Incretin-Based Multi-Agonist Peptides Are Neuroprotective and Anti-Inflammatory in Cellular Models of Neurodegeneration.
Katherine O KoppYazhou LiElliot J GlotfeltyDavid TweedieNigel H GreigPublished in: Biomolecules (2024)
Glucagon-like peptide-1 (GLP-1)-based drugs have been approved by the United States Food and Drug Administration (FDA) and are widely used to treat type 2 diabetes mellitus (T2DM) and obesity. More recent developments of unimolecular peptides targeting multiple incretin-related receptors ("multi-agonists"), including the glucose-dependent insulinotropic polypeptide (GIP) receptor (GIPR) and the glucagon (Gcg) receptor (GcgR), have emerged with the aim of enhancing drug benefits. In this study, we utilized human and mouse microglial cell lines, HMC3 and IMG, respectively, together with the human neuroblastoma SH-SY5Y cell line as cellular models of neurodegeneration. Using these cell lines, we studied the neuroprotective and anti-inflammatory capacity of several multi-agonists in comparison with a single GLP-1 receptor (GLP-1R) agonist, exendin-4. Our data demonstrate that the two selected GLP-1R/GIPR dual agonists and a GLP-1R/GIPR/GcgR triple agonist not only have neurotrophic and neuroprotective effects but also have anti-neuroinflammatory properties, as indicated by the decreased microglial cyclooxygenase 2 (COX2) expression, nitrite production, and pro-inflammatory cytokine release. In addition, our results indicate that these multi-agonists have the potential to outperform commercially available single GLP-1R agonists in neurodegenerative disease treatment.
Keyphrases
- anti inflammatory
- drug administration
- endothelial cells
- inflammatory response
- lipopolysaccharide induced
- metabolic syndrome
- insulin resistance
- induced pluripotent stem cells
- nitric oxide
- neuropathic pain
- pluripotent stem cells
- weight loss
- emergency department
- cardiovascular disease
- skeletal muscle
- risk assessment
- machine learning
- drug delivery
- drug induced
- deep learning
- big data
- blood glucose
- electronic health record
- weight gain
- cancer therapy
- artificial intelligence
- subarachnoid hemorrhage
- cardiovascular risk factors