PLX129943

GSE137365: Evaluation of the physiological property of D-allulose on obesity and its comorbidities in diet-induced obese mice based on mRNA-seq analysis

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

ackground/Objectives: The aim of the current study was to elucidate the effects of long-term supplementation with D-allulose on obesity and associated comorbidities by analyzing transcriptional and metabolic responses. Subjects/Methods: C57BL/6J mice were divided into three groups and fed a normal diet, high-fat diet (HFD), or high-fat + 5% (w/w) D-allulose diet for 16 weeks. Results: Body weight and body fat mass were significantly decreased in HFD-fed with D-allulose supplemented mice and their levels were similar to that of the normal diet. Also, major symptoms of obesity, such as high plasma lipid profiles and cytokine levels, were attenuated by D-allulose supplementation. D-allulose supplement induced the alteration of mRNA expression in epididymal white adipose tissue (eWAT) and hepatic tissue. D-allulose normalized mRNA expression related lipid metabolism in eWAT and hepatic tissue. In Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway mapper analyses, D-allulose supplementation were down regulated the cytokine-cytokinereceptor interaction, chemokinesignaling pathway, MAPK signaling pathwayandtoll-like receptor signaling pathway in eWAT and hepatic tissue. SOURCE: Youngji Han (youngji.kor.han@gmail.com) - Kyungpook National University

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team