Study on Medication Rules of Traditional Chinese Medicine in Treating Constipation through Data Mining and Network Pharmacology.

Background: To explore the rules of TCM medication in the treatment of constipation in network pharmacology. Methods: Collect and screen the clinical intervention literature on TCM for constipation from China's national knowledge infrastructure, Wanfang and VIP databases established a database of TCM for constipation, applied R software (3.3.1) to analyze the pattern of prescriptions for TCM for constipation, and summarized the core prescription. The effective active compounds and action targets in the core prescription were screened by Traditional Chinese Medicine Systems Pharmacology (TCMSP) and Traditional Chinese Medicine Integrated Databases (TCMID), constipation-related targets were derived from the DisGeNET and GeneCards databases, Protein-protein interaction network (PPI) was drawn by STRING database, and enrichment analysis was conducted by the Clusterprofiler package in R software (3.3.1). Finally, molecular docking was used to validate the binding ability of candidate compounds to potential targets. Results: Two hundred sixteen target prescriptions were screened through data mining, involving 226 herbs. Association rule analysis results suggested that the "Angelicae sinensis-Radix-dried rehmanniae-Cistanche deserticola-Atractylodes macrocephala-Astragali Radix" was a strong affinity for medicine. Network pharmacology analysis of the core prescription resulted in the screening of 115 candidate compounds, such as quercetin, kaempferol, mangostin, eugenol A, and beta-sitosterol; 131 potential targets, such as PTGS2, PTGS1, and CHRM3; and 160 signaling pathways, such as lipid and atherosclerosis, proteoglycans in cancer, hepatitis B, Kaposi's sarcoma-associated herpesvirus infection, and PI3K/AKT pathways. Molecular docking showed that PTGS1-formononetin, PTGS2-kaempferol, and CHRM3-kaempferol were all well bound and well matched. Conclusions: This study provides a new method and ideas for clinical applications of integrated Chinese and western medicine in treating constipation.

Comparative iTRAQ Proteomics Reveals Multiple Effects of Selenium Yeast on Dairy Cows in Parturition.

The effects of prepartum dietary supplementation with selenium yeast on low abundant plasma proteins in postpartum dairy cows are not known. In this study, 24 healthy parturient dairy cows were divided into two groups (group C, a control group, and group T, a selenium treatment group). Low abundance proteins were extracted from plasma samples of calving cows, and 542 proteins were identified by isobaric tags for relative and absolute quantitation (iTRAQ) proteomic analysis. Dietary supplementation with selenium yeast caused differential abundance of 48 proteins with a fold change of more than 1.2 or less than 0.83 (p < 0.05); 14 proteins were upregulated and 34 were downregulated. The top five gene ontology (GO) enrichment terms for the differentially expressed proteins were protein homotetramerization (or tetramerization), defense response to bacteria or fungus, acute-phase reactions, nucleotide catabolic process, and positive regulation of lipid metabolic process. All proteins involved in acute-phase reactions were downregulated, indicating that selenium ameliorates systemic inflammation. The vast majority of proteins involved in the defense response to microorganisms were downregulated, thereby affecting innate immunity. The decreased abundance of apolipoprotein A-I and apolipoprotein C-II, critical proteins for positive regulation of lipid metabolism, indicated that selenium may optimize lipid metabolism. The iTRAQ results showed that prenatal supplementation with yeast selenium can relieve systemic inflammation after parturition. Moreover, selenium may reduce the effects of metabolic diseases, which can improve glyconeogenesis and prevent ketosis and fatty liver.

[Effects of retinol on expressions of epidermal growth factor, stem cell factor, colony-stimulating factor 1 and leukemia inhibitory factor in human umbilical cord-derived mesenchymal stem cells].

OBJECTIVE: To investigate effects of retinol on the expressions of epidermal growth factor (EGF), stem cell factor (SCF), colony-stimulating factor 1 (CSF1) and leukemia inhibitory factor (LIF) in cultured human umbilical-derived mesenchymal stem cells (UCMSCs). METHODS: Human UCMSCs were isolated from human umbilical cord and identified for immunophenotypes. The cells were then cultured in DMEM/F12 media supplemented with 12% fetal bovine serum (FBS), 12% FBS+1 µmol/L retinol, 15% knockout serum replacement (KSR) and 15% KSR+ 1 µmol/L retinol. The expressions of the cytokines EGF, SCF, CSF1 and LIF in the cells were detected using RT-PCR and ELISA. RESULTS: The isolated cells exhibited characteristic immunophenotypes of human UCMSCs and expressed EGF, CSF1 and SCF at both mRNA and protein levels but not LIF protein. Retinol (1 µmol/L) significantly promoted the expressions of SCF and CSF1 at both mRNA and protein levels but did not result in changes of EGF and LIF expressions in human UCMSCs. CONCLUSION: Retinol at the concentration of 1 µmol/L can promote expression of SCF and CSF1 in human UCMSCs in vitro.