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透过表面现象:通过文献计量分析追踪抑郁症炎症机制的演变

Beyond the Surface: Tracing the Evolution of Inflammatory Mechanism in Depression through Bibliometric Analysis.

作者信息

Xu Zhang-Yang, Zhang Ting, Gong Hong, Zheng Hong, Liu Mei-Shan, Guo Bing-Hang, Wang Yun-Xia, Su Wen-Jun

机构信息

Second Military Medical University Department of Stress Medicine, Faculty of Psychology;Department of Nautical Psychology, Faculty of Psychology Shanghai China.

Department of Nautical Psychology, Faculty of Psychology, Second Military Medical University, Shanghai 200433, China.

出版信息

Endocr Metab Immune Disord Drug Targets. 2025 Jan 8. doi: 10.2174/0118715303325541241024060229.

DOI:10.2174/0118715303325541241024060229
PMID:39791171
Abstract

BACKGROUND

Depression is a common mental illness that has become a major economic burden worldwide. Recently, increasing evidence has highlighted the inflammatory mechanism of depression. In order to understand the research status of this field, this study used the bibliometric analysis method to overview the research content and progress, as well as analyze the development trend and limitations.

METHODS

In this study, articles and reviews were included in the specific search strategy. The matched papers were exported from the Web of Science database. CiteSpace 6.3 R1 and Bibliometrix (R package) were utilized to generate bibliometric and knowledge maps.

RESULTS

A total of 25,063 articles were included in this study. The number of publications in this field has gradually increased, especially in recent years. These papers come from 156 countries, led by the United States and China mainland. The leading research institution is the University of Toronto (Canada). Brain Behavior and Immunity is the journal with the most publications and the most frequently co-cited journals. Among 91,100 authors, Maes M has the most publications and co-citations. According to the keywords burst and co-cited reference analysis, the hotspots in the field in recent years include kynurenine, c-reactive protein, neuroinflammation, and gut microbiota.

CONCLUSION

Although abundant academic achievements have been made on the inflammatory mechanism of depression, there is still a long way to go before these research results can be applied to clinical practice. Strengthening international academic exchanges and cooperation may promote breakthroughs in this field.

摘要

背景

抑郁症是一种常见的精神疾病,已成为全球主要的经济负担。最近,越来越多的证据突出了抑郁症的炎症机制。为了了解该领域的研究现状,本研究采用文献计量分析方法来概述研究内容和进展,并分析发展趋势和局限性。

方法

在本研究中,文章和综述被纳入特定的检索策略。匹配的论文从Web of Science数据库导出。使用CiteSpace 6.3 R1和Bibliometrix(R包)生成文献计量和知识图谱。

结果

本研究共纳入25,063篇文章。该领域的出版物数量逐渐增加,尤其是近年来。这些论文来自156个国家,以美国和中国大陆为首。领先的研究机构是加拿大多伦多大学。《Brain Behavior and Immunity》是发表文章最多且被共同引用最多的期刊。在91,100位作者中,Maes M的出版物和共同引用最多。根据关键词突现和共同引用参考文献分析,近年来该领域的热点包括犬尿氨酸、C反应蛋白、神经炎症和肠道微生物群。

结论

尽管在抑郁症炎症机制方面已经取得了丰富的学术成果,但这些研究结果应用于临床实践仍有很长的路要走。加强国际学术交流与合作可能会推动该领域取得突破。

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