# Molecular mechanisms of deer antler in promoting osteogenic differentiation of human mesenchymal stem cells via JUN modulation

**Authors:** Chengcheng Yu, Yinan Wu, Hanxu Huang, Xiumao Li, Jingkai Wang, Chao Liu, Yuanqing Shen, Donghua Huang, Ruofu Tang, Zhan Wang, Lifeng Jiang, Fangcai Li

PMC · DOI: 10.3389/fimmu.2025.1550249 · Frontiers in Immunology · 2025-05-29

## TL;DR

This study explores how deer antler promotes bone cell development in human stem cells by targeting the JUN gene and immune cells.

## Contribution

The study identifies JUN as a key gene modulated by deer antler compounds in bone regeneration.

## Key findings

- Deer antler contains 62 bioactive compounds linked to 1051 potential targets for bone development.
- JUN is a core gene significantly downregulated during osteogenic differentiation with high diagnostic accuracy.
- Retinol and Progesterone from deer antler show strong binding to JUN, suggesting therapeutic potential.

## Abstract

Traditional Chinese medicine and food deer antler has been extensively used in bone regeneration, but its molecular mechanisms remain poorly understood. Preliminary investigations suggest deer antler contains bioactive compounds that influence osteogenic differentiation and immune microenvironments.

To elucidate the molecular mechanisms of deer antler in promoting human mesenchymal stem cell (hMSC) osteogenic differentiation, focusing on JUN downregulation and immune microenvironment modulation using bioinformatics and molecular docking approaches.

Chemical components and targets were identified using the BATMAN-TCM database. Differentially expressed genes (DEGs) related to osteogenic differentiation were analyzed using Gene Expression Omnibus datasets. Gene Ontology (GO), KEGG enrichment, LASSO regression, and SVM-RFE were applied to identify key genes. A Protein-Protein Interaction (PPI) network was constructed to determine core genes. JUN expression was validated using independent datasets and ROC analysis. Immune cell infiltration was analyzed using CIBERSORT, examining JUN’s correlation with immune cells. Molecular docking explored JUN’s interaction with two active deer antler compounds.

The study identified 62 bioactive compounds and 1051 potential targets. DEGs analysis revealed 282 genes associated with osteogenic differentiation. Cross-analysis identified 43 overlapping genes, enriched in “response to mechanical stimulus” and “rheumatoid arthritis” pathways. Machine learning approaches highlighted 7 critical genes, with JUN emerging as the core gene. JUN levels were significantly decreased during osteogenic differentiation, showing high diagnostic accuracy (AUCs: 0.977-1.000). Immune cell analysis revealed JUN correlations with neutrophils, monocytes, eosinophils, M2 macrophages, and resting CD4+ T cells. Molecular docking confirmed strong binding affinities of JUN with Retinol (-8.1 kcal/mol) and Progesterone (-6.0 kcal/mol).

The study provides a comprehensive molecular framework demonstrating JUN as a key molecule in hMSC osteogenic differentiation. Deer antler’s bioactive compounds, particularly Retinol and Progesterone, potentially exert therapeutic effects through targeted JUN modulation, offering novel insights into natural compound-mediated bone regenerative mechanisms.

## Linked entities

- **Genes:** JUN (Jun proto-oncogene, AP-1 transcription factor subunit) [NCBI Gene 3725]
- **Chemicals:** Retinol (PubChem CID 3840), Progesterone (PubChem CID 5994)
- **Diseases:** rheumatoid arthritis (MONDO:0008383)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Genes:** JUN (Jun proto-oncogene, AP-1 transcription factor subunit) [NCBI Gene 3725] {aka AP-1, AP1, c-Jun, cJUN, p39}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}
- **Diseases:** rheumatoid arthritis (MESH:D001172)
- **Chemicals:** Deer antler (-), Retinol (MESH:D014801), Progesterone (MESH:D011374)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12158746/full.md

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12158746/full.md

## References

53 references — full list in the complete paper: https://tomesphere.com/paper/PMC12158746/full.md

---
Source: https://tomesphere.com/paper/PMC12158746