Frontiers in Pharmacology
·
2022
·
IF 5.988
Jie Du,Xiaodong Chen,Yongshun Zhao,Tingting Zhao,Dalong Wang,Zujia Chen,Changyuan Wang,Qiang Meng,Jialin Yao,Huijun Sun,Kexin Liu,Jingjing Wu
CYP46A1 is a brain-specific enzyme responsible for cholesterol homeostasis. Inhibition of CYP46A1 activity serves as a therapeutic target for excitatory neurotoxicity. Sesame is a common medicine and food resource; its component lignans possess various pharmacological activities. In this study, the inhibitory effects of sesame lignans on CYP46A1 activity were investigated. Inhibition kinetics analyses revealed that sesamin and sesamolin produce mixed partial competitive inhibition of CYP46A1, while sesamol produces non-competitive inhibition. Notably, molecular simulations revealed that the sesame lignans have excellent orientations within the active cavity of CYP46A1. Importantly, the sesame lignans had high permeability coefficients and low efflux ratios. Furthermore, sesamin significantly reduced the levels of 24S-hydroxycholesterol in rat plasma and brain tissues, and down-regulated the protein expressions of CYP46A1, NMDAR2A, NMDAR2B, and HMGCR. Collectively, sesame lignans exhibit significant inhibitory effects on CYP46A1 activity, highlighting their potential therapeutic role in treating excitatory neurotoxicity.
✓ 已验证
产品关联
DOI
PubMed
高影响因子
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
·
2021
·
IF 4.556
Liumin Huang,Jun Li,Yanlan Bi,Yanhui Xu,Yanmei Wang,Jian Wang,Dan Peng
A simple and fast normal-phase high performance liquid chromatography method for simultaneous detection of α-tocopherol, β-tocopherol, γ-tocopherol, δ-tocopherol, sesamin, sesamolin, sesamol, and asarinin in sesame oil (SO) was investigated. Conditions were a silica gel column as the separation unit, n -hexane and tetrahydrofuran (93:7, v/v) as the mobile phase, isocratic elution, a flow rate of 0.8 mL/min, column temperature of 30 °C, and florescence detector with excitation and emission wavelengths of 295 and 330 nm. SO samples were directly dissolved in n -hexane for HPLC analysis. Results showed that the method performed wide linear ranges and good linearity (0.27–100.0 μg/mL, R 2 > 0.9996), low limits of detection (0.09–0.16 μg/mL) and quantification (0.27–0.41 μg/mL), good precision and accuracy (biases of <2.83 % and relative standard deviations of <3.77 %), good separation performance [resolution factor (1.66–6.20), separation factor (1.11–3.94), retention factor (1.08–1.42), and height of theoretical plates (0.01–0.04 mm)], and satisfactory recoveries (87.3–109.8 % for SO and 96.5–106.9 % for lard). The method was successfully applied for the simultaneous determination of the eight analytes in eleven SO samples.
✓ 已验证
产品关联
DOI
高影响因子
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
·
2020
·Vol. 101
·期 9
·3605-3612
·
IF 2.614
Lipeng Han,Jiahui Li,Shujie Wang,Weiwei Cheng,Lukai Ma,Guoqin Liu,Dongxue Han,Li Niu
BACKGROUND Glycidyl esters (GEs) have attracted worldwide attention for their potential harm to human health. The GEs in edible oils mainly form during the deodorization of the oil refining processes. We used sesamol and sesamolin to inhibit the formation of GEs in model corn oil (MCO), model palm oil (MPO) and model rice bran oil (MRO) during a deodorization process. RESULTS The results showed that, in the three model oils, the total GE content was in the following order from highest to lowest: MRO (1437.98 μg kg −1 ) > MPO (388.64 μg kg −1 ) > MCO (314.81 μg kg −1 ). The inhibitory effect of the three antioxidants on the formation of GEs in the MCO was in the following order from strongest to weakest: tert-butylhydroquinone (TBHQ) > sesamol > sesamolin. CONCLUSION When the mass percentage of sesamol was 0.05%, its inhibition percentage on GEs was close to the inhibition percentage of 0.02% added TBHQ. The present study provides a foundation for understanding how to inhibit the formation of GEs in oils by adding sesamol during the deodorization process.
✓ 已验证
产品关联
DOI
PubMed
高影响因子
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
·
2019
·
IF 2.994
Yan Liu,Zhenzhen Xia,Liyun Yao,Yang Wu,Yan Li,Shan Zeng,Hao Li
Near-infrared spectroscopy (NIRS) combined with chemometric methods were used to discriminate the sesame oils from different Chinese provinces and determinate the lignans (sesamin and sesamolin) in these sesame oils. The geographic discriminant model was constructed by principal component analysis (PCA) combining with linear discriminant analysis (LDA), and the quantitative analysis models of lignans were built using partial least squares (PLS) regression. Multiplicative scatter correction (MSC) and competitive adaptive reweighted sampling (CARS) were adopted to optimize the regression models. It was found that the discriminant model could recognize the sesame oils from different Chinese provinces correctly, and the contents of sesamin and sesamolin calculated from the optimized models and high-performance liquid chromatography (HPLC) analysis are rather close. Reasonable results proved the feasibility of near-infrared spectroscopy (NIRS) combined with chemometric methods for geographic origin of sesame oils and quantitate analysis of lignans in sesame oils.
✓ 已验证
产品关联
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2019
·
IF 2.931
Zhenzhen Xia,Tian Yi,Yan Liu
Sesame was one of the most important crops in Africa and east Asia. The sesamin and sesamolin in sesames have shown various pharmacological, biological and physiologic activities. In this study, a rapid and nondestructive method for determination of sesamin and sesamolin in Chinese sesames by near-infrared spectroscopy coupled with chemometric method was proposed. The near infrared spectra of sesame samples from three different Chinese areas were collected and the partial least squares (PLS) was used to construct the quantitative models. The spectral preprocessing and variable selection methods were adopted to improve the predictability and stability of the model. Reasonable quantitative results can be obtained when the samples used for model construction and prediction were harvested in same years. For sesamin and sesamolin, the correlation coefficient (R) and root mean square error prediction (RMSEP) were 0.9754, 0.9636 and 151.2951, 39.7720, respectively. The optimized models seem less effective when they were used to predict the samples harvested in other years or countries. However, acceptable results can still be obtained.
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）