Ontology highlight
ABSTRACT:
PROVIDER: PRJNA622301 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The C57BL/6J mouse model develops obesity and pre-diabetes when fed a high-fat diet. In this experiment, DNA methylation was assessed globally at specific CpG sites in liver tissue from mice receiving high-fat diet (45E% from fat) for 13 weeks (Control) or high-fat diet supplemented with 20% (w/w) of freeze-dried lingonberries (n=4). Our findings show that lingonberries prevent development of high-fat induced obesity, hepatic steatosis and low-grade inflammation, and the DNA was hypermethylated in mice receiving lingonberries compared to control. Genome wide hepatic DNA methylation comparison between mice fed high-fat diet with or without a lingonberry supplement (n=4/group).
2015-09-20 | E-GEOD-67277 | biostudies-arrayexpress
Project description:Core diet-induced obesity networks were constructed using Ingenuity pathway analysis (IPA) based on 332 high-fat diet responsive genes identified in liver by time-course microarray analysis (8 time-points over 24 weeks) of high-fat diet fed mice compared to normal diet fed mice. IPA identified five core diet-induced obesity networks with time-dependent gene expression changes in liver. When we merged core diet-induced obesity networks, Tlr2, Cd14 and Ccnd1 emerged as hub genes associated with both liver steatosis and inflammation and were altered in a time-dependent manner. Further protein-protein interaction network analysis revealed Tlr2, Cd14 and Ccnd1 were inter-related through the ErbB/insulin signaling pathway. Dynamic changes occur in molecular networks underlying diet-induced obesity. Tlr2, Cd14 and Ccnd1 appear to be hub genes integrating molecular interactions associated with the development of NASH. Therapeutics targeting hub genes and core diet-induced obesity networks may help ameliorate diet-induced obesity and NASH. Total RNA obtained from isolated liver of C57BL/6J mice fed normal diet or high fat diet for 0, 2, 4, 6, 8, 12, 16, 20 and 24 weeks.
2014-03-01 | E-GEOD-40481 | biostudies-arrayexpress
Project description:To profile the expression of circulating miRNAs in a mouse model of diet-induced obesity (DIO) with subsequent weight-reduction with low-fat diet (LFD), eighteen C57BL/6 male mice were grouped into three subgroups as: (1) Control: the mice fed with the standard AIN-76A (fat: 11.5 kcal%) diet for 12 wks; (2) DIO: the mice fed with 58 kcal% high-fat diet for 12 wks; (3) DIO+LFD: the mice fed with high-fat diet for 8 wks to induce obesity, then changed to 10.5 kcal% low-fat diet for subsequent 4 wks.
2014-09-03 | GSE61005 | GEO
Project description:This dataset contains proteomic data from mice with high or low weight gain in response to a high fat diet. Both host and microbial proteins are present. In the supplemental, there are also tables and supplementary files that can be used for replicating the bioinformatic analysis.
Abstract:
Consumption of refined high-fat, low-fiber diets promotes development of obesity and its associated consequences. While genetics play an important role in dictating susceptibility to such obesogenic diets, mice with nearly uniform genetics exhibit marked heterogeneity in their extent of obesity in response to such diets. This suggests non-genetic determinants play a role in diet-induced obesity. Hence, we sought to identify parameters that predict, and/or correlate with, development of obesity in response to an obesogenic diet. We assayed behavior, metabolic parameters, inflammatory markers/cytokines, microbiota composition, and the fecal metaproteome, in a cohort of mice (n=50) prior to, and the 8 weeks following, administration of an obesogenic high-fat low-fiber diet. Neither behavioral testing nor quantitation of inflammatory markers broadly predicted severity of diet-induced obesity. Although, the small subset of mice that exhibited basal elevations in serum IL-6 (n=5) were among the more obese mice in the cohort. While fecal microbiota composition changed markedly in response to the obesogenic diet, it lacked the ability to predict which mice were relative prone or resistant to obesity. In contrast, fecal metaproteome analysis revealed functional and taxonomic differences among the proteins associated with proneness to obesity. Targeted interrogation of microbiota composition data successfully validated the taxonomic differences seen in the metaproteome. While future work will be needed to determine the breadth of applicability of these associations to other cohorts of animals and humans, this study nonetheless highlights the potential power of gut microbial proteins to predict and perhaps impact development of obesity.
2019-06-04 | MSV000083891 | MassIVE
Project description:High-fat diet and obesity are high risk factors for colorectal cancer. The underlying mechanism is still unclear. Environmental factors alter the epigenome to affect gene expression thus the phenotype. In response to external stimuli, the cis-regulatory regions, especially enhancer loci, are key elements for regulating selective gene expression. We thus explored the effects of high-fat diet and the accompanying obesity on gene expression and the enhancer landscape in colon epithelium. High-fat diet exposed binding sites of transcription factors downstream of signaling pathways important in the initiation and progression of colon cancer. Meantime, colon specific enhancers were lost rendering the cells potential for dedifferentiation. The alteration at enhancer regions drives a specific transcription program promoting colon cancer progression. The comprehensive interrogation of enhancer changes by high-fat diet in colon epithelium provides a number of insights into the underlying biology of high-fat diet and obesity in increasing colon cancer risk, and provides potential therapeutic targets to treat obese colon cancer patients. ChIP sequencing of active enhancer mark h3k27ac in colon epithelium from wild type mice and NAG-1 transgenic mice treated with either low-fat diet or high-fat diet. The gene expression component of the study is included in GSE46843.
2014-01-16 | E-GEOD-46748 | biostudies-arrayexpress
Project description:Gut Microbiome in High-fat-diet-induced obesity model
| PRJNA809155 | ENA