Glucocorticoids enhance muscle endurance and ameliorate Duchenne muscular dystrophy through a defined metabolic program.
Alexander Morrison-NozikPriti AnandHan ZhuQiming DuanMohamad SabehDomenick A ProsdocimoMadeleine E LemieuxNikolai NordsborgAaron P RussellCalum A MacRaeAnthony N GerberMukesh K JainSaptarsi M HaldarPublished in: Proceedings of the National Academy of Sciences of the United States of America (2015)
Classic physiology studies dating to the 1930s demonstrate that moderate or transient glucocorticoid (GC) exposure improves muscle performance. The ergogenic properties of GCs are further evidenced by their surreptitious use as doping agents by endurance athletes and poorly understood efficacy in Duchenne muscular dystrophy (DMD), a genetic muscle-wasting disease. A defined molecular basis underlying these performance-enhancing properties of GCs in skeletal muscle remains obscure. Here, we demonstrate that ergogenic effects of GCs are mediated by direct induction of the metabolic transcription factor KLF15, defining a downstream pathway distinct from that resulting in GC-related muscle atrophy. Furthermore, we establish that KLF15 deficiency exacerbates dystrophic severity and muscle GC-KLF15 signaling mediates salutary therapeutic effects in the mdx mouse model of DMD. Thus, although glucocorticoid receptor (GR)-mediated transactivation is often associated with muscle atrophy and other adverse effects of pharmacologic GC administration, our data define a distinct GR-induced gene regulatory pathway that contributes to therapeutic effects of GCs in DMD through proergogenic metabolic programming.
Keyphrases
- duchenne muscular dystrophy
- skeletal muscle
- transcription factor
- insulin resistance
- mouse model
- muscular dystrophy
- high intensity
- gas chromatography
- metabolic syndrome
- electronic health record
- emergency department
- oxidative stress
- machine learning
- brain injury
- data analysis
- cerebral ischemia
- quality improvement
- case control
- binding protein
- subarachnoid hemorrhage