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肌肉减少症的测序技术:当前研究进展与未来趋势

Sequencing technology in sarcopenia: current research progress and future trends.

作者信息

Yang Yuxia, Meng Xiangji, Dai Xiaomei, Zhang Jian, Dai Jihang, Wang Jingcheng, Fei Wenyong

机构信息

Department of Orthopedics and Sports Medicine, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.

Department of Orthopedics and Sports Medicine, Northern Jiangsu People's Hospital Affiliated to Dalian Medical University, Dalian, China.

出版信息

Front Mol Biosci. 2024 Sep 3;11:1309006. doi: 10.3389/fmolb.2024.1309006. eCollection 2024.

Abstract

BACKGROUND

Muscle is an important tissue of the human body. Muscle atrophy is common in people of all ages, which will lead to human weakness and decline of motor function, which is one of the important causes of disability. The common methods of genomics research are transcriptome, proteomics and metabolomics, which are important means to explore the molecular pathology of diseases. In recent years, combinatorial research has been carried out on a large scale in the field of muscle atrophy. However, no author in this field has carried out bibliometrics and visual analysis.

METHODS

In this study, articles related to the histological study of muscular dystrophy since 2000 were searched from the Web of Science core database (WoSCC). We will retrieve the results through CiteSpace, VosViewer and R for data statistics and visual analysis.

RESULTS

In this study, a total of 141 publications were collected, and the number of publications increased year by year. These 141 articles came from 1031 co-authors from 361 institutions in 31 countries and were published in 92 journals. A total of 6286 articles from 1383 journals were cited. Authors from American institutions have published the most articles and have been cited the most, and authors from other countries have also made considerable contributions.

CONCLUSION

This is the first bibliometric and visual analysis of published research in the field of muscular dystrophy through systematic data retrieval and combined with a variety of bibliometric analysis tools. Through these data, we summarize the previous studies of scholars, and provide prospects for future research in the field.

摘要

背景

肌肉是人体的重要组织。肌肉萎缩在各年龄段人群中都很常见,会导致人体虚弱和运动功能下降,是致残的重要原因之一。基因组学研究的常用方法有转录组学、蛋白质组学和代谢组学,是探索疾病分子病理学的重要手段。近年来,在肌肉萎缩领域开展了大规模的联合研究。然而,该领域尚无作者进行过文献计量学和可视化分析。

方法

本研究从科学网核心数据库(WoSCC)中检索2000年以来与肌肉萎缩组织学研究相关的文章。我们将通过CiteSpace、VosViewer和R对检索结果进行数据统计和可视化分析。

结果

本研究共收集到141篇出版物,且出版物数量逐年增加。这141篇文章来自31个国家361个机构的1031位共同作者,发表在92种期刊上。共引用了来自1383种期刊的6286篇文章。美国机构的作者发表的文章最多,被引用次数也最多,其他国家的作者也做出了相当大的贡献。

结论

这是首次通过系统的数据检索并结合多种文献计量分析工具,对肌肉萎缩领域已发表研究进行文献计量学和可视化分析。通过这些数据,我们总结了学者们以前的研究,并为该领域未来的研究提供了展望。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/419f/11405232/18b305cd684a/fmolb-11-1309006-g001.jpg

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