ARCHIV DER PHARMAZIE
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2024
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IF 4.3
Jiahong Su,Xingyue Wang,Sha Li,Xu Wu,Mingxing Li,Fukuan Du,Shuai Deng,Jing Shen,Yueshui Zhao,Zhangang Xiao,Yu Chen
Glycyrrhetinic acid (GA) is a naturally occurring triterpene compound. The aim of this study was to employ the pharmacophore hybrid strategy to merge GA with various dithiocarbamates and obtain novel compounds with better antitumor activities. We present a two-step synthetic protocol wherein the GA derivative underwent reaction with carbon disulfide and various secondary amines in a one-pot manner under mild conditions, facilitating the preparation of a series of structurally novel GA-dithiocarbamate derivatives. Bioassay screening revealed that the representative compound 3c demonstrated the capacity to reduce the mitochondrial membrane potential in Hep3B and Huh-7 cells, induce nuclear apoptosis, inhibit invasion and migration, and prompt both early and late apoptosis. Furthermore, our research findings indicated that this apoptotic phenomenon may be associated with the expression of Bcl-2, Bax, Bak, PARP, and cleaved-PARP proteins. Utilizing network pharmacology for predicting core targets and signaling pathways of compound 3c for hepatocellular carcinoma (HCC) treatment involved employing molecular docking models to demonstrate high affinity between compound and target protein. In conjunction with Western blot analysis, compound 3c may impact HCC through the PI3K-AKT-mTOR pathway.
研究领域:
药理学
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肿瘤学
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药物化学
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细胞生物学
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DOI
PubMed
高影响因子
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS
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2024
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IF 2.5
Shuangliu Chen,Yalan Pan,Yang Guo,Xiaoxian Sun,Xue Bai,Mengmin Liu,Lining Wang,Jiřimutu Xiao,Cheng Chen,Yong Ma
This study utilized bioinformatics and data mining techniques to explore the molecular mechanism of curcumin in treating osteoporosis (OP) through the lens of ferroptosis, thereby identifying novel therapeutic targets. The datasets GSE35958, GSE35956, GSE7429, and GSE7158 were obtained from the Gene Expression Omnibus (GEO) database. GSE35958 and GSE35956 were employed as training sets for data integration, while GSE7429 and GSE7158 served as independent validation sets. Through retrieval from the FerrDb database, iron death-related genes (FRGs) were identified, and the differentially expressed genes (DEGs) were intersected to obtain differentially expressed FRGs (DEFRGs). Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted, followed by the construction of a Protein-Protein Interaction (PPI) network to identify Hub genes. The DGIdb database was utilized to predict candidate drugs associated with the Hub genes, and molecular docking and in vitro experiments confirmed that curcumin targets the Hub genes EGFR and PTGS2.Through in vitro testing of curcumin on BMSC cells, researchers examined cell vitality, iron death, osteogenic differentiation, mineralization, and the impact on EGFR and PTGS2 levels. The analysis yielded 2212 DEGs, 484 FRGs, with 45 FDEGs at the intersection. GO analysis revealed involvement in regulating mitochondrial proteins, amino acid transport across plasma membranes, and protein ubiquitination. KEGG pathway analysis indicated associations with iron death, FoxO signaling, mTOR signaling, cell aging, osteoclast differentiation, and GSH metabolism. Utilizing the MCC algorithm, five Hub genes were identified: MAPK3, PTGS2, TGFB1, CYBB, and EGFR, showing diagnostic potential for iron death. Curcumin displayed affinity for EGFR and PTGS2, mitigating iron-induced effects on BMSCs such as increased reactive oxygen species, Fe3+ levels, and decreased mitochondrial membrane potential. Furthermore, curcumin reversed these effects, suggesting EGFR and PTGS2 as targets for curcumin to inhibit BMSC ferroptosis and potentially delay osteoporosis development. Maintaining iron homeostasis and targeting BMSC ferroptosis could offer therapeutic avenues for iron overload-induced osteoporosis.
研究领域:
生物信息学
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药理学
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分子生物学
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医学遗传学
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DOI
PubMed
高影响因子
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