The development and application of a novel reagent for fixing red blood cells with glutaraldehyde and paraformaldehyde.

OBJECTIVE: The currently employed red blood cell reagents have a short shelf life. Some hospitals with a small number of specimens will be unable to utilize them within the validity period, resulting in a substantial increase in the purchase price. Therefore, the method of developing long-term red blood cell reagents is a problem worthy of further study. METHODS: In this experiment, the type and concentration of the red blood cell reagent treatment solution were evaluated based on the red blood cell antigen concentration 24 h after treatment. In addition, the qualified glutaraldehyde/paraformaldehyde reagent was stored for six months, and five red blood cell indices were measured every month. At the same time, the detection indices of treated red blood cell reagents and untreated red blood cell reagents were compared. RESULTS: It was discovered that treated red blood cells containing 0.005% GA and 0.05% PFA were more suitable for the preservation of red blood cells than other treated concentrations, and the preservation time could reach six months. The test tube method (n = 24) and microcolumn gel card (n = 35) were used to determine the accuracy of the treated blood cells containing 0.005% glutaraldehyde +0.05% paraformaldehyde, with an accuracy of 100%. CONCLUSION: This experiment resulted in the development of a novel reagent for treating red blood cells with glutaraldehyde/paraformaldehyde fixed solution that can effectively prolong its storage time by two to three times that of red blood cell reagents currently on the market.

Intelligent Logistics System Design and Supply Chain Management under Edge Computing and Internet of Things.

In order to carry out practical innovation of the intelligent logistics system and promote the practicality of the intelligent logistics system and supply chain management process, this study aims to optimize the design of the intelligent logistics system and supply chain management under edge computing (EC) and the Internet of Things (IoT). The flower pollination algorithm performs the positioning function in the intelligent logistics system and supply chain management. Based on the research on the design of the intelligent logistics system and supply chain management under the EC and IoT, this thesis analyzes the positioning of intelligent logistics systems and supply chain management through the flower pollination algorithm. The eXtreme Gradient Boosting (XGBoost) model is used to predict user information in the system of supply chain management information. Finally, the operation of intelligent logistics and supply chain management systems, the prediction model of supply chain management under XGBoost, and the change of supply chain management and material flow are analyzed. The results show that with the increase in the number of iterations, the optimized algorithm improves the comparison distance error by 53.57%, which has high accuracy and can meet the requirements of positioning and tracking of the intelligent logistics system and logistics status query in supply chain management. The waiting time of the intelligent logistics system is shorter than that of the supply chain management system, and the average waiting time of the system increases by 121.252 ms. The XGBoost model can well predict user information under supply chain management. After discussing the changes of the intelligent logistics system from 2018 to 2020, it is found that the operation efficiency of the supply management system is higher with the increase of the system operation days. The intelligent logistics system has a significant impact on the development of the logistics industry. This research gives a reference for establishing the intelligent logistics system and supply chain management system.

Crosstalk between CYP2E1 and PPARα substrates and agonists modulate adipose browning and obesity.

Although the functions of metabolic enzymes and nuclear receptors in controlling physiological homeostasis have been established, their crosstalk in modulating metabolic disease has not been explored. Genetic ablation of the xenobiotic-metabolizing cytochrome P450 enzyme CYP2E1 in mice markedly induced adipose browning and increased energy expenditure to improve obesity. CYP2E1 deficiency activated the expression of hepatic peroxisome proliferator-activated receptor alpha (PPARα) target genes, including fibroblast growth factor (FGF) 21, that upon release from the liver, enhanced adipose browning and energy expenditure to decrease obesity. Nineteen metabolites were increased in Cyp2e1-null mice as revealed by global untargeted metabolomics, among which four compounds, lysophosphatidylcholine and three polyunsaturated fatty acids were found to be directly metabolized by CYP2E1 and to serve as PPARα agonists, thus explaining how CYP2E1 deficiency causes hepatic PPARα activation through increasing cellular levels of endogenous PPARα agonists. Translationally, a CYP2E1 inhibitor was found to activate the PPARα-FGF21-beige adipose axis and decrease obesity in wild-type mice, but not in liver-specific Ppara-null mice. The present results establish a metabolic crosstalk between PPARα and CYP2E1 that supports the potential for a novel anti-obesity strategy of activating adipose tissue browning by targeting the CYP2E1 to modulate endogenous metabolites beyond its canonical role in xenobiotic-metabolism.

Metabolic Profiling of Nuciferine In Vivo and In Vitro.

Nuciferine (NF) is one of the main constituents of Lotus (Nelumbo nucifera) leaves which have been widely used in both food and drug formulations in China. Although possessing a broad spectrum of bioactivities, the metabolic characteristics of NF are inadequately unknown after oral gavage with this NF. The present study was performed to characterize its metabolism in vivo and in vitro. After NF oral gavage with mice, a total of 55 metabolites, containing 14 novel phase I metabolites and 18 novel phase II metabolites, were identified with high-resolution mass spectrometry-based metabolomics. Recombinant enzyme screenings showed that multiple cytochrome P450s, two UDP-glucuronosyltransferases (UGT1A4, UGT1A9), and several sulfotransferases (SULTs) participated in the metabolism of NF. In silico prediction and molecular docking of NF to the polymorphic enzymes (CYPs) provided additional support for the above experiments. This research details metabolic characteristics and provides an important reference basis for further application of NF.

Systematic analysis of the metabolites of Angelicae Pubescentis Radix by UPLC-Q-TOF-MS combined with metabonomics approaches after oral administration to rats.

Angelicae Pubescentis Radix (APR) is a typical Traditional Chinese Medicine (TCM) and has been widely used to treat rheumatism and headache diseases in China. This research aimed to illustrate the metabolites of APR in vivo to lay a foundation for the clinics application. A UPLC-Q-TOF-MS method combined with metabonomics approaches is used to address this objective. The separation was achieved on an Agilent SB-C18 column (1.8 µm, 2.1 × 50 mm) with a gradient elution system (ACN and 0.1 % formic acid-water). An electrospray ionization (ESI) was used for mass spectrometer and operated in a full-scan mode at m/z 100 - 800. The data were collected in the positive ion mode and analyzed by the Masslynx 4.1 and SIMCA 13.0 software. Furthermore, an orthogonal partial least-squares discriminant analysis (OPLS-DA) using SIMCA 13.0 software was applied to investigate the differences between the blank and drug groups in bio-samples of rats (plasma, urine, feces). Totally 213 compounds including 41 prototype ingredients, 107 phase I and 65 phase II metabolites were detected, according to the MS and MS/MS data. Among them, 134 metabolites are potential new compounds.

Rutaecarpine inhibits KEAP1-NRF2 interaction to activate NRF2 and ameliorate dextran sulfate sodium-induced colitis.

Inflammatory bowel disease (IBD) represents a group of chronic relapsing intestinal disorders. Rutaecarpine (RUT), isolated from the Traditional Chinese Medicine (TCM) of Evodia rutaecarpa, was reported to suppress IBD. However, the mechanism by which RUT ameliorates dextran sulfate sodium (DSS)-induced IBD is largely unknown. By use of nuclear factor-erythroid 2-related factor 2 (NRF2) knockout mice, cell-based studies, surface plasmon resonance (SPR), western blotting analysis, and molecular docking studies, the mechanism by which RUT affects DSS-induced colitis was explored. In DSS-treated wild-type mice but not in Nrf2-null mice, RUT significantly improved colitis as revealed by rescued body weight loss, improved histology and inflammation, and induced expression of NRF2 target genes in colon and ileum. Cell-based studies showed that RUT significantly increased the LD50 for hydrogen peroxide (H2O2)-induced cell damage, activated NRF2 nuclear translocation, and suppressed the production of reactive oxygen species in H2O2-treated HCT116 cells, activated NRF2 luciferase reporter activities in HCT116 cells and HepG2 cells, and induced expression of NRF2 target genes in primary intestinal epithelial cells. Molecular docking in silico and SPR assays indicated that RUT interacted with kelch-like ECH-associated protein 1 (KEAP1), and extracellular incubation studies revealed that RUT bound to the KEAP1 kelch domain with a calculated equilibrium dissociation constant Kd of 19.6 µM. In conclusion, these results demonstrate that RUT ameliorates DSS-induced colitis, dependent on NRF2, and could be a potential therapeutic option for IBD patients. Mechanistically, RUT potentiates NRF2 nuclear translocation to upregulate NRF2-mediated antioxidant response by directly inhibiting KEAP1-NRF2 interaction.

Tissue distribution study of Angelica dahurica cv. Yubaizhi in rat by ultra-performance liquid chromatography with tandem mass spectrometry.

A sensitive and specific ultra-performance liquid chromatographic-tandem mass (UPLC-MS/MS) spectrometric method was established to investigate tissue distribution of fourteen coumarins of Angelica Dahurica cv. Yubaizhi roots (ADYR) in rat tissues, including isoimperatorin (1), imperatorin (2), isooxypeucedanin (3), byakangelicin (4), oxypeucedanin hydrate (5), bergapten (6), 2"R-neobyakangelicol (7), phellopterin (8), xanthotoxin (9), isopimpinellin (10), oxypeucedanin ethanolate (11), isobyakangelicol (12), columbianetin (13), (-)-marmesin (14). Detection was performed on a triple quadrupole mass spectrometer in multiple-reaction-mode (MRM). The method established in this assay was successfully applied to tissue distribution study of the selected 14 coumarins after oral administration of the extract of ADYR in rat tissues, including heart, liver, spleen, lung, kidney, stomach, small intestine, muscle, testis, and brain. Tissue distribution characteristics of the fourteen coumarins were clearly elucidated, and the results of this study indicated that the fourteen coumarins were distributed to rat tissues rapidly and could be detected in all of the selected tissues after oral administration. Concentrations of the coumarins were obviously higher in kidney, liver and stomach tissues, and lower in testis, brain and muscle tissues. As an important part of ADMET/Act. study on ADYR, the tissue distribution of multiple coumarins of ADYR in rats provides a significant basis for better evaluation of the metabolism and disposition process in vivo of the herb medicine. The information provided in this research is very useful for further understanding of the metabolic mechanism of ADYR in vivo.