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Journal article : Review

Efficacy of GLP-1 receptor agonists in Parkinson’s disease: a systematic review and exploratory network meta-analysis of randomized controlled trials

Abstract:
Background: Current therapies for Parkinson’s disease lack proven disease-modifying effects. Glucagon-like peptide-1 receptor agonists (GLP-1RAs), developed for type 2 diabetes, have shown potential neuroprotective properties. Their comparative efficacy in Parkinson’s disease remains unclear. Methods: A systematic search (inception–February 2026) identified randomized controlled trials evaluating GLP-1RAs in Parkinson’s disease. Pairwise and frequentist random-effects network meta-analyses were performed. The primary outcome was MDS-UPDRS Part III (ON state). Results: Five trials (n = 708) were included. Pairwise meta-analysis showed no significant overall improvement in MDS-UPDRS Part III (MD –2.00; 95% CI –5.46 to 1.46; I² = 80.5%). Network meta-analysis demonstrated significant ON-state motor improvement with Exenatide 20 µg/day (MD –9.80; 95% CI –14.47 to –5.13) and Lixisenatide 20 µg/day (MD –3.08; 95% CI –5.31 to –0.85). No significant effects were observed for MDS-UPDRS Part III (OFF-state) or other domains (Parts I, II, and IV; ON-state). NLY01 at 5 mg/week improved PDQ-39, while NMSS showed dose-dependent divergence. Gastrointestinal adverse events were more frequent with GLP-1RAs. Conclusion: GLP-1 receptor agonists may provide dose-specific motor benefits in Parkinson’s disease, but evidence for broader clinical improvement is limited. Larger, longer-duration trials are needed.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s10072-026-08929-1

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Role:
Author
ORCID:
0009-0001-7472-5966


Publisher:
Springer
Journal:
Neurological Sciences More from this journal
Volume:
47
Issue:
5
Pages:
432
Article number:
432
Publication date:
2026-04-17
Acceptance date:
2026-02-21
DOI:
EISSN:
1590-3478
ISSN:
1590-1874


Language:
English
Keywords:
Subtype:
Review
Pubs id:
2408348
Local pid:
pubs:2408348
Source identifiers:
3962730
Deposit date:
2026-04-21
ARK identifier:
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