Eucommiae Cortex, the dried bark of Eucommia ulmoides( Eucommiaceae), has both medicinal and edible values.Modern research has shown that Eucommiae Cortex contains various components such as flavonoids, lignans, iridoids, phenolic acids,terpenoids, and steroids, which have anti-osteoporosis, antioxidant, anti-inflammatory, blood glucose-lowering, and gastrointestinal tract-protecting effects. Eucommiae Cortex has applications in multiple fields such as healthcare, industry, and animal husbandry,demonstrating broad development prospects. This article reviews the chemical constituents, pharmacological effects, and quality control status of Eucommiae Cortex. Furthermore, according to the concept of quality marker(Q-marker), this article predicts the Q-markers of Eucommiae Cortex from traditional medicinal properties, traditional medicinal effects, new medicinal effects, measurability of chemical components, compatibility, harvesting periods, and geographical origins. The components such as pinoresinol diglucoside,chlorogenic acid, caffeic acid, quercetin, baicalein, baicalin, olivil, coniferyl ferulate, and kaempferol can be used as Q-markers for Eucommiae Cortex, which provide reference for establishing a systematic quality control system for Eucommiae Cortex.
Eucommiaceae/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Quality Control ; Humans ; Animals

Objective:To assess the attitudes toward and factors influencing starting insulin use among community-based patients with type 2 diabetes (T2D).Methods:A cross- sectional study. This secondary analysis used baseline data from patients with T2D recruited through convenience sampling from a community-based peer support intervention study implemented in nine community health service centers in Shanghai since 2017. Attitudes toward insulin use were assessed using the Chinese Attitudes to Starting Insulin Questionnaire (Ch-ASIQ); the higher the score, the more negative the attitude toward starting insulin use. Multiple linear regression was used to analyze the factors influencing attitudes toward starting insulin use.Results:A total of 336 patients with T2D were included in the survey. The patients had a mean age of (67.7±7.9) years, mean disease duration of (13.62±7.73) years, relatively low levels of depression [Patient Health Questionnaire 8 (PHQ-8): 2 (0, 5)] and diabetes distress [Diabetes Distress Scale 4 (DDS-4): 1.97±0.95], and suboptimal target achieving rates of risk factors including body mass index, blood pressure, blood glucose, and lipid levels. The total score on the Ch-ASIQ among all patients was 1.84±0.55. Multivariate analyses showed that refusing insulin use was positively significantly associated with higher scores on the Ch-ASIQ and the three sub-dimensions of "Factors promoting self-efficacy," "Fear of pain or needles," and "Time and family support" [ β (95% CI): 0.515 (0.355-0.674), 0.728 (0.470-0.986), 0.273 (0.030-0.515), 0.909 (0.606-1.213), all P<0.05]. In addition, disease duration [ β (95% CI):-0.011 (-0.019 to -0.004)] was independently negatively associated with the Ch-ASIQ score. In comparison, age [ β (95% CI): 0.011 (0.003-0.018)], DDS-4 [0.129 (0.069-0.190)], and PHQ-8 [0.015 (0.000-0.029)] were independently positively associated with the Ch-ASIQ score (all P<0.05). There were slight differences in the factors influencing the four sub-dimensions of the Ch-ASIQ scale. Conclusions:Community-based patients with T2D had moderate negative attitudes toward starting insulin treatment. Refusing insulin use, shorter diabetes duration, older age, higher diabetes distress, and higher levels of depression were associated with higher negative attitudes towards starting insulin use.

Objective:To assess the attitudes toward and factors influencing starting insulin use among community-based patients with type 2 diabetes (T2D).Methods:A cross- sectional study. This secondary analysis used baseline data from patients with T2D recruited through convenience sampling from a community-based peer support intervention study implemented in nine community health service centers in Shanghai since 2017. Attitudes toward insulin use were assessed using the Chinese Attitudes to Starting Insulin Questionnaire (Ch-ASIQ); the higher the score, the more negative the attitude toward starting insulin use. Multiple linear regression was used to analyze the factors influencing attitudes toward starting insulin use.Results:A total of 336 patients with T2D were included in the survey. The patients had a mean age of (67.7±7.9) years, mean disease duration of (13.62±7.73) years, relatively low levels of depression [Patient Health Questionnaire 8 (PHQ-8): 2 (0, 5)] and diabetes distress [Diabetes Distress Scale 4 (DDS-4): 1.97±0.95], and suboptimal target achieving rates of risk factors including body mass index, blood pressure, blood glucose, and lipid levels. The total score on the Ch-ASIQ among all patients was 1.84±0.55. Multivariate analyses showed that refusing insulin use was positively significantly associated with higher scores on the Ch-ASIQ and the three sub-dimensions of "Factors promoting self-efficacy," "Fear of pain or needles," and "Time and family support" [ β (95% CI): 0.515 (0.355-0.674), 0.728 (0.470-0.986), 0.273 (0.030-0.515), 0.909 (0.606-1.213), all P<0.05]. In addition, disease duration [ β (95% CI):-0.011 (-0.019 to -0.004)] was independently negatively associated with the Ch-ASIQ score. In comparison, age [ β (95% CI): 0.011 (0.003-0.018)], DDS-4 [0.129 (0.069-0.190)], and PHQ-8 [0.015 (0.000-0.029)] were independently positively associated with the Ch-ASIQ score (all P<0.05). There were slight differences in the factors influencing the four sub-dimensions of the Ch-ASIQ scale. Conclusions:Community-based patients with T2D had moderate negative attitudes toward starting insulin treatment. Refusing insulin use, shorter diabetes duration, older age, higher diabetes distress, and higher levels of depression were associated with higher negative attitudes towards starting insulin use.

Objective:To analyze the clinical characteristics and all-cause mortality influencing factors of patients with Keshan disease.Methods:Clinical data of patients with Keshan disease from Keshan disease areas in Sichuan Province and Yunnan Province were collected and retrospectively analyzed for clinical characteristics and survival status during regular follow-up. According to the survival status of patients, the survey subjects were divided into a survival group and a death group. All-cause mortality (referring to the death caused by various reasons throughout the follow-up period) was used as the study endpoint. Kaplan-Meier (K-M) survival curve analysis and log-rank χ 2 test were performed, univariate and multivariate Cox regression analysis were used for all-cause mortality factor analysis. Results:A total of 176 patients with Keshan disease were collected, including 92 cases in Sichuan Province and 84 cases in Yunnan Province. Among all the patients, there were 105 males, accounting for 59.66%, and 71 females, accounting for 40.34%. The age was (53.89 ± 13.19) years old. Thirty-five cases died from all causes, with a mortality rate of 19.89%. There were significant differences in age ( t = 2.09, P = 0.038), New York Heart Association (NYHA) cardiac function grading (χ 2 = 14.62, P < 0.001) and ventricular premature contraction (χ 2 = 6.82, P = 0.009) between the survival group and the death group. K-M survival curve analysis showed that patients with Keshan disease complicated by premature ventricular contraction and high NYHA cardiac function grading (Ⅲ and Ⅳ) had higher all-cause mortality (log-rank χ 2 = 8.72, 22.49, P < 0.05). Univariate Cox regression analysis showed that NYHA cardiac function grading and ventricular premature contraction ( HR = 3.09, 2.71, P < 0.05) were predictive influencing factors for all-cause mortality in patients with Keshan disease. Multivariate Cox regression analysis showed that NYHA cardiac function grading ( HR = 6.57, P = 0.002) and ventricular premature contraction ( HR = 2.98, P = 0.050) were independent factors for all-cause mortality in patients with Keshan disease. Conclusions:Among 176 patients with Keshan disease, the number of patients with poor cardiac function (NYHA cardiac function grading Ⅲ and Ⅳ) and arrhythmia is high. NYHA cardiac function grading and ventricular premature contractions are independent influencing factors for all-cause mortality in patients with Keshan disease.

Pharmacokinetics of traditional Chinese medicine(TCM)is a discipline that adopts pharmacokinetic research methods and techniques under the guidance of TCM theories to elucidate the dynamic changes in the absorption,distribution,metabolism and excretion of active ingredients,active sites,single-flavour Chinese medicinal and compounded formulas of TCM in vivo.However,the sources and components of TCM are complex,and the pharmacodynamic substances and mechanisms of action of the majority of TCM are not yet clear,so the pharmacokinetic study of TCM is later than that of chemical medicines,and is far more complex than that of chemical medicines,and its development also confronts with challenges.The pharmacokinetic study of TCM originated in the 1950s and has experienced more than 70 years of development from the initial in vivo study of a single active ingredient,to the pharmacokinetic and pharmacodynamic study of active ingredients,to the pharmacokinetic study of compound and multi-component of Chinese medicine.In recent years,with the help of advanced extraction,separation and analysis technologies,gene-editing animals and cell models,multi-omics technologies,protein purification and structure analysis technologies,and artificial intelligence,etc.,the pharmacokinetics of TCM has been substantially applied in revealing and elucidating the pharmacodynamic substances and mechanisms of action of Chinese medicines,research and development of new drugs of TCM,scientific and technological upgrading of large varieties of Chinese patent medicines,as well as guiding the rational use of medicines in clinics.Pharmacokinetic studies of TCM have made remarkable breakthroughs and significant development in theory,methodology,technology and application.In this paper,the history of the development of pharmacokinetics of TCM and the progress of cutting-edge research was reviewed,with the aim of providing ideas and references for the pharmacokinetics of TCM and related research.

Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.

Background::Bladder cancer, characterized by a high potential of tumor recurrence, has high lifelong monitoring and treatment costs. To date, tumor cells with intrinsic softness have been identified to function as cancer stem cells in several cancer types. Nonetheless, the existence of soft tumor cells in bladder tumors remains elusive. Thus, our study aimed to develop a microbarrier microfluidic chip to efficiently isolate deformable tumor cells from distinct types of bladder cancer cells.Methods::The stiffness of bladder cancer cells was determined by atomic force microscopy (AFM). The modified microfluidic chip was utilized to separate soft cells, and the 3D Matrigel culture system was to maintain the softness of tumor cells. Expression patterns of integrin β8 (ITGB8), protein kinase B (AKT), and mammalian target of rapamycin (mTOR) were determined by Western blotting. Double immunostaining was conducted to examine the interaction between F-actin and tripartite motif containing 59 (TRIM59). The stem-cell-like characteristics of soft cells were explored by colony formation assay and in vivo studies upon xenografted tumor models. Results::Using our newly designed microfluidic approach, we identified a small fraction of soft tumor cells in bladder cancer cells. More importantly, the existence of soft tumor cells was confirmed in clinical human bladder cancer specimens, in which the number of soft tumor cells was associated with tumor relapse. Furthermore, we demonstrated that the biomechanical stimuli arising from 3D Matrigel activated the F-actin/ITGB8/TRIM59/AKT/mTOR/glycolysis pathways to enhance the softness and tumorigenic capacity of tumor cells. Simultaneously, we detected a remarkable up-regulation in ITGB8, TRIM59, and phospho-AKT in clinical bladder recurrent tumors compared with their non-recurrent counterparts.Conclusions::The ITGB8/TRIM59/AKT/mTOR/glycolysis axis plays a crucial role in modulating tumor softness and stemness. Meanwhile, the soft tumor cells become more sensitive to chemotherapy after stiffening, that offers new insights for hampering tumor progression and recurrence.

Objective To design a portable intelligent cleaner for medical lumen instruments to enhance cleaning efficiency.Methods The portable intelligent cleaner had a box-body shape and a shell made of 304 stainless steel,which was composed of a circuit control board,a micro pump,lithium batteries,a charging interface,a rinse tube and connectors.The circuit control board used a STM32G030C8T6 integraged circuit,which was equipped with a countdown digital tube to display the time left for cleaning;the micro pump and lithium batteries were placed at the inner wall of the box bottom,the charging interface and water inlet/outlet inteface were put on the outside of the front wall of the box bottom,the water inlet/outlet interface was connected with a silicon rinse tube linked to an adapter at its distal end,and the adapters with different calibers were compatible with sizes of medical lumen instruments.Totally 9 672 pieces of lumen instruments received by some hospital's disinfection supply center from May to October 2021 were divided into 2 groups with the convenience sampling method,with 4 836 pieces in each group.The odd-numbered instruments were enrolled into a control group and cleaned with an ultrasonic cleaner and a lumen brush,and the even-numbered instruments were included into an experimental group and cleaned conventionally after pretreatment by the intelligent cleaner.The two groups were compared in terms of eaning efficiency and satisfaction.Results Testing by visual inspection,magnifying glass with light source and white stripe method showed that the experimental group behaved better than the control group in the cleaning qualification rate,whose satisfaction rate(100％)was also higher than that of the control group(86.53％),with all the differences being statistically significant(P＜0.05).Conclusion The portable cleaner with easy operation enhances the cleaning quality and efficiency for medical lumen instruments.[Chinese Medical Equipment Journal,2024,45(10):114-117]

In Zherong county, Fujian province, the black spot of Pseudostellaria heterophylla often breaks out in the rainy season from April to June every year. As one of the main leaf diseases of P. heterophylla, black spot seriously affects the yield and quality of the medicinal material. To identify and characterize the pathogens causing black spot, we isolated the pathogens, identified them as a species of Alternaria according to Koch's postulates, and then tested their pathogenicity and biological characteristics. The results showed that the pathogens causing P. heterophylla black spot were A. gaisen, as evidenced by the similar colony morphology, spore characteristics, sporulation phenotype, and the same clade with A. gaisen on the phylogenetic tree(the maximum likelihood support rate of 100% and the Bayesian posterior probability of 1.00) built based on the tandem sequences of ITS, tef1, gapdh, endoPG, Alta1, OPA10-2, and KOG1077. The optimum conditions for mycelial growth of the pathogen were 25 ℃, pH 5-8, and 24 h dark culture. The lethal conditions for mycelia and spores were both treatment at 50 ℃ for 10 min. We reported for the first time the A. gaisen-caused black spot of P. heterophylla. The results could provide a theoretical basis for the diagnosis and control of P. heterophylla leaf spot diseases.
Bayes Theorem ; Phylogeny ; Caryophyllaceae ; Alternaria ; Mycelium

Objective:To evaluate the effects of quality improvement (QI) program on the incidence of bronchopulmonary dysplasia (BPD) in very preterm infants (VPIs) [gestational age (GA)<32 weeks].Methods:From July to December 2017,VPIs admitted to the Department of Neonatology of Yancheng Maternity and Child Health Care Hospital were retrospectively enrolled and were assigned into pre-quality improvement program group (Pre-QI group).From July to December 2018, VPIs were assigned into post-quality improvement program group (Post-QI group). QI program included delayed umbilical cord clamping (DCC), early postnatal nasal continuous positive airway pressure ventilation (nCPAP) and minimally invasive pulmonary surfactant therapy (MIST). The clinical data and prognostic indicators of the two groups of VPIs and their mothers were compared. Independent sample t-test or continuity-adjusted Chi-square test (or Fisher's exact test) and Logistic regression were used for statistical analysis. Results:A total of 204 VPIs were enrolled, including 96 cases in Pre-QI group and 108 cases in Post-QI group. 1 min Apgar score and hematocrit on admission to the neonatal intensive care unit (NICU) in the Post-QI group were significantly higher than the Pre-QI group( P<0.05). The incidence of delivery room resuscitation, endotracheal intubation at birth and endotracheal intubation in NICU in the Post-QI group were significantly lower than the Pre-QI group( P<0.05). The application of pulmonary surfactant and mechanical ventilation, the incidence of neonatal respiratory distress syndrome and BPD in the Post-QI group were lower than the Pre-QI group ( P<0.05). After adjusting for confounding factors, Logistic regression analysis showed that DCC ( aOR=0.261,95% CI 0.091~0.718, P=0.023), nCPAP ( aOR=0.284,95% CI 0.123~0.667, P=0.015), MIST ( aOR=0.276,95% CI 0.114~0.627, P=0.011) were protective factors of BPD, and MV ( aOR=2.023,95% CI 1.048~3.918, P=0.036) was risk factor of BPD. Conclusions:The QI program consisting of DCC, early nCPAP and MIST for VPIs can reduce the incidence of BPD.