1.Fumigaclavine C attenuates adipogenesis in 3T3-L1 adipocytes and ameliorates lipid accumulation in high-fat diet-induced obese mice
Wan Guo YU ; Yun HE ; Yun Fang CHEN ; Xiao Yao GAO ; Wan E NING ; Chun You LIU ; Ting Fan TANG ; Quan LIU ; Xiao Cheng HUANG
The Korean Journal of Physiology and Pharmacology 2019;23(3):161-169
Fumigaclavine C (FC), an active indole alkaloid, is obtained from endophytic Aspergillus terreus (strain No. FC118) by the root of Rhizophora stylosa (Rhizophoraceae). This study is designed to evaluate whether FC has anti-adipogenic effects in 3T3-L1 adipocytes and whether it ameliorates lipid accumulation in high-fat diet (HFD)-induced obese mice. FC notably increased the levels of glycerol in the culture supernatants and markedly reduced lipid accumulation in 3T3-L1 adipocytes. FC differentially inhibited the expressions of adipogenesis-related genes, including the peroxisome proliferator-activated receptor proteins, CCAAT/enhancer-binding proteins, and sterol regulatory element-binding proteins. FC markedly reduced the expressions of lipid synthesis-related genes, such as the fatty acid binding protein, lipoprotein lipase, and fatty acid synthase. Furthermore, FC significantly increased the expressions of lipolysis-related genes, such as the hormone-sensitive lipase, Aquaporin-7, and adipose triglyceride lipase. In HFD-induced obese mice, intraperitoneal injections of FC decreased both the body weight and visceral adipose tissue weight. FC administration significantly reduced lipid accumulation. Moreover, FC could dose-dependently and differentially regulate the expressions of lipid metabolism-related transcription factors. All these data indicated that FC exhibited anti-obesity effects through modulating adipogenesis and lipolysis.
Adipocytes
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Adipogenesis
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Animals
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Aspergillus
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Body Weight
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Carrier Proteins
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Diet, High-Fat
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Glycerol
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Injections, Intraperitoneal
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Intra-Abdominal Fat
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Lipase
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Lipolysis
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Lipoprotein Lipase
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Mice
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Mice, Obese
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Peroxisomes
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Rhizophoraceae
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Sterol Esterase
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Transcription Factors
2.Transcriptome Analysis of Chronic Myelogenous Leukemia Cell Line with Imatinib Resistance.
Xiao HAN ; Zhi-Kui DENG ; Cheng-Wan ZHANG ; Liang YU ; Xiao-Ning LIU
Journal of Experimental Hematology 2021;29(6):1714-1718
OBJECTIVE:
To investigate the regulation of chronic myelogenous leukemia (CML) imatinib resistant genes, in order to improve the therapeutic effect of CML imatinib resistant patients.
METHODS:
The human CML cell line K562 and imatinib-resistant K562 cells (K562/G01) were collected, and transcriptome of the cells were achieved by RNA-seq. The sequencing data were analyzed by using standard procedures.
RESULTS:
Compared with K562 cells, 464 genes were significantly changed in K562/G01 cells, including 163 up-regulated and 301 down-regulated genes. The GO function annotation analysis and KEGG pathway analysis results showed that the differentially expressed genes were mainly involved in biological processes such as oxidative phosphorylation, localization to protein organelle, ribonucleoprotein complex biogenesis and so on. Gene Set Enrichment Analysis (GSEA) plots showed that 5 gene-sets were up-regulated in K562/G01 significantly, including the pathway of TGF-beta, mTOR and CML.
CONCLUSION
CML imatinib resistance is associated with oxidative phosphorylation, during which the pathway of TGF-beta and mTOR are significantly up-regulated.
Drug Resistance, Neoplasm
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Gene Expression Profiling
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Humans
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Imatinib Mesylate/pharmacology*
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K562 Cells
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Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics*
3.Bioinformatics Analysis of the Influence of Coronavirus Infection on Hematopoietic System and Potential Intervention Drugs and Their Significance for COVID-19.
Jun-Dong ZHANG ; Bo YANG ; Hao-Ran CHEN ; Xiao-Hua CHI ; Xi-Meng CHEN ; Peng ZHI ; Hao-Min ZHANG ; Zi-Ning WANG ; Bin GUO ; Yi-Xing WANG ; Wan-Jun SUN ; Xue-Chun LU
Journal of Experimental Hematology 2021;29(3):975-982
OBJECTIVE:
To analyze and predict the effect of coronavirus infection on hematopoietic system and potential intervention drugs, and explore their significance for coronavirus disease 2019 (COVID-19).
METHODS:
The gene expression omnibus (GEO) database was used to screen the whole genome expression data related with coronavirus infection. The R language package was used for differential expression analysis and KEGG/GO enrichment analysis. The core genes were screened by PPI network analysis using STRING online analysis website. Then the self-developed apparent precision therapy prediction platform (EpiMed) was used to analyze diseases, drugs and related target genes.
RESULTS:
A database in accordance with the criteria was found, which was derived from SARS coronavirus. A total of 3606 differential genes were screened, including 2148 expression up-regulated genes and 1458 expression down-regulated genes. GO enrichment mainly related with viral infection, hematopoietic regulation, cell chemotaxis, platelet granule content secretion, immune activation, acute inflammation, etc. KEGG enrichment mainly related with hematopoietic function, coagulation cascade reaction, acute inflammation, immune reaction, etc. Ten core genes such as PTPRC, ICAM1, TIMP1, CXCR5, IL-1B, MYC, CR2, FSTL1, SOX1 and COL3A1 were screened by protein interaction network analysis. Ten drugs with potential intervention effects, including glucocorticoid, TNF-α inhibitor, salvia miltiorrhiza, sirolimus, licorice, red peony, famciclovir, cyclosporine A, houttuynia cordata, fluvastatin, etc. were screened by EpiMed plotform.
CONCLUSION
SARS coronavirus infection can affect the hematopoietic system by changing the expression of a series of genes. The potential intervention drugs screened on these grounds are of useful reference significance for the basic and clinical research of COVID-19.
COVID-19
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Computational Biology
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Follistatin-Related Proteins
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Hematopoietic System
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Humans
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Pharmaceutical Preparations
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SARS-CoV-2