METRNL attenuates lipid-induced inflammation and insulin resistance via AMPK or PPAR?-dependent pathways in skeletal muscle of mice.
Ontology highlight
ABSTRACT: Physical activity has many beneficial effects on metabolic disorders, such as obesity, insulin resistance, and diabetes. Meteorin-like protein (METRNL), a novel secreted protein homologous to the neurotrophin Metrn, is induced after exercise in the skeletal muscle. Herein, we investigated the effects of METRNL on lipid-mediated inflammation and insulin resistance in skeletal muscle via AMP-activated protein kinase (AMPK) or peroxisome proliferator-activated receptor ? (PPAR?). Treatment with METRNL suppressed inflammatory markers, such as nuclear factor ?B (NF?B) nuclear translocation, inhibitory ?B? (I?B?) phosphorylation, interleukin-6 (IL-6) expression, and pro-inflammatory cytokines (such as TNF? and MCP-1). METRNL treatment also attenuated the impaired insulin response both in palmitate-treated differentiated C2C12 cells and the skeletal muscle of high-fat diet (HFD)-fed mice. Furthermore, METRNL administration rescued glucose intolerance and reduced HFD-induced body weight gain in mice; however, METRNL did not affect calorie intake. METRNL treatment increased AMPK phosphorylation and PPAR? expression both in differentiated C2C12 cells and mouse skeletal muscle. siRNA-mediated suppression of AMPK and PPAR? abrogated the suppressive effects of METRNL on palmitate-induced inflammation and insulin resistance. Moreover, METRNL augmented the mRNA expression of fatty acid oxidation-associated genes, such as carnitine palmitoyltransferase 1 (CPT1), acyl-CoA oxidase (ACO), and fatty acid binding protein 3 (FABP3). siRNAs for AMPK and PPAR? reversed these changes. In the current study, we report for the first time that METRNL alleviates inflammation and insulin resistance and induces fatty acid oxidation through AMPK or PPAR?-dependent signaling in skeletal muscle.
SUBMITTER: Jung TW
PROVIDER: S-EPMC6137187 | biostudies-literature | 2018 Sep
REPOSITORIES: biostudies-literature
ACCESS DATA