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ORIGINAL RESEARCH article
Front. Mol. Biosci.
Sec. Metabolomics
Volume 11 - 2024 |
doi: 10.3389/fmolb.2024.1309006
Sequencing technology in sarcopenia: current research progress and future trends
Provisionally accepted- 1 Medical College, Yangzhou University, Yangzhou, Jiangsu Province, China
- 2 Dalian Medical University, Dalian, Liaoning, China
- 3 Yangzhou University, Yangzhou, Jiangsu Province, China
- 4 Northern Jiangsu People's Hospital, Yangzhou University, Yangzhou, Jiangsu Province, China
- 5 Department of Orthopedics,Northern Jiangsu People's Hosptial Affiliated to Yangzhou University, Yangzhou, China
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.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.
Keywords: Sarcopenia, muscle atrophy, Gene sequencing, Protein sequencing, metabolic sequencing, bibliometric analysis
Received: 07 Oct 2023; Accepted: 25 Jun 2024.
Copyright: © 2024 Yang, Li, Dai, Zhang, Dai, Wang and Fei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yuxia Yang, Medical College, Yangzhou University, Yangzhou, 225001, Jiangsu Province, China
Mingjun Li, Dalian Medical University, Dalian, 116044, Liaoning, China
Xiaomei Dai, Yangzhou University, Yangzhou, 225009, Jiangsu Province, China
Jian Zhang, Yangzhou University, Yangzhou, 225009, Jiangsu Province, China
Jihang Dai, Northern Jiangsu People's Hospital, Yangzhou University, Yangzhou, 225001, Jiangsu Province, China
Jingcheng Wang, Northern Jiangsu People's Hospital, Yangzhou University, Yangzhou, 225001, Jiangsu Province, China
Wen-Yong Fei, Department of Orthopedics,Northern Jiangsu People's Hosptial Affiliated to Yangzhou University, Yangzhou, China
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