Evidence mapPaperPMID 41356006Full record

ReviewFrontiers in endocrinology2025

GLP-1 receptor agonists in Alzheimer's and Parkinson's disease: endocrine pathways, clinical evidence, and future directions.

Ayush Gandhi, Alireza Parhizgar

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ayush GandhiDepartment of Hospital Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Alireza ParhizgarDepartment of Emergency Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Initially developed for type 2 diabetes and obesity, glucagon-like peptide-1 receptor agonists (GLP-1RAs) are now emerging as promising candidates for modifying the course of neurodegenerative diseases. This potential stems from the presence of GLP-1 and its receptors within the central nervous system (CNS), where their signaling activity influences critical processes like synaptic plasticity, neuroinflammation, insulin signaling, and cellular energy management. In fact, preclinical models of both Alzheimer's disease (AD) and Parkinson's disease (PD) have shown that GLP-1RAs can reduce neuroinflammation, improve mitochondrial function, and enhance the clearance of toxic proteins (proteostasis), leading to benefits in cognition and the survival of dopaminergic neurons. Yet, when tested in humans, the picture has been more nuanced and less straightforward. Early clinical trials in AD have produced mixed cognitive signals, though they have shown intriguing biological effects, such as preserved cerebral glucose metabolism with liraglutide on FDG-PET scans. In contrast, the evidence in PD has been more consistent, with agents like exenatide and lixisenatide demonstrating motor benefits, although one trial with a pegylated exendin (NLY01) did not meet its primary endpoint. The definitive test will come from large, ongoing phase 3 programs, such as the EVOKE and EVOKE+ trials for semaglutide. Should these trials are successful, GLP-1RAs could become a cornerstone of earlier, mechanism-based intervention strategies for neurodegenerative diseases.

Indexed as

Alzheimer DiseaseGlucagon-Like Peptide-1 Receptor AgonistsParkinson DiseaseAnimalsHumansSignal TransductionGlucagon-Like Peptide-1 Receptor AgonistsAlzheimerGLP - 1insulin resistanceneurodegenerative diseaseParkinson

Identifiers

PMID41356006
PMCPMC12675206

What Socratic holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.