Research trends on the gut microbiota in endocrine metabolism: a thematic and bibliometric analysis


Creative Commons License

DOĞAN D., ÇELİK T.

Frontiers in Cellular and Infection Microbiology, cilt.14, 2024 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 14
  • Basım Tarihi: 2024
  • Doi Numarası: 10.3389/fcimb.2024.1371727
  • Dergi Adı: Frontiers in Cellular and Infection Microbiology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, EMBASE, MEDLINE, Directory of Open Access Journals
  • Anahtar Kelimeler: gut microbiota, bibliometric analysis, endocrinology, probiotics, short-chain fatty acid
  • Çanakkale Onsekiz Mart Üniversitesi Adresli: Evet

Özet

Background: Gut microbiota studies in the field of endocrinology metabolism have attracted increasing attention in recent years. To comprehensively assess the evolving landscape of this research field, we conducted a thorough bibliometric analysis of gut microbiota studies in endocrinology metabolism indexed in the Web of Science database. Methods: We collected and analyzed 3,339 original research articles and reviews published from 1972 to 2023. Using various bibliometric indicators, we investigated publication trends, country contributions, international collaborations, prolific authors, top journals, and influential articles. Results: Our analysis revealed a significant upsurge in publications after 2010, indicating a growing scientific interest in microbiota and endocrinology metabolism. Keyword and thematic analyses have identified gut microbiota, obesity, diabetes, and inflammation as core research themes. Additionally, the roles of probiotics and prebiotics are increasingly researched for their therapeutic effects in shaping the microbiota. Conclusion: This study reveals that research in endocrinology metabolism is increasingly decoding the connection between gut microbiota and diseases. There’s also a growing focus on microbiota manipulation, which points to a shift towards personalized medicine. Future research should focus on integrating these findings into clinical practice, moving from lab-based studies to real-world patient care.