Project description:Optimal treatment for nonalcoholic steatohepatitis (NASH) has not yet been established, particularly for individuals without diabetes. We examined the effects of metformin, commonly used to treat patients with type 2 diabetes, on liver pathology in a non-diabetic NASH mouse model. Eight-week-old C57BL/6 mice were fed a methionine- and choline-deficient (MCD) + high fat (HF) diet with or without 0.1% metformin for 8 weeks.
Project description:Metformin is now the most widely prescribed oral anti-diabetic agent worldwide, taken by over 150 million people annually. Although metformin has been used clinically to treat type 2 diabetes for over 60 years. Its mechanism of action remains only partially understood and controversial. In particular, this includes whether AMPK plays a role in metformin suppression of liver glucose production. To address this issue, we knocked out the AMPK catalytic alpha1 and alpha 2 subunits in the liver of HFD-fed adult homozygous mice. These mice were treated with a physiological relevent metformin dose (50 mg/kg/day) for 3 weeks. Liver samples were collected.
Project description:Optimal treatment for nonalcoholic steatohepatitis (NASH) has not yet been established, particularly for individuals without diabetes. We examined the effects of metformin, commonly used to treat patients with type 2 diabetes, on liver pathology in a non-diabetic NASH mouse model.
Project description:This experiment aimed to discover the effects of metformin on mouse liver and kidney tissue. The effects were seen by comparing the liver of the metformin group to the liver of a control group of mice treated given saline solution.
Project description:Metformin is a kind of widely used antidiabetic agent, which regulates glucose homeostasis through inhibiting liver glucose production and increasing glucose uptake in muscle. Recent studies suggest that metformin exhibits anticancer properties in a variety of cancers. Although several antitumor mechanisms have been proposed for metformin action, its mode of action in human liver cancer remains not elucidated. In our study we investigated the underlying molecular mechanisms of metformin’s antitumor effect on Huh-7 cells of hepatocellular carcinoma (HCC) in vitro. RNA sequencing (RNA-seq) was performed to explore the effect of metformin on the transcriptome of Huh-7 cells. The results revealed that 4518 genes (with log2 fold change>1 or < -1, p-adjusted value<0.05) were differentially expressed in Huh-7 cells with treatment of 25mM metformin compared to 0mM metformin including 1812 up-regulated and 2706 down-regulated genes. Gene ontology and KEGG pathway analyses identified 54 classical pathways which were significantly enriched, and 16 pathways are closely associated with cancer, such as cell cycle, DNA replication, ECM-receptor interaction and so on. We selected 11 differentially expressed genes, which are closely associated with HCC to validate their differential expressions through quantitative real-time reverse transcription PCR (qRT-PCR). The result exhibited that the genes of FASN, MCM6, MCM5, MARCKS, FADS2, CXCL1, BMP4, SKP2, KNG1, PCNA were down-regulated and DUSP1 is significantly up-regulated in Huh-7 cells with treatment of 25mM metformin. These differentially expressed genes and pathways might play a crucial part in the antitumor effect of metformin, and might be potential targets of metformin treating HCC. Further investigations are required to evaluate the metformin mechanisms of anti-cancer action in vivo.
Project description:Inflammation, oxidative and dicarbonyl stress play important roles in the pathophysiology of type 2 diabetes. Metformin is the first-line drug of choice for the treatment of type 2 diabetes because it effectively suppresses gluconeogenesis in the liver, however, its “pleiotropic“ effects remain controversial. In the current study, we tested the effects of metformin on inflammation, oxidative and dicarbonyl stress in an animal model of inflammation and metabolic syndrome, the spontaneously hypertensive rat transgenically expressing human C-reactive protein (SHR-CRP). In the SHR-CRP transgenic strain, we found that metformin treatment decreased circulating levels of inflammatory response marker IL6 while levels of human CRP remained unchanged and metformin also significantly reduced oxidative stress (levels of conjugated dienes and TBARS) in the liver while no significant effects were observed in SHR control rats. In addition, in the presence of high human CRP, metformin reduced methylglyoxal levels in left ventricles but not in kidneys. Finally, metformin treatment reduced adipose tissue lipolysis. Possible molecular mechanisms of metformin action studied by gene expression profiling in the liver revealed deregulated genes from inflammatory, insulin signaling, AMP-activated protein kinase (AMPK) signaling and gluconeogenesis pathways. It can be concluded that in the presence of high levels of human CRP metformin protects against inflammation, oxidative and dicarbonyl stress in the heart and ameliorates insulin resistance and dyslipidemia.
Project description:Background: Metformin, one of the first-line medication for the treatment of type 2 diabetes and gestational diabetes, has recently be suggested for targeting cardiovascular disease, cancer and aging. Therefore, current understanding of the mechanism of this drug is incompletely understood, and the function of multiple tissues, other than liver metabolism alone, may be influenced. Methods: The wildtype healthy mice treated with metformin were compared with controls (treated with double distilled water). The transcriptome changes with/without metformin treatment were probed by using high-throughput RNA-seq techniques Results: A comprehensive mouse transcriptome map with metformin treatment across ten tissues including aorta, eyeball, brain, adipose tissue, heart, kidney, liver, skeletal muscle, stomach and testis, was provided. Function enrichment, network characteristics and disease association of the differentially expressed genes were analyzed. We also compared our expression profiles with related microarray data in order to find conditions that share similar expression profiles with metformin treatment. Conclusions: This dataset could serve as a baseline resource for investigating the potential beneficial or adverse effects of metformin across different tissues.
Project description:This SuperSeries is composed of the following subset Series: GSE16340: Rat liver. Control vs. Chemical treated, 3 days GSE16394: Rat liver. Control vs. Chemical treated, 28 days GSE16743: Rat liver: Control vs. Chemical treated, 14 days Refer to individual Series