Project description:The Goto-Kakizak (GK) rat, a nonobese animal model of Type 2 diabetes (T2D), were developed by repeated inbreeding of glucose-intolerent individuals selected from Wistar rats. During their development, GK rats suffer from reduced beta-cell mass and insulin resistance spontaneously (T2D phenotype), which are supposed to be caused by loci holding different genotypes between GK and Wistar rats. This array CGH experiment can detect loci which show different copy numbers (genotype) between GK and Wistar rats. These loci serve as a valuable repository for mining candidates contributing to the pathogenesis of T2D.
Project description:To explored the mechanism of pharmacokinetic perturbation in chronic unpredicted mild stress (CUMS) resulting depression, CUMS-induced depression animal model with spontaneous diabetic GK rats were established. The expression profile in GK rats' livers were screened using Affymetrix Rat 230 2.0 Array.
Project description:The Goto-Kakizak (GK) rat, a nonobese animal model of Type 2 diabetes (T2D), were developed by repeated inbreeding of glucose-intolerent individuals selected from Wistar rats. During their development, GK rats suffer from reduced beta-cell mass and insulin resistance spontaneously (T2D phenotype), which are supposed to be caused by loci holding different genotypes between GK and Wistar rats. This array CGH experiment can detect loci which show different copy numbers (genotype) between GK and Wistar rats. These loci serve as a valuable repository for mining candidates contributing to the pathogenesis of T2D. The genomic DNA taken from 3 male GK rats as 3 test samples while pooled genomic DNA from 8 male Wistar rats as the common referrence. For each of the hybridization, a dye-swap was designed as well.
Project description:The genetic control of kidney and white adipose tissue transcriptomic regulation was investigated in Goto-Kakizaki (GK), Brown Norway and hybrids of an F2cross between GK and BN rats using Illumina Beadchips. Expression data was determined in 5 months old rats.
Project description:Dietary lipids can affect metabolic health through gut microbiota-mediated mechanisms, but the influence of lipid-microbiota interaction on liver steatosis is unknown. We investigated the effect of dietary lipid composition on human microbiota in an observational study and combined diet experiments with microbiota transplants to study lipid-microbiota interactions and liver status in mice. In humans, low intake of saturated fatty acids (SFA) was associated with increased microbial diversity independent of fiber intake. In mice, cecum levels of SFA correlated negatively with microbial diversity and were associated with a shift in butyrate and propionate producers. Mice fed poorly absorbed SFA had improved metabolism and liver status. These features were transmitted by microbial transfer. Diets enriched in n-6- and/or n-3-polyunsaturated fatty acids were protective against steatosis but had minor influence on the microbiota. In summary, we find that unabsorbed SFA correlate with microbiota features that may be targeted to decrease liver steatosis.
Project description:MicroRNAs (miRNAs), which are a newly identified class of small single-stranded non-coding RNAs, regulate their target genes via post-transcriptional pathway. It has been proved that miRNAs play important roles in many biological processes. To better understand miRNA function with type 2 diabetes, we have used an oligonucleotide microarray to monitor miRNA expression profiles of GK and Wistar rats’ muscle. We found 7 miRNAs were down-expressed and 2 were over-expressed in the muscle of GK rats. Among them, miR-24 showed the most prominent change. P38 MAPK, which is a direct target of miR-24 also showed expression difference. All the data give a clue that miR-24 might be associated with diabetes through down regulation of p38 MAPK.
Project description:To compare the changes in the gut microbial composition in the cecum of mice following the 4 treatments (IFvsAL with(out) vancomycin co-treatment)
Project description:MicroRNAs (miRNAs) are non-coding RNA molecules involved in post-transcriptional control of gene expression of a wide number of genes, including those involved in glucose homeostasis. Type 2 diabetes (T2D) is characterized by hyperglycaemia and defects in insulin secretion and action at target tissues. Using a miRNA microarray platform, we sought to establish differences in miRNA expression in two insulin-target tissues (liver and adipose tissue) from seven-month-old spontaneously diabetic (Goto-Kakizaki [GK]) and non-diabetic (Brown-Norway [BN]) rats. MiRNA data were integrated with gene expression data from the same rats to investigate how differentially expressed miRNAs affected the expression of their predicted target genes. Two-colour experiment comparing GK and BN rat strains for two different tissues. Biological replicates: 4 GK and 4 BN rats; adipose tissue and liver extracted from each rat. Two samples were hybridised to each array (one of each strain, same tissue)