Wei Wen-Juan, Shi Bei, Guan Xin, Ma Jing-Yun, Wang Ya-Chen, Liu Jing
Stem Cell Clinical Research Center, the First Affiliated Hospital of Dalian Medical University; National Joint Engineering Laboratory, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China.
Department of Physiology, China Medical University, Shenyang, Liaoning Province, China.
Neural Regen Res. 2019 Oct;14(10):1823-1832. doi: 10.4103/1673-5374.257535.
Neural stem cells, which are capable of multi-potential differentiation and self-renewal, have recently been shown to have clinical potential for repairing central nervous system tissue damage. However, the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically. In this study, we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word. Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies. Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder. We identified 78 high-frequency Medical Subject Heading (MeSH) terms. A visual matrix was built with the repeated bisection method in gCLUTO software. A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software. The analyses demonstrated that in the 6-year period, hot topics were clustered into five categories. As suggested by the constructed strategic diagram, studies related to cytology and physiology were well-developed, whereas those related to neural stem cell applications, tissue engineering, metabolism and cell signaling, and neural stem cell pathology and virology remained immature. Neural stem cell therapy for stroke and Parkinson's disease, the genetics of microRNAs and brain neoplasms, as well as neuroprotective agents, Zika virus, Notch receptor, neural crest and embryonic stem cells were identified as emerging hot spots. These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.
神经干细胞能够进行多能分化和自我更新，最近已显示出在修复中枢神经系统组织损伤方面的临床潜力。然而，尚未通过文献计量学方法研究人类神经干细胞的主题趋势和知识结构。在本研究中，我们以“神经干细胞”为检索词，从2013年至2018年的PubMed数据库中检索到2742篇文章。进行共词分析以统计量化人类神经干细胞相关研究的特征和热门主题。使用文献共现矩阵构建器生成文献数据矩阵。我们确定了78个高频医学主题词（MeSH）。在gCLUTO软件中使用重复二分法构建视觉矩阵。使用Ucinet 6.0软件和GraphPad Prism 5软件生成社会网络分析网络。分析表明，在这6年期间，热门话题被聚类为五类。如构建的战略图所示，与细胞学和生理学相关的研究发展良好，而与神经干细胞应用、组织工程、代谢和细胞信号传导以及神经干细胞病理学和病毒学相关的研究仍不成熟。用于中风和帕金森病的神经干细胞治疗、微小RNA和脑肿瘤的遗传学，以及神经保护剂、寨卡病毒、Notch受体、神经嵴和胚胎干细胞被确定为新兴热点。这些未充分发展的主题和热门话题是人类神经干细胞新研究的潜在重点关注领域。
