The Rho guanine dissociation inhibitor α inhibits skeletal muscle Rac1 activity and insulin action.
Lisbeth Liliendal Valbjørn MøllerMona S AliJonathan DaveySteffen H RaunNicoline R AndersenJonathan Z LongHongwei QianJacob F JeppesenCarlos Henríquez OlguínEmma FrankThomas E JensenKurt HøjlundJørgen F P WojtaszewskiJoachim NielsenTim T ChiuMark P JedrychowskiPaul GregorevicAmira KlipErik Arne RichterLykke SylowPublished in: Proceedings of the National Academy of Sciences of the United States of America (2023)
The molecular events governing skeletal muscle glucose uptake have pharmacological potential for managing insulin resistance in conditions such as obesity, diabetes, and cancer. With no current pharmacological treatments to target skeletal muscle insulin sensitivity, there is an unmet need to identify the molecular mechanisms that control insulin sensitivity in skeletal muscle. Here, the Rho guanine dissociation inhibitor α (RhoGDIα) is identified as a point of control in the regulation of insulin sensitivity. In skeletal muscle cells, RhoGDIα interacted with, and thereby inhibited, the Rho GTPase Rac1. In response to insulin, RhoGDIα was phosphorylated at S101 and Rac1 dissociated from RhoGDIα to facilitate skeletal muscle GLUT4 translocation. Accordingly, siRNA-mediated RhoGDIα depletion increased Rac1 activity and elevated GLUT4 translocation. Consistent with RhoGDIα's inhibitory effect, rAAV-mediated RhoGDIα overexpression in mouse muscle decreased insulin-stimulated glucose uptake and was detrimental to whole-body glucose tolerance. Aligning with RhoGDIα's negative role in insulin sensitivity, RhoGDIα protein content was elevated in skeletal muscle from insulin-resistant patients with type 2 diabetes. These data identify RhoGDIα as a clinically relevant controller of skeletal muscle insulin sensitivity and whole-body glucose homeostasis, mechanistically by modulating Rac1 activity.
Keyphrases
- skeletal muscle
- insulin resistance
- type diabetes
- glycemic control
- metabolic syndrome
- cell proliferation
- cardiovascular disease
- squamous cell carcinoma
- cell migration
- machine learning
- body mass index
- small molecule
- blood pressure
- oxidative stress
- drug delivery
- signaling pathway
- climate change
- transcription factor
- big data
- papillary thyroid
- artificial intelligence
- amino acid
- electronic health record
- lymph node metastasis