Evidence Hub

Research hotspots and trends of GLP-1 receptor agonists in the treatment of Parkinson's disease: a bibliometric analysis

Yu T, Mai Q, Wang Q, Pan M, Xiong Y, Kuang L, Liu H

Frontiers in neuroscience, 2026

Abstract

Background: PD is still managed symptomatically with levodopa, and no disease-modifying therapy is available, making effective treatment difficult. In recent years, preclinical and some clinical evidence have shown that glucagon-like peptide-1 receptor agonists (GLP-1 receptor agonists, GLP-1 RAs) can cross to varying degrees the blood-brain barrier and exert neuroprotective effects, including anti-inflammatory, antioxidant, and insulin-sensitizing actions. They also reduce pathological protein aggregation, regulate mitochondrial function, and enhance autophagy, demonstrating their therapeutic potential for PD. Therefore, systematically reviewing the research status, hotspots, and trends of GLP-1 receptor agonists in PD is crucial for understanding the dynamic development of this field.

Methods: Systematic searches were performed in the Web of Science Core Collection and Scopus databases to identify literature on GLP-1 receptor agonists and PD. Bibliometric analyses were conducted using CiteSpace and VOSviewer to evaluate publication trends, collaborative networks, co-citation patterns, and research hotspots. The search period spanned from database inception to April 14, 2026.

Results: A total of 282 articles from WoS and Scopus were included for bibliometric analysis. The top three countries are China, the United States, and the United Kingdom. Major institutions include University College London, Shanxi Medical University, Henan University of Chinese Medicine, and…

How strong is the evidence?

Evidence Hub reads this as a systematic review. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free