← BioTransfer GEO Dataset Finder
GEO series

Cross-tissue reveals metabolic reprogramming of Tibetan tea in mice

GSE263214 Mus musculus Expression profiling by high throughput sequencing 172 samples 2026/07/17 GPL24247
Summary
Metabolic diseases, such as obesity, diabetes, and cardiovascular diseases, pose significant health challenges in contemporary society. The development of these diseases is closely related to the balance of gut microbiota, the functionality of metabolic products, and metabolic dysregulation across various tissues and organs. Tibetan tea, a traditional post-fermented tea originating from Ya'an, Sichuan in Southwest China, is known for its unique fermentation process and flavor, as well as its multitude of health benefits, such as acting as a prebiotic, antioxidant, blood sugar reducer, antithrombotic, and obesity prevention agent. This has sparked widespread interest among scholars both domestically and internationally in its potential to address metabolic diseases such as obesity, diabetes, hyperlipidemia, and thrombosis formation. However, current research has mostly focused on the effects on single tissues, with less exploration into the role of Tibetan tea in multi-tissue responses. Therefore, this study employed large-scale sequencing technologies to deeply analyze the impact of Tibetan tea extract intervention on the gut microbiota and peripheral blood, as well as on the metabolism of 10 different tissues and organs, including the brain, brown fat, heart, liver, kidneys, pancreas, colon, white fat, skeletal muscle, and bone marrow in C57BL/6J mice under both normal and high-fat diet conditions. The aim was to reveal the holistic response and mechanism of host metabolism to Tibetan tea intervention, thereby providing new insights into nutritional intervention strategies for metabolic diseases.
Download
NCBI GEO page ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more mouse RNA-seq datasets →
Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.