NeuralCipher Research overview
The text below is the source article’s original abstract under a verified reuse license. cc by
BackgroundNeuroinflammation is a core mechanism in the pathogenesis of Parkinson's disease (PD). Research on PD and neuroinflammation has been steadily increasing. This study aims to explore and analyze the current status, hotspots, and future directions of neuroinflammation-associated research in PD.MethodData were retrieved from the Web of Science and PubMed databases. CiteSpace, VOSviewer, and the R package bibliometrix were used for data analysis and visualization.ResultsPublications on neuroinflammation in PD showed an upward trend. China had the most publications, while Norway exhibited the greatest influence. Shanghai Jiao Tong University was the most prolific institution, whereas Arizona State University demonstrated the strongest influence. The International Journal of Molecular Sciences was the most prolific journal in this field, and Cell had the strongest impact. The most productive author was Hong, Jau-Shyong, and the most influential author was Block, Michelle L. High-frequency keywords included PD, neuroinflammation, microglia, oxidative stress, alpha-synuclein, neurodegeneration, inflammation, and mouse models. Gut microbiota has become a recent focus of research.ConclusionOver the past two decades, research on neuroinflammation in PD has been continuously increasing. The research hotspots included microglia, oxidative stress, α-synuclein, brain-gut axis, and gut microbiota. This field is developing toward a multi-dimensional and in-depth exploration of mechanisms.
Scientific assessment
Research question
Assess the question within the original study’s scope.
Methods & sample
Check the source article for study design and sample details.
Key findings
An editorially approved findings summary is not yet published for this record.
Limitations
Generalizability, bias and clinical meaning require separate assessment.
Methods, samples and clinical conclusions are not inferred from bibliographic metadata.