Chinese Journal of Tissue Engineering Research ›› 2026, Vol. 30 ›› Issue (16): 4229-4239.doi: 10.12307/2026.724

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Postmenopausal osteoporosis: visualization analysis of related signaling pathways

Zou Shunyi1, Yi Jin2, Zeng Hao1, Li Jianqi1, Wu Zhongping1   

  1. 1Guangxi University of Chinese Medicine, Nanning 530001, Guangxi Zhuang Autonomous Region, China; 2Department of Spinal Surgery, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning 530011, Guangxi Zhuang Autonomous Region, China
  • Received:2025-06-06 Accepted:2025-08-21 Online:2026-06-08 Published:2025-11-29
  • Contact: Yi Jin, MS, Attending physician, Lecturer, Department of Spinal Surgery, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning 530011, Guangxi Zhuang Autonomous Region, China
  • About author:Zou Shunyi, MS candidate, Guangxi University of Chinese Medicine, Nanning 530001, Guangxi Zhuang Autonomous Region, China
  • Supported by:
    Guangxi Famous Traditional Chinese Medicine Inheritance Studio Construction Project, No. (2024)30 (to YJ [project participant]); Guangxi University of Chinese Medicine Student Innovation Training Program, No. 202310600040 (to WZP)

Abstract: BACKGROUND: Signaling pathways are important factors affecting bone metabolic stability and play an indispensable role in the onset and progression of postmenopausal osteoporosis.
OBJECTIVE: To perform a visual analysis of literature published over the past 20 years on signaling pathways related to postmenopausal osteoporosis and to explore the current state of development and research hotspots in this field.
METHODS: We retrieved the Web of Science Core Collection database for English-language literature on signaling pathways related to postmenopausal osteoporosis. The search period was from January 1, 2004 to October 20, 2024. Utilizing CiteSpace 6.3.R1 and R4.4.1 software, we conducted comprehensive statistical analyses of authors, countries, institutions, journals, cited references, and keywords, subsequently generating corresponding visualization maps.
RESULTS AND CONCLUSION: According to the inclusion and exclusion criteria, 853 articles were selected for analysis. The author with the highest number of publications was Xu Jiake, while China emerged as the leading country in publication output. Shanghai Jiao Tong University ranked as the institution with the highest number of publications. Among journals, Frontiers in Pharmacology demonstrated the highest publication volume, whereas Journal of Bone and Mineral Research received the most citations. Knowledge exchange occurred across molecular science, biology, genetics, and immunology disciplines. In recent years, “fracture prevention” and “bone resorption” become relatively stable research directions, while “network pharmacology” and “model” emerges as prominent keywords. Over the past two decades, publications on signaling pathways related to postmenopausal osteoporosis have shown an overall upward trend in the number of publications, reflecting increasing interdisciplinary integration. Among the top 10 most co-cited references, 5 studies validated the safety and efficacy of sclerostin monoclonal antibody through different approaches; 4 reviews summarized the diagnosis and treatment of osteoporosis or postmenopausal osteoporosis; and 1 study explored the role and mechanism of the Wnt signaling pathway in bone homeostasis and related diseases. Research hotspots in this field focus on elucidating signaling pathway mechanisms, particularly their associated cytokines and gene expression patterns in complex biological processes. Currently, the most prominent pathways under investigation include nuclear factor kappa B, phosphatase and tensin homolog, and nuclear factor of activated T-cells, cytoplasmic 1 pathways. In terms of treatments, the development of drugs targeting signaling pathway represents a promising direction for future treatment of postmenopausal osteoporosis, with traditional Chinese medicine applications gaining notable attention. Moreover, the combination of network pharmacology and animal models has emerged as a popular research approach in recent years.

Key words: postmenopausal osteoporosis, signaling pathway, visual analysis, bibliometrics, nuclear factor kappa B, herbal medicine

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