Prescription optimization is a crucial aspect in the study of traditional Chinese medicine （TCM） compounds. In recent years， the introduction of mathematical methods， data mining techniques， and artificial neural networks has provided new tools for elucidating the compatibility rules of TCM compounds. The study of TCM compounds involves numerous variables， including the proportions of different herbs， the specific extraction parts of each ingredient， and the interactions among multiple components. These factors together create a complex nonlinear dose-effect relationship. In this context， it is essential to identify methods that suit the characteristics of TCM compounds and can leverage their advantages for effective application in new drug development. This paper provided a comprehensive review of the cutting-edge optimization experimental design methods applied in recent studies of TCM compound compatibilities. The key technical issues， such as the optimization of source material selection， dosage optimization of compatible herbs， and multi-objective optimization indicators， were discussed. Furthermore， the evaluation methods for component effects were summarized during the optimization process， so as to provide scientific and practical foundations for innovative research in TCM and the development of new drugs based on TCM compounds.

[Objective] To perform genetic analysis on samples with weak agglutination and mixed agglutination of ABO blood group antigens in neonates, and to investigate the molecular biological characteristics of ABO subtypes in neonates. [Methods] Serological identification of ABO blood group was performed by tube method and microcolumn gel method. The ABO exons 2-7 were amplified by PCR, and the amplified products were sequenced by Sanger sequencing method to determine the genotype. [Results] Among the ABO blood group serological results of 14 neonates, 8 cases showed weakened A antigen, and 6 cases showed weakened B antigen. Seven samples were identified with ABO subtype alleles, with genotypes as A102/B101+c.538C>T, Aw26/B102, A205/O02, A205/B101(2 cases), Aw26/O02, B(A)06/O01, B101/O01(3 cases), A102/O01(2 cases), A102/B101 and B101/O02. Additionally, three other family members were also found to carry B(A)06 allele in a pedigree investigation. [Conclusion] For samples showing weakened antigens in ABO blood type identification of neonates, it is necessary to consider the possibility of ABO subtype in addition to age factors, and genetic testing can be used to prevent missed detection of ABO subtypes in neonates.

Objective: To analyze factors impacting mental health status of medical students based on ecological systems theory, so as to provide reference for the mental health promotion system for medical students. Methods: In June 2024, 1 760 medical school students randomly selected from 19 different kinds of medical colleges in eastern China by stratified cluster were surveyed using questionnaires and expert interviews. Descriptive statistics, cross analysis, hierarchical linear regression analysis, structural equation models were used for data analysis. Results: Medical school students had higher satisfaction with the school (65.85%) and a great sense of perceived social support (57.16%). Furthermore, 91.14% of the students had normal interpersonal relationships. However, 44.89% reported that their mental health was impacted by high level of depression. The hierarchical linear regression analysis showed that the mental health outcomes of the medical students were positively predicted by higher perceived social support scores ( β =-11.40), institutional satisfaction ( β =-4.85 ), and lower help seeking stigma scores ( β =9.31) ( P <0.05). The structural equation modeling showed that the status of both perceived social support and self help seeking stigma had significant impacts on depression severity ( β =-0.32, -0.53) and interpersonal relationship sensitivity ( β =-0.31, 0.58) among medical students ( P <0.01).Through expert interviews, collaborations between the school and the tripartite organization (families, universities and society) was of growing importance. Conclusions Perceived social support and self stigma have a significant impact on the mental health status of medical students. The problem of self stigma of medical students should be paid attention to. Therefore, families, universities and society should work together to improve the mental health of medical students.

Background Although current evidence suggests a link between outdoor air pollution and depressive symptoms, the effect of solid fuel use (a significant indoor air pollutant) on depressive symptoms in China's rural middle-aged and elderly population remains poorly understood. Objective To explore the association between solid fuel use for cooking and depressive symptoms among middle-aged and elderly people in rural areas of China, and to provide a basis for the prevention and control of depressive symptoms among residents in rural areas. Methods Data were obtained from the 2020 China Family Panel Studies (CFPS), depressive symptoms were assessed using 8-item Center for Epidemiologic Studies Depression Scale (CES-D), and cooking fuel type was self-reported. Subsequently, two-level binary unconditional logistic regression models were fitted to assess the impact of solid fuel use for cooking on depressive symptoms. Results A total of 7991 participants aged 45 years and older [mean age (58.52±9.18) years] were included in the study, with a mean CES-D score of 6.07±4.48 and a mean positive depressive symptoms rate of 34% (40.54% in the solid fuel group and 30.81% in the clean fuel group, χ²=74.40, P<0.001). After controlling for potential confounding covariates, rural middle-aged and elderly residents in the solid fuel group had a higher risk of reporting depressive symptoms than those in the clean fuel group (OR=1.36, 95%CI: 1.20-1.54), an association that was unaffected by participant characteristics and was positive across age and gender groups. Conclusion There is a positive association between solid fuel use for cooking and depressive symptoms in middle-aged and elderly people in rural areas of China. It is recommended that rural areas promote the upgrading of stoves through the installation of ventilation equipment or the switch from solid cooking fuel to clean fuel. This approach is directed toward reducing exposure to household air pollution, alleviating the prevalence of depression among middle-aged and elderly residents in vast rural areas, and enhancing their mental health.

Seeds are the source for the production of Chinese medicinal materials. The seed authenticity and quality of directly affect the effectiveness and safety of Chinese medicinal materials. The seed quality is faced with the problems such as mixed sources， existence of adulterants and seeds stocked for years， low maturity， and low purity. To ensure the high-quality and sustainable development of the Chinese medicinal material industry， it is urgent to standardize the seed market and identify and evaluate the quality of the seeds circulating in the market. Seed identification methods include visual inspection， microscopic observation， micro-character identification， chemical fingerprinting， molecular identification， electronic nose， X-ray diffraction， electrochemical fingerprinting， spectral imaging， and artificial intelligence. These methods have different application scopes and unique advantages and disadvantages. According to the different species of Chinese herbal medicines and different requirements of testing sites， suitable methods can be selected to achieve rapid and accurate identification with low costs. In the future， the seed identification methods should be developed based on emerging technologies with interdisciplinary knowledge， and intelligent， nondestructive， and single-grain detection methods are needed for the modern Chinese medicinal material industry. This paper introduces the seed identification technologies currently applied in research and production， compares the principles， applicability， advantages， and disadvantages of different technologies， and provides an outlook on the future development of seed identification technologies， aiming to provide a reference for the identification and quality evaluation of seeds of Chinese medicinal material.

Objective: To explore the prevalence of elevated blood pressure and overweight/obesity and their comorbidities among Tibetan middle school students in Lhasa, and to analyze their association with lifestyle and other factors, so as to provide a basis for the intervention measures targeting elevated blood pressure, overweight and obesity among middle school students in high altitude area. Methods: Using a stratified cluster random sampling method in September 2021, a total of 1 488 Tibetan junior and high students from Lhasa City were investigated with blood pressure measurement, physical examination and questionnaire survey. The influencing factors of elevated blood pressure, overweight and obesity and their comorbidities association were analyzed by multivariate Logistic regression. Results: The prevalence of elevated blood pressure, overweight/obesity and their comorbidities were 17.8%, 17.4% , 5.0% respectively. Multivariate Logistic regression analysis showed that age( OR =0.81), residence, body mass inex(BMI) and gender were the influencing factors of elevated blood pressure; and the risks of elevated blood pressure in female students were higher than male students ( OR =1.89), suburban students were higher than urban students ( OR =8.06), overweight and obesity groups were higher than normal groups ( OR =2.55, 2.87) ( P <0.05). Adjusting for confounding factors such as gender, residence and school, and BMI (only for elevated blood pressure), daily screen time ≥2 h was positively correlated with elevated blood pressure, overweight/obesity and its comorbidities ( OR =1.56, 1.59 , 2.51) ( P <0.05). Conclusions The prevalence of elevated blood pressure, overweight/obesity are relatively high in Lhasa. Longer screen time is a common factor affecting with elevated blood pressure, overweight/obesity and comorbidities among Tibetan students. Measures should be taken intervene in the lifestyle of Tibetan students, in order to reduce elevated blood pressure and overweight/obesity.

Objective To investigate the application value of dual-layer spectral computed tomography(DLCT)45 keV single energy image in follow up after transcatheter arterial chemoembolization(TACE)for hepatocellular carcinoma(HCC).Methods The DLCT images of 60 patients with HCC after TACE treatment were analyzed retrospectively.The CT value and standard deviation(SD)value of the lesion region of interest(ROI)and surrounding normal liver parenchyma on two kinds of images with 45 keV energy spectrum CT and 120 kVp conventional CT were measured respectively,then the contrast-to-noise ratio(CNR)between the lesions and surrounding normal liver parenchyma was calculated,and their differences were compared.The image quality of the two kinds of images was scored subjectively with the 3-point method,and the patients were divided into different groups according to the enhance-ment degree and tumor staining.The receiver operating characteristic(ROC)curve was also drawn.Results(1)There was no signif-icant difference in CNR between arterial phase,portal phase,and delayed phase of 120 kVp conventional CT(Hc=1.128,P>0.05).The CNR of 45 keV energy spectrum CT was higher than that of 120 kVp conventional CT,with a statistically significant difference(Z=5.060,P<0.05).(2)The subjective score of 45 keV energy spectrum CT was higher than that of 120 kVp conventional CT,and the difference was statistically significant(Z=5.335,P<0.05).ROC curve analysis showed that 45 keV energy spectrum CT had a larger area under the curve(AUC)than 120 kVp conventional CT,and the difference was statistically significant(Z=4.136,P<0.001).Conclusion 45 keV energy spectrum CT image can significantly improve the CNR between tumor and normal liver parenchyma,and it has the better image quality and higher diagnostic efficiency.

Objective Explore the impact of long-term blood glucose fluctuations and blood glucose control on the stroke incidence in patients with type 2 diabetes mellitus(T2DM).Methods An observa-tional cohort of patients with T2DM was established based on"Shanghai Community Chronic Disease Health Management Service Objects"on October 1st,2018.Follow-ups were conducted every three months,and fasting blood glucose(FBG)were tested at each visit.Basic epidemiological data were collected via the Shanghai Community Health Management Information Platform or survey questionnaires,and stroke incidents were gathered via the"Shanghai Cardio-Cerebrovascular Event Monitoring System".The first reported stroke incident within the observation period was considered.The observational deadline was December 31st,2021.Standard deviation of FBG was used to evaluate blood glucose fluctuation and FBG control rate was used to reflect blood glucose control status.Cox Proportional Hazards Model was utilized to analyze the impacts.Results The cumulative observation time was 91,826.1 person-years for the study,in which there were 1785 cases of stroke events observed,implying a cumulative incidence of 5.73%and incidence rate of 1943.9/100000 person-years.The mean number of follow-ups(10.29±3.07)per patient was recorded.The details of the stroke cases were as follows:transient ischemic attacks(n=111,6.22%),non-lacunar brain infarctions(n=754,42.24%),lacunar brain infarctions(n=798,44.71%),intracerebral hemorrhages(n=80,4.48%),non-intracerebral hemorrhages(n=8,0.45%),subarachnoid hemorrhages(n=12,0.67%),and unclassified strokes(n=22,1.23%).After excluding subjects with less than five follow-ups,the Cox Proportional Hazards Model suggested that increased standard deviation of FBG was an independent risk factor for the first stroke incident,and an increased blood glucose control rate was an independent protective factor.Both the standard deviation of FBG and the blood glucose control rate were not correlated with stroke recurrence.Conclusion Long-term blood glucose fluctuations and blood glucose control can predict the risk of a first stroke in patients with T2DM.The relationship between blood glucose fluctuations,blood glucose management,and stroke recurrence requires further studies.

BACKGROUND:Inherited heart disease has a high prevalence and mortality rate,but its pathogenesis has not yet been clarified.Although relevant animal models have been established to provide a foundation for the pathogenesis research of inherited heart disease,the value of these research results has been significantly reduced due to differences among species.Therefore,a new model is needed to explore its occurrence and development. OBJECTIVE:To review the current role of induced pluripotent stem cells in disease modeling and potential application prospects in various inherited heart diseases. METHODS:The first author searched the relevant articles published nearly 13 years in PubMed from January to March 2023.The search terms were"induced pluripotent stem cell,inherited heart disease,congenital heart disease".Finally,76 articles were included for analysis. RESULTS AND CONCLUSION:Since 2007,when induced pluripotent stem cells were induced from human somatic cells,many studies have been reported on disease-specific induced pluripotent stem cells.Due to the ability of disease-specific induced pluripotent stem cells to reproduce disease phenotypes,they are expected to become a new research tool for in vitro disease modeling,used to analyze pathogenesis and develop auxiliary drugs.In the research of cardiovascular genetic diseases,cardiomyocytes derived from patient-specific induced pluripotent stem cells contain gene mutations that are involved in cardiac dysplasia.Therefore,it can be used as a new tool to study the potential mechanisms of inherited heart disease.Up to now,induced pluripotent stem cells-derived cardiomyocytes have been widely used to study the molecular mechanisms of various genetic heart diseases,such as cardiac electrophysiological diseases,cardiomyopathy,and some syndromic inherited heart diseases.

Purpose To explore the predictive value of nomogram model for invasive breast cancer with axillary lymph node metastasis.Materials and Methods Retrospective analysis was made on 122 patients suspected to be breast cancer in the General Hospital of Ningxia Medical University from September 2020 to March 2022.According to whether there was axillary lymph node metastasis,all subjects were divided into 57 patients in the metastasis group and 65 patients in the non-metastasis group.All lesions were pathologically confirmed by surgery.The two groups received synthesis of magnetic resonance imaging(syMRI),dynamic contrast enhancement magnetic resonance imaging(DCE-MRI)and diffusion weighted imaging(DWI)scans.The syMRI parameters[including T1,T2,proton density(PD)],DCE-MRI time signal intensity curve,apparent diffusion coefficient(ADC)value of breast lesions were measured.Compared the difference of parameters between the two groups,and screened the independent risk factors of invasive breast cancer with axillary lymph node metastasis.Results Logistic regression results showed that Ki-67(OR=2.971,95%CI 1.306-6.762,P=0.009),lesion size(OR=1.652,95%CI 1.067-2.556,P=0.024),ADCratio(OR=1.685,95%CI 1.014-2.801,P=0.044),T2ratio(OR=3.015,95%CI 1.433-6.340,P=0.003),PDratio(OR=2.782,95%CI 1.471-5.262,P=0.002)were independent risk factors for invasive breast cancer with axillary lymph node metastasis.The comparison of the five models showed that the Logistic regression model had the best performance,with the area under curve of 0.729(95%CI 0.621-0.789),the accuracy,specificity and sensitivity were 70.65%,62.79%and 77.55%,respectively.The accuracy of the nomogram model was tested,and C-index=0.844,the accuracy of the nomogram model established was good,cut-off risk was 0.468,and the cut-off score was 143.50,which means that when the total score exceeds 143.50,the risk of axillary lymph node metastasis would be higher than 46.8%.Conclusion Nomogram model has a good predictive ability for invasive breast cancer patients with axillary lymph node metastasis.