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OBJECTIVE: To explore the mechanism of Bufei Yishen formula (BYF) on attenuating cigarette smoke extract (CSE)-induced airway mucus hypersecretion by regulating Notch signaling pathway. METHODS: The human airway epithelial cell 16HBE was cultured in vitro, and the cells in logarithmic growth phase were used for the experiments. (1) Intervention condition screening experiment: the 16HBE cells were grouped, methylthiazolyldiphenyl-tetrazolium (MTT) method and enzyme-linked immunosorbent assay (ELISA) were used to detect the effects of different concentrations of CSE (2.5%, 5%, 10%, 20%, 40%), different concentrations of BYF drug-containing serum (5%, 10%, 20%, 40%), and different concentrations of Notch signal pathway blocker DAPT (5, 10, 20, 40 µmol/L) on cell activity and secretion of mucin 5AC (MUC5AC) levels. In addition, a blank control group was set up to screen out the best conditions for preparing CSE-induced cell mucus hypersecretion model and BYF and DAPT intervention. (2) Intervention experiment: the 16HBE cells were divided into four groups. The blank control group was not given any treatment; the 16HBE cells were induced by 10% CSE for 24 hours to prepare mucus hypersecretion model in the CSE model group; the cells in the CSE+BYF group and CSE+DAPT group were given 10% BYF or 20 µmol/L DAPT, respectively, for intervention at the same time for 24 hours. Real-time fluorescent quantitative polymerase chain reaction (qPCR) was used to detect the mRNA expressions of MUC5AC, Notch3 and hairy and enhancer of split 1 (HES1) in the cells. Western blotting was used to detect the protein expressions of Notch3 and HES1 in the cells. RESULTS: (1) Results of the screening experiment of intervention conditions: compared with the blank control group, 10% CSE induction for 24 hours was the best condition for establishing cell mucus hypersecretion model that neither affected cell viability nor increased the secretion of MUC5AC; while 10% BYF and 20 µmol/L DAPT was the optimal intervention condition. (2) Intervention experiment results: compared with the blank control group, the mRNA expressions of MUC5AC, Notch3, and HES1 and the protein expressions of Notch3 and HES1 in the CSE model group were significantly increased, indicating that CSE activated Notch3 and HES1 signal activation and induced 16HBE cells to secrete mucus protein. Compared with the CSE model group, BYF and DAPT could significantly down-regulate the mRNA and protein expressions of MUC5AC, Notch3, and HES1 in cells [MUC5AC mRNA (2-ΔΔCT): 1.03±0.13, 0.96±0.05 vs. 1.35±0.07, Notch3 mRNA (2-ΔΔCT): 1.10±0.14, 1.10±0.02 vs. 1.31±0.15, HES1 mRNA (2-ΔΔCT): 1.26±0.10, 1.14±0.15 vs. 1.45±0.08, Notch3 protein (Notch3/GAPDH): 0.10±0.03, 0.16±0.03 vs. 0.31±0.09, HES1 protein (HES1/GAPDH): 0.37±0.06, 0.34±0.08 vs. 0.50±0.05, all P < 0.05]. CONCLUSIONS: The mechanism of BYF attenuating mucus hypersecretion of 16HBE cells induced by CSE was associated with the inhibition of Notch signaling pathway activation.
Assuntos
Fumar Cigarros , Medicamentos de Ervas Chinesas , Humanos , Muco/metabolismo , Inibidores da Agregação Plaquetária/metabolismo , RNA Mensageiro/metabolismo , Transdução de SinaisRESUMO
Effective compound combination (ECC; i.e, 20-S-ginsenoside Rh1, astragaloside, icariin, nobiletin, and paeonol), derived from Chinese herbal medicine, significantly ameliorates chronic obstructive pulmonary disease (COPD) in rats; however, the underlying mechanisms of ECC remain largely unclear. In this study, network pharmacology analysis integrated with experimental validation was used to explore the therapeutic mechanisms of ECC against COPD. ECC targets and COPD genes and targets were identified from multiple databases, and then used for an analysis of protein-protein interaction (PPI) networks, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and biological functioning. BisoGenet was used to comprehensively analyze the hub-network. We validated the therapeutic effect and mechanisms of ECC both in vivo and in vitro. We identified 45 ECC targets, which were mainly related to inflammatory processes, such as the NOD-like and NF-kappa B signaling pathways, hematopoietic cell lineage, Th17 cell differentiation, cellular response to lipopolysaccharide, and interleukin-8 secretion. In addition, 1180 COPD genes and 70 COPD targets were identified as being involved in the biological functions associated with COPD development, such as cytokine-cytokine receptor interaction, the TNF signaling pathway, the mitogen-activated protein kinase (MAPK) signaling pathway, regulation of lymphocyte proliferation, and positive regulation of leukocyte migration. Integrative analysis of COPD genes and targets and ECC target networks revealed that 54 genes were mainly involved in the inflammatory process, such as IL-17 signaling, NF-kappa B signaling, innate immune response-activating signal transduction, and macrophage cell differentiation. Six targets (AR, ESR1, HNRNPA1, PAPR1, TP53, and VCAM1) contained in the hub-network and their four related compounds were obtained and recognized as the key molecules associated with the effects of ECC. Molecular docking validation demonstrated that four compounds could bind to six targets that interact with COPD genes. Finally, in vivo and in vitro experiments verified that ECC treatment ameliorated the symptoms of COPD in rats by improving their lung function, reducing pathological changes, and suppressing oxidative responses and pro-inflammatory cytokine secretion, while inhibiting inflammation in LPS-induced macrophages, which may be associated with NF-kappa B and MAPK signaling regulation. This study demonstrates the therapeutic mechanisms and effects of ECC on COPD via regulation of the underlying inflammatory process.
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Na+-activated K+ currents (K(Na)) have been reported in multiple neuronal nuclei and the properties of K(Na) vary in different cell types. We have described previously the distribution of Slack, a Na+-activated K+ channel subunit. Another recently cloned Na+-activated K+ channel is Slick, which differs from Slack in its rapid activation and its sensitivity to intracellular ATP levels. We now report the localization of Slick in the rat central nervous system using in situ and immunohistochemical techniques. As for Slack, we find that Slick is widely distributed in the brain. Specifically, strong hybridization signals and immunoreactivity were found in the brainstem, including auditory neurons such as the medial nucleus of the trapezoid body. As has also been shown for Slack, Slick is expressed in the olfactory bulb, red nucleus, facial nucleus, pontine nucleus, oculomotor nucleus, substantia nigra, deep cerebellar nuclei, vestibular nucleus, and the thalamus. Slick mRNA and protein, however, also are found in certain neurons that do not express Slack. These neurons include those of the hippocampal CA1, CA2, and CA3 regions, the dentate gyrus, supraoptic nucleus, hypothalamus, and cortical layers II, III, and V. These data suggest that Slick may function independently of Slack in these regions. Computer simulations indicate that Slick currents can cause adaptation during prolonged stimuli. Such adaptation allows a neuron to respond to high-frequency stimulation with lower-frequency firing that remains temporally locked to individual stimuli, a property seen in many auditory neurons. Although it is not yet known if Slick and Slack subunits heteromultimerize, the existence of two genes that encode K(Na), that are widely expressed in the nervous system, with both overlapping and nonoverlapping distributions, provides the basis for the reported heterogeneity in the properties of K(Na) from various neurons.