Wang Ming-Yan, Mo Xing-Yu, Yi Meng-Xu, Lu Hong-Yan
Department of Pediatrics, The Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Front Med (Lausanne). 2024 Nov 27;11:1443926. doi: 10.3389/fmed.2024.1443926. eCollection 2024.
Extensive research has examined the role of metabolism in lung disease development, yet a comprehensive literature review remains absent despite numerous publications.
This study aims to visualize and assess the advancements in research on metabolism and its role in lung diseases.
Publications from January 1, 1991, to April 30, 2024, related to lung diseases and metabolism were sourced from the Web of Science Core Collection and analyzed using CiteSpace 6.2.R4, VOSviewer 1.6.19, Bibliometrix, R Studio, and various online tools.
A total of 1,542 studies were collected and processed through these platforms for literature analysis and data visualization. The analysis revealed a sharp increase in annual publications on metabolism and lung diseases, with the United States and China emerging as leading contributors. Current research trends highlight a shift toward investigating metabolic reprogramming of immune cells in the context of lung diseases. Moreover, genes such as TNF, DIF, AKT1, INS, IL-6, CXCL8, IL-1β, TP53, NF-κB1, MTOR, IFNG, TGF-β1, HIF1α, VEGFA, IL-10, NFE2L2, PPARG, AKT, CRP, STAT3, and CD4 have received significant attention in this research domain. Employing a bibliometric approach, this study offers a comprehensive and objective examination of the knowledge landscape, shedding light on the evolving trends in this field. The findings serve as a valuable resource for researchers, offering a clearer perspective on the advancements in metabolism-related lung disease studies.
广泛的研究已经探讨了新陈代谢在肺部疾病发展中的作用,然而,尽管有大量出版物,但仍缺乏全面的文献综述。
本研究旨在可视化并评估新陈代谢及其在肺部疾病中的作用的研究进展。
从科学网核心合集获取1991年1月1日至2024年4月30日期间与肺部疾病和新陈代谢相关的出版物,并使用CiteSpace 6.2.R4、VOSviewer 1.6.19、Bibliometrix、R Studio和各种在线工具进行分析。
通过这些平台共收集并处理了1542项研究,用于文献分析和数据可视化。分析显示,关于新陈代谢和肺部疾病的年度出版物急剧增加,美国和中国是主要贡献者。当前的研究趋势突出了在肺部疾病背景下向研究免疫细胞代谢重编程的转变。此外,TNF、DIF、AKT1、INS、IL-6、CXCL8、IL-1β、TP53、NF-κB1、MTOR、IFNG、TGF-β1、HIF1α、VEGFA、IL-10、NFE2L2、PPARG、AKT、CRP、STAT3和CD4等基因在该研究领域受到了显著关注。本研究采用文献计量学方法,对知识格局进行了全面客观的审视,揭示了该领域的发展趋势。这些发现为研究人员提供了宝贵的资源,使他们对新陈代谢相关肺部疾病研究的进展有更清晰的认识。