A Novel drosophila model targets Eiger/TNFα to alleviate obesity-related insulin resistance and macrophage infiltration.
Zhasmine MirzoyanAlice ValenzaSheri ZolaCarola BonfantiLorenzo ArnaboldiNicholas FerrariJohn PollardValeria LupiMatteo CassinelliMatteo FrattaroliMehtap SahinMaria Enrica PasiniPaola BellostaPublished in: Disease models & mechanisms (2023)
Obesity is associated with various metabolic disorders, such as insulin resistance and adipose tissue inflammation (ATM), characterized by macrophage infiltration into adipose cells. This study presents a novel Drosophila model (OBL) to investigate the mechanisms underlying these obesity-related pathologies. We employed genetic manipulation to reduce ecdysone levels to prolong the larval stage. These animals are hyperphagic and exhibit features resembling obesity in mammals, including increased lipid storage, adipocyte hypertrophy, and high circulating glucose levels. Moreover, we observed a significant infiltration of immune cells (hemocytes) in the fat bodies accompanied by insulin resistance. We found that attenuation of Eiger/TNFα signaling reduced ATM and improved insulin sensitivity. Furthermore, using metformin and the antioxidant anthocyanins, we ameliorated both phenotypes. Our data highlights evolutionarily conserved mechanisms allowing the development of Drosophila models for discovering therapeutic pathways in adipose tissue immune cell infiltration and insulin resistance. Our model can also provide a platform to perform genetic screens or test the efficacy of novel therapeutic interventions for diseases such as obesity, type 2 diabetes, and non-alcoholic fatty liver disease (NAFLD).
Keyphrases
- insulin resistance
- adipose tissue
- high fat diet induced
- high fat diet
- type diabetes
- metabolic syndrome
- polycystic ovary syndrome
- skeletal muscle
- oxidative stress
- glycemic control
- induced apoptosis
- rheumatoid arthritis
- high throughput
- genome wide
- dna damage
- cell cycle arrest
- gene expression
- cell death
- copy number
- cardiovascular disease
- dna damage response
- dna repair
- electronic health record
- transcription factor
- dna methylation
- machine learning
- blood pressure
- fatty acid
- single cell
- liver fibrosis