Li Hong, Li Liu, Huang Qiu-Qing, Yang Si-Yao, Zou Jun-Ju, Xiao Fan, Xiang Qin, Liu Xiu, Yu Rong
College of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China.
College of International Education, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China.
World J Diabetes. 2024 May 15;15(5):1021-1044. doi: 10.4239/wjd.v15.i5.1021.
Diabetes is a metabolic disease characterized by hyperglycemia, which has increased the global medical burden and is also the main cause of death in most countries.
To understand the knowledge structure of global development status, research focus, and future trend of the relationship between diabetes and metabolomics in the past 20 years.
The articles about the relationship between diabetes and metabolomics in the Web of Science Core Collection were retrieved from 2002 to October 23, 2023, and the relevant information was analyzed using CiteSpace6.2.2R (CiteSpace), VOSviewer6.1.18 (VOSviewer), and Bibliometrix software under R language.
A total of 3123 publications were included from 2002 to 2022. In the past two decades, the number of publications and citations in this field has continued to increase. The United States, China, Germany, the United Kingdom, and other relevant funds, institutions, and authors have significantly contributed to this field. and are the journals with the most publications and the most citations. Through keyword co-occurrence and cluster analysis, the closely related keywords are "insulin resistance", "risk", "obesity", "oxidative stress", "metabolomics", "metabolites" and "biomarkers". Keyword clustering included cardiovascular disease, gut microbiota, metabonomics, diabetic nephropathy, molecular docking, gestational diabetes mellitus, oxidative stress, and insulin resistance. Burst detection analysis of keyword depicted that "Gene", "microbiota", "validation", "kidney disease", "antioxidant activity", "untargeted metabolomics", "management", and "accumulation" are knowledge frontiers in recent years.
The relationship between metabolomics and diabetes is receiving extensive attention. Diabetic nephropathy, diabetic cardiovascular disease, and kidney disease are key diseases for future research in this field. Gut microbiota, molecular docking, and untargeted metabolomics are key research directions in the future. Antioxidant activity, gene, validation, mass spectrometry, management, and accumulation are at the forefront of knowledge frontiers in this field.
糖尿病是一种以高血糖为特征的代谢性疾病，它增加了全球医疗负担，也是大多数国家主要的死亡原因。
了解过去20年全球糖尿病与代谢组学关系的发展现状、研究热点及未来趋势的知识结构。
检索2002年至2023年10月23日Web of Science核心合集中关于糖尿病与代谢组学关系的文章，并使用CiteSpace6.2.2R（CiteSpace）、VOSviewer6.1.18（VOSviewer）和R语言下的Bibliometrix软件对相关信息进行分析。
2002年至2022年共纳入3123篇出版物。在过去二十年中，该领域的出版物数量和被引频次持续增加。美国、中国、德国、英国等相关基金、机构和作者对该领域贡献显著。 和 是发表文章最多且被引频次最高的期刊。通过关键词共现和聚类分析，密切相关的关键词有“胰岛素抵抗”“风险”“肥胖”“氧化应激”“代谢组学”“代谢物”和“生物标志物”。关键词聚类包括心血管疾病、肠道微生物群、代谢组学、糖尿病肾病、分子对接、妊娠期糖尿病、氧化应激和胰岛素抵抗。关键词的突发检测分析表明，“基因”“微生物群”“验证”“肾脏疾病”“抗氧化活性”“非靶向代谢组学”“管理”和“积累”是近年来的知识前沿。
代谢组学与糖尿病的关系受到广泛关注。糖尿病肾病、糖尿病心血管疾病和肾脏疾病是该领域未来研究的关键疾病。肠道微生物群、分子对接和非靶向代谢组学是未来的关键研究方向。抗氧化活性、基因、验证、质谱、管理和积累处于该领域知识前沿的前列。
