Stimulator of Interferon Genes (STING) Triggers Adipocyte Autophagy.
Kornél Z VargaKatalin GyurinaÁdám RadványiTibor PálLászló Sasi-SzabóHaidong YuEnikő FelszeghyTamás SzabóTamás RöszerPublished in: Cells (2023)
Innate immune signaling in adipocytes affects systemic metabolism. Cytosolic nucleic acid sensing has been recently shown to stimulate thermogenic adipocyte differentiation and protect from obesity; however, DNA efflux from adipocyte mitochondria is a potential proinflammatory signal that causes adipose tissue dysfunction and insulin resistance. Cytosolic DNA activates the stimulator of interferon response genes (STING), a key signal transducer which triggers type I interferon (IFN-I) expression; hence, STING activation is expected to induce IFN-I response and adipocyte dysfunction. However, we show herein that mouse adipocytes had a diminished IFN-I response to STING stimulation by 2'3'-cyclic-GMP-AMP (cGAMP). We also show that cGAMP triggered autophagy in murine and human adipocytes. In turn, STING inhibition reduced autophagosome number, compromised the mitochondrial network and caused inflammation and fat accumulation in adipocytes. STING hence stimulates a process that removes damaged mitochondria, thereby protecting adipocytes from an excessive IFN-I response to mitochondrial DNA efflux. In summary, STING appears to limit inflammation in adipocytes by promoting mitophagy under non-obesogenic conditions.
Keyphrases
- adipose tissue
- insulin resistance
- oxidative stress
- dendritic cells
- high fat diet
- high fat diet induced
- nucleic acid
- mitochondrial dna
- cell death
- immune response
- polycystic ovary syndrome
- innate immune
- copy number
- metabolic syndrome
- type diabetes
- genome wide
- endothelial cells
- single molecule
- staphylococcus aureus
- dna methylation
- cell free
- poor prognosis
- reactive oxygen species
- weight gain
- cystic fibrosis
- body mass index
- sensitive detection
- quantum dots
- induced pluripotent stem cells
- pseudomonas aeruginosa
- binding protein
- network analysis
- living cells