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Zhang CH, Xiao Q, Sheng JQ, Liu TT, Cao YQ, Xue YN, Shi M, Cao Z, Zhou LF, Luo XQ, Deng KZ, Chen C. Gegen Qinlian Decoction abates nonalcoholic steatohepatitis associated liver injuries via anti-oxidative stress and anti-inflammatory response involved inhibition of toll-like receptor 4 signaling pathways. Biomed Pharmacother 2020; 126:110076. [PMID: 32169759 DOI: 10.1016/j.biopha.2020.110076] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 03/01/2020] [Accepted: 03/03/2020] [Indexed: 02/07/2023] Open
Abstract
Gegen Qilian Decoction (GGQLD) is a well-established classic Chinese medicine prescription in treating nonalcoholic steatohepatitis (NASH). However, the molecular mechanism of GGQLD action on NASH is still not clear. This study aimed to assess the anti-NASH effect of GGQLD, and to explore its molecular mechanisms in vivo and in vitro. In HFD-fed rats, GGQLD decreased significantly serum triglyceride (TG), cholesterol (CHO), total bile acid (TBA), low-density lipoprotein (LDL), free fatty acid (FFA) and lipopolysaccharide (LPS) levels, increased levels of differentially expressed proteins (DEPs) Ahcy, Gpx1, Mat1a, GNMT, and reduced the expression of ALDOB. In RAW264.7 macrophages, GGQLD reduced the expression levels of inflammatory factors TNF-α and IL-6 mRNA, and diminished NASH by increasing differentially expressed genes (DEGs) CBS, Mat1a, Hnf4α and Pparα to reduce oxidative stress or lipid metabolism. The results of DEGs verification also showed that GGQLD up-regulated expressions of Hnf4α, Pparα and Cbs genes. In HepG2 cells, GGQLD decreased IL-6 levels and intracellular TG content, and inhibited FFA-induced expression of toll-like receptor 4 (TLR4). In summary, GGQLD abates NASH associated liver injuries via anti-oxidative stress and anti-inflammatory response involved inhibition of TLR4 signal pathways. These findings provide new insights into the anti-NASH therapy by GGQLD.
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Affiliation(s)
- Chang-Hua Zhang
- College of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, 330004, PR China
| | - Qin Xiao
- College of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, 330004, PR China
| | - Jun-Qing Sheng
- College of Life Science, Nanchang University, Nanchang, 330031, PR China.
| | - Tong-Tong Liu
- College of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, 330004, PR China
| | - Ying-Qian Cao
- College of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, 330004, PR China
| | - Ya-Nan Xue
- College of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, 330004, PR China
| | - Min Shi
- College of Traditional Chinese Medicine, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, 330004, PR China
| | - Zheng Cao
- College of Traditional Chinese Medicine, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, 330004, PR China
| | - Li-Fen Zhou
- Large Precise Instruments Shared Services Center of TCM, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, 330004, PR China
| | - Xiao-Quan Luo
- Experimental Animal Science and Technology Center of TCM, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi 330004, PR China
| | - Ke-Zhong Deng
- College of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, 330004, PR China
| | - Chen Chen
- School of Biomedical Sciences, University of Queensland, Brisbane, QLD 4072, Australia.
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Miklosi AG, Del Favero G, Marko D, Harkany T, Lubec G. Resolution Matters: Correlating Quantitative Proteomics and Nanoscale-Precision Microscopy for Reconstructing Synapse Identity. Proteomics 2018; 18:e1800139. [PMID: 29932496 PMCID: PMC6099515 DOI: 10.1002/pmic.201800139] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 06/11/2018] [Indexed: 11/25/2022]
Abstract
For more than a century, the precision at which any protein (or RNA) could be localized in living cells depends on the spatial resolution of microscopy. Light microscopy, even recently benchmarked laser-scanning microscopy, is inherently liable to the diffraction limit of visible light. Electron microscopy that had existed as the only alternative for decades is, in turn, of low throughput and sensitive to processing artefacts. Therefore, researchers have looked for alternative technologies particularly with ever-growing interest in resolving structural underpinnings of cellular heterogeneity in the human body. Computational ("in silico") predictions provided only partial solutions given the incompleteness of existing databases and erroneous assumptions on evolutionarily conserved sequence homology across species. A breakthrough that facilitates subcellular protein localization came with the introduction of "super-resolution" microscopy, which yields 20-60 nm resolution by overcoming diffraction-limited technologies. The ensuing combination of "super-resolution" microscopy with unbiased proteomics continues to produce never-before-seen gains by quantitatively addressing the distribution, interaction, turnover, and secretion of proteins in living cells. Here, we illustrate the power of this combined work flow by the example of transmembrane receptor localization at the neuronal synapse. We also discuss how dynamic analysis allows for inferences be made for cellular physiology and pathobiology.
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Affiliation(s)
- Andras Gabor Miklosi
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaA‐1090,Austria
| | - Giorgia Del Favero
- Department of Food Chemistry and ToxicologyFaculty of ChemistryUniversity of ViennaViennaA‐1090Austria
| | - Doris Marko
- Department of Food Chemistry and ToxicologyFaculty of ChemistryUniversity of ViennaViennaA‐1090Austria
| | - Tibor Harkany
- Department of Molecular NeurosciencesCenter for Brain ResearchMedical University of ViennaViennaA‐1090,Austria
- Department of NeuroscienceKarolinska InstitutetSE‐17177StockholmSweden
| | - Gert Lubec
- Neuroproteomics LaboratoryParacelsus Medical UniversityA‐5020SalzburgAustria
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