Bibliometric and visual analysis of the research status and trends of senescence in osteoporosis

doi:10.12307/2026.594

Abstract

Abstract: BACKGROUND: Cellular senescence, which triggers the aging process of physiological decline in the body, is closely related to osteoporosis. With the development of aging research, significant progress has been made in the study of targeted clearance of senescent cells. Accordingly, senolytic cell therapy for osteoporosis based on this has attracted increasing attention. Current research on the association between aging and osteoporosis shows the characteristic of multidisciplinary intersection. However, existing reviews are mostly based on a single database (such as PubMed) and lack a systematic comparative analysis of Chinese and English literature. Therefore, it is of great academic value to integrate resources from multiple databases and systematically reveal the research status and hot trends of aging in the field of osteoporosis research.
OBJECTIVE: To summarize the development, current status, hotspots, and future trends of research on aging in the field of osteoporosis over the past 20 years, so as to provide references for future related research.
METHODS: We searched for research literature on the correlation between aging and osteoporosis in CNKI, WanFang, VIP and Web of Science Core Database. The search time span was from August 1, 2004 to September 24, 2024. Then, we used NoteExpress 4.0 for data cleaning and CiteSpace 6.3R1 (Advanced) and Excel (2024) for literature analysis.
RESULTS AND CONCLUSION: Since 2004, research on the correlation between aging and osteoporosis has shown a significant growth trend. Bibliometric analysis shows that (as of September 2024), and 1 275 English documents and 151 Chinese documents have been published, with the highest number of publications in China and the United States. In terms of publishing institutions, the Mayo Clinic ranked first, followed by Shanghai Jiao Tong University and the University of California system. As for core authors, Sundeep Khosla and Joshua Nicholas Farr were the authors with the most publications and citations, while Pei Lingpeng and Hui Bodi were the most worthy of attention in Chinese literature. After the keywords “aging” and “osteoporosis” and their synonyms were excluded, it was found that cellular senescence, senescence-associated secretory phenotype, signaling pathways, and targeted senolytic cell clearance therapy haven been the current research hotspots and theoretical frontiers.

Key words: osteoporosis, senescence, CiteSpace;, cellular senescence, senescence-associated secretory phenotype, hotspots

CLC Number:

Zhang Haiwen, Zhang Xian, Xu Taichuan, Li Chao. Bibliometric and visual analysis of the research status and trends of senescence in osteoporosis[J]. Chinese Journal of Tissue Engineering Research, 2026, 30(6): 1580-1591.

Figures/Tables 14

2.1 年度发文量分析数据统计显示2004-2024年期间，文献量呈现持续增长趋势，2004-2015年发文量为相对停滞阶段，年发文量不足50篇，而2016-2018年为缓慢增长阶段，最后由2018年的68篇至今2024年的119篇为文献激增阶段，而中文文献呈缓慢增长趋势。从总发文趋势来看，近6年来衰老在骨质疏松领域的研究正受到热切关注，见图2。 2.2 发文国家和机构分析通过将文献导入CiteSpace软件后，从英文文献中统计发文国家，通过分析得到节点N=64个，连线E=110条，表明发文国家为64个，合作次数为110次。中国(470篇)发文数量最多，其次是美国(402篇)、日本(93篇)，中国和美国发文量远远领先于其他国家，占总发文量的63.4%；从发文国家的中心性上看，美国(0.72)以极高的中心性位列第一，其次是中国(0.22)、英国(0.19)，见表2。衰老在骨质疏松领域中国发文量最多，但在中心性上美国领先于其他国家，说明美国在该领域的影响力十分突出。从国家合作上看，尽管欧洲国家单独发文量小，但形成了一个紧密的合作网络，见图3。在机构分析中，英文文献得出节点N=443个，连线E=565条，前10个发文机构有6个为美国机构，其余4个为中国机构，Mayo Clinic(梅奥医学中心)发文量为45篇，位列发文机构第一，其次是Shanghai Jiao Tong University(上海交通大学)39篇，University of California System(加州大学系统)38篇。在中文文献中，中国中医科学院骨伤科研究所发文量为6篇，位列第一，其次是北京联合大学和天津中医大学，发文量均为5篇，见表3。国内的机构合作主要以广州中医药大学和天津中医药大学形成的两个合作网络为主，见图4。 2.3 期刊分析英文文献共在455种期刊上发表，其中以期刊《Journal of"

Bone and Mineral Research》发表60篇论文为最多，第二是《Aging Cell》43篇，而第三是《Bone》40篇。在发表量前10期刊中有7个是中科院升级版(2023)分区2区及以上的期刊，其中《Aging Cell》的影响因子8.0为最高，见表4。而中文文献共在84种期刊上发表，其中最值得关注的是发表了27篇的《中国骨质疏松杂志》和发表了10篇的《中国老年学杂志》，在发表量前10的期刊中只有2个不是中文核心期刊，见表5。在英文文献共被引期刊分析中，共有746种期刊被引用，《Journal of Bone and Mineral Research》被引最多(n=980次)，其次是《Bone》(n=854次)和《Journal of Bone and Mineral Research》(n=625次)。在进行中心性计算后得到《Nature Genetics》《Development》《Arthritis Rheum-US》等10本期刊的中心性大于0.1，说明这些期刊对衰老在骨质疏松研究领域发展具有支撑作用，是比较关键的核心期刊，见表6。 2.4 发文作者分析通过CiteSpace分析，1 275篇英文文献由623位作者发表，有763次的合作关系，151篇中文文献由345位作者发表，有512次的合作关系。普赖斯特定律可用于评估科学文献中作者分布的均匀性，并确定有影响力的核心作者[15]。通过使用公式W≈0.749*(wmax)1/2 (其中wmax表示最多产作者的发表论文数)，可以确定一位作者被归类为核心作者，其所需的最低发表论文数为W[16]。衰老在骨质疏松领域的英文文献wmax=22，见表7，得W≈3.51，表示发文数量为4篇及以上的作者才算核心作者。此外，这定律的另一公式K= kmax (其中kmax表示全部作者数)可以计算出核心发文的作者数K[17]，英文作者kmax=623，得出K=24.95，表明该领域有25名核心作者。对英文文献作者合作网络共现分析后，Q值为0.95，S值为0.99，表明共现的相似度较高，(Q，S)=0.97，表明聚类结果比较好，其中以Sundeep Khosla、Joshua Nicholas Joshua、苗登"

顺、Gustavo Duque等人为主的合作网络为主要核心，而苗登顺、Gustavo Duque和张扬为核心的合作网络范围最广，见图5。对中文文献的作者共现分析，得出前6个较大的合作网络，且各合作网络未见明显合作关系，可以看出国内的作者合作较少，对于多团队的合作度不足，见图6。 2.5 文献共被引分析使用CiteSpace软件对英文文献进行共被引文献分析，得出914篇共被引用文章，发生2 626次互相引用关系。表8列出了被引量最高的前10篇文献，其中有3篇是不低于被引用100次的文章，“Targeting cellular senescence prevents age-related bone loss in mice”(n=137次)被引用量最高，另外是“Identification of senescent cells in the bone micro environment”(n=118次)和“The hallmarks of aging”(n=100次)。共被引是指2篇文献共同被1篇文献引用，这篇文献为施引文献，阅读施引文献，可以进一步了解该领域的研究前沿和热点[18]。对共被引文献通过LLR算法进行聚类后发现，共被引文献共有23个集群，取前6个聚类，分别为#0-#5，排列依据聚类内文献数降序排列，分别标记为#0 cellular senescence(细胞衰老)、#1 bone microarchitecture(骨微结构)、#2 mesenchymal stem cell(间充质干细胞)、#3 mesenchymal stem cell fate(间充质干细胞命运)、#4 senscence- accelerate mouse(衰老加速小鼠)、#5 bone biology(骨生物学)。各聚类轮廓值均高于0.8(范围0.813-0.902)，表明内部结构具有良好同质性，具体特征如下： #0细胞衰老(122节点，S=0.883)表征的研究前沿聚焦于衰老细胞在年龄相关疾病中的致病机制。施引文献系统揭示了衰老相关分泌表型的分子通路，创新性提出通过senolytics(衰老细胞清除剂)和senomorphics(衰老表型调节剂)实现多病共治的干预策略[19]。#1骨微结构(90节点，S=0.876)突破传统雌激素中心理论范"

式，从衰老与氧化应激的整合视角重构骨质疏松病理机制，为开发非激素依赖的多维度治疗体系提供了理论依据[20]。#2间充质干细胞(82节点，S=0.863)的研究进展系统阐释了氧化应激与自噬调控在年龄相关性骨病中的双重作用机制，揭示了维持干细胞稳态对骨质疏松防治的关键意义[21]。#3间充质干细胞命运(78节点，S=0.880)从细胞衰老动态演变角度，阐明骨细胞SASP信号对骨质疏松的级联效应。研究突破传统“促形成-抑吸收”的治疗框架，提出衰老细胞靶向清除、SASP信号阻断、干细胞基因活化及中药多靶点干预等创新策略[22]。#4衰老加速小鼠(77节点，S=0.902)通过模式动物研究确证骨细胞衰老与骨质疏松的因果关联，重点解析抗氧化应激和自噬调节在延缓骨衰老中的分子机制[23]。 #5骨生物学(75节点，S=0.813)聚焦sirtuins蛋白家族，系统揭示其通过表观遗传调控影响骨代谢平衡的作用网络，为开发基于sirtuins激活剂的精准治疗策略提供科学依据[24]。文献共被引突现图谱中，突现文献为该时间段被热点关注的文献，随着时间推移，突现文献的不断演进，也说明该领域研究方向的不断变化，了解突现文献也就意味着理解该领域演进的历史趋势[25]。对英文文献进行共被引文献的突现分析发现，最早文献爆发被引发生在1986年，题目为“Age-related changes in bone mass in the senescence-accelerated mouse(SAM): SAM-R/3 and SAM-P/6 as new murine models for senile osteoporosis”，这篇文献也是2004年来被引时间最长的爆发突现文献，此外文献“Link age of decreased bone mass with impaired osteoblastogenesis in a murine model of accelerated senescence”的强度(13.18)最高，见图7。 2.6 关键词分析 2.6.1 关键词共现分析英文文献中关键词有518个，中文文献中关键词有194个，对出现频次前10的关键词进行了统计，其中n为频次，c为中心性，中心性大于0.1，则表明该关键词为核心关键词。在英文文献中有osteoporosis(n=256，c=0.09)、oxidative stress(n=202，c=0.05)、mesenchymal stem cells(n=172，c=0.12)等关键词；在中文文献中以骨质疏松、衰老、骨密度等关键词为主，见表9。 2.6.2 关键词聚类分析对中英文文献关键词进行聚类分析，英文文献得出Q值=0.72 > 0.7，S值=0.87 > 0.7，Q/S=0.78，说明聚类合理，见图8。聚类后选取了前6个关键词，依据关键词数量降序排列，分别是“bone loss”“samp6”“gene expression”“stromal cells”“fgf-23”和“bone metabolism”，见表10。聚类#0反映了衰老在骨质疏松症中骨质流失机制方面的研究；聚类#1反映了衰老在骨质疏松症中骨组织模型的研究；聚类#2反映了衰老在骨质疏松症中基因表达的研究；聚类#3反映了衰老在骨质疏松症中骨间充质细胞分化的研究；聚类#4反映了衰老在骨质疏松症中细胞因子对骨质疏松的影响；聚类#5反映了衰老在骨质疏松症中代谢组的研究。在中文文献中有关键词194个，前6个依次为“自噬”“生物力学”“大鼠”“成骨细胞”“抗氧化”“骨形成”聚类，见图9。 2.6.3 关键词突现分析关键词的突出显现，表明该关键词在某一年份受到大量关注，有大量关于该关键词的论文发表，随着时间推移和科学的发展，会产生每一个阶段的突现关键词，通过分析不同时间阶段的关键词，研"

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