Stopping and Restarting a GLP-1 Drug Repeatedly May Worsen Metabolic Health in Aging Obese Mice
Repeatedly cycling on and off liraglutide in aged obese mice caused elevated leptin levels, visceral fat gain, and progressive loss of lean muscle mass compared to continuous treatment.
Quick Facts
What This Study Found
Aged obese UM-HET3 mice subjected to three cycles of liraglutide treatment followed by withdrawal (ON/OFF group) developed hyperleptinemia and visceral fat expansion, resulting in impaired metabolic health compared to both untreated controls and continuously treated mice.
Importantly, while the ON/OFF mice regained fat mass after each treatment cycle, they consistently failed to restore lean mass. This unfavorable shift in body composition — losing muscle but regaining fat — suggests that intermittent GLP-1 therapy may increase vulnerability to sarcopenia, the age-related loss of muscle mass and function.
Key Numbers
How They Did This
Aged obese UM-HET3 mice (a genetically diverse mouse strain) were divided into three groups: one receiving no liraglutide (OFF), one undergoing three cycles of treatment followed by withdrawal (ON/OFF), and one on continuous liraglutide treatment (ON). Researchers tracked body weight, food intake, body composition (fat vs. lean mass), leptin levels, and metabolic health markers across the treatment cycles.
Why This Research Matters
GLP-1 receptor agonists like liraglutide and semaglutide are among the most prescribed weight-loss drugs today. Many patients stop and restart these medications due to cost, side effects, or supply issues. This study provides the first evidence in aged animals that this yo-yo pattern may not simply return you to baseline — it could actively worsen metabolic health by driving up leptin, expanding visceral fat, and eroding muscle mass, which is especially dangerous in older adults already at risk for sarcopenia.
The Bigger Picture
As millions of people worldwide use GLP-1 agonists for obesity and diabetes, questions about what happens when treatment is interrupted are increasingly urgent. This study adds to growing evidence that these drugs may need to be taken continuously to maintain benefits, and that cycling on and off could create a worse metabolic profile than never starting treatment — particularly for aging populations where muscle preservation is critical.
What This Study Doesn't Tell Us
This was conducted in mice, not humans, so the findings may not directly translate to human patients. The UM-HET3 strain, while genetically diverse, does not fully replicate human metabolic complexity. The study did not report specific numerical values for leptin levels, body weight changes, or lean mass loss in the abstract. Long-term survival outcomes were not assessed.
Questions This Raises
- ?Would these same metabolic consequences occur in humans who cycle on and off GLP-1 receptor agonists?
- ?Could resistance training or protein supplementation during drug withdrawal periods help preserve lean mass?
- ?Is there a minimum continuous treatment duration that avoids the negative rebound effects seen with intermittent use?
Trust & Context
- Key Stat:
- 3 ON/OFF cycles Three cycles of liraglutide treatment and withdrawal led to hyperleptinemia, visceral fat expansion, and failure to recover lean mass in aged obese mice
- Evidence Grade:
- This is a preclinical animal study using a genetically diverse mouse model. While the study design included appropriate control groups and the findings are biologically significant, results from mice cannot be directly extrapolated to humans without clinical trials.
- Study Age:
- Published in 2025, this study addresses a very current clinical question as GLP-1 agonist use has surged globally. The findings are timely and highly relevant to ongoing debates about treatment adherence.
- Original Title:
- Repeated Withdrawal of a GLPR Agonist Induces Hyperleptinemia and Deteriorates Metabolic Health in Obese Aging UM-HET3 Mice.
- Published In:
- Aging cell, 24(10), e70210 (2025)
- Authors:
- Jiang, Nisi, Yin, Jiyuan, Lawrence, Noah, Meng, Jieyi, Maeyens, Laurence T, Xu, Ziying, Li, Xin, Ekane, Mbolle, Chaudhary, Ariana, Cao, Pengju, Li, Guannan, Solis-Herrera, Carolina, Zhu, Yi, Zhao, Shangang
- Database ID:
- RPEP-11614
Evidence Hierarchy
Frequently Asked Questions
What happened when aged obese mice were repeatedly taken on and off liraglutide?
The mice developed elevated leptin levels and expanded visceral fat. While they regained fat mass after each treatment break, they failed to recover lost lean muscle mass — creating a progressively worse body composition with each cycle.
Does this mean people should never stop taking GLP-1 drugs?
This mouse study suggests continuous treatment is needed to maintain metabolic benefits, and that cycling on and off may be worse than consistent use. However, these findings are preclinical and human studies are needed before drawing firm clinical conclusions.
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Cite This Study
https://rethinkpeptides.com/research/RPEP-11614APA
Jiang, Nisi; Yin, Jiyuan; Lawrence, Noah; Meng, Jieyi; Maeyens, Laurence T; Xu, Ziying; Li, Xin; Ekane, Mbolle; Chaudhary, Ariana; Cao, Pengju; Li, Guannan; Solis-Herrera, Carolina; Zhu, Yi; Zhao, Shangang. (2025). Repeated Withdrawal of a GLPR Agonist Induces Hyperleptinemia and Deteriorates Metabolic Health in Obese Aging UM-HET3 Mice.. Aging cell, 24(10), e70210. https://doi.org/10.1111/acel.70210
MLA
Jiang, Nisi, et al. "Repeated Withdrawal of a GLPR Agonist Induces Hyperleptinemia and Deteriorates Metabolic Health in Obese Aging UM-HET3 Mice.." Aging cell, 2025. https://doi.org/10.1111/acel.70210
RethinkPeptides
RethinkPeptides Research Database. "Repeated Withdrawal of a GLPR Agonist Induces Hyperleptinemi..." RPEP-11614. Retrieved from https://rethinkpeptides.com/research/jiang-2025-repeated-withdrawal-of-a
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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.