Project description:Changes in the secretion profile of visceral-pancreatic white adipose tissue (pWAT) due to diet-induced obesity are partially responsible for increased beta cell replication, suggesting that a crosstalk between pWAT and beta cells may play a role in regulating beta cell plasticity. The molecular mechanisms underlying this cross-talk are still not fully understood. The aim of this study was to integrate transcriptomic, proteomic and metabolomic data to unravel the cross-talk between adipose tissue and pancreatic islets during evolution of obesity. Pancreatic islets from control lean and cafeteria diet fed obese rats were obtained. RNA was extracted and processed for further hybridization on Affymetrix microarrays (GeneChip Rat Genome 230 2.0 (Affymetrix, Santa Clara, CA)).
Project description:Background and Aims: It is well demonstrated that in the beta cell population of the pancreas there is a dynamic turnover, which results from the net balance of several processes; beta cell replication, apoptosis and neogenesis. These processes have been studied in partial pancreatectomy and glucagon-like peptide 1 treated animals, where an increase in pancreas regeneration has been observed. Similarly, sodium tungstate, which decreases hyperglycemia in several animal models of diabetes, promotes a rise in the beta cell mass of nSTZ and STZ animals. However, the molecular mechanisms underlying this pancreas regeneration remain unknown. Therefore the objective of this study is to identify which genes are up or down regulated in the increase of the beta cell population of STZ rats treated with sodium tungstate. Materials and methods: Adult male Wistar (225-250 g) rats were kept under a constant 12-hour light-dark cycle and rats were kept under a constant 12-hour light-dark cycle and were allowed to eat and drink freely. Diabetes was induced by a single i.p. injection of streptozotocin (STZ) (70 mg/Kg body weight) in 0.9% NaCl with 100 mmol/L sodium citrate buffer (pH 4.5). Diabetes was confirmed by determination of its hyperglycaemia (>500mg/dL [Reflotron, Roche Diagnostic]). Healthy rats received an i.p. injection of the vehicle. Treatment started 7 days after the STZ or vehicle injection. Diabetic and healthy rats were divided into two groups. In the first (untreated), rats received deionized drinking water; in the second (treated) group, they were given a solution of sodium tungstate. During the first week of treatment, the rats received a solution of 0.7 mg/mL and in the next 4-5 weeks, the concentration was increased to 2 mg/mL. At the end of the experiment, the animals were sacrificed and pancreatic RNA isolated. Three chips (Affymetrix RAE-230A) were hybridized for each of the four experimental groups (untreated and treated healthy rats and untreated and treated diabetic rats). The raw intensity data obtained from the microarrays was normalized and summarized using the Bioconductor package RMA.
Project description:Male Sprague-Dawley rats were used to establish exhausted-exercise model by motorized rodent treadmill. Yu-Ping-Feng-San at doses of 2.18 g/kg was administrated by gavage before exercise training for 10 consecutive days. Quantitative proteomics was performed for assessing the related mechanism of Yu-Ping-Feng-San.
Project description:Living organisms are intricate systems with dynamic internal processes. Their RNA, protein, and metabolite levels fluctuate in response to variations in health and environmental conditions. Among these, RNA expression is particularly accessible for comprehensive analysis, thanks to the evolution of high throughput sequencing technologies in recent years. This progress has enabled researchers to identify unique RNA patterns associated with various diseases, as well as to develop predictive and prognostic biomarkers for therapy response. Such cross-sectional studies allow for the identification of differentially expressed genes (DEGs) between groups, but they have limitations. Specifically, they often fail to capture the temporal changes in gene expression following individual perturbations and may lead to significant false discoveries due to inherent noise in RNA sequencing sample preparation and data collection. To address these challenges, our study hypothesized that frequent, longitudinal RNA sequencing (RNAseq) analysis of blood samples could offer a more profound understanding of the temporal dynamics of gene expression in response to drug interventions, while also enhancing the accuracy of identifying genes influenced by these drugs. In this research, we conducted RNAseq on 829 blood samples collected from 84 Sprague-Dawley lab rats. Excluding the control group, each rat was administered one of four different compounds known for liver toxicity: tetracycline, isoniazid, valproate, and carbon tetrachloride. We developed specialized bioinformatics tools to pinpoint genes that exhibit temporal variation in response to these treatments.