[Spatial distribution characteristics of metabolities in rhizome of Paris polyphylla var. yunnanensis: based on MALDI-MSI].

In this study, a method was established for in-situ visualization of metabolite distribution in the rhizome of Paris polyphylla var. yunnanensis. To be specific, through matrix-assisted laser desorption/ionization-mass spectrometry imaging(MALDI-MSI), the spatial locations of steroidal saponins, amino acids, organic acids, phytosterols, phytoecdysones, nucleosides, and esters in rhizome of the medicinal plant were directly analyzed, and six unknown compounds with differential distribution in rhizome tissues were identified.

Azvudine is a thymus-homing anti-SARS-CoV-2 drug effective in treating COVID-19 patients.

Azvudine (FNC) is a nucleoside analog that inhibits HIV-1 RNA-dependent RNA polymerase (RdRp). Recently, we discovered FNC an agent against SARS-CoV-2, and have taken it into Phase III trial for COVID-19 patients. FNC monophosphate analog inhibited SARS-CoV-2 and HCoV-OC43 coronavirus with an EC between 1.

Development a multi-immunoaffinity column LC-MS-MS method for comprehensive investigation of mycotoxins contamination and co-occurrence in traditional Chinese medicinal materials.

Mycotoxins are poisonous secondary fungal toxic metabolites and harmful to human health. Traditional Chinese medicinal materials (TCMs), including more than two hundred functional foods, are vulnerably bred fungi, causing spoilage and multi-mycotoxins contamination. This study established a simultaneous analytical method by using multi-mycotoxins immunoaffinity column (multi-IAC) and HPLC-MS/MS to evaluate mycotoxins' contamination levels and natural incidence in TCMs.

[Effect of 18-β Glycyrrhetinic Acid on the Endoplasmic Reticulum of Nasal Epithelial Cells in Allergic Rhinitis Model Rats].

Objective: To explore the effect of 18-β glycyrrhetinic acid (GA) on the endoplasmic reticulum of nasal epithelial cells in allergic rhinitis (AR) model rats.

Methods: Totally 96 Wistar rats were randomly divided into the blank group, the AR model group, the loratadine group, the GA group, 24 in each group. AR models were established by peritoneally injecting ovalbumin (OVA).

A class-information-based penalized matrix decomposition for identifying plants core genes responding to abiotic stresses.

In terms of making genes expression data more interpretable and comprehensible, there exists a significant superiority on sparse methods. Many sparse methods, such as penalized matrix decomposition (PMD) and sparse principal component analysis (SPCA), have been applied to extract plants core genes. Supervised algorithms, especially the support vector machine-recursive feature elimination (SVM-RFE) method, always have good performance in gene selection.

The behaviors of Microcystis aeruginosa cells and extracellular microcystins during chitosan flocculation and flocs storage processes.

This work aimed to study the effects of chitosan on cell integrity and extracellular microcystins (MCs) of Microcystis aeruginosa cells during flocculation and flocs storage processes. The impacts of chitosan addition, flocculation stirring and flocs storage time were comprehensively detected to prevent or reduce cell lysis and MCs release. Response surface method (RSM) was applied to optimize the chitosan flocculation.

[An investigation of the relationship of inflammatory response and insulin and its components during stress hyperglycemia in critically ill patients].

Objective: To observe the relationship between inflammatory response and the constituents of islet β cell secretion during stress hyperglycemia (SHG) in critically ill patients, in order to study the impact of inflammatory response on insulin resistance and the secretion function of islet β cells.

Methods: According to the state of inflammatory response, 45 critical patients with SHG were divided into two groups: stress and the convalescence period. Twenty five healthy individuals were enrolled as control group.