Ogasawara Naruaki
The Japanese Society of Internal Medicine, Editorial Department, Tokyo, Japan.
Arq Gastroenterol. 2025 Sep 5;62:e25023. doi: 10.1590/S0004-2803.24612025-023. eCollection 2025.
This study aims to analyze research trends and emerging insights into gut microbiota studies from 2015 to 2024 through bibliometric analysis techniques. By examining bibliographic data from the Web of Science (WoS) Core Collection, it seeks to identify key research topics, evolving themes, and significant shifts in gut microbiota research. The study employs co-occurrence analysis, principal component analysis (PCA), and burst detection analysis to uncover latent patterns and the development trajectory of this rapidly expanding field.
This study uses a bibliometric approach to analyze 89,512 gut microbiota research articles published between 2015 and 2024 in the WoS Core Collection. Data preprocessing involved cleaning bibliographic data and identifying the 50 most frequent keywords. A co-occurrence matrix was constructed to capture keyword relationships, and a heatmap visualization illustrated these interconnections. PCA applied for dimensionality reduction, visualizing keyword distributions. Burst detection analysis using Kleinberg's algorithm identified rapidly growing research topics. Finally, the study contextualized its findings by linking results to broader research developments and discussing future research directions and potential opportunities.
The bibliometric analysis of gut microbiota research from 2015 to 2024 revealed significant trends and emerging themes. The total number of publications on gut microbiota increased approximately 5.82 times during this period, indicating a rapid expansion of the field. Co-occurrence analysis identified key thematic clusters, with "diet", "microbiome", and "immune function" emerging as central research topics. PCA further clarified topic relationships, revealing strong associations between gut microbiota and metabolic diseases, inflammation, and neurological disorders. Burst analysis of key terms demonstrated a shift in research focus, with increasing attention on the role of gut microbiota in precision medicine, neuroinflammation, and host-microbiome interactions. These findings provide a comprehensive overview of gut microbiota research trends, offering insights into critical developments and guiding future investigations into microbiome-based therapies and disease prevention.
This study provides a comprehensive bibliometric analysis of gut microbiota research from 2015 to 2024, highlighting key trends and emerging directions. The findings show that gut microbiota studies have expanded to include diet, health, and disease. The strong link between "diet" and "microbiota" in this study suggests dietary interventions are central to this future research. Rapidly growing keywords like "intestinal", "disease", and "mice" indicate a focus on translational and experimental research. These insights reveal the shifting landscape of gut microbiota research and emphasize the need for further exploration of diet-microbiota interactions, personalized nutrition, and clinical applications.
本研究旨在通过文献计量分析技术，分析2015年至2024年肠道微生物群研究的趋势和新见解。通过检查科学网（WoS）核心合集的文献数据，旨在确定肠道微生物群研究的关键研究主题、不断演变的主题以及重大转变。该研究采用共现分析、主成分分析（PCA）和突发检测分析，以揭示这一快速发展领域的潜在模式和发展轨迹。
本研究采用文献计量方法，分析了2015年至2024年发表在WoS核心合集中的89512篇肠道微生物群研究文章。数据预处理包括清理文献数据和识别50个最常用的关键词。构建共现矩阵以捕捉关键词之间的关系，并通过热图可视化展示这些相互联系。PCA用于降维，可视化关键词分布。使用Kleinberg算法的突发检测分析确定了快速发展的研究主题。最后，该研究通过将结果与更广泛的研究进展联系起来，并讨论未来的研究方向和潜在机会，对其发现进行了背景化。
对2015年至2024年肠道微生物群研究的文献计量分析揭示了显著趋势和新出现的主题。在此期间，肠道微生物群研究的出版物总数增加了约5.82倍，表明该领域的快速扩展。共现分析确定了关键的主题集群，“饮食”、"微生物组 "和 "免疫功能 "成为核心研究主题。PCA进一步阐明了主题关系，揭示了肠道微生物群与代谢疾病、炎症和神经疾病之间的紧密联系。对关键术语的突发分析表明研究重点发生了转变，对肠道微生物群在精准医学、神经炎症和宿主-微生物组相互作用中的作用的关注日益增加。这些发现全面概述了肠道微生物群的研究趋势，为关键进展提供了见解，并为基于微生物组的治疗和疾病预防的未来研究提供了指导。
本研究对2015年至2024年肠道微生物群研究进行了全面的文献计量分析，突出了关键趋势和新出现的方向。研究结果表明，肠道微生物群研究已扩展到包括饮食、健康和疾病。本研究中 "饮食 "和 "微生物群 "之间的紧密联系表明，饮食干预是未来这项研究的核心。像 "肠道 "、"疾病 "和 "小鼠 "等快速增长的关键词表明对转化和实验研究的关注。这些见解揭示了肠道微生物群研究格局的变化，并强调需要进一步探索饮食-微生物群相互作用、个性化营养和临床应用。
