# Berberine-gut microbiota interactions based on CiteSpace: current research status and hotspots

**Authors:** Yan Chen, Tao Chen, Shiyong Tian, Ling Tao, Fangfang Fan, Yuanyong Yang, Xiangchun Shen

PMC · DOI: 10.3389/fmicb.2026.1751887 · Frontiers in Microbiology · 2026-03-16

## TL;DR

This study maps the research on how berberine interacts with gut microbiota, highlighting trends, key topics, and future directions in this field.

## Contribution

A bibliometric analysis using CiteSpace to systematically review and visualize the research landscape of berberine-gut microbiota interactions.

## Key findings

- Annual publications on berberine-gut microbiota interactions have steadily increased, with China leading in research output.
- Key research clusters include diabetes, inflammation, bile acid metabolism, and colorectal cancer, with emerging hotspots like depression and fecal microbiota transplantation.
- Chinese studies focus more on disease applications, while English-language studies emphasize mechanistic insights.

## Abstract

The gut microbiota modulates host metabolic and immune homeostasis through host-microbiota interactions and microbial metabolites. Berberine (BBR), the primary active constituent of Coptis chinensis, has been shown to ameliorate host metabolic disorders by remodeling the gut microbial community. However, systematic reviews remain relatively scarce regarding the mechanisms underlying BBR-gut microbiota interactions.

Therefore, we conducted a bibliometric analysis of 426 articles retrieved from the Web of Science Core Collection (WOSCC) and the China National Knowledge Infrastructure (CNKI) database (January 1, 2005–January 31, 2025) using CiteSpace. Analyses included publication trends, country/author collaboration networks, keyword co-occurrence and burst detection, and document co-citation analysis.

The results revealed a steady increase in annual publications, with China contributing the majority of studies. Author collaboration networks indicated limited integration among research groups. Keyword analysis identified key research clusters such as diabetes, inflammation, bile acid metabolism, and colorectal cancer. Chinese studies placed greater emphasis on disease applications, whereas English-language articles tended to focus on mechanistic insights. Emerging research hotspots include depression, fecal microbiota transplantation, bile acids, and ulcerative colitis. Co-citation analysis highlighted two foundational themes: microbial metabolites and metabolic-immune crosstalk.

This bibliometric study systematically outlines the research landscape of berberine-gut microbiota interactions, highlighting emerging frontiers such as neuro-microbial crosstalk, fecal microbiota transplantation (FMT) -based combination therapies, and metabolic-immune mechanisms. The findings provide valuable references for identifying research trends, fostering collaboration, and guiding future investigations in this field.

Conceptual graphic summarizing 426 publications on berberine-gut microbiota interactions, showing research aspects like countries, institutions, authors, keywords, and journals, with future directions including depression, colorectal cancer, fecal transplantation, inflammatory responses, ulcerative colitis, bile acids, and astragalin.

## Linked entities

- **Chemicals:** Berberine (PubChem CID 2353), astragalin (PubChem CID 5282102)
- **Diseases:** diabetes (MONDO:0005015), colorectal cancer (MONDO:0005575), depression (MONDO:0002050), ulcerative colitis (MONDO:0005101)
- **Species:** Coptis chinensis (taxon 261450)

## Full-text entities

- **Diseases:** ulcerative colitis (MESH:D003093), metabolic disorders (MESH:D008659), inflammation (MESH:D007249), depression (MESH:D003866), colorectal cancer (MESH:D015179), diabetes (MESH:D003920)
- **Chemicals:** bile acid (MESH:D001647), BBR (MESH:D001599)
- **Species:** Coptis chinensis (species) [taxon 261450]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC13033680/full.md

## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13033680/full.md

## References

56 references — full list in the complete paper: https://tomesphere.com/paper/PMC13033680/full.md

---
Source: https://tomesphere.com/paper/PMC13033680