Sophocarpine exert protective effect against ox-LDL-induced endothelial damage via regulating NF-κB signaling pathway.

Oxidized low-density lipoprotein (ox-LDL) was known to induce endothelial cell injury to the progression of atherosclerosis (AS). Sophocarpine (SPC), a compound of sophora alkaloids isolated from the plant Sophora alopecuroides, has been shown to exhibit various pharmacological activities. This study was designed to investigate the protective effect of SPC on ox-LDL-induced endothelial cells and explored its underlying mechanism. Our results show that SPC pre-incubation ameliorated ox-LDL-mediated HAECs cytotoxicity, DNA fragmentation, and apoptosis in a dose-dependent manner. Moreover, SPC significantly downregulated the mRNA or protein expression level of pro-inflammatory mediators (TGF-ß, IL-6, IL-1ß, TNF-α) and pro-inflammatory vascular adhesion molecules (VCAM-1, ICAM-1, and E-selectin). Mechanistically, SPC pre-treatment downregulated IκBα expression and inhibited translocation of NF-κB in ox-LDL-mediated HAECs, overexpression of NF-κB p65 counteracted the cytoprotective and anti-apoptotic effect of SPC, suggesting that its action is dependent on NF-κB signaling pathway. Collectively, SPC suppresses ox-LDL-induced HAECs injury by inhibiting the NF-κB signaling pathway.

New algorithms for motion error detection of numerical control machine tool by laser tracking measurement on the basis of GPS principle.

As a three-dimensional measuring instrument, the laser tracker is widely used in industrial measurement. To avoid the influence of angle measurement error on the overall measurement accuracy, the multi-station and time-sharing measurement with a laser tracker is introduced on the basis of the global positioning system (GPS) principle in this paper. For the proposed method, how to accurately determine the coordinates of each measuring point by using a large amount of measured data is a critical issue. Taking detecting motion error of a numerical control machine tool, for example, the corresponding measurement algorithms are investigated thoroughly. By establishing the mathematical model of detecting motion error of a machine tool with this method, the analytical algorithm concerning on base station calibration and measuring point determination is deduced without selecting the initial iterative value in calculation. However, when the motion area of the machine tool is in a 2D plane, the coefficient matrix of base station calibration is singular, which generates a distortion result. In order to overcome the limitation of the original algorithm, an improved analytical algorithm is also derived. Meanwhile, the calibration accuracy of the base station with the improved algorithm is compared with that with the original analytical algorithm and some iterative algorithms, such as the Gauss-Newton algorithm and Levenberg-Marquardt algorithm. The experiment further verifies the feasibility and effectiveness of the improved algorithm. In addition, the different motion areas of the machine tool have certain influence on the calibration accuracy of the base station, and the corresponding influence of measurement error on the calibration result of the base station depending on the condition number of coefficient matrix are analyzed.

[Comparison of Coptidis Rhizoma processed with different ginger juice based on metabolomics].

To investigate the effects of two different ginger juices on the medicinal properties of Coptidis Rhizoma(CR) by using UPLC-MS-TOF. The rats were fed with decoction of raw CR (RCR), CR processed with ginger juice from fresh ginger(CRGJFG), CR processed with ginger juice from Zinger (CRGJZ), ginger juice from fresh ginger (GJFG) and ginger juice from Zinger (GJZ), and then their urine was collected at different time points for metabolomics analysis. PeakviewTM 1.7 software was applied to analyze the total ion current under positive ion mode; MarkerviewTM 2.0 software was applied for principal component analysis (PCA). The possible biomarkers were screened and their content changes were described according to the searching results in Scifinder and Chemspider databases and related literature reports. The results showed that CR processed with different ginger juice would produce different effects on energy metabolism. Nine possible biomarkers relating to medicinal properties were found as sarcosine, hippuric acid, creatinine, kynurenine, tyrosine, L-tryptophan, nicotinic acid, arachidonic acid and L-proline. L-tryptophan, kynurenine and nicotinic acid were involved in the metabolism of tryptophan; sarcosine, creatinine, L-proline and tyrosine were involved in arginine and proline metabolism; the content of arachidonic acid in urine, precursor of leukotrienes B4, from high to low were CRGJZ, CRGJFG and RCR. The contents of all biomarkers in GJZ group were higher than those in GJFG group, indicating the cold nature of CR was gradually decreased in the following order： RCR, CRGJZ and CRGJFG, and resulting in different anti-inflammatory effects of samples. The results were in consistent with the conclusion that GJFG had hot nature and GJZ had warm nature. The study provided the scientific basis for proper use of different ginger juice as processing assistants.