Sensitivity Tests

Nonalcoholic steatohepatitis （NASH） is a chronic liver disease with the main pathological features of hepatic steatosis， inflammatory cell infiltration， and interstitial fibroplasia， and it is an important risk factor for liver fibrosis， liver cirrhosis， and hepatocellular carcinoma. NOD-like receptor protein 3 （NLRP3） inflammasome is the core of innate immunity， and the abnormal activation of NLRP3 inflammasome is closely associated with the development and progression of NASH， which involves multiple links such as inflammatory response and oxidative stress. A large number of studies have shown that the active ingredients of traditional Chinese medicine （TCM） and TCM compound prescriptions can improve oxidative stress， regulate lipid metabolism， and alleviate liver inflammation by regulating NLRP3 inflammasome. TCM treatment applied in clinical practice has achieved a good therapeutic effect， while inflammasome is one of the key pathways or targets for TCM in improving NASH. This article reviews the mechanism of action of NLRP3 inflammasome in NASH and the research advances in TCM intervention of NLRP3 inflammasome， in order to provide ideas for the clinical TCM treatment of NASH， as well as reference targets and research directions for the research and development of new TCM drugs.