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Article

Bibliometric and Visualized Analysis of Gut Microbiota and Hypertension Interaction Research Published from 2001 to 2024

1
School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
2
Department of Pediatrics, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710004, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Microorganisms 2025, 13(7), 1696; https://doi.org/10.3390/microorganisms13071696
Submission received: 20 June 2025 / Revised: 15 July 2025 / Accepted: 16 July 2025 / Published: 18 July 2025
(This article belongs to the Special Issue Effects of Diet and Nutrition on Gut Microbiota)

Abstract

A comprehensive bibliometric analysis of literature is imperative to elucidate current research landscapes and hotspots in the interplay between gut microbiota and hypertension, identify knowledge gaps, and establish theoretical foundations for the future. We used publications retrieved from the Web of Science Core Collection (WoSCC) and SCOPUS databases (January 2001–December 2024) to analyze the annual publication trends with GraphPad Prism 9.5.1, to evaluate co-authorship, keywords clusters, and co-citation patterns with VOSviewer 1.6.20, and conducted keyword burst detection and keyword co-occurrence utilizing CiteSpace v6.4.1. We have retrieved 2485 relevant publications published over the past 24 years. A 481-fold increase in global annual publications in this field was observed. China was identified as the most productive country, while the United States demonstrated the highest research impact. For the contributor, Yang Tao (University of Toledo, USA) and the University of Florida (USA) have emerged as the most influential contributors. Among journals, the highest number of articles was published in Nutrients (n = 135), which also achieved the highest citation count (n = 5397). The emergence of novel research hotspots was indicated by high-frequency keywords, mainly “hypertensive disorders of pregnancy”, “mendelian randomization”, “gut-heart axis”, and “hepatitis B virus”. “Trimethylamine N-oxide (TMAO)” and “receptor” may represent promising new research frontiers in the gut microbiota–hypertension nexus. The current research trends are shifting from exploring the factors influencing gut microbiota and hypertension to understanding the underlying mechanisms of these factors and the potential therapeutic applications of microbial modulation for hypertension management.

1. Introduction

Hypertension, a chronic cardiovascular disorder characterized by persistently elevated systemic arterial pressure (≥140/90 mmHg), represents a major global health challenge [1,2]. This condition serves as a primary risk factor for stroke, ischemic heart disease, and chronic kidney disease. With hypertension and related complications claiming over 10 million lives annually, their prevention and management have emerged as critical priorities in global public health initiatives. According to the World Health Organization, it is estimated that 1.28 billion adults worldwide have hypertension. Only 46% of patients with hypertension have been diagnosed and treated, which is one of the leading causes of premature deaths worldwide [3].
Hypertension is a multifactorial disorder resulting from complex interactions between genetic and environmental factors [4]. As an interface between environmental exposures and host physiology, gut microbiota plays a pivotal role in developing various metabolic disorders, including hypertension [5]. Accumulating evidence has established a robust association between gut microbial dysbiosis and hypertension pathogenesis [4,6]. Characteristic alterations include reduced microbial diversity, increased ratio of Firmicutes/Bacteroidetes, and decreased production of short-chain fatty acids (SCFAs) such as acetate and butyrate [7,8]. Experimental studies of angiotensin II-induced hypertensive rat models have demonstrated that these dysbiotic patterns persist during hypertension development; notably, minocycline administration was shown to concurrently restore gut microbial homeostasis and attenuate blood pressure elevation [7]. These findings suggest that targeted modulation of gut microbiota may represent a promising therapeutic strategy for hypertension management through fecal microbiota transplantation, antibiotic therapy, or probiotic supplementation [9,10].
Hypertension is generally classified into two types based on its cause: primary hypertension and secondary hypertension. Secondary hypertension usually has a clear cause, such as thyroid dysfunction, chronic kidney disease, endocrine disorders, atherosclerosis, etc. [11]. This type of hypertension often shows significant improvement in symptoms after the primary cause is treated. However, in clinical practice, primary hypertension is more commonly diagnosed. The pathogenesis of primary hypertension is not fully understood yet. The mechanisms that have been confirmed by current research include abnormal renin–angiotensin–aldosterone system (RAAS), abnormal kinin–kallikrein system (KKS), vascular endothelial dysfunction, oxidative stress, inflammation, etc. [12]. Improving hypertension through the improvement of the intestinal flora can mainly be achieved by alleviating these abnormal effects. In primary hypertensive rats, it was found that the intestinal lactobacilli are significantly reduced; the CD4+, IL-17A+, and Th17 cells in the intestinal immune system are increased; and the intestinal barrier is damaged. However, when probiotics such as Bifidobacteria and short-chain fatty acid butyrate are supplemented, these conditions are improved to a certain extent [13].
Despite significant advances in understanding the interplay of gut microbiota and hypertension, the underlying molecular mechanisms and optimal therapeutic strategies remain to be fully elucidated. While many studies have explored this association, primarily focused on summarizing current findings and mechanistic hypotheses [4,14,15,16], they lack comprehensive visualization and an evolutionary analysis of research trends.
The bibliometrics constitute a quantitative analytical methodology that systematically evaluates scientific literature, including publication chronology, authorship networks, institutional affiliations, geographic distributions, and keywords evolution [17]. The rapid development of bibliometrics has led to the emergence of specialized visualization software capable of extracting and analyzing publication data to generate knowledge maps of research trends and hotspots [18] and evidence-based guidance for future research prioritization [17,19]. Here, a systematic bibliometric evaluation of gut microbiota and hypertension was applied to find valuable insights into research hotspots, knowledge gaps, and emerging directions to guide future investigations [20].

2. Methods

2.1. Data Source

The databases searched included Scopus and the Web of Science Core Collection (WoSCC) [21,22]. A review was conducted of all fully published papers that appeared in biomedical journals. It included all types of evidence, such as descriptive studies, observational studies, experimental studies, qualitative studies, and systematic reviews, in order to account for all the existing evidence. The bibliometric analysis of the literature did not include electronic publications published ahead of print, since the ultimate published dates for such publications are not known. The exported records contained complete bibliographic data in the “Plain text file” format, including the “Full Record and Cited Reference” from WoSCC, and complete bibliographic data in the “csv” format, including the full record from Scopus.

2.2. Search Strategy, Eligibility Criteria, and Data Refinement

The study inclusion criteria and complete search strategy are presented in Figure 1. The literature search and selection of publications were conducted based on topic relevance, TS/TITLE-ABS-KEY = (“gut microbiota” OR “intestinal microbiota” OR “intestinal flora” OR “gut flora”) AND TS/TITLE-ABS-KEY = (“hypertension” OR “antihypertensive”). The inclusion criteria were as follows:
(1)
Publication Type: “article” or “review article”;
(2)
Publication Year Period: 1 January 2001–31 December 2024;
(3)
Language: English;
(4)
Exported Bibliographic Data: Publication title, Publication year, Author names, Country/Region, Institutional affiliations, Author Keywords, and Citation metrics.
After removing the duplicates, two investigators (JHM and WHS) independently reviewed the titles, abstracts, and references of the articles. All publication information was cross-checked, and the disagreements were resolved by a joint discussion with the senior investigators (YC and BH).
Figure 1. Flow chart of screening publications.
Figure 1. Flow chart of screening publications.
Microorganisms 13 01696 g001

2.3. Data Analysis and Visualization

Bibliometric analysis employs mathematical and statistical methodologies to systematically quantify and evaluate scholarly publications. It permits comprehensive evaluation of research trajectories across multiple dimensions, including temporal trends, collaborative networks, and research hotspots [17].
GraphPad Prism 9.5.1 was utilized for analyzing annual publication trends and predicting the number of publications in 2025 using polynomials in the least squares method. VOSviewer 1.6.20 was applied for three types of network analyses (co-authorship, co-occurrence, and co-citation) [23,24] and CiteSpace 6.4.1 was employed for burst detection analysis to identify the emerging research frontiers [25]. Specifically, co-authorship analysis examined publication outputs, collaborative networks, and citation patterns among authors, institutions, and countries. The co-occurrence analysis quantified conceptual relationships through keyword frequency and cluster analysis, revealing research trends and hotspots [25,26]. Co-citation analysis traced academic networks to identify established research groups, productive regions, and influential journals, providing theoretical support for research planning and academic development [20].
During the keyword burst analysis, the emergence detection algorithm in CiteSpace 6.4.1 was able to identify burst concepts and emerging keywords at the forefront of research [27]. Betweenness centrality degree (BCD) refers to the centrality of the nodes; the higher the centrality degree, the greater the influence of the node. Nodes with BCD of more than 0.1 are usually regarded as key nodes or transformative nodes in a certain field. In VOSviewer, Total Link Strength is a comprehensive indicator that measures the strength of the connections between a certain node (such as a keyword, author, or institution) and other nodes in the network; the larger the total link strength is, the stronger the centrality of this node in the network will be [28]. In visual network diagrams, the size of the node is proportional to the number of publications or the frequency of keyword occurrences. In the publication and citation overlay map of a country/region/institution/journal, node size corresponds to publication output, with larger nodes indicating a higher number of published articles. Node color reflects the average citation frequency, where a yellow hue denotes higher citation counts. Connecting lines represent collaborations, with thicker lines signifying stronger partnerships and greater cooperative activity.

3. Results

3.1. Basic Information

This bibliometric analysis identified 2485 publications related to gut microbiota and hypertension, including 1803 original research articles and 682 reviews, with a total of 104,262 citations—an average of 41 citations/publication—the median citation count was 15 (with a quartile range of 5–39), only 10% of the documents had citation counts exceeding 95, while 10% of the documents had citation counts of no more than 1. The citation count range varied from 1 to 1868. The research exhibited exponential growth, with annual publications increasing from 1 in 2001 to 481 in 2024 (a 481-fold expansion). There were three distinct growth phases: pre-2011, limited activity (<10 publications/year); 2012–2021, steady growth (14 to 371 publications/year); and 2022–2024, plateau phase (439 publications/year), with a maximum of 481 publications in 2024. By 2024, over 2400 articles had been indexed in the WoSCC and Scopus, reflecting intensified scholarly interest in the research of gut microbiota and hypertension. More and more scholars are conducting related research. By 2025, the expected annual publications in this field will reach approximately 617 ± 32 (Figure 2, representing the annual publication number from 2001 to 2024).

3.2. Contributions of Countries/Regions to Global Publications

A total of 154 countries contributed publications to the research of gut microbiota and hypertension. The basic information of the top 10 countries based on the number of publications is shown in Table 1, from which it can be seen that China contributed the most articles (888, 35.73%), with most of them published in the recent years, followed by the USA (535, 21.53%), Italy (161, 6.48%) and Spain (128, 5.15%). The United States has the highest centrality (BCD = 0.57), followed by China (BCD = 0.34), Spain (BCD = 0.14), Italy (BCD = 0.12), and Germany (BCD = 0.09), suggesting that these five countries are important in the international research cooperation network (Figure 3A).

3.3. Author Contribution Analysis

A total of 13,765 authors contributed to these studies. The citation metrics and publication counts for the top 10 most productive authors specializing in gut microbiota and hypertension research are shown in Table 2. These leading authors collectively published 394 papers, accounting for 15.85% of all publications in this field (Figure 4A).
Citation frequency served as a key metric of author impact. In our analysis, 103 authors exceeded 1000 citations, with the highest-cited being Vijay-Kumar Matam in USA (4210 citations), Yang Tao in USA (3713 citations), Knight Rob in USA (3496 citations), Raizada, Mohan in USA (3346 citations), Pepine Carl J in USA (2723 citations), and Marques Francine in Australia (2117 citations) (Table S1). Yang Tao emerged as the most influential author, with 44 publications, and the highest citation count of 3713. Notably, only 9 out of 776,427 co-cited authors achieved citation frequencies exceeding 400. Inter-node connections represent author collaborations, where thicker lines indicate stronger collaborative relationships.

3.4. Institution Contribution Analysis

The literature search identified publications from 4184 organizations. Chang Gung University (Taiwan region of China) demonstrated sustained research productivity in gut microbiota and hypertension, with 72 publications from 2001 to 2024 (Figure 3B). The University of Florida (USA) emerged as the most cited institution (3858 total citations), while maintaining high productivity (43 publications, ranking fifth in output) (Figure S1). As shown in Table S2, high-output institutions were predominantly located in the Taiwan region of China, the USA, and Australia. In contrast, the most cited institutions were primarily from the USA, Germany, and Australia (Table 3). Institutions in the Taiwan region of China showed remarkable research output but a relatively lower academic impact, whereas the University of California, San Diego (USA) achieved superior research quality despite moderate output. Several institutions, including the University of Florida (USA), the University of Toledo (USA), and the Baker Heart and Diabetes Institute (Australia), excelled in both productivity and citation impact, indicating balanced performance in quantity and quality. Collaboration analysis revealed that the strongest institutional linkages are Chang Gung University, Kaohsiung Chang Gung Memorial Hospital, and Kaohsiung Medical University, as measured by total link strength. Overall, robust inter-institutional collaborations were observed across research organizations.

3.5. Journal Contribution Analysis

A 2458 articles were published in 831 journals in the last 24 years within the gut microbiota and hypertension field. The journal Nutrients (H-index 75) published 135 publications (5.43%), followed by the International Journal of Molecular Sciences (H-index 114, 78 publications, 3.14%) and Frontiers in Cellular and Infection Microbiology (H-index 53, 68 publications, 2.74%) (Table S3).
These journals primarily cover nutrition, biochemistry, molecular biology, and cardiovascular research. As shown in Table 4, Nutrients also received the highest total citations (5397), though with a relatively low citation average (40 citations/publication). In contrast, Hypertension achieved comparable total citations (3804) but demonstrated superior citation impact (85 citations/publication). Notably, Nature published only three articles in this field yet accumulated 3679 citations (1266 citations/publication), while Science received 3321 citations from two publications (1660 citations/publication), indicating exceptional research quality despite limited output in this specific domain (Figure 4B). These findings position these three journals as the most central and interconnected within this research field, suggesting their dominant scholarly influence among the 831 identified journals.

3.6. Analysis of Keywords

Keywords reflect the main theme and core content of the publication; high-frequency keywords contain the research trend, implying that hot topics may appear or have appeared in this field, and provide ideas and guidance for follow-up research. As presented in Table S4, the most frequent terms were “gut microbiota” (n = 783), “hypertension” (n = 492), and “microbiota” (n = 224), which collectively define the core research themes. Secondary high-frequency keywords included “obesity” (n = 200), “inflammation” (n = 169), “probiotics” (n = 147), “blood pressure” (n = 136), “short-chain fatty acids” (n = 84), “dysbiosis” (n = 129), and “gut microbiome” (n = 122), suggesting that current research predominantly examine the gut microbiota and hypertension through inflammatory pathways, metabolic disorders, and oxidative mechanisms, while exploring the therapeutic potential of probiotics and SCFAs (Figure 5B).
The 350 high-frequency keywords were categorized into five clusters (Figure 5A). Cluster 1 (red) focused on gut microbiome research, particularly the impact of microbial dysbiosis on various diseases such as portal hypertension, metabolic syndrome, and metabolic syndrome. The dominant keywords were as follows: microbiota (n = 224), metabolic syndrome (n = 114), portal hypertension (n = 50), and insulin resistance (n = 43). Cluster 2 (green) centered on probiotics and their effects on gut health, including strain-specific functions, mechanisms of action, and synergism with prebiotics. Key terms included the following: gut microbiota (n = 783), obesity (n = 200), probiotics (n = 184), blood pressure (n = 136), and prebiotics (n = 61). Cluster 3 (blue) primarily addressed the relationship between hypertension and multiple factors, including inflammation, oxidative stress, and gut dysbiosis, along with their mechanistic roles in hypertension pathogenesis. Key terms included hypertension (n = 492), cardiovascular disease (n = 119), chronic kidney disease (n = 93), oxidative stress (n = 68), and gut dysbiosis (n = 51). Cluster 4 (yellow) examined metabolic syndrome and the related conditions (obesity, insulin resistance, diabetes, etc.) with regard to cardiovascular disease, emphasizing mechanistic pathways and potential interventions. The therapeutic potential of probiotics in modulating dysbiosis, enhancing barrier function, and immunoregulation was highlighted. Representative keywords were atherosclerosis (n = 237), diabetes (n = 237), diet (n = 218), metabolites (n = 155), nutrition (n = 123), and synbiotics (n = 48). Cluster 5 (purple) investigated SCFAs in physiological and pathological processes, particularly their roles in gut homeostasis, immunomodulation, and energy metabolism, as well as their associations with hypertension and cardiometabolic disorders. Key terms included inflammation (n = 169), dysbiosis (n = 129), short-chain fatty acids (n = 112), cardiovascular diseases (n = 67), trimethylamine N-oxide (n = 85), and bile acids (n = 25).
Essentially, keyword burst analysis aims to examine how the frequency of keyword occurrences changes over a specific time period. The results of the analysis are shown in Figure 5C. For the first five years, keywords “portal hypertension”, “bacterial translocation”, “hepatic encephalopath”, and “insulin resistance” burst out, which implies that the association between hypertension and gut microbiota likely starts with portal hypertension caused by bacterial translocation, extends to general gut flora and hypertension, and also affects complications. As the study progressed further, it began to explore factors that caused the association, with key words of “obesity”, “diet induced obesity”, “risk factors”, “double blind”, and “endothelial dysfunction”, which indicated that the investigation of the association factors gradually transitioned from the phenotype to the intrinsic mechanism and further explored the intrinsic associations on the deeper level. Studies related to gut microbiota and hypertension have focused on “trimethylamine oxide (TMAO)” and “receptors” in recent years, suggesting that the mechanisms of their association will be further extended to molecules, cells, and receptors.

3.7. Citation Analysis

The 2485 publications had cited 149,201 unique references, with a total citation frequency of 216,345. The first half of Table 5 presents the top 10 co-cited references, with citation counts ranging from 168 to 443. The most frequently cited reference was “Gut Dysbiosis is Linked to Hypertension” [7], with 443 citations. The 97,748 cited references were sourced from 13,057 distinct bibliographic items, including peer-reviewed journals and books. The distribution of references shows the breadth of scholarly sources in this area of research (Figure 5D).
The publication citation visualization map is shown in Figure S2, and the top 10 cited publications are shown in the second half of Table 5. Among the top ten cited publications, seven were articles and three were reviews. Of all 2485 publications, 234 were cited more than 200 times, with the most frequently cited publication being “Inflammasome-mediated dysbiosis regulates progression of NAFLD and obesity” (1868 citations), followed by “Metabolic syndrome and altered gut microbiota in mice lacking toll-Like receptor 5” and “Gastroenterology 2-inflammatory bowel disease: clinical aspects and established and evolving therapy”.

4. Discussion

Research on gut microbiota and hypertension has entered a phase of rapid expansion, with the annual publication count increasing from 1 article in 2001 to a cumulative total of 2485 by 2024, reflecting remarkable progress in understanding the interplay between hypertension and gut microbiota. Notably, 76% of these publications were produced within the past five years. Gut microbiota and hypertension as an interdisciplinary research field has become a captivating topic. Among the top ten most productive journals, four specialize in hypertension pathophysiology, two in nutrition, two in microbiology, one in molecular biology, and one in multidisciplinary sciences.
A total of 13,765 authors from 4184 research institutions in 154 countries/regions published 2485 articles in the WoSCC and Scopus within this field, indicating that hypertension and gut microbiota research has attracted widespread attention worldwide. While conducting independent research, countries/regions are also engaged in extensive cooperation. China demonstrated the highest research productivity with a sustained output, whereas the United States produced the highest-quality studies and occupied the central position in international collaborative networks. Consequently, both nations have emerged as leaders in advancing the research on gut microbiota and hypertension.
Cooperation among different countries is open, and there is no restriction on exchange and cooperation between institutions caused by differences in countries. Tain You-Lin and Yang Tao were identified as the most productive and most cited authors, respectively. Notably, Yang Tao demonstrated the widest research influence, with primary focus areas in cardiovascular systems, biochemistry, and molecular biology. His seminal paper “Gut Dysbiosis is Linked to Hypertension” (citation count: 1065), ranked as his most cited publication, reported that high blood pressure was linked to gut microbiota dysbiosis in both animals and humans, and that the dietary interventions to correct gut microbiota might be a novel nutritional therapy for hypertension [8].
Co-citation analysis of references enables the rapid accumulation of domain knowledge and identification of research trends in this field. The top 10 most cited references primarily focused on (1) gut dysbiosis contributing to hypertension pathogenesis, (2) microbial signaling in blood pressure regulation, and (3) alterations in gut microbiota composition and intestinal epithelial barrier integrity under hypertensive conditions. Co-occurrence analysis of keywords was employed to uncover latent knowledge structures, identify research hotspots, and delineate thematic evolution within the field [29].
Early-emerging keywords with sustained research interest included portal hypertension (2003–2019), bacterial translocation (2003–2019), hepatic encephalopathy (2004–2018), insulin resistance (2006–2020), and adipose tissue (2006–2020). Research found that intestinal bacterial overgrowth, dysbiosis, and increased mucosal permeability facilitate bacterial translocation into systemic circulation, inducing persistent inflammation [30]. Concurrently, elevated production of gut-derived toxins and bacterial metabolites (e.g., endotoxins) occurs. The liver, as the primary detoxification organ, demonstrates reduced bile secretion [31] and diminishes antibacterial capacity when chronically exposed to these toxins [32]. This metabolic impairment leads to systemic toxin accumulation, resulting in chronic low-grade inflammation, progressive hepatic fibrosis, exacerbated oxidative stress, and aggravated vascular/adipose tissue inflammation. In addition, the content of SCFAs and probiotics in the intestinal tract is greatly reduced, accompanied by a decline in the host’s immune function, which further accelerates the development of hypertension [33]. The association between hypertension and gut microbiota is likely to be observed starting with portal hypertension caused by bacterial translocation, and then this association will be extrapolated to gut flora and hypertension in general, and also that this association will affect the development of other complications.
Accumulating evidence has demonstrated that the gut microbiota plays a pivotal role in the pathogenesis of hypertension, primarily through modulation of microbial composition, intestinal barrier integrity, and microbial-derived metabolites [4]. Dysbiosis of the gut microbiota is characterized by an elevated Firmicutes/Bacteroidetes (F/B) ratio, reduced microbial diversity, depletion of beneficial bacteria, and overgrowth of pathogenic species [8]. These alterations contribute to increased enterotoxin production and systemic inflammation, ultimately compromising intestinal barrier function. Heightened intestinal permeability permits translocation of microbial pathogens and enterotoxins into systemic circulation, triggering chronic low-grade inflammation and endothelial dysfunction, leading to diminished vasodilatory factors and elevated vasoconstrictive mediators, thereby promoting the development and progression of hypertension [34]. Gut microbial metabolites, including SCFAs, TMAO, bile acids (BAs), and hydrogen sulfide (H2S), play critical roles in blood pressure regulation [35]. SCFAs—primarily acetate, propionate, and butyrate—modulate blood pressure through immunologic and epigenetic mechanisms by binding to G-protein-coupled receptors (GPCRs) [36]. Immunologically, SCFAs suppress the expression of pro-inflammatory cytokines, such as IL-17 and IL-6, and promote the differentiation of intestinal T cells into regulatory T cells (Tregs) via GPR43 activation, thereby attenuating excessive immune responses. Additionally, SCFAs have been shown to induce vasodilation in peripheral mesenteric arteries through the GPR41/GPR43 pathway [34]. Luo et al. demonstrated that butyrate supplementation significantly reduced blood pressure in spontaneously hypertensive rats [12]. Furthermore, butyrate has been reported to enhance β-oxidation in the intestinal mucosa [37], leading to luminal oxygen depletion and creating an anaerobic microenvironment conducive to the proliferation of beneficial gut microbiota. Trimethylamine, a choline metabolite produced by gut microbiota, is oxidized in the liver to TMAO. The main role of TMAO in the development of hypertension is not to directly cause vasoconstriction but to indirectly raise blood pressure by augmenting the prohypertensive effects of AngII [38,39]. BAs can bind to glycine or taurine to form couplers, and coupled BAs exhibit antihypertensive effects through multiple receptor pathways, e.g., BAs can activate Akt expression to increase intracellular calcium concentration and NO content, inhibit endothelin-1 (ET-1) release, and achieve vasodilatation [40]. H2S, as a gaseous mediator and signaling molecule, can be produced by intestinal microbiota through enzymatic reactions, and the produced H2S originating from the colon, after being absorbed into the intestinal blood vessels, can act as a signaling molecule to stimulate the sensory fibers of the intestinal nervous system and feedback this stimulation to the central nervous system, thus participating in the regulation of blood pressure [41]. At the same time, H2S also improves the endothelial dysfunction by activating the PPARδ/eNOS pathway to regulate hypertension [42]. In summary, gut microbiota is closely related to hypertension, providing new ways and directions for the prevention and management of hypertension.
Importantly, microbiota-targeted interventions, including probiotics and dietary fibers, are identified as promising therapeutic strategies for hypertension management. Experimental evidence indicates that probiotics exert beneficial effects through multiple mechanisms, including the following: (1) immunomodulation via interaction with gut-associated immune cells, stimulating enhanced antibody production and strengthening pathogen resistance; (2) microbial cross-talk with commensal microbiota, facilitating mutualistic substrate exchange, e.g., bifidobacterial cross-feeding with butyrate producers, increasing intestinal butyrate levels by 33–34% [43,44] while competitively inhibiting pathogenic colonization [45]; (3) biosynthesis of organic acids (lactate, acetate, and propionate) that acidify the intestinal lumen (pH reduction) [46], selectively inhibiting acid-sensitive pathogens (e.g., Salmonella spp.) while concomitantly improving cardiometabolic parameters and insulin sensitivity via SCFA-mediated pathways; (4) enhancement of intestinal barrier function through stimulated production of secretory proteins, indoles, and bacteriocins [47], with surface components (e.g., pili, flagella) acting as microbial-associated molecular patterns (MAMPs) that modulate epithelial homeostasis through pattern-recognition receptor binding [47]. These multifactorial mechanisms underlie the reported therapeutic potential of probiotics and postbiotics in diverse conditions, including dermatitis, necrotizing enterocolitis, hyperuricemia, diabetes mellitus, hypertension, and oncological pathologies [48].
In recent years, strategies to remodel the intestinal microenvironment and thereby improve hypertension through probiotics and prebiotics have gained prominence. Studies have documented the antihypertensive effects of fermented milk [49]; meanwhile, because of the important role of angiotensin I-converting enzyme (ACE) in the renin–angiotensin–aldosterone system (RAAS) and the Kinin–Bradykinin System (KKS) in the formation of hypertension [50,51,52], angiotensin I-converting enzyme (ACE) inhibitory peptides have been isolated and purified from fermented yogurt [53]. A randomized controlled trial conducted in 2003 demonstrated a significant reduction in blood pressure in hypertensive patients who consumed bioactive peptide-enriched fermented milk [54]. Although some subsequent studies have indicated that the intake of fermented yogurt is not associated with the incidence of hypertension [55], a health cohort study in 2018 pointed out that consuming at least five servings of yogurt per week could reduce the risk of hypertension by 19% [56]. However, the ability of fermented milk to reduce blood pressure requires further validation. Further research expanded the repertoire of antihypertensive peptides, with novel sources isolated from animal products, marine organisms, plants, dairy, and microbial sources [57,58,59,60,61].

5. Conclusions

This study presents a comprehensive bibliometric analysis of research on gut microbiota and hypertension over the past 24 years. This research has witnessed exponential growth. The current research trend in gut microbiota and hypertension is shifting from exploring the influencing factors of the development of gut microbiota and hypertension to understanding their underlying mechanisms and the potential therapeutic application of microbial modulation for hypertension management. Notably, TMAO and other receptors are identified as potential focal points for future investigations at the microbiota–hypertension interface.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/microorganisms13071696/s1, Figure S1: Organization citations map on gut microbiota and hypertension; Figure S2: Top 10 cited publications on gut microbiota and hypertension; Table S1: Top 10 authors with the most citations on gut microbiota and hypertension; Table S2: Top 10 institutions with the most publications on gut microbiota and hypertension; Table S3: Top 10 journals in terms of publications on gut microbiota and hypertension; Table S4: Top 20 Keywords of Co-Occurrence Frequency.

Author Contributions

Conceptualization, Y.C. and B.H.; methodology, J.M.; software, W.S., J.Q. and J.F.; Data collection and data matching, S.L. and R.D., validation, R.Y. and J.L.; writing—original draft preparation, J.M. and W.S.; writing—review and editing, J.M., W.S. and Y.C.; supervision, B.H. and Y.C.; project administration, B.H.; funding acquisition, B.H. and Y.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (No. 82173526) and the Natural Science Foundation of Shaanxi province, China (No. 2024JC-YBMS-663).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Poulter, N.R.; Prabhakaran, D.; Caulfield, M. Hypertension. Lancet 2015, 386, 801–812. [Google Scholar] [CrossRef]
  2. Chew, N.W.S.; Ng, C.H.; Tan, D.J.H.; Kong, G.; Lin, C.; Chin, Y.H.; Lim, W.H.; Huang, D.Q.; Quek, J.; Fu, C.E.; et al. The Global Burden of Metabolic Disease: Data from 2000 to 2019. Cell Metab. 2023, 35, 414–428. [Google Scholar] [CrossRef] [PubMed]
  3. Krokstad, S. Worldwide Trends in Hypertension Prevalence and Progress in Treatment and Control from 1990 to 2019: A Pooled Analysis of 1201 Population-Representative Studies with 104 Million Participants. Lancet 2022, 399, 520. [Google Scholar] [CrossRef]
  4. Yang, Z.; Wang, Q.C.; Liu, Y.X.; Wang, L.; Ge, Z.; Li, Z.Z.; Feng, S.L.; Wu, C. Gut Microbiota and Hypertension: Association, Mechanisms and Treatment. Clin. Exp. Hypertens. 2023, 45, 2195135. [Google Scholar] [CrossRef]
  5. Su, X.; Gao, Y.; Yang, R. Gut Microbiota-Derived Tryptophan Metabolites Maintain Gut and Systemic Homeostasis. Cells 2022, 11, 2296. [Google Scholar] [CrossRef] [PubMed]
  6. Li, J.; Zhao, F.; Wang, Y.; Chen, J.; Tao, J.; Tian, G.; Wu, S.; Liu, W.; Cui, Q.; Geng, B.; et al. Gut Microbiota Dysbiosis Contributes to the Development of Hypertension. Microbiome 2017, 5, 14. [Google Scholar] [CrossRef]
  7. Yang, T.; Santisteban, M.M.; Rodriguez, V.; Li, E.; Ahmari, N.; Carvajal, J.M.; Zadeh, M.; Gong, M.; Qi, Y.; Zubcevic, J.; et al. Gut Dysbiosis Is Linked to Hypertension. Hypension 2015, 65, 1331–1340. [Google Scholar] [CrossRef]
  8. Yang, T.; Richards, E.M.; Pepine, C.J.; Raizada, M.K. The Gut Microbiota and the Brain-Gut-Kidney Axis in Hypertension and Chronic Kidney Disease. Nat. Rev. Nephrol. 2018, 14, 442–456. [Google Scholar] [CrossRef]
  9. Taur, Y.; Coyte, K.; Schluter, J.; Robilotti, E.; Figueroa, C.; Gjonbalaj, M.; Littmann, E.R.; Ling, L.; Miller, L.; Gyaltshen, Y.; et al. Reconstitution of the Gut Microbiota of Antibiotic-Treated Patients by Autologous Fecal Microbiota Transplant. Sci. Transl. Med. 2018, 10, eaap9489. [Google Scholar] [CrossRef]
  10. Mu, Y.-F.; Gao, Z.-X.; Mao, Z.-H.; Pan, S.-K.; Liu, D.-W.; Liu, Z.-S.; Wu, P. Perspectives on the Involvement of the Gut Microbiota in Salt-Sensitive Hypertension. Hypertens. Res. 2024, 47, 2351–2362. [Google Scholar] [CrossRef]
  11. Brouwers, S.; Sudano, I.; Kokubo, Y.; Sulaica, E.M. Arterial Hypertension. Lancet 2021, 398, 249–261. [Google Scholar] [CrossRef]
  12. Luo, X.; Han, Z.; Kong, Q.; Wang, Y.; Mou, H.; Duan, X. Clostridium Butyricum Prevents Dysbiosis and the Rise in Blood Pressure in Spontaneously Hypertensive Rats. Int. J. Mol. Sci. 2023, 24, 4955. [Google Scholar] [CrossRef] [PubMed]
  13. Dikalova, A.E.; Pandey, A.; Xiao, L.; Arslanbaeva, L.; Sidorova, T.; Lopez, M.G.; Billings, F.T.; Verdin, E.; Auwerx, J.; Harrison, D.G.; et al. Mitochondrial Deacetylase Sirt3 Reduces Vascular Dysfunction and Hypertension While Sirt3 Depletion in Essential Hypertension Is Linked to Vascular Inflammation and Oxidative Stress. Circ. Res. 2020, 126, 439–452. [Google Scholar] [CrossRef] [PubMed]
  14. Marques, F.Z.; Mackay, C.R.; Kaye, D.M. Beyond Gut Feelings: How the Gut Microbiota Regulates Blood Pressure. Nat. Rev. Cardiol. 2018, 15, 20–32. [Google Scholar] [CrossRef] [PubMed]
  15. Rahman, M.M.; Islam, F.; Harun-Or-Rashid, M.; Al Mamun, A.; Rahaman, M.S.; Islam, M.M.; Meem, A.F.K.; Sutradhar, P.R.; Mitra, S.; Mimi, A.A.; et al. The Gut Microbiota (Microbiome) in Cardiovascular Disease and Its Therapeutic Regulation. Front. Cell. Infect. Microbiol. 2022, 12, 903570. [Google Scholar] [CrossRef]
  16. Verhaar, B.J.H.; Prodan, A.; Nieuwdorp, M.; Muller, M. Gut Microbiota in Hypertension and Atherosclerosis: A Review. Nutrients 2020, 12, 2982. [Google Scholar] [CrossRef]
  17. Ninkov, A.; Frank, J.R.; Maggio, L.A. Bibliometrics: Methods for Studying Academic Publishing. Perspect. Med. Educ. 2022, 11, 173–176. [Google Scholar] [CrossRef]
  18. Moral-Munoz, J.A.; Herrera-Viedma, E.; Santisteban-Espejo, A.; Cobo, M.J. Software Tools for Conducting Bibliometric Analysis in Science: An up-to-Date Review. Prof. Inf. 2020, 29, e290103. [Google Scholar] [CrossRef]
  19. Cooper, I.D. Bibliometrics Basics. J. Med. Libr. Assoc. JMLA 2015, 103, 217–218. [Google Scholar] [CrossRef]
  20. Kokol, P.; Blazun Vosner, H.; Zavrsnik, J. Application of Bibliometrics in Medicine: A Historical Bibliometrics Analysis. Health Inf. Libr. J. 2021, 38, 125–138. [Google Scholar] [CrossRef]
  21. Zhang, Z.; Hu, G.; Mu, X.; Kong, L. From Low Carbon to Carbon Neutrality: A Bibliometric Analysis of the Status, Evolution and Development Trend. J. Environ. Manage. 2022, 322, 116087. [Google Scholar] [CrossRef]
  22. Jiao, Y.; Li, W.; Zhang, Q.; Jiang, Q. Gut Microbiota and Hypertension: A Bibliometric Analysis of Recent Research (2014–2023). Front. Nutr. 2023, 10, 1253803. [Google Scholar] [CrossRef] [PubMed]
  23. Van Eck, N.J.; Waltman, L. Software Survey: VOSviewer, a Computer Program for Bibliometric Mapping. Scientometrics 2010, 84, 523–538. [Google Scholar] [CrossRef] [PubMed]
  24. Kirby, A. Exploratory Bibliometrics: Using VOSviewer as a Preliminary Research Tool. Publications 2023, 11, 10. [Google Scholar] [CrossRef]
  25. Liu, X.; Zhao, S.; Tan, L.; Tan, Y.; Wang, Y.; Ye, Z.; Hou, C.; Xu, Y.; Liu, S.; Wang, G. Frontier and Hot Topics in Electrochemiluminescence Sensing Technology Based on CiteSpace Bibliometric Analysis. Biosens. Bioelectron. 2022, 201, 113932. [Google Scholar] [CrossRef]
  26. Jiang, S.T.; Liu, Y.G.; Zheng, H.; Zhang, L.; Zhao, H.T.; Sang, X.T.; Xu, Y.Y.; Lu, X. Evolutionary Patterns and Research Frontiers in Neoadjuvant Immunotherapy: A Bibliometric Analysis-All Databases. Int. J. Surg. 2023, 109, 2774–2783. [Google Scholar] [CrossRef]
  27. Synnestvedt, M.B.; Chen, C.; Holmes, J.H. CiteSpace II: Visualization and Knowledge Discovery in Bibliographic Databases. AMIA Annu. Symp. Proc. AMIA Symp. 2005, 2005, 724–728. [Google Scholar]
  28. Yu, Y.; Li, Y.; Zhang, Z.; Gu, Z.; Zhong, H.; Zha, Q.; Yang, L.; Zhu, C.; Chen, E. A Bibliometric Analysis Using VOSviewer of Publications on COVID-19. Ann. Transl. Med. 2020, 8, 816. [Google Scholar] [CrossRef]
  29. Peng, C.; Kuang, L.; Zhao, J.; Ross, A.E.; Wang, Z.; Ciolino, J.B. Bibliometric and Visualized Analysis of Ocular Drug Delivery from 2001 to 2020. J. Control. Release 2022, 345, 625–645. [Google Scholar] [CrossRef]
  30. Chopyk, D.M.; Grakoui, A. Contribution of the Intestinal Microbiome and Gut Barrier to Hepatic Disorders. Gastroenterology 2020, 159, 849–863. [Google Scholar] [CrossRef]
  31. Schnabl, B.; Brenner, D.A. Interactions Between the Intestinal Microbiome and Liver Diseases. Gastroenterology 2014, 146, 1513–1524. [Google Scholar] [CrossRef]
  32. Albillos, A.; de Gottardi, A.; Rescigno, M. The Gut-Liver Axis in Liver Disease: Pathophysiological Basis for Therapy. J. Hepatol. 2020, 72, 558–577. [Google Scholar] [CrossRef]
  33. Abdolmaleky, H.M.; Zhou, J.R. Gut Microbiota Dysbiosis, Oxidative Stress, Inflammation, and Epigenetic Alterations in Metabolic Diseases. Antioxidants 2024, 13, 985. [Google Scholar] [CrossRef] [PubMed]
  34. Campbell, C.; Kandalgaonkar, M.R.; Golonka, R.M.; Yeoh, B.S.; Vijay-Kumar, M.; Saha, P. Crosstalk between Gut Microbiota and Host Immunity: Impact on Inflammation and Immunotherapy. Biomedicines 2023, 11, 294. [Google Scholar] [CrossRef] [PubMed]
  35. De la Cuesta-Zuluaga, J.; Mueller, N.T.; Alvarez-Quintero, R.; Velasquez-Mejia, E.P.; Sierra, J.A.; Corrales-Agudelo, V.; Carmona, J.A.; Abad, J.M.; Escobar, J.S. Higher Fecal Short-Chain Fatty Acid Levels Are Associated with Gut Microbiome Dysbiosis, Obesity, Hypertension and Cardiometabolic Disease Risk Factors. Nutrients 2019, 11, 51. [Google Scholar] [CrossRef] [PubMed]
  36. Bartolomaeus, H.; Balogh, A.; Yakoub, M.; Homann, S.; Marko, L.; Hoeges, S.; Tsvetkov, D.; Krannich, A.; Wundersitz, S.; Avery, E.G.; et al. Short-Chain Fatty Acid Propionate Protects From Hypertensive Cardiovascular Damage. Circulation 2019, 139, 1407–1421. [Google Scholar] [CrossRef]
  37. De Preter, V.; Geboes, K.P.; Bulteel, V.; Vandermeulen, G.; Suenaert, P.; Rutgeerts, P.; Verbeke, K. Kinetics of Butyrate Metabolism in the Normal Colon and in Ulcerative Colitis: The Effects of Substrate Concentration and Carnitine on the β-Oxidation Pathway. Aliment. Pharmacol. Ther. 2011, 34, 526–532. [Google Scholar] [CrossRef]
  38. Li, D.; Lu, Y.; Yuan, S.; Cai, X.; He, Y.; Chen, J.; Wu, Q.; He, D.; Fang, A.; Bo, Y.; et al. Gut Microbiota-Derived Metabolite Trimethylamine-N-Oxide and Multiple Health Outcomes: An Umbrella Review and Updated Meta-Analysis. Am. J. Clin. Nutr. 2022, 116, 230–243. [Google Scholar] [CrossRef]
  39. Zhang, W.-Q.; Wang, Y.-J.; Zhang, A.; Ding, Y.-J.; Zhang, X.-N.; Jia, Q.-J.; Zhu, Y.-P.; Li, Y.-Y.; Lv, S.-C.; Zhang, J.-P. TMA/TMAO in Hypertension: Novel Horizons and Potential Therapies. J. Cardiovasc. Transl. Res. 2021, 14, 1117–1124. [Google Scholar] [CrossRef]
  40. Fiorucci, S.; Zampella, A.; Cirino, G.; Bucci, M.; Distrutti, E. Decoding the Vasoregulatory Activities of Bile Acid-Activated Receptors in Systemic and Portal Circulation: Role of Gaseous Mediators. Am. J. Physiol.-Heart Circ. Physiol. 2017, 312, H21–H32. [Google Scholar] [CrossRef]
  41. Zhang, Q.; He, F.; Kuruba, R.; Gao, X.; Wilson, A.; Li, J.; Billiar, T.R.; Pitt, B.R.; Xie, W.; Li, S. FXR-Mediated Regulation of Angiotensin Type 2 Receptor Expression in Vascular Smooth Muscle Cells. Cardiovasc. Res. 2008, 77, 560–569. [Google Scholar] [CrossRef]
  42. Magee, E.A.; Richardson, C.J.; Hughes, R.; Cummings, J.H. Contribution of Dietary Protein to Sulfide Production in the Large Intestine: An in Vitro and a Controlled Feeding Study in Humans. Am. J. Clin. Nutr. 2000, 72, 1488–1494. [Google Scholar] [CrossRef]
  43. De Vuyst, L.; Leroy, F. Cross-Feeding between Bifidobacteria and Butyrate-Producing Colon Bacteria Explains Bifdobacterial Competitiveness, Butyrate Production, and Gas Production. Int. J. Food Microbiol. 2011, 149, 73–80. [Google Scholar] [CrossRef]
  44. Belenguer, A.; Duncan, S.H.; Calder, A.G.; Holtrop, G.; Louis, P.; Lobley, G.E.; Flint, H.J. Two Routes of Metabolic Cross-Feeding between Bifidobacterium adolescentis and Butyrate-Producing Anaerobes from the Human Gut. Appl. Environ. Microbiol. 2006, 72, 3593–3599. [Google Scholar] [CrossRef]
  45. Shen, Z.-H.; Zhu, C.-X.; Quan, Y.-S.; Yang, Z.-Y.; Wu, S.; Luo, W.-W.; Tan, B.; Wang, X.-Y. Relationship between Intestinal Microbiota and Ulcerative Colitis: Mechanisms and Clinical Application of Probiotics and Fecal Microbiota Transplantation. World J. Gastroenterol. 2018, 24, 5–14. [Google Scholar] [CrossRef]
  46. Markowiak-Kopec, P.; Slizewska, K. The Effect of Probiotics on the Production of Short-Chain Fatty Acids by Human Intestinal Microbiome. Nutrients 2020, 12, 1107. [Google Scholar] [CrossRef] [PubMed]
  47. Liu, Q.; Yu, Z.; Tian, F.; Zhao, J.; Zhang, H.; Zhai, Q.; Chen, W. Surface Components and Metabolites of Probiotics for Regulation of Intestinal Epithelial Barrier. Microb. Cell Factories 2020, 19, 23. [Google Scholar] [CrossRef] [PubMed]
  48. Luo, Z.; Chen, A.; Xie, A.; Liu, X.; Jiang, S.; Yu, R. Limosilactobacillus reuteri in Immunomodulation: Molecular Mechanisms and Potential Applications. Front. Immunol. 2023, 14, 1228754. [Google Scholar] [CrossRef] [PubMed]
  49. Hata, Y.; Yamamoto, M.; Ohni, M.; Nakajima, K.; Nakamura, Y.; Takano, T. A Placebo-Controlled Study of the Effect of Sour Milk on Blood Pressure in Hypertensive Subjects. Am. J. Clin. Nutr. 1996, 64, 767–771. [Google Scholar] [CrossRef]
  50. Te Riet, L.; van Esch, J.H.M.; Roks, A.J.M.; van den Meiracker, A.H.; Danser, A.H.J. Hypertension Renin-Angiotensin-Aldosterone System Alterations. Circ. Res. 2015, 116, 960–975. [Google Scholar] [CrossRef]
  51. Black, H.R. Evolving Role of Alclosterone Blockers Alone and in Combination with Angiotensin-Converting Enzyme Inhibitors or Angiotensin II Receptor Blockers in Hypertension Management: A Review of Mechanistic and Clinical Data. Am. Heart J. 2004, 147, 564–572. [Google Scholar] [CrossRef]
  52. Wong, J.; Patel, R.A.; Kowey, P.R. The Clinical Use of Angiotensin-Converting Enzyme Inhibitors. Prog. Cardiovasc. Dis. 2004, 47, 116–130. [Google Scholar] [CrossRef]
  53. Nakamura, Y.; Yamamoto, N.; Sakai, K.; Okubo, A.; Yamazaki, S.; Takano, T. Purification and Characterization of Angiotensin I-Converting Enzyme-Inhibitors from Sour Milk. J. Dairy Sci. 1995, 78, 777–783. [Google Scholar] [CrossRef]
  54. Seppo, L.; Jauhiainen, T.; Poussa, T.; Korpela, R. A Fermented Milk High in Bioactive Peptides Has a Blood Pressure-Lowering Effect in Hypertensive Subjects. Am. J. Clin. Nutr. 2003, 77, 326–330. [Google Scholar] [CrossRef]
  55. Park, G.; Kadyan, S.; Hochuli, N.; Pollak, J.; Wang, B.; Salazar, G.; Chakrabarty, P.; Efron, P.; Sheffler, J.; Nagpal, R. A Modified Mediterranean-Style Diet Enhances Brain Function via Specific Gut-Microbiome—Brain Mechanisms. Gut Microbes 2024, 16, 2323752. [Google Scholar] [CrossRef]
  56. Buendia, J.R.; Li, Y.; Hu, F.B.; Cabral, H.J.; Bradlee, M.L.; Quatromoni, P.A.; Singer, M.R.; Curhan, G.C.; Moore, L.L. Long-Term Yogurt Consumption and Risk of Incident Hypertension in Adults. J. Hypertens. 2018, 36, 1671–1679. [Google Scholar] [CrossRef]
  57. Lee, S.Y.; Hur, S.J. Antihypertensive Peptides from Animal Products, Marine Organisms, and Plants. Food Chem. 2017, 228, 506–517. [Google Scholar] [CrossRef]
  58. Gorguc, A.; Gencdag, E.; Yilmaz, F.M. Bioactive Peptides Derived from Plant Origin By-Products: Biological Activities and Techno-Functional Utilizations in Food Developments—A Review. Food Res. Int. 2020, 136, 109504. [Google Scholar] [CrossRef]
  59. Gao, R.; Yu, Q.; Shen, Y.; Chu, Q.; Chen, G.; Fen, S.; Yang, M.; Yuan, L.; McClements, D.J.; Sun, Q. Production, Bioactive Properties, and Potential Applications of Fish Protein Hydrolysates: Developments and Challenges. Trends Food Sci. Technol. 2021, 110, 687–699. [Google Scholar] [CrossRef]
  60. Brandelli, A.; Daroit, D.J.; Folmer Correa, A.P. Whey as a Source of Peptides with Remarkable Biological Activities. Food Res. Int. 2015, 73, 149–161. [Google Scholar] [CrossRef]
  61. Chai, K.F.; Voo, A.Y.H.; Chen, W.N. Bioactive Peptides from Food Fermentation: A Comprehensive Review of Their Sources, Bioactivities, Applications, and Future Development. Compr. Rev. Food Sci. Food Saf. 2020, 19, 3825–3885. [Google Scholar] [CrossRef]
Figure 2. The annual publication number from 2001 to 2024.
Figure 2. The annual publication number from 2001 to 2024.
Microorganisms 13 01696 g002
Figure 3. Country/region and organization analysis of the research on gut microbiota in hypertension. (A) Country/region co-authorship of publication and citation overlay map. Weight indicates publications, color indicates citations. (B) Organization co-authorship of publication and citation overlay map.
Figure 3. Country/region and organization analysis of the research on gut microbiota in hypertension. (A) Country/region co-authorship of publication and citation overlay map. Weight indicates publications, color indicates citations. (B) Organization co-authorship of publication and citation overlay map.
Microorganisms 13 01696 g003
Figure 4. (A) Author co-occurrence. Circle size means the number of author-published articles. (B) An overlay visualization of the number of journal citations, where the size of the nodes represents citations of the journal. The color indicates the average citation, and the closer the color is to red, the higher the average number of citations for that journal.
Figure 4. (A) Author co-occurrence. Circle size means the number of author-published articles. (B) An overlay visualization of the number of journal citations, where the size of the nodes represents citations of the journal. The color indicates the average citation, and the closer the color is to red, the higher the average number of citations for that journal.
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Figure 5. (A) Map of keyword clustering. (B) Map visualizing keyword co-occurrence. (C) Top 25 keywords with the highest citation bursts identified by CiteSpace. (D) Co-citation analysis cited reference; the size of the nodes represents the citation number of the cited reference, the same color indicates the same group, representing a high degree of correlation and similarity between the studies in these cited references.
Figure 5. (A) Map of keyword clustering. (B) Map visualizing keyword co-occurrence. (C) Top 25 keywords with the highest citation bursts identified by CiteSpace. (D) Co-citation analysis cited reference; the size of the nodes represents the citation number of the cited reference, the same color indicates the same group, representing a high degree of correlation and similarity between the studies in these cited references.
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Table 1. Top 10 countries with the most published studies on gut microbiota and hypertension.
Table 1. Top 10 countries with the most published studies on gut microbiota and hypertension.
RankCountry/RegionPublications
(n = 2485)
Citations (n = 104,262)Total Link Strength
1China888 (35.73%)23,999214
2USA535 (21.53%)38,033386
3Italy161 (6.48%)8955123
4Spain128 (5.15%)7467142
5Taiwan Region of China111 (4.47%)246415
6Australia95 (3.82%)480390
7India94 (3.78%)279574
8Japan89 (3.58%)358426
9Germany80 (3.22%)7963125
10Brazil72 (2.90%)311450
Table 2. The top 10 authors’ publication rank in the research of gut microbiota and hypertension.
Table 2. The top 10 authors’ publication rank in the research of gut microbiota and hypertension.
RankAuthorPublication Count (%)Country/RegionInstitutionsCitations
1You-Lin Tain75 (3.02%)Taiwan region of ChinaKaohsiung Chang Gung Memorial Hospital1852
2Chien-Ning Hsu66 (2.66%)Taiwan region of ChinaKaohsiung Chang Gung Memorial Hospital1483
3Tao Yang44 (1.77%)USA University of Toledo3713
4Chih-Yao Hou43 (1.73%)Taiwan region of ChinaNational Kaohsiung University of Science and Technology1115
5Jing Li29 (1.17%)ChinaChinese Academy of Medical Sciences1553
6Guo-Ping Chang-chien,28 (1.13%)Taiwan region of ChinaCheng Shiu University562
7Francine Marques28 (1.13%)AustraliaMonash University2117
8Mohan Raizada 28 (1.13%)USA University of Florida3346
9Juan Duarte27 (1.09%)SpainUniversity of Granada 1627
10Marta Toral26 (1.05%)SpainUniversity of Granada1592
Table 3. General information about the top 10 most-cited institutions.
Table 3. General information about the top 10 most-cited institutions.
RankInstitution DocumentsCitationsTotal Link StrengthCountry
1University of Florida4338582719USA
2University of California, San Diego112377120USA
3Charité–Universitätsmedizin Berlin162337826Germany
4Monash University3022352041Australia
5Baker Heart and Diabetes Institute3122102003Australia
6Washington University5218158USA
7Yale University4215954USA
8Cleveland Clinic92094296USA
9German Centre for Cardiovascular Research101964734Germany
10Vanderbilt University191947813USA
Table 4. Top 10 most-cited journals in the research field of gut microbiota and hypertension.
Table 4. Top 10 most-cited journals in the research field of gut microbiota and hypertension.
JournalCitationsPublicationsCitation RankAverage Citation RankIF2024H-Index
Nutrients5397135195.075
Hypertension380445278.2246
Nature367933348.51096
Science332124145.81058
International Journal of Molecular Sciences297978584.9114
Circulation Research2610176616.2306
Frontiers in Cellular and Infection Microbiology2447687104.853
Journal of Hepatology218098533216
Lancet162719288.5700
Circulation1612510438.6570
Table 5. The top 10 most-co-cited references and the top 10 most-cited publications.
Table 5. The top 10 most-co-cited references and the top 10 most-cited publications.
RankFirst AuthorJournalTitlePublication TypeCitationsIF2024
1Tao YangHypertension“Gut dysbiosis is linked to hypertension”Article4438.2
2Jing LiMicrobiome“Gut microbiota dysbiosis contributes to the development of hypertension”Article38212.7
3Francine MarquesCirculation“High-fiber diet and acetate supplementation change the gut microbiota and prevent the development of hypertension and heart failure in hypertensive mice”Article25538.9
4Pluznick JenniferThe Proceedings of the National Academy of Sciences (PNAS)“Olfactory receptor responding to gut microbiota-derived signals plays a role in renin secretion and blood pressure regulation”Article2499.1
5Blair R MellPhysiological Genomics“Evidence for a link between gut microbiota and hypertension in the Dahl rat”Article2012.5
6Monica M SantistebanCirculation Research“Hypertension-linked pathophysiological alterations in the gut”Article19216.2
7Adnan Sareema HPhysiological Genomics“Alterations in the gut microbiota can elicit hypertension in rats”Article1862.5
8Zeneng WangNature“Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease”Article17848.5
9Kim SeungbumClinical Science“Imbalance of gut microbiome and intestinal epithelial barrier dysfunction in patients with high blood pressure”Article1687.7
10Wilck NicolaNature“Salt-responsive gut commensal modulates TH17 axis and disease”Article16848.5
1Jorge Henao-Mejia Nature“Inflammasome-mediated dysbiosis regulates progression of nafld and obesity”Article186848.5
2Vijay-Kumar MatamScience“Metabolic syndrome and altered gut microbiota in mice lacking Toll-like receptor 5”Article173045.8
3Daniel Baumgart Lancet“Gastroenterology 2 -inflammatory bowel disease: clinical aspects and established and evolving therapies”Review162788.5
4Vijay-Kumar MatamScience“Metabolic syndrome and altered gut microbiota in mice lacking toll-like receptor”Article159145.8
5Clara Depommier Nature Medicine“Supplementation with akkermansia muciniphila in overweight and obese human volunteers: a proof-of-concept exploratory study”Article142850
6Agustin AlbillosJournal of Hepatology“The gut-liver axis in liver disease: pathophysiological basis for therapy”Review122833
7Jing LiMicrobiome“Gut microbiota dysbiosis contributes to the development of hypertension”Article115812.7
8W.H. Wilson TangCirculation Research“Gut microbiota in cardiovascular health and disease”Review109516.2
9Tao YangHypertension“Gut dysbiosis is linked to hypertension”Article10838.2
10Jennifer l Pluznick The Proceedings of the National Academy of Sciences (PNAS)“Olfactory receptor responding to gut microbiota-derived signals plays a role in renin secretion and blood pressure regulation”Article9599.1
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Mo, J.; Su, W.; Qin, J.; Feng, J.; Yu, R.; Li, S.; Lv, J.; Dong, R.; Cheng, Y.; Han, B. Bibliometric and Visualized Analysis of Gut Microbiota and Hypertension Interaction Research Published from 2001 to 2024. Microorganisms 2025, 13, 1696. https://doi.org/10.3390/microorganisms13071696

AMA Style

Mo J, Su W, Qin J, Feng J, Yu R, Li S, Lv J, Dong R, Cheng Y, Han B. Bibliometric and Visualized Analysis of Gut Microbiota and Hypertension Interaction Research Published from 2001 to 2024. Microorganisms. 2025; 13(7):1696. https://doi.org/10.3390/microorganisms13071696

Chicago/Turabian Style

Mo, Jianhui, Wanghong Su, Jiale Qin, Jiayu Feng, Rong Yu, Shaoru Li, Jia Lv, Rui Dong, Yue Cheng, and Bei Han. 2025. "Bibliometric and Visualized Analysis of Gut Microbiota and Hypertension Interaction Research Published from 2001 to 2024" Microorganisms 13, no. 7: 1696. https://doi.org/10.3390/microorganisms13071696

APA Style

Mo, J., Su, W., Qin, J., Feng, J., Yu, R., Li, S., Lv, J., Dong, R., Cheng, Y., & Han, B. (2025). Bibliometric and Visualized Analysis of Gut Microbiota and Hypertension Interaction Research Published from 2001 to 2024. Microorganisms, 13(7), 1696. https://doi.org/10.3390/microorganisms13071696

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