中国组织工程研究 ›› 2025, Vol. 29 ›› Issue (23): 5051-5060.doi: 10.12307/2025.094

• 干细胞相关大数据分析 Stem cell-related big data analysis • 上一篇    

胶质淋巴系统研究的知识图谱与趋势可视化分析

马星怡1,李惠菁2,李  涓1,3,钟冬灵1,张  源1,唐  红4,李雨谿1,金荣疆1   

  1. 成都中医药大学,1养生康复学院,2临床医学院,4针灸推拿学院,四川省成都市   610075;3成都中医药大学附属四川省康复医院,四川省成都市   611135
  • 收稿日期:2024-03-07 接受日期:2024-05-21 出版日期:2025-08-18 发布日期:2024-09-30
  • 通讯作者: 金荣疆,教授,博士生导师,成都中医药大学养生康复学院,四川省成都市 610075; 通讯作者:李雨谿,博士,助理研究员,成都中医药大学养生康复学院,四川省成都市 610075
  • 作者简介:马星怡,女,2000年生,四川省西昌市人,回族,成都中医药大学在读硕士,主要从事胶质淋巴系统、抑郁症方面的研究。
  • 基金资助:
    国家自然科学基金青年科学基金项目(82305363),项目负责人:李雨谿;国家自然科学基金面上项目(82374559),项目负责人:金荣疆;四川省自然科学基金项目(2023NSFSC1824),项目负责人:李雨谿;中国博士后科学基金第73批面上资助项目(2023MD734102),项目负责人:李雨谿

Visualization analysis of knowledge map and trends in glymphatic system research

Ma Xingyi1, Li Huijing2, Li Juan1, 3, Zhong Dongling1, Zhang Yuan1, Tang Hong4, Li Yuxi1, Jin Rongjiang1   

  1. 1School of Health Preservation and Rehabilitation, 2SCollege of Clinical Medicine, 4School of Acupuncture and Massage, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, Sichuan Province, China; 3Affiliated Sichuan Provincial Rehabilitation Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 611135, Sichuan Province, China
  • Received:2024-03-07 Accepted:2024-05-21 Online:2025-08-18 Published:2024-09-30
  • Contact: Jin Rongjiang, Professor, Doctoral supervisor, School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, Sichuan Province, China; Corresponding author: Li Yuxi, PhD, Assistant researcher, School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, Sichuan Province, China
  • About author:Ma Xingyi, Master candidate, School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, Sichuan Province, China
  • Supported by:
    National Natural Science Foundation of China (Young Scientist Fund), No. 82305363 (to LYX); National Natural Science Foundation of China (General Program) No. 82374559 (to JRJ); Natural Science Foundation of Sichuan Province, No. 2023NSFSC1824 (to LYX); China Postdoctoral Science Foundation (The 73rd Batch), No. 2023MD734102 (to LYX)

摘要:

文题释义:

胶质淋巴系统:是大脑中一种特殊的代谢机制,由星形胶质细胞、脑脊液和脑间隙液、血管周围间隙几个重要部分组成,能够清除β-淀粉样蛋白等代谢废物,转运神经营养物质维护大脑稳态。胶质淋巴系统为研究神经系统疾病的发病机制提供了新的视角。
可视化图谱:是通过图形或图像方式展示复杂数据和知识结构的方法,能够简化复杂数据,便于读者通过图谱探索数据间未察觉的联系,从而促进信息的传播和知识的积累。

摘要
背景:大脑的代谢废物清除功能对于维持神经稳态极为关键,代谢废物积累导致的神经稳态失衡是许多中枢神经系统疾病的共同病理学特征。近年来,围绕胶质淋巴系统的研究逐渐成为神经系统领域的研究热点。
目的:旨在通过构建胶质淋巴系统研究的知识图谱,可视化地分析该领域的研究现状、热点及其未来的发展趋势。
方法:采用CiteSpace、VOSviewer软件及R语言环境下的Bibliometrix工具包,对2012年1月至2024年3月Web of Science核心合集数据库中与胶质淋巴系统相关的原始文献进行深入可视化分析,分析内容包括作者、机构、国家、期刊、关键词和共被引文献等。
结果与结论:研究共纳入687篇相关文章,该领域发文量逐年增长,近3年呈现爆发性增长趋势;该研究领域发文量第一的国家、机构、作者分别是美国、美国罗切斯特大学和罗切斯特大学的Maiken Nedergaard教授,发文量第一的期刊是《JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM》,高频、高中心性关键词主要围绕脑脊液流体动力学等作用机制、阿尔茨海默症等神经系统疾病、扩散张量成像等影像学技术等方面,共被引频次最高的文献是一篇胶质淋巴系统的经典综述论文。上述结果表明,胶质淋巴系统的研究是一个新兴而活跃的领域,目前已受到国内外的广泛关注并逐渐从理论研究向临床实践扩展。

关键词: 胶质淋巴系统, 研究现状, 研究热点, 发展趋势, 可视化图谱, CiteSpace, VOSviewer, R语言

Abstract: BACKGROUND: The clearance pathway of metabolic waste in the brain is crucial for maintaining neural homeostasis. The accumulation of metabolic waste disrupts this equilibrium, representing a common pathological feature of many central nervous system diseases. In recent years, research focusing on the glymphatic system has emerged as a hotspot in the nervous system field.  
OBJECTIVE: To construct a knowledge map of glymphatic system research, visually analyze the current state of research, main hotspots, and future development trends within this area.
METHODS: Utilizing CiteSpace, VOSviewer, and the Bibliometrix package in the R language environment, this study conducted an in-depth visual analysis of glymphatic system-related literature from the Web of Science Core Collection database, spanning from January 2012 to March 2024. This analysis included authors, institutions, countries, journals, keywords, and co-citation frequencies. 
RESULTS AND CONCLUSION: A total of 687 related articles were included in this study. The number of publications in this field increased year by year, showing an explosive growth trend in the past three years. The countries, institutions, and authors with the largest number of publications in this research field were the United States, University of Rochester, and Professor Maiken Nedergaard. The journal with the highest number of publications was JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM. The high-frequent and high-central keywords mainly focused on the mechanism such as cerebrospinal fluid hydrodynamics, neurological diseases such as Alzheimer’s disease, and imaging techniques such as diffusion tensor imaging. The literature with the highest co-citation frequency was a classic review of the glymphatic system. The above results show that the research of glymphatic system is an emerging and active field, which has attracted wide attention at home and abroad and gradually expand from theoretical research to clinical practice.

Key words: glymphatic system, current research status, research hotspots, development trends, visualization map, CiteSpace, VOSviewer, R language

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