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谷氨酰胺代谢对糖尿病发展的影响:一项科学计量学综述

Influence of glutamine metabolism on diabetes Development:A scientometric review.

作者信息

Zhao Meina, Wang Kaiyan, Lin Rui, Mu Fei, Cui Jia, Tao Xingru, Weng Yan, Wang Jingwen

机构信息

Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032 Shannxi Province, China.

Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, 710032 Shannxi Province, China.

出版信息

Heliyon. 2024 Feb 3;10(4):e25258. doi: 10.1016/j.heliyon.2024.e25258. eCollection 2024 Feb 29.

DOI:10.1016/j.heliyon.2024.e25258
PMID:38375272
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10875382/
Abstract

OBJECTIVE

"Metabolism affects function" is the consensus of researchers at present. It has potential clinical application value to study the effects of regulating glutamine (Gln) metabolism on diabetes physiology or pathology. Our research aimed to summarize the latest research progress, frontier hot topics and future development trends in this field from the perspective of scientometrics.

METHODS

Relevant literatures and reviews were obtained from the Web of Science (WoS) between January 1, 2001 and May 31, 2022. An online analysis platform of bibliometrics, CiteSpace, and VOS viewer software were used to generate visual knowledge network graphs, including publication countries, institutions and authors partnership analysis, co-occurrence analysis, co-citation analysis, as well as citations and keywords burst detection to acquire research trends and hotspots.

RESULTS

Our results showed that a total of 945 publications in the WoS database met the analysis requirements, with articles being the main type. The overall characteristics showed an increasing trend in the number of publications and citations. The United States was leading the way in this research and was a hub for aggregating collaborations across countries. Vanderbilt University delivered high-quality impact with the most published articles. DeBerardinis, RJ in this field was the most representative author and his main research contents were Gln metabolism and mitochondrial glutaminolysis. Significantly, there was a relative lack of collaboration between institutions and authors. In addition, "type 2 diabetes", "glutamine", "metabolism", "gene expression" and "metabolomics" were the keywords categories with high frequency in co-citation references and co-occurrence cluster keywords. Analysis of popular keywords burst detection showed that "branched chain", "oxidative phosphorylation", "kinase", "insulin sensitivity", "tca cycle", "magnetic resonance spectroscopy" and "flux analysis" were new research directions and emerging methods to explore the link between Gln metabolism and diabetes. Overall, exploring Gln metabolism showed a gradual upward trend in the field of diabetes.

CONCLUSION

This comprehensive scientometric study identified the general outlook for the field and provided valuable guidance for ongoing research. Strategies to regulate Gln metabolism hold promise as a novel target to treat diabetes, as well as integration and intersection of multidisciplinary provides cooperation strategies and technical guarantees for the development of this field.

摘要

目的

“代谢影响功能”是目前研究人员的共识。研究调节谷氨酰胺(Gln)代谢对糖尿病生理或病理的影响具有潜在的临床应用价值。本研究旨在从科学计量学的角度总结该领域的最新研究进展、前沿热点话题和未来发展趋势。

方法

从2001年1月1日至2022年5月31日期间的科学网(WoS)获取相关文献和综述。使用文献计量学在线分析平台CiteSpace和VOS viewer软件生成可视化知识网络图,包括发表国家、机构和作者合作分析、共现分析、共被引分析,以及引文和关键词突现检测,以获取研究趋势和热点。

结果

我们的结果表明,WoS数据库中共有945篇出版物符合分析要求,其中文章是主要类型。总体特征显示出版物数量和被引次数呈上升趋势。美国在该研究中处于领先地位,是各国合作的聚集中心。范德堡大学发表的文章最多,产生了高质量的影响力。该领域的RJ DeBerardinis是最具代表性的作者,其主要研究内容是Gln代谢和线粒体谷氨酰胺分解代谢。值得注意的是,机构和作者之间的合作相对较少。此外,“2型糖尿病”“谷氨酰胺”“代谢”“基因表达”和“代谢组学”是共被引参考文献和共现聚类关键词中高频出现的关键词类别。热门关键词突现检测分析表明,“支链”“氧化磷酸化”“激酶”“胰岛素敏感性”“三羧酸循环”“磁共振波谱”和“通量分析”是探索Gln代谢与糖尿病之间联系的新研究方向和新兴方法。总体而言,在糖尿病领域探索Gln代谢呈逐渐上升趋势。

结论

这项全面的科学计量学研究确定了该领域的总体概况,并为正在进行的研究提供了有价值的指导。调节Gln代谢的策略有望成为治疗糖尿病的新靶点,多学科的整合与交叉为该领域的发展提供了合作策略和技术保障。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/8eec2e70e329/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/2198608a075b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/efb2fb163736/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/7050c92298bb/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/4ffc20b95348/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/2ce91af3765d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/a973588bd002/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/0fd022ef1c1b/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/3d31f5fae1d9/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/469fe7fd6e7a/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/9dbe8f6ad946/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/8eec2e70e329/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/2198608a075b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/efb2fb163736/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/7050c92298bb/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/4ffc20b95348/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/2ce91af3765d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/a973588bd002/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/0fd022ef1c1b/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/3d31f5fae1d9/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/469fe7fd6e7a/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/9dbe8f6ad946/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/10875382/8eec2e70e329/gr11.jpg

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