中国组织工程研究

中国组织工程研究 ›› 2025, Vol. 29 ›› Issue (29): 6360-6368.doi: 10.12307/2025.764

• 组织工程相关大数据分析 Big data analysis in tissue engineering • 上一篇    下一篇

骨质疏松症相关长链非编码RNA：研究现状及发展趋势

吴王祥1，冉栋成1，许嘉木1，胥家福1，陈晶晶1，王春庆2   

  1. 1贵州医科大学临床医学院，贵州省贵阳市  550004；2贵州医科大学附属医院急诊外科，贵州省贵阳市  550004

  • 收稿日期:2024-09-25 接受日期:2024-11-12 出版日期:2025-10-18 发布日期:2025-03-10
  • 通讯作者: 王春庆，博士，教授，贵州医科大学附属医院急诊外科，贵州省贵阳市 550004
  • 作者简介:吴王祥，男，1997年生，贵州医科大学在读硕士，主要从事骨质疏松症的基础与临床研究。
  • 基金资助:
    国家自然科学基金(82060271)，项目负责人：王春庆

Long noncoding RNAs related to osteoporosis: current research status and developmental trends

Wu Wangxiang1, Ran Dongcheng1, Xu Jiamu1, Xu Jiafu1, Chen Jingjing1, Wang Chunqing2   

  1. 1School of Clinical Medicine, Guizhou Medical University, Guiyang 550004, Guizhou Province, China; 2Department of Emergency Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang 550004, Guizhou Province, China
  • Received:2024-09-25 Accepted:2024-11-12 Online:2025-10-18 Published:2025-03-10
  • Contact: Wang Chunqing, MD, Professor, Department of Emergency Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang 550004, Guizhou Province, China
  • About author:Wu Wangxiang, Master candidate, School of Clinical Medicine, Guizhou Medical University, Guiyang 550004, Guizhou Province, China
  • Supported by:
    National Natural Science Foundation of China, No. 82060271 (to WCQ)

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摘要：


文题释义：
长链非编码RNA：是一种长度大于200个核苷酸、无蛋白质编码功能的 RNA转录本，近年来有研究发现长链非编码RNA在骨质疏松症的发生发展过程中起重要作用。
骨质疏松症：是一种全身性代谢性骨病，特征是骨微结构破坏和骨骼强度受损，导致骨折易感性增加，其与骨代谢的成骨及破骨分化稳态失衡有着密切联系。

背景：研究发现长链非编码RNA在骨质疏松症的发生和发展中扮演着重要的角色，因此了解长链非编码RNA在骨质疏松领域的研究现状、热点及发展趋势尤为重要。
目的：通过对骨质疏松症相关长链非编码RNA研究进行文献计量学统计及可视化分析，以期探索该领域的研究现状、发展趋势与研究热点。
方法：以“(TS=(Osteoporosis OR Osteoporoses) AND TS=(Long non coding RNA OR LncRNA OR Lnc RNA OR Long noncoding RNA))”为检索式，对2015年1月至2024年9月在Web of Science核心合集数据库中的文献进行主题词检索。检索获得的原始数据经过人工排除筛选后，应用Cite Space 6.2.R4软件及微软Microsoft 365 (office)对作者、机构、国家以及关键词进行可视化分析。
结果与结论：共纳入265篇文献，自2015年来，骨质疏松症相关长链非编码RNA领域发文量总体呈上升趋势，研究中心性和发文量最高的国家均为中国，研究中心性最高的机构为北京航空航天大学。去除与文章主题直接相关的关键词，综合共现频率及中心性，“osteogenic differentiation”“expression”“bone formation”和“mesenchymal stem cells” 处于骨质疏松症相关长链非编码RNA研究领域较为核心的地位。综合关键词聚类图谱、关键词突现图谱及关键词时间线图，探究长链非编码RNA针对成骨细胞的形成以及分化、破骨细胞的分化及骨吸收的分子作用机制等是骨质疏松症相关长链非编码RNA领域目前的研究热点，也是未来的研究趋势。
https://orcid.org/0009-0002-6487-5335(吴王祥)

中国组织工程研究杂志出版内容重点：组织构建；骨细胞；软骨细胞；细胞培养；成纤维细胞；血管内皮细胞；骨质疏松；组织工程

关键词: 骨质疏松症, 长链非编码RNA, 文献计量学, 可视化分析, Cite Space, 成骨细胞, 破骨细胞, 分化

Abstract: BACKGROUND: Studies have indicated that long noncoding RNAs play a crucial role in the pathogenesis and progression of osteoporosis. Thus, it is essential to comprehend the current research status, hotspots, and developmental trajectories of long noncoding RNAs in the field of osteoporosis research.
OBJECTIVE: To explore the research status, development trends, and hotspots in the field of osteoporosis-related long noncoding RNAs by conducting bibliometric statistics and visualization analysis of the relevant literature.
METHODS: Using the search string “(TS=(Osteoporosis OR Osteoporoses) AND TS=(Long non coding RNA OR LncRNA OR Lnc RNA OR Long noncoding RNA)) ,” a subject term search was conducted in the Web of Science Core Collection database for articles published from January 2015 to September 2024. After manual filtering of the obtained raw data, visualization analysis of authors, institutions, countries, and keywords was performed using Cite Space 6.2.R4 software and Microsoft 365 (Office). 
RESULTS AND CONCLUSION: A total of 265 articles were included from the Web of Science Core Collection database. Since 2015, there has been an overall upward trend in the number of publications in this field, with China being the leading country in terms of publication volume and research centrality, while Beihang University holds the highest institutional centrality. After keywords directly related to the article’s theme were excluded, the terms “osteogenic differentiation,” “expression,” “bone formation,” and “mesenchymal stem cells” emerged as core topics based on co-occurrence frequency and centrality. A comprehensive analysis of the keyword cluster map, keyword burst map, and keyword timeline map reveals that investigating the mechanisms by which long non-coding RNAs influence the formation and differentiation of osteoblasts, as well as the differentiation of osteoclasts and bone resorption, constitutes both a current research hotspot and a future research trend in this field.

Key words: osteoporosis, long non-coding RNA, bibliometrics, visualization analysis, Cite Space, osteoblasts, osteoclasts, differentiation

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