ObjectiveTo establish a high-performance liquid chromatography（HPLC） for the quantitative analysis of multiple components in Gegen Qinlian tablets， and to comprehensively evaluate the quality of samples from different manufacturers by integrating chemical pattern recognition and technique for order preference by similarity to ideal solution（TOPSIS）， in order to provide a reference basis for quality evaluation and control of Gegen Qinlian tablets. MethodsHPLC was employed to determine the contents of 10 components in 28 batches of Gegen Qinlian tablets collected from 6 manufacturers， and taking the detection results as variables， SIMCA 14.1 and SPSS 26.0 were employed for cluster analysis（CA）， principal component analysis（PCA）， and orthogonal partial least squares-discriminant analysis（OPLS-DA） to identify key components affecting the quality. Then， TOPSIS analysis was employed to rank the quality of Gegen Qinlian tablets from the 6 manufacturers and establish a comprehensive quality evaluation method. ResultsA quantitative method for Gegen Qinlian tablets was established. After methodological validation， the method was found to be stable and reliable， and could be used for the quantitative analysis of this preparation. The contents of 3′-hydroxy puerarin， puerarin， 3′-methoxy puerarin， daidzein， coptisine hydrochloride， epiberberine， jatrorrhizine hydrochloride， berberine hydrochloride， palmatine hydrochloride and baicalin in 28 batches of samples were 3.58-7.35， 24.88-42.32， 4.20-9.36， 4.33-7.60， 2.52-6.44， 0.93-4.10， 0.58-3.05， 10.68-22.92， 0.82-4.82， 11.73-60.16 mg·g^-1， respectively. Among them， puerarin， berberine hydrochloride and baicalin all met the limit requirements for this preparation specified in the 2025 edition of the Pharmacopoeia of the People's Republic of China. CA and PCA clustered the 28 batches of samples into 5 categories， PCA extracted 2 principal components with a cumulative variance contribution rate of 90.588%， and OPLS-DA screened out 4 differential markers with variable importance in the projection（VIP） values>1.0， namely baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride， which might be the main components affecting the quality of Gegen Qinlian tablets. TOPSIS analysis showed that the comprehensive score of each evaluation index（C_i） values of different manufacturers were different. Among them， the C_i of manufacturer B was ranked higher， indicating potentially superior quality， while the C_i of manufacturer A was ranked lower， suggesting potentially inferior quality. ConclusionThis study establishes a quantitative method for Gegen Qinlian tablets， and the content uniformity of the same manufacturer is good， while there are differences in the contents of active components among different manufacturers. Through the chemical pattern recognition analysis， it is found that the content differences of Gegen Qinlian tablets may be related to baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride.

Objective To determine the effect of thalamic nucleus reuniens(RE)on sleep spindles and neuronal activity in the medial prefrontal cortex(mPFC)during non-rapid eye movement(NREM)sleep.Methods Thirteen wild-type C57BL/6 male mice(8～12 weeks old,weighing 22～28 g)were randomly divided into an experimental group(n=7)and a control group(n=6).Optogenetic inhibition combined with multi-channel recording technology was used to specifically inhibit RE projections to mPFC during NREM sleep with yellow light for 20 s,in a 5-min interval between 2 times of light stimuli.The types and distribution of neurons were identified based on the waveform width and firing frequency of neurons.The changes in spindle activity in the mPFC following inhibition,as well as in firing of interneurons and pyramidal neurons were analyzed.Results Morphological data confirmed that neural fibers originating from the RE densely projected to the mPFC,primarily distributed in the deep layers.In the experimental group,light stimulation significantly affected the spindle activity in the mPFC when compared with the period before light stimulation,mainly manifested as a decrease in spindle rate,central frequency,and peak-to-peak amplitude(P<0.05).However,no impacts on spindle duration,number of cycles,symmetry,and power were observed.Meanwhile,there were no significant changes in the spindle activity of the control group.The proportion of interneurons in the mPFC area was 21.9%,while pyramidal neurons accounted for 78.1%.The firing rates of interneurons in the experimental group decreased significantly during light stimulation(P<0.05),whereas there was no significant change in the firing rates of pyramidal neurons.In addition,the firing activities of both interneurons and pyramidal neurons in the control group remained unaffected.Conclusion During NREM sleep,RE inputs may participate in the generation of sleep spindles network oscillations in the mPFC by activating interneurons.

Biosensors have become powerful tools for real-time monitoring of specific small molecules and precise control of gene expression in biological systems. High-throughput sensors for 1, 4-butanediamine biosynthesis can greatly improve the screening efficiency of high-yielding 1, 4-butanediamine strains. However, the strategies for adapting the characteristics of biosensors are still rarely studied, which limits the applicability of 1, 4-butanediamine biosensors. In this paper, we propose the development of a 1, 4-butanediamine biosensor based on the transcriptional regulator PuuR, whose homologous operator puuO is installed in the constitutive promoter P_gapA of Escherichia coli to control the expression of the downstream superfolder green fluorescent protein (sfGFP) as the reporter protein. Finally, the biosensor showed a stable linear relationship between the GFP/OD₆₀₀ value and the concentration of 1, 4-butanediamine when the concentration of 1, 4-butanediamine was 0-50 mmol/L. The promoters with different strengths in the E. coli genome were used to modify the 1, 4-butanediamine biosensor, and the functional properties of the PuuR-based 1, 4-butanediamine biosensor were explored and improved, which laid the groundwork for high-throughput screening of engineered strains highly producing 1, 4-butanediamine.
Biosensing Techniques/methods* ; Escherichia coli/metabolism* ; Promoter Regions, Genetic/genetics* ; Green Fluorescent Proteins/metabolism* ; Transcription Factors/genetics* ; Escherichia coli Proteins/genetics* ; Diamines/metabolism* ; Gene Expression Regulation, Bacterial

OBJECTIVES: To investigate the effect of age-friendly social and family care environment on the long-term care (LTC) services for the disabled elderly people. METHODS: A questionnaire-based survey was conducted among disabled elderly people in three cities of Zhejiang province from June to August 2022, involving 311 subjects from Ningbo city (LTC service insurance pilot site, insured group) and 542 subjects from Hangzhou and Quzhou cities (uninsured group). The service provisions, including ensuring daily activities, preventive healthcare, and satisfying spiritual comfort, were compared among the groups. The family friendly care environment was evaluated with the Family Function Scale and assistance of daily activities, financial support and emotional comfort. The social friendly care environment was measured with the revised WHO recommended age-friendly city environmental framework, including accessibility guarantee environment, information dissemination environment, social participant environment, and life security environment. After controlling for covariates such as sociodemographic, elderly care status, and health risk characteristics, the impact of environment on the effectiveness of service provision of LTC insurance was explored by multiple logistic regression analysis. The mediating and moderating effects were tested to explore the role of age-friendly care environment. A fixed effects model was used to test the service provision effects of LTC insurance policy. RESULTS: Disabled elderly with LTC insurance had a higher proportion of their preventive health care and spiritual comfort needs met. Additionally, a multifactorial analysis found a significant positive association between LTC insurance and meeting the spiritual comfort needs. Compared with insured group (Ningbo city), disabled elderly people in Hangzhou urban area (OR=0.45, 95%CI:0.27-0.74, P<0.01) and Quzhou rural area (OR=0.21, 95%CI:0.12-0.37, P<0.01) were more likely to feel unsatisfied with spiritual comfort. The results of mediation analysis showed that the scores of accessibility guarantee environment (OR=1.22, 95%CI:1.02-1.45, P<0.05), information dissemination environment (OR=1.19, 95%CI:1.02-1.39, P<0.05), and social participation environment (OR=1.40, 95%CI:1.17-1.67, P<0.01) in a socially friendly care environment were positively correlated with the satisfaction rate of mental comfort services. The results of the moderation effect analysis indicated that a socially friendly care environment (OR=1.46, 95%CI:1.16-1.84, P<0.01) could compensate for the difference in effectiveness between insured (Ningbo) and uninsured (Hangzhou and Quzhou) areas of LTC insurance. A fixed effect model confirmed the policy chain of LTC insurance policy-social friendly care environment-mental health service satisfaction. CONCLUSIONS The implementation of LTC insurance has improved service accessibility, making disabled elderly people feel "seen and valued", and generating psychological and spiritual satisfaction. Accelerating the establishment and improvement of the LTC insurance system requires systematic design, especially emphasizing the supportive role of a socially friendly care environment, and promoting it in urban and rural areas according to the local conditions.
Humans ; Aged ; Persons with Disabilities ; Surveys and Questionnaires ; Long-Term Care ; Female ; Male ; China ; Social Environment ; Middle Aged ; Aged, 80 and over

Objective To investigate the effects of N-acetylcysteine(NAC)on methylnitro-sourea(MNNG)-induced precancerous lesions of gastric cancer(PLGC)and analyze its underlying mechanisms.Methods Gastric epithelial cell line GES-1 was cultured in vitro and treated with dif-ferent concentrations of MNNG.The rat PLGC model was established by MNNG induction.The mor-phological changes of the cells were observed by microscope,and the migration and invasion ability of the cells were evaluated by wound healing and transwell tests,respectively.Western blot analysis was conducted to evaluate epithelial-mesenchymal transition(E-cadherin and N-cadherin proteins expres-sion)and related proteins expression of reactive oxygen species(ROS)/phosphatidylinositol 3-kinase(PI3K)/protein kinase B(AKT)/nuclear factor-KB(NF-κB)pathway[phosphorylated PI3K(p-PI3K),p-AKT and nuclear p65 protein].ROS levels were detected using DCFH-DA staining.Histopathological changes in gastric tissues were observed using hematoxylin and eosin(HE)stai-ning.Results In vitro experiments demonstrated that NAC treatment alleviated MNNG-induced al-terations in the morphology and growth characteristics of GES-1 cells,inhibiting cell migration and in-vasion.In vitro experiments showed that NAC treatment reduced MNNG-induced lesions and hyper-plasia.NAC inhibited the EMT process(increased E-cadherin expression and decreased N-cadherin expression)and suppressed the ROS/PI3K/AKT/NF-κB pathway(decreased expression of p-PI3K,p-AKT and nuclear p65 protein)both in vitro and in vivo.Activation of the ROS/PI3K/AKT/NF-κB pathway partially reversed the effects of NAC on MNNG-induced cell migration,invasion,epithelial-mesenchymal transition and related proteins in the ROS/PI3K/AKT/NF-κB pathway in GES-1 cells.Conclusion The protective effect of NAC on MNNG-induced PLGC may be associated with the in-activation of the ROS/PI3K/AKT/NF-κB pathway.

Objective:To analyze the current situation and influencing factors of information need for cardiac rehabilitation of urban and rural patients with coronary heart disease, and explore the inequality of information need for cardiac rehabilitation among urban and rural patients with coronary heart disease and its influencing factors, so as to provide a scientific reference for formulating targeted cardiac rehabilitation programs.Methods:From June to July 2024, hospitalized patients with coronary heart disease from a Class A tertiary hospital in Suzhou City were selected by convenience sampling as the study subjects. A General Information Questionnaire, Information Need in Cardiac Rehabilitation Hospital Anxiety and Depression Scale, Health Literacy Management Scale, and Coronary Artery Disease Self-Management Scale were used to conduct a questionnaire survey. Multiple linear regression was used to analyze the influencing factors of the cardiac rehabilitation information needs and the oaxaca-blinder model was used to analyze the causes of unequal information needs in urban and rural patients.Results:A total of 254 hospitalized patients with coronary heart disease who met the inclusion and exclusion criteria were surveyed, included 127 males and 127 females, 182 of them were aged 60 years or older. The total cardiac rehabilitation information needs score of rural and urban patients with coronary heart disease were 168.00 (115.50, 255.00) and 213.00 (132.00, 255.00), respectively, the difference was significant ( U = 5 389.50, P<0.05). Multiple regression analysis showed that health literacy ( β = 0.871, P<0.05) was the influencing factor of cardiac rehabilitation information needs of rural coronary heart disease patients, and depression ( β = 0.719, P<0.05) and living status ( β = -0.186, P<0.05) was the influencing factor of cardiac rehabilitation information needs of urban coronary heart disease patients. Average monthly household income per capita (C = 14.50%) and health literacy (C = 88.30%) were the main causes of the difference in cardiac rehabilitation information needs between urban and rural patients with coronary heart disease. Conclusions:The information demand for cardiac rehabilitation of patients with coronary heart disease in rural area is lower than that in urban areas in Suzhou, mainly due to health literacy and monthly income. It is recommended to narrow the urban-rural gap by improving rural health literacy, optimizing medical insurance policies, and promoting a multi-level rehabilitation service network.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

The goal of medical talent training under the new medical science concept is to comprehensively enhance the quality of medical education and cultivate high-quality medical talents with interdisciplinary integration, innovation spirit, and an international perspective to meet the demands of the new era. To achieve this goal, the joint education program between Chongqing Medical University and the University of Leicester integrates comprehensive quality development into the undergraduate medical education system, introducing the cutting-edge international course "Respiratory and Cancer Precision Medicine". This course centers on precision medicine, spanning respiratory diseases and oncology, and uses a clinical-basic cyclical integrated course design with a highly-informationized blended teaching model. Students have gained a close integration of clinical practice and research capabilities, significantly enhancing their inquiry spirit, critical thinking, independent learning, and higher-order cognitive skills. They also engage in innovative thinking and interdisciplinary collaboration within an international context to better address complex medical issues. This paper provides a detailed analysis of the practice and research of the introduced course, offering valuable insights for cultivating high-quality medical talents.

Objective:To analyze the application effect of small private online course (SPOC)-based maker education in oncology surgical nursing teaching.Methods:This study enrolled 105 nursing students who completed their internship in the Department of Oncology Surgery from January 2022 to September 2023. The subjects were divided into control group ( n=52, conventional teaching) and observation group ( n=53, SPOC-based maker education) according to their admission order. Before and after teaching, students were evaluated on the theoretical knowledge, operational skills, nursing practice ability, innovation ability, self-learning ability, professional identity, and teamwork ability. The Medical Education Satisfaction Scale (MESS-21) was used to evaluate teaching outcomes. Data were analyzed using the t-test and chi-square test with SPSS 25.0. Results:After teaching, the observation group had higher scores than the control group in theoretical knowledge [(93.60±12.53) vs. (85.90±10.49)], operational skills [(92.63±12.40) vs. (83.75±10.27)], nursing practice ability [(93.50±12.81) vs. (84.72±11.43)], and innovation ability [(91.68±12.53) vs. (80.20±8.37)]; this was also true for learning motivation [(16.63±4.76) vs. (12.90±3.85)], planning and implementation [(16.83±4.77) vs. (13.54±4.32)], self-management [(15.49±4.60) vs. (13.42±4.13)], interpersonal communication [(14.74±4.53) vs. (11.77±3.59)], POIS-M score [(84.61±8.84) vs. (63.53±6.48)], and T-TAQ score [(53.90±5.07) vs. (46.75±4.02)] (all P<0.05). The observation group also had significantly higher scores than the control group in clarity of teaching objectives [(13.58±3.47) vs. (9.14±2.66)], practicality of teaching content [(13.50±3.69) vs. (10.62±2.81)], and supportiveness of teaching resources [(13.92±3.58) vs. (8.88±2.34)]. Conclusions:SPOC-based maker education offers significant advantages in oncology surgical nursing teaching. It effectively enhances nursing students' theoretical knowledge, operational skills, nursing practice ability, innovation ability, self-learning ability, professional identity, and teamwork ability and it is highly valued by students. Its novelty and effectiveness provide new ideas for oncology surgical nursing teaching.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.