Chen Xulin, Wang Xian, Li Caijuan, Zhang Yao, Feng Shanwu, Xu Shiqin
Department of Anesthesiology, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, China.
Front Pharmacol. 2024 Jun 21;15:1394730. doi: 10.3389/fphar.2024.1394730. eCollection 2024.
There have been numerous studies on NMDA receptors as therapeutic targets for depression. However, so far, there has been no comprehensive scientometric analysis of this field. Thus, we conducted a scientometric analysis with the aim of better elucidating the research hotspots and future trends in this field.
Publications on NMDAR in Depression between 2004 and 2023 were retrieved from the Web of Science Core Collection (WoSCC) database. Then, VOSviewer, CiteSpace, Scimago Graphica, and R-bibliometrix-were used for the scientometric analysis and visualization.
5,092 qualified documents were identified to scientometric analysis. In the past 20 years, there has been an upward trend in the number of annual publications. The United States led the world in terms of international collaborations, publications, and citations. 15 main clusters were identified from the co-cited references analysis with notable modularity (Q-value = 0.7628) and silhouette scores (S-value = 0.9171). According to the keyword and co-cited references analysis, treatment-resistant depression ketamine (an NMDAR antagonist), oxidative stress, synaptic plasticity, neuroplasticity related downstream factors like brain-derived neurotrophic factor were the research hotspots in recent years.
As the first scientometric analysis of NMDAR in Depression, this study shed light on the development, trends, and hotspots of research about NMDAR in Depression worldwide. The application and potential mechanisms of ketamine in the treatment of major depressive disorder (MDD) are still a hot research topic at present. However, the side effects of NMDAR antagonist like ketamine have prompted research on new rapid acting antidepressants.
关于N-甲基-D-天冬氨酸（NMDA）受体作为抑郁症治疗靶点的研究众多。然而，迄今为止，该领域尚未进行全面的科学计量分析。因此，我们进行了一项科学计量分析，旨在更好地阐明该领域的研究热点和未来趋势。
从科学引文索引核心合集（WoSCC）数据库中检索2004年至2023年期间关于抑郁症中NMDAR的出版物。然后，使用VOSviewer、CiteSpace、Scimago Graphica和R-bibliometrix进行科学计量分析和可视化。
共识别出5092篇符合科学计量分析的文献。在过去20年中，年出版物数量呈上升趋势。美国在国际合作、出版物和引用方面领先世界。通过共被引参考文献分析确定了15个主要聚类，具有显著的模块性（Q值 = 0.7628）和轮廓系数（S值 = 0.9171）。根据关键词和共被引参考文献分析，难治性抑郁症、氯胺酮（一种NMDAR拮抗剂）、氧化应激、突触可塑性、与神经可塑性相关的下游因子如脑源性神经营养因子是近年来的研究热点。
作为对抑郁症中NMDAR的首次科学计量分析，本研究揭示了全球范围内抑郁症中NMDAR研究的发展、趋势和热点。氯胺酮在治疗重度抑郁症（MDD）中的应用及其潜在机制目前仍是一个热门研究话题。然而，氯胺酮等NMDAR拮抗剂的副作用促使人们对新型速效抗抑郁药进行研究。
