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Emerging Trends and Research Hotspots in Gut Microbiota–Liver Fibrosis Research (2008–2025): A Bibliometric Analysis
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DOI：10.1016/j.tjnut.2026.101683.png)
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Abstract
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The gut microbiota plays an increasingly recognized role in liver fibrosis (LF), yet the translational value of this research for nutrition-based interventions remains poorly synthesized. This bibliometric analysis systematically retrieved 2,730 publications on gut microbiota and LF from the Web of Science Core Collection (2008–2025) using CiteSpace and VOSviewer to map publication trends, collaboration networks, and keyword hotspots. The United States(USA) and China lead in productivity, with the University of California System ranking highest among institutions. Scholarly output was disseminated through a diverse range of journals, among which the International Journal of Molecular Sciences, Nutrients, and World Journal of Gastroenterology exhibited the highest publication counts. Co-citation keyword clustering revealed ten major thematic clusters: alcoholic liver disease, metabolic syndrome, short-chain fatty acids (SCFAs), bacterial translocation, farnesoid X receptor (FXR), hepatic encephalopathy, gut–liver axis, liver cancer, bile acids, and systemic inflammation. The translational relevance of these bibliometric findings to nutritional science can be summarized as follows. The SCFA cluster, which exhibited a burst from 2008 to 2018, mechanistically links dietary fermentable fiber to hepatic stellate cell (HSC) inactivation via GPR43/HDAC inhibition, thereby prioritizing fiber-based interventions. The FXR–bile acid axis, with a burst period from 2012 to 2017, identifies dietary tryptophan and phytosterols as potential modulators of AhR/TGR5, warranting dose–response testing. The recent emergence of the “low-BCAA diet” concept, detected in raw keyword trends from 2022 to 2025, suggests a paradigm shift from probiotic supplementation toward substrate-modulating dietary patterns. In conclusion, this analysis provides a quantitative roadmap that prioritizes specific dietary components and microbial metabolic pathways for hypothesis-driven nutritional intervention trials in LF.
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