Research Hotspots and Trends of Endoplasmic Reticulum Stress in Obesity From 2014 to 2024: A CiteSpace Visualization Analysis

2014年至2024年肥胖症内质网应激研究热点及趋势:CiteSpace可视化分析

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Abstract

Over the decade from 2014 to 2024, extensive research has investigated the relationship between endoplasmic reticulum (ER) stress and obesity. Consequently, reviewing and analyzing the emerging trends and focal points in this field is of paramount importance. We retrieved publications on the association between obesity and ER stress from the Web of Science (WoS) Core Collection, limiting the time range to 2014-2024 and restricting the research types to "Articles" and "Reviews" and utilized CiteSpace software (Chen et al., College of Computing and Informatics, Drexel University, Philadelphia, PA) for visual analysis to identify hot topics and emerging trends. A total of 3,847 publications were retrieved, revealing a consistent upward trend in annual publication numbers. The majority of these publications originate from China and the United States. The top three most prolific authors are Jung Tae Woo, Abd El-Aty AM, and Jeong Ji Hoon. Keywords such as "endoplasmic reticulum stress," "insulin resistance," "oxidative stress," "obesity," and "unfolded protein response" have emerged as frequently used terms. These topics have garnered significant attention in recent years. Keyword cluster analysis identified the top three clusters as "follicular dysfunction," "energy homeostasis," and "activating transcription factor." Timeline analysis of keywords indicates that themes such as "energy homeostasis," "palmitic acid-induced stress," "metabolic syndrome," "endothelial cell dysfunction," and "diet-induced nonalcoholic steatohepatitis" span the entire data acquisition period. The analysis of ER stress in obesity from 2014 to 2024 suggests a focus on molecular mechanism analysis, disease association studies, and the development of therapeutic targets. These advancements may lead to revolutionary breakthroughs in the prevention, diagnosis, and treatment of obesity-related diseases.

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