Abstract
To explore the hot topics and development trends in the field of Alzheimer's disease
(AD) through Mendelian randomization (MR) studies. Methods: Relevant English literature on MR studies of
AD was retrieved from the Web of Science Core Collection database, spanning from the inception of the
database to March 2024. CiteSpace 6.2.R4 was utilized for visual analysis of authors, countries, institutions,
co-citation of documents, co-occurrence of keywords, and keyword clustering, and a knowledge map was
constructed. Additionally, the PatSnap Global New Drug Intelligence Database was consulted to investigate the
drug development status of biomarkers related to AD. Results: A total of 347 English articles were included
after deduplication, with an increasing trend in annual publication volume. British scholar Ben-shlomo Yoav had
the highest betweenness centrality. The top three countries in terms of publication volume were China, the
United States, and the United Kingdom, while the top three countries in betweenness centrality were Poland,
France, and Canada. China had the highest publication volume but only collaborated with the United States and
the Netherlands. The top three institutions were University College London, Harvard University, and Fudan
University. In the keyword clustering map, "#0 risk factors" was most closely related to AD biomarkers, with
amyloid precursor protein (APP) and tau (TAU) emerging as more promising drug targets. Conclusion: MR
studies on AD are mainly conducted in China, the UK, and the US. The primary research focus is on risk factors
for AD onset, such as amyloid protein in cerebrospinal fluid. Related studies have identified APP and TAU as
more important biomarkers and drug targets.
Key words
Alzheimer's disease; Mendelian randomization; visual analysis; biomarker
Cite this article
Download Citations
Visual Analysis of Reasearch Hotspots in the Field of Alzheimer's Disease Based on Mende⁃
lian Randomization[J]. Neural Injury and Functional Reconstruction. 2025, 20(9): 517-522
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}