Evidence map›Paper›PMID 40291753›Full record

ReviewTherapeutic advances in neurological disorders2025

The therapeutic effects and mechanisms of glucagon-like peptide-1 receptor agonists in neurocognitive disorders.

Junchen Si, Kai Yu, Jiheng Hao, Jiyue Wang, Liyong Zhang

Abstract readReview
In one paragraph

Review in Therapeutic advances in neurological disorders, 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. Article
  2. Article
  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

5 authors.

Junchen SiDepartment of Neurosurgery, Liaocheng People's Hospital, Liaocheng, Shandong, China.ORCID https://orcid.org/0000-0002-9864-9486
Kai YuDepartment of Burn and Plastic Surgery, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Jiheng HaoDepartment of Neurosurgery, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Jiyue WangDepartment of Neurosurgery, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Liyong ZhangDepartment of Neurosurgery, Liaocheng People's Hospital, No. 45 Huashan Road, Liaocheng, Shandong 252000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic cerebral hypoperfusion (CCH) represents a key pathogenic contributor to neurocognitive disorders. It can lead to multifaceted pathological alterations including neuroinflammation, neuronal apoptosis, blood-brain barrier disruption, synaptic plasticity deficits, and mitochondrial dysfunction. The glucagon-like peptide-1 receptor (GLP-1R), ubiquitously expressed across multiple organ systems, exerts neuroprotective effects by maintaining intracellular homeostasis and mitigating neuronal damage triggered by oxidative stress, inflammatory cascades, apoptotic signaling, and ischemic insults. Furthermore, GLP-1R activity is modulated by gut microbiota composition and short-chain fatty acid abundance, implicating the gut-brain axis in its regulatory influence on neurological function. This review systematically examines the pathophysiological mechanisms underlying CCH and highlights the therapeutic potential of GLP-1R activation. Specifically, GLP-1R-targeted interventions attenuate hypoperfusion-induced damage through pleiotropic pathways and gut-brain crosstalk, thereby offering novel perspectives for advancing both fundamental research and clinical management of neurocognitive disorders.

Indexed as

chronic cerebral hypoperfusionglucagon-like peptide-1 (GLP-1)neurocognitive disordersneuroinflammationneuroprotective

Identifiers

PMID40291753
PMCPMC12033604

What OpenQuestion 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 OpenQuestion graph.