Network Pharmacology and Experimental Validation-based Investigation of the Underlying Mechanism of Yi-Yi-Fu-Zi-Bai-Jiang-San of Nasopharyngeal Carcinoma DOI Creative Commons
Zhong‐Zhe Lin, Ting Huang,

Baoai Han

et al.

Journal of Cancer, Journal Year: 2025, Volume and Issue: 16(7), P. 2212 - 2232

Published: March 29, 2025

Yi-Yi-Fu-Zi-Bai-Jiang-San (YYFZBJS) is a representative traditional Chinese medicine (TCM) formula. However, its potential anti-tumor effects in nasopharyngeal carcinoma (NPC) remains unclear. This study aims to investigate the monomers of YYFZBJS and their associated targets treatment NPC. The primary active compounds corresponding were identified using TCMSP, SEA, Super-PRED databases. NPC-related target proteins retrieved from OMIM, GeneCards, TTD A protein-protein interaction network was constructed common Core genes through three algorithms CentiScape 2.2. Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) analyses then performed on these core genes. Validation conducted GSE53819 GSE13597 datasets. Finally, interactions between ingredients confirmed molecular docking, dynamics simulations, cell-based experiments. total 715 3159 screened. Among these, 143 intersection identified, which 32 selected based degree centrality, closeness betweenness centrality. GO KEGG revealed relevant biological processes pathways. Furthermore, cross-referenced with datasets, identifying PTGS2 CCND1 as valid compounds. Molecular simulations cell experiments effectiveness Acacetin-PTGS2 pathway. Acacetin main ingredient suppressed NPC by downregulating expression.

Language: Английский

Editorial: Traditional clinical symptoms and signs: how can they be used to investigate medications in the context of pharmacology? DOI Creative Commons
Kuo Gao, Michael C. Heinrich, Jing Shao

et al.

Frontiers in Pharmacology, Journal Year: 2025, Volume and Issue: 16

Published: March 31, 2025

Language: Английский

Citations

0
Integration of Flow Cytometry and Single-Cell RNA Sequencing Analysis to Explore the Fibroblast Subpopulations in Keloid that Correlate with Recurrence DOI
Ruxin Xie, Chenyu Li, Tian Zhao

et al.

Advances in Wound Care, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Objective: Fibroblasts (FBs) are the cytological basis of keloid (KD) formation. This study aimed to identify key pathogenic target cell subpopulation involved in KD recurrence. Approach: Single-cell RNA sequencing data were retrieved from public databases, revealing distinct gene expression patterns FB subpopulations. Flow cytometry (FCM) was used surface molecular phenotypes FBs that affect Simultaneously, logistic regression analysis performed assess predictive value changes percentages for clinical Results: The percentage fibroblasts significantly greater than normal tissues. Through further clustering population, we obtained four subpopulations, FB1-FB4, which FB1 increased, and functional enrichment suggested may play a role extracellular matrix collagen oversynthesis KD. In addition, CD26 (DPP4), CD117 (c-KIT), CD34 higher FB2-4 Moreover, CD26+/CD117+/CD34+ subpopulations FCM patients with recurrence increased. Regression confirmed risk factor relapse. Innovation: We demonstrated phenotypic heterogeneity influences Conclusion: identified development, can be as potential markers predict provide populations future treatment.

Language: Английский

Citations

0
Network Pharmacology and Experimental Validation-based Investigation of the Underlying Mechanism of Yi-Yi-Fu-Zi-Bai-Jiang-San of Nasopharyngeal Carcinoma DOI Creative Commons
Zhong‐Zhe Lin, Ting Huang,

Baoai Han

et al.

Journal of Cancer, Journal Year: 2025, Volume and Issue: 16(7), P. 2212 - 2232

Published: March 29, 2025

Yi-Yi-Fu-Zi-Bai-Jiang-San (YYFZBJS) is a representative traditional Chinese medicine (TCM) formula. However, its potential anti-tumor effects in nasopharyngeal carcinoma (NPC) remains unclear. This study aims to investigate the monomers of YYFZBJS and their associated targets treatment NPC. The primary active compounds corresponding were identified using TCMSP, SEA, Super-PRED databases. NPC-related target proteins retrieved from OMIM, GeneCards, TTD A protein-protein interaction network was constructed common Core genes through three algorithms CentiScape 2.2. Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) analyses then performed on these core genes. Validation conducted GSE53819 GSE13597 datasets. Finally, interactions between ingredients confirmed molecular docking, dynamics simulations, cell-based experiments. total 715 3159 screened. Among these, 143 intersection identified, which 32 selected based degree centrality, closeness betweenness centrality. GO KEGG revealed relevant biological processes pathways. Furthermore, cross-referenced with datasets, identifying PTGS2 CCND1 as valid compounds. Molecular simulations cell experiments effectiveness Acacetin-PTGS2 pathway. Acacetin main ingredient suppressed NPC by downregulating expression.

Language: Английский

Citations

0