Incretin Hormones GLP-1 and GIP Normalize Energy Utilization and Reduce Inflammation in the Brain in Alzheimer's Disease and Parkinson's Disease: From Repurposed GLP-1 Receptor Agonists to Novel Dual GLP-1/GIP Receptor Agonists as Potential Disease-Modifying Therapies.
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What This Study Found
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Trust & Context
- Original Title:
- Incretin Hormones GLP-1 and GIP Normalize Energy Utilization and Reduce Inflammation in the Brain in Alzheimer's Disease and Parkinson's Disease: From Repurposed GLP-1 Receptor Agonists to Novel Dual GLP-1/GIP Receptor Agonists as Potential Disease-Modifying Therapies.
- Published In:
- CNS drugs, 39(12), 1201-1220 (2025)
- Authors:
- Hölscher, Christian(6)
- Database ID:
- RPEP-11495
Evidence Hierarchy
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Cite This Study
https://rethinkpeptides.com/research/RPEP-11495APA
Hölscher, Christian. (2025). Incretin Hormones GLP-1 and GIP Normalize Energy Utilization and Reduce Inflammation in the Brain in Alzheimer's Disease and Parkinson's Disease: From Repurposed GLP-1 Receptor Agonists to Novel Dual GLP-1/GIP Receptor Agonists as Potential Disease-Modifying Therapies.. CNS drugs, 39(12), 1201-1220. https://doi.org/10.1007/s40263-025-01226-z
MLA
Hölscher, Christian. "Incretin Hormones GLP-1 and GIP Normalize Energy Utilization and Reduce Inflammation in the Brain in Alzheimer's Disease and Parkinson's Disease: From Repurposed GLP-1 Receptor Agonists to Novel Dual GLP-1/GIP Receptor Agonists as Potential Disease-Modifying Therapies.." CNS drugs, 2025. https://doi.org/10.1007/s40263-025-01226-z
RethinkPeptides
RethinkPeptides Research Database. "Incretin Hormones GLP-1 and GIP Normalize Energy Utilization..." RPEP-11495. Retrieved from https://rethinkpeptides.com/research/holscher-2025-incretin-hormones-glp1-and
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Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.
This study breakdown was produced by the RethinkPeptides research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.