Development of a potent Xenopus GLP-1-derived GLP-1/GIP/Y2 receptor tri-agonist for obesity and type 2 diabetes.

RPEP-122512025RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Not classified
Evidence
Not graded
Sample
Not reported

What This Study Found

Key Numbers

How They Did This

Why This Research Matters

What This Study Doesn't Tell Us

Trust & Context

Original Title:
Development of a potent Xenopus GLP-1-derived GLP-1/GIP/Y2 receptor tri-agonist for obesity and type 2 diabetes.
Published In:
International journal of biological macromolecules, 328(Pt 1), 147553 (2025)
Database ID:
RPEP-12251

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study
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Cite This Study

RPEP-12251·https://rethinkpeptides.com/research/RPEP-12251

APA

Liu, Xiyu; Gong, Binbin; Wang, Ting; Hu, Guoqiang; Han, Jing; Sun, Lidan. (2025). Development of a potent Xenopus GLP-1-derived GLP-1/GIP/Y2 receptor tri-agonist for obesity and type 2 diabetes.. International journal of biological macromolecules, 328(Pt 1), 147553. https://doi.org/10.1016/j.ijbiomac.2025.147553

MLA

Liu, Xiyu, et al. "Development of a potent Xenopus GLP-1-derived GLP-1/GIP/Y2 receptor tri-agonist for obesity and type 2 diabetes.." International journal of biological macromolecules, 2025. https://doi.org/10.1016/j.ijbiomac.2025.147553

RethinkPeptides

RethinkPeptides Research Database. "Development of a potent Xenopus GLP-1-derived GLP-1/GIP/Y2 r..." RPEP-12251. Retrieved from https://rethinkpeptides.com/research/liu-2025-development-of-a-potent

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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.