Journal of Dali University ›› 2026, Vol. 11 ›› Issue (4): 42-54.DOI: 10. 3969 / j. issn. 2096-2266. 2026. 04. 007

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Bibliometric and Visual Analysis of Research on Depression in Older Adults and Gut Microbiota Based#br# on CiteSpace

Chen Zizhen¹, Yuan Zhiqiong¹, Zhang Xiao², Ji Siyu¹, Guo Shouxia¹, Guo Qinghua¹, Li Lijuan¹*   

  1. ( 1. College of Public Health, Dali University, Dali, Yunnan 671000, China; 2. School of Public Health, Gansu University of Chinese
    Medicine, Lanzhou 730000, China)
  • Received:2026-01-13 Online:2026-04-15 Published:2026-05-19

Abstract: Objective:To analyze the development trends, cooperative network structure, knowledge base and evolution of research
hotspots in studies concerning depression in older adults and gut microbiota through bibliometric and visualization methods, and to pro⁃
vide references for future research. Methods: Relevant publications indexed in the Web of Science Core Collection from January 2005
to December 2025 were retrieved. A total of 486 original research articles and review articles were included. CiteSpace 6.4.R1 software
was used to construct collaboration networks of countries, institutions, and authors, co-citation networks, and keyword co-occurrence
networks, and to identify research frontiers via burst detection. Results: Publication output showed a phased increase, peaking in 2024
with 87 papers (17.9% of total). A total of 61 countries and 286 institutions contributed to this field. The United States ranked first in
both publication volume and centrality(126 papers, centrality 0.40), whereas China ranked second (119 papers) but had a low centrality
(0.02). A total of 328 authors participated, with highly productive authors all showing a centrality of 0.00, indicating fragmented collabo⁃
ration. Co-citation analysis formed 13 knowledge clusters (Silhouette values all > 0.85), covering topics such as dysbiosis and metabo⁃
lism, affective disorders, neurodevelopment, and inflammatory aging. Burst detection showed an evolution of research foci from descrip⁃
tive phenomena ("intestinal microbiota", strength 3.61) to mechanistic exploration ("gut brain axis", strength 2.76) and methodological
validation ("validity", strength 2.94). Conclusion: From 2005 to 2025, research on older adults depression and gut microbiota has
evolved from phenomenological description to mechanistic exploration and then to clinical translation. The research network exhibits a
"strong core-weak periphery" structure, and international collaboration needs to be strengthened. Cognitive impairment, gender differ⁃
ences, and expansion of disease spectrum may emerge as important future research directions, providing new insights for personalized
diagnosis and treatment of geriatric depression based on microbiome characteristics.

Key words: older adults depression, gut microbiota, gut-brain axis, bibliometric analysis

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