Ligusticum chuanxiong Hort. Targets hsa-miR-10a-5p to Potentially Induce Apoptosis and Modulate Lipid Metabolism in Glioblastoma: A Natural-Product-Based Therapeutic Strategy
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| Publicado en: | Pharmaceuticals vol. 18, no. 10 (2025), p. 1553-1579 |
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| Otros Autores: | , , , , , , , , , , |
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MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 024 | 7 | |a 10.3390/ph18101553 |2 doi | |
| 035 | |a 3265930820 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231548 |2 nlm | ||
| 100 | 1 | |a Xiao-Xuan, Cai |u Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; xiaoxuancai@link.cuhk.edu.cn (X.-X.C.); zuohuali@cuhk.edu.cn (H.-L.Z.); lijing0903@cuhk.edu.cn (J.L.); huanghsiyuan@cuhk.edu.cn (H.-Y.H.); liliping@cuhk.edu.cn (L.-P.L.); jennyni@cuhk.edu.cn (J.N.); yueyangxie@link.cuhk.edu.cn (Y.-Y.X.) | |
| 245 | 1 | |a <i>Ligusticum chuanxiong</i> Hort. Targets hsa-miR-10a-5p to Potentially Induce Apoptosis and Modulate Lipid Metabolism in Glioblastoma: A Natural-Product-Based Therapeutic Strategy | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Background/Objectives: Glioblastoma (GBM), the most aggressive primary malignant brain tumor, has a dismal prognosis and limited treatment options. The dried rhizome of Ligusticum chuanxiong Hort. (Chuanxiong, CX) is a traditional Chinese medicinal herb frequently prescribed in formulas intended to invigorate blood circulation. CX also exhibits anti-glioma activity, but its molecular mechanisms remain incompletely understood. Methods: In this study, we combined transcriptomics and Raman spectroscopy to investigate the effects of reconstituted CX-dispensing granules (hereafter referred to as CXG solution) on U87MG cells, suggesting their dual role in promoting cell death and modulating collagen deposition and lipid metabolism. Results: Mechanistically, we demonstrated that the CXG solution downregulates hsa-miR-10a-5p, which directly targets BCL2L11, known to induce pro-apoptotic effects, as validated by qPCR and dual-luciferase reporter assays. Furthermore, the CXG solution and hsa-miR-10a-5p suppress lipid metabolism through a coherent feed-forward loop via targeting transcription factors SREBF1 and E2F1. An electrophoretic mobility shift assay (EMSA) confirmed E2F1 binds to the hsa-miR-29a promoter, leading to the synergistic repression of hsa-miR-29a-3p by SREBF1 and E2F1. Network pharmacology analysis combined with molecular docking suggested that the ferulic acid and adenosine in CX potentially modulate EGFR-the E2F1-hsa-miR-10a-5p axis. Conclusions: These findings elucidate CX’s multi-target anti-GBM mechanisms and propose a novel therapeutic strategy combining metabolic intervention with miRNA-targeted therapy, providing novel insights into feed-forward loop regulation in miRNA networks. | |
| 653 | |a Medical prognosis | ||
| 653 | |a Metastasis | ||
| 653 | |a Collagen | ||
| 653 | |a Spectrum analysis | ||
| 653 | |a Glioma | ||
| 653 | |a Traditional Chinese medicine | ||
| 653 | |a Extracellular matrix | ||
| 653 | |a MicroRNAs | ||
| 653 | |a Metabolism | ||
| 653 | |a Lipids | ||
| 653 | |a Genes | ||
| 653 | |a Apoptosis | ||
| 653 | |a Cell growth | ||
| 653 | |a Metabolites | ||
| 653 | |a Morphology | ||
| 653 | |a Survival analysis | ||
| 653 | |a Chemotherapy | ||
| 653 | |a Drug dosages | ||
| 700 | 1 | |a Hua-Li, Zuo |u Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; xiaoxuancai@link.cuhk.edu.cn (X.-X.C.); zuohuali@cuhk.edu.cn (H.-L.Z.); lijing0903@cuhk.edu.cn (J.L.); huanghsiyuan@cuhk.edu.cn (H.-Y.H.); liliping@cuhk.edu.cn (L.-P.L.); jennyni@cuhk.edu.cn (J.N.); yueyangxie@link.cuhk.edu.cn (Y.-Y.X.) | |
| 700 | 1 | |a Li, Jing |u Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; xiaoxuancai@link.cuhk.edu.cn (X.-X.C.); zuohuali@cuhk.edu.cn (H.-L.Z.); lijing0903@cuhk.edu.cn (J.L.); huanghsiyuan@cuhk.edu.cn (H.-Y.H.); liliping@cuhk.edu.cn (L.-P.L.); jennyni@cuhk.edu.cn (J.N.); yueyangxie@link.cuhk.edu.cn (Y.-Y.X.) | |
| 700 | 1 | |a Hsi-Yuan, Huang |u Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; xiaoxuancai@link.cuhk.edu.cn (X.-X.C.); zuohuali@cuhk.edu.cn (H.-L.Z.); lijing0903@cuhk.edu.cn (J.L.); huanghsiyuan@cuhk.edu.cn (H.-Y.H.); liliping@cuhk.edu.cn (L.-P.L.); jennyni@cuhk.edu.cn (J.N.); yueyangxie@link.cuhk.edu.cn (Y.-Y.X.) | |
| 700 | 1 | |a Li-Ping, Li |u Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; xiaoxuancai@link.cuhk.edu.cn (X.-X.C.); zuohuali@cuhk.edu.cn (H.-L.Z.); lijing0903@cuhk.edu.cn (J.L.); huanghsiyuan@cuhk.edu.cn (H.-Y.H.); liliping@cuhk.edu.cn (L.-P.L.); jennyni@cuhk.edu.cn (J.N.); yueyangxie@link.cuhk.edu.cn (Y.-Y.X.) | |
| 700 | 1 | |a Ni Jie |u Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; xiaoxuancai@link.cuhk.edu.cn (X.-X.C.); zuohuali@cuhk.edu.cn (H.-L.Z.); lijing0903@cuhk.edu.cn (J.L.); huanghsiyuan@cuhk.edu.cn (H.-Y.H.); liliping@cuhk.edu.cn (L.-P.L.); jennyni@cuhk.edu.cn (J.N.); yueyangxie@link.cuhk.edu.cn (Y.-Y.X.) | |
| 700 | 1 | |a Pei-Sen, Wu |u School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; peisenwu@link.cuhk.edu.cn (P.-S.W.); xiaoyuanxu@link.cuhk.edu.cn (X.-Y.X.) | |
| 700 | 1 | |a Xiao-Yuan, Xu |u School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; peisenwu@link.cuhk.edu.cn (P.-S.W.); xiaoyuanxu@link.cuhk.edu.cn (X.-Y.X.) | |
| 700 | 1 | |a Zhang, Dan |u Longgang Central Hospital of Shenzhen, Shenzhen 518116, China; 13762470784@163.com | |
| 700 | 1 | |a Yue-Yang, Xie |u Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; xiaoxuancai@link.cuhk.edu.cn (X.-X.C.); zuohuali@cuhk.edu.cn (H.-L.Z.); lijing0903@cuhk.edu.cn (J.L.); huanghsiyuan@cuhk.edu.cn (H.-Y.H.); liliping@cuhk.edu.cn (L.-P.L.); jennyni@cuhk.edu.cn (J.N.); yueyangxie@link.cuhk.edu.cn (Y.-Y.X.) | |
| 700 | 1 | |a Huang Hsien-Da |u Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; xiaoxuancai@link.cuhk.edu.cn (X.-X.C.); zuohuali@cuhk.edu.cn (H.-L.Z.); lijing0903@cuhk.edu.cn (J.L.); huanghsiyuan@cuhk.edu.cn (H.-Y.H.); liliping@cuhk.edu.cn (L.-P.L.); jennyni@cuhk.edu.cn (J.N.); yueyangxie@link.cuhk.edu.cn (Y.-Y.X.) | |
| 700 | 1 | |a Yang-Chi-Dung, Lin |u Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; xiaoxuancai@link.cuhk.edu.cn (X.-X.C.); zuohuali@cuhk.edu.cn (H.-L.Z.); lijing0903@cuhk.edu.cn (J.L.); huanghsiyuan@cuhk.edu.cn (H.-Y.H.); liliping@cuhk.edu.cn (L.-P.L.); jennyni@cuhk.edu.cn (J.N.); yueyangxie@link.cuhk.edu.cn (Y.-Y.X.) | |
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