Your new experience awaits. Try the new design now and help us make it even better

SYSTEMATIC REVIEW article

Front. Endocrinol.

Sec. Clinical Diabetes

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1626191

This article is part of the Research TopicInvestigating the Roles of Nutritional Determinants, Genetic Predispositions, and Environmental Risk Factors in the development of Obesity and Associated Metabolic DisordersView all 3 articles

Mapping the Research Landscape of the Interactions Between Obesity and Five Major Complications of Diabetes: A Bibliometric Analysis Using Knowledge Graph Visualization

Provisionally accepted
Yutong  LiuYutong Liu1*Yan  WangYan Wang2Xiaoming  TianXiaoming Tian3Tianyu  JiangTianyu Jiang1Chen  TangChen Tang4Likun  ZhuLikun Zhu4Wenze  CuiWenze Cui4Wenhuan  SongWenhuan Song4Chong  MaChong Ma5*Shoujun  SongShoujun Song1*Mingkun  YuMingkun Yu1*
  • 1Binzhou Medical College Affiliated Traditional Chinese Medicine, Binzhou, Shandong, China
  • 2Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China
  • 3Feicheng City People’s Hospital, Feicheng, Shandong, China
  • 4Binzhou Medical University, Yantai, Shandong, China
  • 5Affiliated Hospital of Binzhou Medical University, Binzhou, Shandong, China

The final, formatted version of the article will be published soon.

Background: Obesity significantly increases the risk of major complications of diabetes, including diabetic kidney disease (DKD), diabetic angiopathy, diabetic peripheral neuropathy, diabetic retinopathy, and diabetic foot ulcers (DFU). Although there is a well-established link between obesity and these complications, a comprehensive bibliometric study is needed to map the research landscape and identify the intellectual structure regarding the interactions between obesity and these complications. Purpose: This study aimed to systematically map the global research trends, key themes, and emerging frontiers in the interactions between obesity and five major complications of diabetes using bibliometric analysis and knowledge graph visualization. Methods: A comprehensive bibliometric analysis was conducted via Web of Science, Scopus, and PubMed databases (January 1, 2015, to March 17, 2025) addressing the interplay between obesity and five major complications of diabetes. Using VOSviewer and CiteSpace, the field's intellectual structure, collaboration networks, and thematic evolution were mapped by analyzing co-citation, keyword co-occurrence, and keyword bursts. Results: The analysis of 5,475 articles revealed a rapidly growing field, dominated by research on DKD (n=1,571) and diabetic angiopathy (n=1,303), and led by institutions in the USA and China. Thematic network analysis revealed that 'obesity', 'insulin resistance', and 'inflammation' represent the core pathophysiological mechanisms linking all five complications of diabetes. The keyword burst indicated a significant thematic evolution in the field. Specifically, the focus of studies has transitioned from initial studies on foundational associations to more in-depth studies targeting specific molecular pathways (e.g., 'NF-kappa B'), high-impact therapeutic interventions ('metabolic surgery'), and distinct patient populations ('children'). Through co-citation analysis, we found that research on obesity provides a unified intellectual backbone that structurally integrates the disparate research streams of the five major complications of diabetes. Conclusion: This study quantitatively confirmed that obesity is a scientific nexus for the five major complications of diabetes, shaping a research field characterized by rapid evolution and increasing mechanistic complexity. In conclusion, our findings advocate for a clinical paradigm that establishes weight management as a core component of diabetes treatment, while also guiding future studies toward the systematic clinical translation of mechanism-based interventions.

Keywords: Obesity, Diabetes Mellitus, diabetic complications, bibliometric analysis, Knowledge graphs, Research trends, Interaction Analysis

Received: 12 May 2025; Accepted: 24 Sep 2025.

Copyright: © 2025 Liu, Wang, Tian, Jiang, Tang, Zhu, Cui, Song, Ma, Song and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Yutong Liu, 17853581116@163.com
Chong Ma, byfymc@126.com
Shoujun Song, songshoujun@126.com
Mingkun Yu, yumingkun163@163.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.