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An unimolecular GIPR:GLP-1R:PPAR , , quintuple agonist eliminates obesity and insulin resistance in mice.

GSE314029 Mus musculus Expression profiling by high throughput sequencing 159 samples 2026/02/14 GPL24247
Summary
Drugs to improve obesity-linked metabolic dysfunction are on the rise, with GLP-1:GIP co-agonism being effective in the management of obesity and type 2 diabetes, and with Lanifibranor (Lani), a nuclear acting small molecule triple agonist at the peroxisome proliferator-activated receptors alpha, gamma and delta (PPAR , , ) being in phase 3 development for the treatment of metabolic dysfunction-associated steatohepatitis. Seeking to further improve the metabolic efficacy of GLP-1:GIP co-agonism, we here report the design and preclinical evaluation of an unimolecular quintuple agonist, which synergistically combines the body weight and blood glucose lowering effects of GLP-1:GIP co-agonism with the insulin sensitizing effects of Lani through its targeted delivery into only cells that express the receptor for either GIP or GLP-1. In vitro, GLP-1:GIP:Lani is indistinguishable from its GLP-1:GIP backbone in GIPR and GLP-1R signaling and equally stimulates insulin secretion in isolated murine islets. In vivo, however, GLP-1:GIP:Lani is much superior to GLP-1:GIP co-agonism or Semaglutide to decrease body weight, food intake, and hyperglycemia in obese and insulin resistant mice through synergistic incretin and PPAR action in key glucoregulatory tissues. The superior metabolic action of GLP-1:GIP:Lani is demonstrated in mice with genetic (db/db) and diet-induced obesity (DIO), is accelerated in DIO mice with adipose-specific overexpression of GIPR and is absent in DIO double-incretin receptor knock-out mice. Collectively, our data suggest that this novel quintuple polyagonist holds unprecedented therapeutic value to treat obesity and type 2 diabetes.
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NCBI GEO page ↗ Paper (PMID 42056522) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more mouse RNA-seq datasets →
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