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Bibliometric and visual analysis of mesenchymal stem cells in the treatment of osteoporosis based on CiteSpace software
The focus of research in the treatment of osteoporosis (OP) has evolved from promoting bone formation and inhibiting bone resorption to current stem cell therapy. Due to their multipotent differentiation properties, mesenchymal stem cells (MSCs) can repair degenerated bones through transplantation,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678533/ https://www.ncbi.nlm.nih.gov/pubmed/36401376 http://dx.doi.org/10.1097/MD.0000000000031859 |
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author | Wang, Runfang Wang, Yueying Zai, Weiyi Xu, Ning |
author_facet | Wang, Runfang Wang, Yueying Zai, Weiyi Xu, Ning |
author_sort | Wang, Runfang |
collection | PubMed |
description | The focus of research in the treatment of osteoporosis (OP) has evolved from promoting bone formation and inhibiting bone resorption to current stem cell therapy. Due to their multipotent differentiation properties, mesenchymal stem cells (MSCs) can repair degenerated bones through transplantation, and have become a new method for the treatment of OP. METHODS: Relevant literatures included in the Web of Science database core collection database from 2012 to 2021 were retrieved. CiteSpace software was used to analyze the cooperative relationship among authors, journals, institutions, and countries, and to analyze the co-citation situation of the literature. And performed co-occurrence analysis, cluster analysis and burst analysis of keywords, draw visual maps and analyzed the results. RESULTS: A total of 2100 papers were included, and the number of papers published from 2012 to 2021 was on the rise. A total of 484 authors were included, and 176 authors published more than 3 papers. The high-yield authors were mainly represented by YAN JIN and BO GAO. A total of 99 journals were included, and the journal with the most publications was J BONE MINER RES. A total of 787 institutions were included, and the institution with the largest number of publications was Shanghai Jiao Tong University. A total of 65 countries were included. The country with the largest number of publications was China, and the United States had the highest centrality. The co-citation analysis of the literature found 2 articles with high citation frequency and high centrality. The main research direction was the mechanism of MSCs in the treatment of osteoporosis. A total of 133 keywords were included, and the hot keywords were osteogenic differentiation, expression, proliferation, bone marrow, etc. CONCLUSIONS: The research hotspots in this field mainly focused on the mechanism of bone regeneration, proliferation and osteogenic differentiation of bone marrow MSCs, and the expression of osteogenic-related genes. The future research trends in this field are predicted to be the mechanism of action of microRNA and long non-coding RNA on MSCs and their relationship with OP, the mechanism of MSCs adipogenic and osteogenic differentiation, and tissue engineering scaffolds applications. |
format | Online Article Text |
id | pubmed-9678533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-96785332022-11-22 Bibliometric and visual analysis of mesenchymal stem cells in the treatment of osteoporosis based on CiteSpace software Wang, Runfang Wang, Yueying Zai, Weiyi Xu, Ning Medicine (Baltimore) 3800 The focus of research in the treatment of osteoporosis (OP) has evolved from promoting bone formation and inhibiting bone resorption to current stem cell therapy. Due to their multipotent differentiation properties, mesenchymal stem cells (MSCs) can repair degenerated bones through transplantation, and have become a new method for the treatment of OP. METHODS: Relevant literatures included in the Web of Science database core collection database from 2012 to 2021 were retrieved. CiteSpace software was used to analyze the cooperative relationship among authors, journals, institutions, and countries, and to analyze the co-citation situation of the literature. And performed co-occurrence analysis, cluster analysis and burst analysis of keywords, draw visual maps and analyzed the results. RESULTS: A total of 2100 papers were included, and the number of papers published from 2012 to 2021 was on the rise. A total of 484 authors were included, and 176 authors published more than 3 papers. The high-yield authors were mainly represented by YAN JIN and BO GAO. A total of 99 journals were included, and the journal with the most publications was J BONE MINER RES. A total of 787 institutions were included, and the institution with the largest number of publications was Shanghai Jiao Tong University. A total of 65 countries were included. The country with the largest number of publications was China, and the United States had the highest centrality. The co-citation analysis of the literature found 2 articles with high citation frequency and high centrality. The main research direction was the mechanism of MSCs in the treatment of osteoporosis. A total of 133 keywords were included, and the hot keywords were osteogenic differentiation, expression, proliferation, bone marrow, etc. CONCLUSIONS: The research hotspots in this field mainly focused on the mechanism of bone regeneration, proliferation and osteogenic differentiation of bone marrow MSCs, and the expression of osteogenic-related genes. The future research trends in this field are predicted to be the mechanism of action of microRNA and long non-coding RNA on MSCs and their relationship with OP, the mechanism of MSCs adipogenic and osteogenic differentiation, and tissue engineering scaffolds applications. Lippincott Williams & Wilkins 2022-11-18 /pmc/articles/PMC9678533/ /pubmed/36401376 http://dx.doi.org/10.1097/MD.0000000000031859 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | 3800 Wang, Runfang Wang, Yueying Zai, Weiyi Xu, Ning Bibliometric and visual analysis of mesenchymal stem cells in the treatment of osteoporosis based on CiteSpace software |
title | Bibliometric and visual analysis of mesenchymal stem cells in the treatment of osteoporosis based on CiteSpace software |
title_full | Bibliometric and visual analysis of mesenchymal stem cells in the treatment of osteoporosis based on CiteSpace software |
title_fullStr | Bibliometric and visual analysis of mesenchymal stem cells in the treatment of osteoporosis based on CiteSpace software |
title_full_unstemmed | Bibliometric and visual analysis of mesenchymal stem cells in the treatment of osteoporosis based on CiteSpace software |
title_short | Bibliometric and visual analysis of mesenchymal stem cells in the treatment of osteoporosis based on CiteSpace software |
title_sort | bibliometric and visual analysis of mesenchymal stem cells in the treatment of osteoporosis based on citespace software |
topic | 3800 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678533/ https://www.ncbi.nlm.nih.gov/pubmed/36401376 http://dx.doi.org/10.1097/MD.0000000000031859 |
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