ORIGINAL RESEARCH article
Front. Immunol.
Sec. Molecular Innate Immunity
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1679987
This article is part of the Research TopicDevelopment of Diagnostic and Therapeutic Biomarkers for Tumors and Inflammation Based on Multi-omics Approaches Including Transcriptomics, Proteomics, and MetabolomicsView all 11 articles
Deciphering oligomeric proanthocyanidins' dual osteoprotective mechanisms at single-cell resolution: NR4A1-mediated PTGS2 suppression and β-catenin-Runx2 activation
Provisionally accepted- 1The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China
- 2College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
- 3Department of Orthopedics, Jiangmen Hospital of Traditional Chinese Medicine Affiliated to Jinan University, Jiangmen, China
- 4Department of Orthopaedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, China
- 5Department of Endocrinology, the First Affiliated Hospital of Anhui Medical University, Anhui, China
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Background: Osteoporosis (OP), as a systemic bone disorder, has a complex pathogenesis and faces significant challenges in clinical treatment. Oligomeric proanthocyanidin (OPC), as a type of natural polyphenolic flavonoid compound, demonstrate outstanding therapeutic potential due to their excellent antioxidant, anti-inflammatory properties and good safety. The breakthrough advances in single-cell RNA sequencing (scRNA-seq) technology have provided a powerful research tool for elucidating the multi-target mechanisms of OPC in the treatment of OP. Methods: This study first screened the active components of OPC leveraging the TCMSP database. The protein-protein interaction network of OPC target proteins was generated through the STRING database, and visual analysis was accomplished using Cytoscape software. The ClusterProfiler R package and ClueGO plugin were employed for functional enrichment analysis and network visualization. At the same time, scRNA-seq data from the GEO database was integrated, and cell type identification was attained by the tool of Seurat. The differentiation trajectories of subtypes were inferred using Monocle and Slingshot software. The cell communication network was analyzed using CellChat. Results: This study utilized scRNA-seq to identify C2 NR4A1+ MSCs with distinct metabolic features and differentiation potential in the bone microenvironment during the early stage of OP, namely osteopenia. The natural component OPC can precisely target this subtype and exert therapeutic effects through two mechanisms: inhibiting the transcriptional activity of NR4A1 to suppress the expression of PTGS2 in MSCs, and simultaneously activating the β-catenin-dependent NR4A1-Runx2 signaling axis to promote osteogenesis and inhibit osteoclastogenesis. These findings establish a new therapeutic paradigm of "targeting cell subtypes-multi-pathway regulation", providing important basis for the development of novel anti-OP drugs. Conclusion: Our research integrated multi-level approaches including single-cell transcriptomics, network pharmacology, cellular experiments and animal models to systematically reveal the dual mechanism of OPC in treating OP. This discovery not only established C2 NR4A1+ MSCs as key mediators in the pathological process of OP, but also clarified the molecular mechanism of multi-target synergy of natural active compounds in restoring bone homeostasis, providing theoretical basis and practical guidance for the development of new OP therapies.
Keywords: Osteoporosis, Oligomeric proanthocyanidin, PTGS2, Nr4a1, ScRNA-seq
Received: 05 Aug 2025; Accepted: 15 Oct 2025.
Copyright: © 2025 Huang, Sun, Zheng, Qiu, Zheng, Sun, Chen, Zheng and Zeng. 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: Yuwei Sun, sunyuwei2023@163.com
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