AMPK and Beyond: The Signaling Network Controlling RabGAPs and Contraction-Mediated Glucose Uptake in Skeletal Muscle.
Leon Peifer-WeissHadi Al-HasaniAlexandra ChadtPublished in: International journal of molecular sciences (2024)
Impaired skeletal muscle glucose uptake is a key feature in the development of insulin resistance and type 2 diabetes. Skeletal muscle glucose uptake can be enhanced by a variety of different stimuli, including insulin and contraction as the most prominent. In contrast to the clearance of glucose from the bloodstream in response to insulin stimulation, exercise-induced glucose uptake into skeletal muscle is unaffected during the progression of insulin resistance, placing physical activity at the center of prevention and treatment of metabolic diseases. The two Rab GTPase-activating proteins (RabGAPs), TBC1D1 and TBC1D4, represent critical nodes at the convergence of insulin- and exercise-stimulated signaling pathways, as phosphorylation of the two closely related signaling factors leads to enhanced translocation of glucose transporter 4 (GLUT4) to the plasma membrane, resulting in increased cellular glucose uptake. However, the full network of intracellular signaling pathways that control exercise-induced glucose uptake and that overlap with the insulin-stimulated pathway upstream of the RabGAPs is not fully understood. In this review, we discuss the current state of knowledge on exercise- and insulin-regulated kinases, hypoxia, nitric oxide (NO) and bioactive lipids that may be involved in the regulation of skeletal muscle glucose uptake.
Keyphrases
- skeletal muscle
- type diabetes
- insulin resistance
- blood glucose
- glycemic control
- physical activity
- signaling pathway
- nitric oxide
- adipose tissue
- metabolic syndrome
- cardiovascular disease
- polycystic ovary syndrome
- squamous cell carcinoma
- escherichia coli
- machine learning
- endothelial cells
- lymph node
- magnetic resonance imaging
- transcription factor
- resistance training
- cell proliferation
- oxidative stress
- combination therapy
- multidrug resistant
- reactive oxygen species
- deep learning
- depressive symptoms
- contrast enhanced