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结直肠癌与肠道微生物群的可视化分析:2002 年至 2022 年的文献计量学分析。

Visual analysis of colorectal cancer and gut microbiota: A bibliometric analysis from 2002 to 2022.

机构信息

The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.

Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.

出版信息

Medicine (Baltimore). 2023 Nov 3;102(44):e35727. doi: 10.1097/MD.0000000000035727.


DOI:10.1097/MD.0000000000035727
PMID:37933041
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10627710/
Abstract

A growing number of studies have shown that gut microbiota (GM) plays an essential role in the occurrence and development of colorectal cancer (CRC). The current body of research exploring the relationship between CRC and GM is vast. Nevertheless, bibliometric studies in this area have not yet been reported. This study aimed to explore the hotspots and frontiers of research on GM and CRC in the past 20 years, which may provide a reference for researchers in this field. The Web of Science Core Collection database was searched for publications on CRC and GM from 2002 to 2022. The scientometric softwares CiteSpace and VOSviewer were used to visually analyze the countries, institutions, authors, journals, and keywords involved in the literature. Keywords co-occurrence, cluster, and burst analysis were utilized to further explore the current state and development trends of research on GM and CRC. A total of 2158 publications were included in this study, with a noticeably rising annual publication trend. The majority of these papers are from 80 nations, primarily China and the USA. J Yu was the most active author and WS Garrett has the highest citation. Among all institutions, Shanghai Jiao Tong University has the largest number of papers. Most of the publications were published in the International Journal of Molecular Sciences, with Science being the most frequently cited journal. The 4 main clusters mainly involved probiotics, inflammation, molecular mechanisms, and research methods. Current research hotspots included "Fusobacterium nucleatum," "Escherichia coli," etc. Newly emerging research has focused predominantly on immune response, gene expression, and recent strategies for the treatment of CRC with GM. The relationship between GM and CRC will continue to be a hot research area. Changes in the composition of GM in patients with CRC, the potential molecular mechanisms as well as probiotics and natural products used in the treatment of CRC have been the focus of current research and hotspots for future studies.

摘要

越来越多的研究表明,肠道微生物群(GM)在结直肠癌(CRC)的发生和发展中起着至关重要的作用。目前,探索 CRC 与 GM 之间关系的研究领域非常广泛。然而,该领域尚未有文献计量学研究报告。本研究旨在探讨过去 20 年 GM 与 CRC 研究的热点和前沿,为该领域的研究人员提供参考。在 Web of Science 核心合集数据库中检索了 2002 年至 2022 年关于 CRC 和 GM 的出版物。使用科学计量软件 CiteSpace 和 Vosviewer 对文献所涉及的国家、机构、作者、期刊和关键词进行可视化分析。利用关键词共现、聚类和突发分析进一步探讨 GM 和 CRC 研究的现状和发展趋势。本研究共纳入 2158 篇文献,呈明显上升的年度发表趋势。这些论文主要来自 80 个国家,主要是中国和美国。J Yu 是最活跃的作者,WS Garrett 的引用率最高。在所有机构中,上海交通大学发文量最大。大部分论文发表在《国际分子科学杂志》上,被引频次最高的期刊是《科学》。4 个主要聚类主要涉及益生菌、炎症、分子机制和研究方法。目前的研究热点包括“具核梭杆菌”、“大肠杆菌”等。新出现的研究主要集中在免疫反应、基因表达以及 GM 治疗 CRC 的最新策略上。GM 与 CRC 的关系将继续成为一个热门研究领域。CRC 患者 GM 组成的变化、潜在的分子机制以及用于治疗 CRC 的益生菌和天然产物一直是当前研究的重点和未来研究的热点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/2d5cefc5d0d5/medi-102-e35727-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/415dcd74afca/medi-102-e35727-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/9363217edd26/medi-102-e35727-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/427c5847bb21/medi-102-e35727-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/960a166f604c/medi-102-e35727-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/ac94473b1130/medi-102-e35727-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/6f7bfc0626fb/medi-102-e35727-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/2d5cefc5d0d5/medi-102-e35727-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/415dcd74afca/medi-102-e35727-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/9363217edd26/medi-102-e35727-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/427c5847bb21/medi-102-e35727-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/960a166f604c/medi-102-e35727-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/ac94473b1130/medi-102-e35727-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/6f7bfc0626fb/medi-102-e35727-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/10627710/2d5cefc5d0d5/medi-102-e35727-g007.jpg

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引用本文的文献

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Application of Artificial Intelligence in the diagnosis and treatment of colorectal cancer: a bibliometric analysis, 2004-2023.

Front Oncol. 2024-10-11

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