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DOI 10.1111/nyas.70311

Медицинская библиотека · Annals of the New York Academy of Sciences · 2026

Phase Separation Drives Pathological Aggregation in Neurodegenerative Diseases: A 15-Year Bibliometric Landscape (2009-2024).

Zhang Chanyuan, Chen Siyao, Zhao He, Wang Yan, Zhou Lingyan, Fan Haixia, Sun Yan

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Аннотация

Liquid-liquid phase separation (LLPS), a biophysical driver of membraneless organelle assembly, is central to pathological aggregation in neurodegenerative diseases. Initially linked to amyotrophic lateral sclerosis (ALS), LLPS dysregulation has now been implicated in Alzheimer's, Parkinson's, and frontotemporal dementia, where aberrant transitions convert dynamic condensates into insoluble fibrils. To systematically map this landscape, we employed CiteSpace-based bibliometrics to analyze 784 Web of Science articles from 2009 to 2024. Our analyses reveal dominant contributions from the United States, China, and Germany, with collaborative networks focusing on protein dynamics. Key hotspots include LLPS-driven aggregation of TARDBP (TDP-43), FUS, and α-synuclein, alongside stress granule dysfunction and nucleocytoplasmic transport defects. Emerging frontiers highlight therapeutic strategies targeting pathological condensates utilizing small-molecule chaperones and posttranslational modification modulators to restore cellular homeostasis. Our findings underscore LLPS as a critical axis bridging molecular pathology and translational innovation. The field is rapidly shifting from mechanistic exploration to therapeutic applications, emphasizing interventions to halt or reverse aggregation. By delineating global trends and changing priorities, our study highlights the transformative potential of phase-targeted interventions and provides a roadmap of groundbreaking interdisciplinary research into neurodegenerative disorders.

Для цитирования: Zhang Chanyuan, Chen Siyao, Zhao He, Wang Yan, Zhou Lingyan, Fan Haixia, Sun Yan. Phase Separation Drives Pathological Aggregation in Neurodegenerative Diseases: A 15-Year Bibliometric Landscape (2009-2024).. Annals of the New York Academy of Sciences. 2026. DOI: 10.1111/nyas.70311.

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