Project Details
Description
Global skeletal muscle hypertrophy has anti-obesity, anti-diabetes, anti-osteoporosis,
and possibly anti-tumor growth effects. Conversely, global skeletal muscle
atrophy is typically associated with fat gain, insulin resistance, osteoporosis, and poor
outcomes in cancer patients. The aim of the HyperMet research unit is to investigate the
underlying metabolic mechanisms on three levels that are first intercellular metabolism, second
muscular metabolite exchange, and third inter-organ metabolism and metabolic health. We will do
so using advanced methods of metabolic research such as isotope-labeled tracer-based flux
analysis, metabolic imaging, and arteriovenous metabolomics.
and possibly anti-tumor growth effects. Conversely, global skeletal muscle
atrophy is typically associated with fat gain, insulin resistance, osteoporosis, and poor
outcomes in cancer patients. The aim of the HyperMet research unit is to investigate the
underlying metabolic mechanisms on three levels that are first intercellular metabolism, second
muscular metabolite exchange, and third inter-organ metabolism and metabolic health. We will do
so using advanced methods of metabolic research such as isotope-labeled tracer-based flux
analysis, metabolic imaging, and arteriovenous metabolomics.
Layman's description
HyperMet research examines the impact of muscle growth (hypertrophy) and muscle loss (atrophy) on metabolism. Increased muscle mass reduces the risk of obesity, diabetes, osteoporosis, and potentially cancer. We are exploring the underlying metabolic processes to develop new strategies for prevention and everyday life.
| Short title | HyperMet |
|---|---|
| Status | Active |
| Effective start/end date | 1/03/25 → 28/02/29 |
Collaborative partners
- Technical University of Munich (lead)
- TUM University Hospital
- Ludwig-Maximilians-University Munich
- Helmholtz Munich
- University Hospital Ulm
- Technische Universität Braunschweig
Keywords
- Muscle hypertrophy
- Muscle atrophy
- Metabolic health
- Metabolic reprogramming
- Metabolomics
- Flux analysis
- Glucose homeostasis
- Inter-organ metabolism
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