Exploring the Mechanisms of Sanguinarine in the Treatment of Osteoporosis by Integrating Network Pharmacology Analysis and Deep Learning Technology
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Le résumé fourni par la source
BACKGROUND: Sanguinarine (SAN) has been reported to have antioxidant, antiinflammatory, and antimicrobial activities with potential for the treatment of osteoporosis (OP). OBJECTIVE: This work purposed to unravel the molecular mechanisms of SAN in the treatment of OP. METHODS: OP-related genes and SAN-related targets were predicted from public databases. Differential expression analysis and VennDiagram were adopted to detect SAN-related targets against OP. Protein-protein interaction (PPI) network was served for core target identification. Molecular docking and DeepPurpose algorithm were further adopted to investigate the binding ability between core targets and SAN. Gene pathway scoring of these targets was calculated utilizing gene set variation analysis (GSVA). Finally, we explored the effect of SAN on the expressions of core targets in preosteoblastic MC3T3-E1 cells. RESULTS: A total of 21 candidate targets of SAN against OP were acquired. Furthermore, six core targets were identified, among which CASP3, CTNNB1, and ERBB2 were remarkably differentially expressed in OP and healthy individuals. The binding energies of SAN with CASP3, CTNNB1, and ERBB2 were -6, -6.731, and -7.162 kcal/mol, respectively. Moreover, the GSVA scores of the Wnt/calcium signaling pathway were significantly lower in OP cases than in healthy individuals. In addition, the expression of CASP3 was positively associated with Wnt/calcium signaling pathway. CASP3 and ERBB2 were significantly lower expressed in SAN group than in DMSO group, whereas the expression of CTNNB1 was in contrast. CONCLUSION: CASP3, CTNNB1, and ERBB2 emerge as potential targets of SAN in OP prevention and treatment.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Exploring the Mechanisms of Sanguinarine in the Treatment of Osteoporosis by Integrating Network Pharmacology Analysis and Deep Learning Technology
- Date Crossref
- 01/02/2025
- Éditeur
- Bentham Science Publishers Ltd.
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Zhuhai People's Hospital pays non établi dans la noticeÉtablissement de santé
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Jining Traditional Chinese Medicine Hospital pays non établi dans la noticeÉtablissement de santé
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Guangzhou University of Chinese Medicine pays non établi dans la noticeUniversité ou école supérieure
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Zhejiang Chinese Medical University pays non établi dans la noticeUniversité ou école supérieure
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Tongde Hospital of Zhejiang Province Department of Orthopedics pays non établi dans la noticeÉtablissement de santé
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The Sixth People’s Hospital of Zhuji Department of Orthopedics pays non établi dans la noticeÉtablissement de santé
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Pan’an Hospital of Traditional Chinese Medicine Department of Orthopedics pays non établi dans la noticeÉtablissement de santé
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The First Clinical Medical College pays non établi dans la noticeUniversité ou école supérieure
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The Second Clinical Medical College pays non établi dans la noticeUniversité ou école supérieure
Zhuhai People's Hospital, Jining Traditional Chinese Medicine Hospital et Guangzhou University of Chinese Medicine, avec 6 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.