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高血压与肠道微生物群的研究趋势:文献计量与可视化分析(2000 - 2025年)

Hypertension-gut microbiota research trends: a bibliometric and visualization analysis (2000-2025).

作者信息

Chen Qilin, Ren Chunzhen, Shu Chang, Yang Xue, Jiang Hugang, Zhi Xiaodong, Wang Chunling, Liu Kai, Zhao Xinke, Li Yingdong

机构信息

School of Traditional Chinese and Western Medicine, Gansu University of Chinese Medicine, Lanzhou, China.

Gansu Province Key Laboratory of Chinese Medicine for the Prevention and Treatment of Chronic Diseases, Lanzhou, China.

出版信息

Front Microbiol. 2025 Aug 12;16:1543258. doi: 10.3389/fmicb.2025.1543258. eCollection 2025.

Abstract

BACKGROUND

Hypertension is a major global public health challenge affecting over 1.3 billion people. Emerging evidence indicates that gut microbiota regulates blood pressure through metabolic and immune-inflammatory pathways. This provides novel insights into hypertension mechanisms and facilitates targeted interventions. However, research in this field faces three major challenges: (1) fragmented knowledge, (2) limited clinical translation, and (3) unclear developmental trajectories. Consequently, conventional reviews cannot adequately capture its dynamic evolution.

OBJECTIVE

Using publications from the Web of Science Core Collection (2000-2025), we conducted a bibliometric analysis with CiteSpace and VOSviewer to map collaborative networks, analyze research hotspot evolution, identify emerging frontiers, and provide quantitative insights for field advancement.

METHODS

We retrieved 2,827 qualified publications through Boolean logic search, then performed analyses including: annual publication trends, national/institutional/author collaboration networks, keyword co-occurrence and clustering, burst detection, and timeline/mountain range visualizations using CiteSpace and VOSviewer.

RESULTS

Publication trends evolved through three phases: initial accumulation (annual output <50), accelerated growth, and stable maturation (250-450 annually). Driven by technology and clinical needs, China (918) and the US (676) led research, with networks involving Italy, Spain, etc. Academic institutions like the Univ. of Florida and Zhejiang Univ. were pivotal, and key teams (e.g., Yang Tao, Raizada Mohan K.) focused on mechanisms and translation. Research hotspots centered on "gut microbiota" and "blood pressure," forming three modules: metabolic regulation, complication associations, and intervention strategies. Cluster analysis identified 10 groups-including short-chain fatty acids and TMAO-spanning basic to clinical research. Post-2017 foci like , Mendelian randomization, and pulmonary hypertension signal a shift to precision mechanisms and personalized interventions.

CONCLUSION

This study establishes a quantitative analytical framework for hypertension-gut microbiota research, revealing a collaborative landscape led by China and the United States with multidisciplinary integration. We identify metabolic reprogramming and microbiota-targeted interventions as core research priorities, providing theoretical foundations to address clinical translation barriers and advance precision medicine. Future research should strengthen cross-disciplinary collaboration, prioritize investigation of ethnicity-specific microbial signatures and microbiota-drug interactions, and accelerate clinical translation of targeted therapies.

摘要

背景

高血压是一项重大的全球公共卫生挑战,影响着超过13亿人。新出现的证据表明,肠道微生物群通过代谢和免疫炎症途径调节血压。这为高血压机制提供了新的见解,并促进了有针对性的干预措施。然而,该领域的研究面临三大挑战:(1)知识碎片化;(2)临床转化有限;(3)发展轨迹不明确。因此,传统综述无法充分捕捉其动态演变。

目的

利用科学网核心合集(2000 - 2025年)的出版物,我们使用CiteSpace和VOSviewer进行了文献计量分析,以绘制合作网络、分析研究热点演变、识别新兴前沿,并为该领域的发展提供定量见解。

方法

我们通过布尔逻辑搜索检索到2827篇合格出版物,然后进行了包括年度出版趋势、国家/机构/作者合作网络、关键词共现和聚类、突发检测以及使用CiteSpace和VOSviewer进行时间线/山脉可视化等分析。

结果

出版趋势经历了三个阶段:初始积累(年产量<50)、加速增长和稳定成熟(每年250 - 450)。在中国(918篇)和美国(676篇)的技术和临床需求推动下,研究领先,网络涉及意大利、西班牙等国家。像佛罗里达大学和浙江大学这样的学术机构至关重要,关键团队(如杨涛、拉伊扎达·莫汉·K.)专注于机制和转化研究。研究热点集中在“肠道微生物群”和“血压”,形成了三个模块:代谢调节、并发症关联和干预策略。聚类分析确定了10个组,包括从基础到临床研究的短链脂肪酸和氧化三甲胺等。2017年后的焦点,如孟德尔随机化和肺动脉高压,表明向精准机制和个性化干预的转变。

结论

本研究为高血压 - 肠道微生物群研究建立了一个定量分析框架,揭示了由中国和美国主导的多学科整合的合作格局。我们将代谢重编程和以微生物群为靶点的干预确定为核心研究重点,为解决临床转化障碍和推进精准医学提供了理论基础。未来的研究应加强跨学科合作,优先研究特定种族的微生物特征和微生物群 - 药物相互作用,并加速靶向治疗的临床转化。

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