GLP-1 receptor agonist protects glucose-stimulated insulin secretion in pancreatic β-cells against lipotoxicity via PPARδ/UCP2 pathway.

RPEP-122712025RETHINKTHC 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:
GLP-1 receptor agonist protects glucose-stimulated insulin secretion in pancreatic β-cells against lipotoxicity via PPARδ/UCP2 pathway.
Published In:
Cellular and molecular life sciences : CMLS, 82(1), 375 (2025)
Database ID:
RPEP-12271

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-12271·https://rethinkpeptides.com/research/RPEP-12271

APA

Liu, Zhigu; Chen, Yalan; Su, Yanna; Peng, Yueyue; Xu, Fen; Yao, Bin; Liang, Hua; Lin, Beisi; Xu, Wen. (2025). GLP-1 receptor agonist protects glucose-stimulated insulin secretion in pancreatic β-cells against lipotoxicity via PPARδ/UCP2 pathway.. Cellular and molecular life sciences : CMLS, 82(1), 375. https://doi.org/10.1007/s00018-025-05844-0

MLA

Liu, Zhigu, et al. "GLP-1 receptor agonist protects glucose-stimulated insulin secretion in pancreatic β-cells against lipotoxicity via PPARδ/UCP2 pathway.." Cellular and molecular life sciences : CMLS, 2025. https://doi.org/10.1007/s00018-025-05844-0

RethinkPeptides

RethinkPeptides Research Database. "GLP-1 receptor agonist protects glucose-stimulated insulin s..." RPEP-12271. Retrieved from https://rethinkpeptides.com/research/liu-2025-glp1-receptor-agonist-protects

Access the Original Study

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.