ABSTRACT
Objective : To explore the relationship between blood glucose and arteriosclerosis with cardio-ankle vascular index (CAVI) as the indicator of arteriosclerosis. Methods ¡¤ From 2016 to 2018, a total of 8 547 participants aged 18 years and above who completed physical examinations in the Physical Examination Center of the First Affiliated Hospital of Chongqing Medical University were selected to collect CAVI and other relevant biochemical indicators. Based on fast blood glucose (FBG) and history of diabetes, the subjects were divided into normal blood glucose group and hyperglycemia group. The 1:1 propensity score matching was used to match the gender, age, blood pressure, blood li-pids, and body mass index to balance the covariates between the groups. The matched data were analyzed by Logistic regression and restricted cubic spline (RCS) to explore the relationship and the dose-effect relationship between FBG and CAVI. Results ¡¤ A total of 1 463 pairs com-pleted propensity score matching, and the covariates between the two groups were balanced after matching. Logistic regression analysis showed that hyperglycemia was a risk factor of CAVI (OR=1.63, 95% CI 1.36-1.95). The RCS curve of FBG and CAVI abnormal risk showed an up-ward trend, i.e., as FBG increased, the risk of CAVI abnormalities increased. Conclusion ¡¤ As the fasting blood glucose increases, the risk of arteriosclerosis also increases.
ABSTRACT
The root of Aster tataricus L. f. (RA) has been widely used in the clinic for moistening lung, dispelling phlegm and relieving cough because of its significant therapeutic effects on respiratory diseases. In this study, a systematic data acquisition and mining strategy was established aimed at solving the complexity of the traditional Chinese medicine using ultra high performance liquid chromatography coupled with quadruple time of flight mass spectrometry (UHPLC-Q-TOF-MS). A total of 132 chemical constituents, including 43 terpenes, 31 flavonoids, 22 organic acids, 18 peptides, 9 coumarins, 3 steroids, 3 anthraquinones and 3 aldehydes were identified or tentatively characterized, among which 59 components were confirmed by comparison with the standard references. Meanwhile, the accurate mass measurements of the identified components were all with ±5 ppm error. Therefore, this work provided not only reliable data supports for the comprehensive analysis of the chemical constituents in RA, but also provided an efficient data acquisition and mining strategy to profile the chemical constituents for other traditional Chinese medicine complex system.
ABSTRACT
Atherosclerosis (AS) is a complex metabolic syndrome that seriously harms human health, and its occurrence and development are directly related to the metabolic disturbances of free fatty acids (FFA). In this study, macrophage-derived foam cells were established as the model of early AS. Therefore, the metabolic disturbances of FFA in ox-LDL induced foamy macrophages were analyzed using target metabolomics. Then the effect of hydroxysafflor yellow A (HSYA) on regulating FFA was also explored. The quantitative analysis of 27 fatty acids was obtained within 20 min based on dynamic MRM mode. Thirteen metabolic biomarkers of macrophage-derived foam cells were identified using multivariate statistical analysis. It was found that upregulation of total SFA and downregulation of C12:0, C14:0, C18:1, total MUFA were the typical metabolic features in macrophage-derived foam cells. Furthermore, HSYA displayed obvious repairing effect on C12:0, C14:0 and C18:1, which were involved in de novo fatty acid biosynthesis pathway. Oleoyl-(acyl-carrier-protein) hydrolase (OLAH), as the key enzyme in de novo fatty acid biosynthesis pathway, may be a drug target of HSYA.
ABSTRACT
A method for the simultaneous determination of sixteen mycotoxins in cogon rootstalk was developed using ultra-performance liquid chromatography coupled with triple quadropole mass spectrometry(UPLC-QqQ-MS/MS). The samples were extracted with acetonitrile contained 1% acetic acid and purified by QuEChERS method. The separation was performed on an Agilent Eclipse Plus C₁₈column by gradient elution using methanol and 0.01% aqueous formic acid as mobile phase. The targeted compounds were detected in MRM mode by mass spectrometry with electrospray ionization(ESI)source operated in positive ionization mode. The linear relationships of the sixteen mycotoxins were good in their respective linear ranges. The correlation coefficients(r)ranged among 0.996 2-1.000. The LOQs of the sixteen mycotoxins were between 0.03 and 186.68 μg•kg ⁻¹. The average recoveries ranged from 60.28% to 129.2% with relative standard deviations(RSDs)within 0.29%-11%. The results demonstrated that the proposed method was sensitive and accurate, and suitable for the mycotoxins quantification in cogon rootstalk.