1.Chemical constituents from the stems of Fritillaria unibracteata
Min LI ; Yahui MI ; Haimin KUAI ; Xiaolong HU ; Hao WANG
Journal of China Pharmaceutical University 2025;56(2):160-165
Chemical investigation of the stems of Fritillaria unibracteata P.K. Hsiao & K.C. Hsia resulted in the isolation of nine compounds, by means of silica gel column chromatography, and preparative HPLC. Based on spectroscopic and chemical evidence, these compounds were identified as: 27-hydroxychlorogenone (1), sieboldogenin (2), (3β, 25S)-spirost-5-ene-3,17,27-triol (3), laxogenin (4), tigogenone (5), cerevisterol (6), ergosterol peroxide (7), stigmaterol (8), and β-sitosterol (9). Compound 1 was a new compound, and compounds 2-9 were isolated from the stems of Fritillaria unibracteata for the first time. The inhibitory effects of compounds 1−9 on A549 cells were determined using the MTT method. The results show that compound 6 exhibits moderate inhibitory activity with an IC50 value of (14.16 ± 1.11) μmol/L.
2.Electrocardiographic characteristics and their correlation with indicators of disease severity in patients with chronic pulmonary artery stenosis
Mingjun DENG ; Yahui SUN ; Yao MI ; Kaiyu JIANG ; Aqian WANG ; Hongling SU ; Yunshan CAO
Chinese Journal of General Practitioners 2024;23(2):146-152
Objective:To analyze the electrocardiographic characteristics of patients with chronic pulmonary artery stenosis (PAS), and to explore their relationship with disease severity indicators.Methods:The study was a retrospective case-series analysis. Patients with chronic PAS admitted to Gansu Provincial Hospital from January 2018 to July 2021 were enrolled. The clinical data and the results of electrocardiography, transthoracic echocardiography, right cardiac catheterization, N-terminal B-type natriuretic peptide (NT-proBNP) measurement and 6-min walking distance test of patients were analyzed. The linear regression model or logistic regression model was used to analyze the relationship between electrocardiographic characteristics and the disease severity in patients with chronic PAS.Results:Sixty-three patients aged (62.1±9.7) years including 43 females (68.3%) were enrolled in the study. Among them, 62 patients (98.4%) had (R 1+S Ⅲ)-(S Ⅰ+R Ⅲ)<1.5 mV, and no patients had V 5lead R: S ratio to V 1 lead R: S<0.04 and V 6 lead R: S ratio<0.4. There were 55 patients (87.3%), with flat or inverted T-waves in V 1, and 10 patients (15.9%) with flat or inverted T-waves in all precordial leads (V 1-V 6). There were 18 patients (28.6%) with flat or inverted T-waves in inferior leads (Ⅱ, Ⅲ, aVF). Multiple liner regression analysis showed that Max R V1, 2+Max S I, aVL-S V1 combined with the number of flat or inverted T-waves in limb leads was independently correlated with atrial area ( R2=0.290, P=0.002); R V1+S V5 was independently correlated with right ventricular area ( R2=0.257, P=0.001); R peak V 1 combined with the number of flat or inverted T waves in precordial leads was independently correlated with tricuspid annular plane systolic excursion ( R2=0.407, P<0.001); (R 1+S Ⅲ)-(S Ⅰ+R Ⅲ) combined with the number of flat or inverted T waves in precordial leads was independently correlated with NT-proBNP ( R2=0.504, P<0.001); Max R V1, 2+Max S I, aVL-S V1 were independently correlated with right atrial pressure ( R2=0.803, P=0.036); (R 1+S Ⅲ)-(S Ⅰ+R Ⅲ) were independently correlated with mean pulmonary artery pressure ( R2=0.302, P<0.001); R aVRcombined with the number of flat or inverted T-waves in precordial leads was independently correlated with cardiac index ( R2=0.173, P=0.003); (R 1+S Ⅲ)-(S Ⅰ+R Ⅲ) was independently correlated with pulmonary vascular resistance ( R2=0.173, P=0.002); R peak V 1 combined with the number of flat or inverted T-waves in precordial leads was independently correlated with mixed vein oxygen saturation ( R2=0.302, P<0.001). Conclusion:The vast majority of patients with chronic PAS have (R 1+S Ⅲ)-(S Ⅰ+R Ⅲ)<1.5 mV and flat or inverted T-wave in V 1 lead, and some characteristic electrocardiographic manifestations are correlated with indicators of disease severity.
3.Prospective cohort study of pre-pregnancy sugar-sweetened beverage consumption and risk of gestational diabetes mellitus
Yahui FAN ; Jinping ZHAO ; Lu DING ; Yunjin PAN ; Lintian LI ; Huixin JI ; Jia SHI ; Sijiao LIU ; Zhaoqing LONG ; Tongqiang HE ; Le MA ; Yang MI ; Weiling LI ; Xuelan LI
Journal of Environmental and Occupational Medicine 2023;40(11):1225-1231
Background There is a lack of research evidence on the association between sugar-sweetened beverage (SSB) consumption and gestational diabetes mellitus (GDM) in China. Objective To explore the association between frequency of SSB consumption before pregnancy and risk of GDM in pregnant women in Shaanxi Province, and to provide a scientific basis for targeted interventions to control maternal blood glucose. Methods The recruitment to the China Birth Cohort study started in October 2020. Pregnant women at 6-16 weeks who had their first prenatal examination at five hospitals in Shaanxi Province were recruited. A maternal health questionnaire was used to collect basic information about pregnant women. A semi-quantitative food frequency questionnaire was used to collect the consumption of carbonated beverages, fruit and vegetable juice beverages, coffee beverages, and milk tea beverages in one year before pregnancy, which were summed to obtain the SSB consumption. Pregnant women were divided into three groups according to SSB consumption, namely <1 serving·week−1, 1-4 servings·week−1, and ≥5 servings·week−1. GDM was confirmed by oral glucose tolerance test (OGTT) between 24-28 weeks of gestation. A binary logistic regression model was applied to explore the association between SSB consumption and risk of GDM. Multiple linear regression was applied to investigate the associations between SSB consumption (per 1-serving·d−1 increase) and OGTT fasting plasma glucose, 1-hour glucose, and 2-hour glucose. Results A total of 3811 pregnant women were finally enrolled in this study, of which 752 developed GDM, with an incidence rate of 19.7%. The incidence rates of GDM in pregnant women with SSB consumption frequency of <1 serving·week−1, 1-4 servings·week−1, and ≥5 servings·week−1 were 18.0%, 21.1%, and 26.8%, respectively. After adjusting for maternal age, pre-pregnancy body mass index (BMI), education, number of children born, family history of diabetes, smoking, alcohol consumption, physical activity level, and total energy intake, the risk of GDM increased by 26% (OR=1.26, 95%CI: 1.05, 1.50) in the 1-4 servings·week−1 group and by 76% (OR=1.76, 95%CI: 1.31, 2.38) in the ≥5 servings·week−1 group compared to the <1 serving·week−1 SSB consumption group, respectively. Further stratified analysis revealed no interaction effect (Pinteraction>0.05) between SSB consumption and maternal age, pre-pregnancy BMI, or first labor or not. For each additional SSB consumption per day, the risk of GDM increased by 94% (OR=1.94, 95%CI: 1.37, 2.75); and the maternal OGTT 1-hour glucose and 2-hour glucose increased by 0.33 mmol·L−1 and 0.18 mmol·L−1, respectively (P<0.05), and no significant increase in fasting plasma glucose was found (P>0.05). Conclusion Higher SSB consumption before pregnancy increases the risk of GDM in pregnant women.