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Keywords = EGFR-PK inhibition

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20 pages, 12784 KiB  
Article
A Network Pharmacology Study and In Vitro Evaluation of the Bioactive Compounds of Kadsura coccinea Leaf Extract for the Treatment of Type 2 Diabetes Mellitus
by Ying Wang, Shuizhu Cai, Wenzhao Wen, Yanhui Tan, Wenwen Wang, Jing Xu and Ping Xiong
Molecules 2025, 30(5), 1157; https://doi.org/10.3390/molecules30051157 - 4 Mar 2025
Viewed by 1738
Abstract
Kadsura coccinea is a traditional Chinese medicine whose roots have long been used to treat various ailments, but little is known about the efficacy of its leaves. In this study, the antidiabetic activity of K. coccinea leaf extract (KCLE) was determined, the main [...] Read more.
Kadsura coccinea is a traditional Chinese medicine whose roots have long been used to treat various ailments, but little is known about the efficacy of its leaves. In this study, the antidiabetic activity of K. coccinea leaf extract (KCLE) was determined, the main components of KCLE were identified using UPLC-TOF-MS, and network pharmacology and molecular docking were integrated to elucidate the antidiabetic mechanism of KCLE. The results showed that KCLE effectively increased the glucose consumption of IR-HepG2 cells through pyruvate kinase (PK) and hexokinase (HK), promoted glycogen synthesis, and inhibited α-glucosidase and α-amylase activities. KCLE also improves diabetes by regulating AKT1, TNF, EGFR, and GSK3β. These targets (especially AKT1 and TNF) have a high binding affinity with the main active ingredients of KCLE (rutin, luteolin, demethylwedelolactone, maritimetin, and polydatin). Pathway enrichment analysis showed that the antidiabetic effect of KCLE was closely related to the PI3K-Akt signaling pathway, MAPK signaling pathway, AGE-RAGE signaling pathway, and FoxO signaling pathway. These findings provide a theoretical basis for promoting the pharmacodynamic development of K. coccinea and its application in treating diabetes. Full article
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22 pages, 5871 KiB  
Article
Novel Pyridothienopyrimidine Derivatives: Design, Synthesis and Biological Evaluation as Antimicrobial and Anticancer Agents
by Eman M. Mohi El-Deen, Manal M. Anwar, Amina A. Abd El-Gwaad, Eman A. Karam, Mohamed K. El-Ashrey and Rafika R. Kassab
Molecules 2022, 27(3), 803; https://doi.org/10.3390/molecules27030803 - 26 Jan 2022
Cited by 15 | Viewed by 3783
Abstract
The growing risk of antimicrobial resistance besides the continuous increase in the number of cancer patients represents a great threat to global health, which requires intensified efforts to discover new bioactive compounds to use as antimicrobial and anticancer agents. Thus, a new set [...] Read more.
The growing risk of antimicrobial resistance besides the continuous increase in the number of cancer patients represents a great threat to global health, which requires intensified efforts to discover new bioactive compounds to use as antimicrobial and anticancer agents. Thus, a new set of pyridothienopyrimidine derivatives 2a,b–9a,b was synthesized via cyclization reactions of 3-amino-thieno[2,3-b]pyridine-2-carboxamides 1a,b with different reagents. All new compounds were evaluated against five bacterial and five fungal strains. Many of the target compounds showed significant antimicrobial activity. In addition, the new derivatives were further subjected to cytotoxicity evaluation against HepG-2 and MCF-7 cancer cell lines. The most potent cytotoxic candidates (3a, 4a, 5a, 6b, 8b and 9b) were examined as EGFR kinase inhibitors. Molecular docking study was also performed to explore the binding modes of these derivatives at the active site of EGFR-PK. Compounds 3a, 5a and 9b displayed broad spectrum antimicrobial activity with MIC ranges of 4–16 µg/mL and potent cytotoxic activity with IC50 ranges of 1.17–2.79 µM. In addition, they provided suppressing activity against EGFR with IC50 ranges of 7.27–17.29 nM, higher than that of erlotinib, IC50 = 27.01 nM. Full article
(This article belongs to the Special Issue Heterocyclic Compounds: Design, Synthesis, and Applications)
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17 pages, 1551 KiB  
Article
Pharmacokinetic Models to Characterize the Absorption Phase and the Influence of a Proton Pump Inhibitor on the Overall Exposure of Dacomitinib
by Ana Ruiz-Garcia, Weiwei Tan, Jerry Li, May Haughey, Joanna Masters, Jennifer Hibma and Swan Lin
Pharmaceutics 2020, 12(4), 330; https://doi.org/10.3390/pharmaceutics12040330 - 7 Apr 2020
Cited by 15 | Viewed by 4411
Abstract
Introduction: Dacomitinib is an epidermal growth factor receptor (EGFR) inhibitor approved for the treatment of metastatic non-small cell lung cancer (NSCLC) in the first line in patients with EGFR activating mutations. Dacomitinib is taken orally once daily at 45 mg with or without [...] Read more.
Introduction: Dacomitinib is an epidermal growth factor receptor (EGFR) inhibitor approved for the treatment of metastatic non-small cell lung cancer (NSCLC) in the first line in patients with EGFR activating mutations. Dacomitinib is taken orally once daily at 45 mg with or without food, until disease progression or unacceptable toxicity occurs. Oncology patients often can develop gastroesophageal reflux disease (GERD), which may require management with an acid-reducing agent. Proton pump inhibitors (PPIs), such as rabeprazole, inhibit sodium-potassium adenosine triphosphatase (H+/K+-ATPase) pumps that stimulate acid secretion in the stomach and have a prolonged pharmacodynamic effect that extends beyond 24 h post-administration. The aim of this work was to characterize the absorption of dacomitinib via modeling with a particular interest in quantifying the impact of rabeprazole on the pharmacokinetics (PK) of dacomitinib. Materials and Methods: The pooled dataset consisted of five clinical pharmacology healthy volunteer studies, which collected serial pharmacokinetic concentration-time profiles of dacomitinib. Non-linear mixed effects modeling was carried out to characterize dacomitinib pharmacokinetics in the presence and absence of the concomitant use of a PPI, rabeprazole. Several absorption models, some more empirical, and some more physiologically based, were tested: transit compartment, first-order absorption with and without lag time, and variations of combined zero- and first-order absorption kinetics models. Results: The presence of a PPI was a significant covariate affecting the extent (F) and rate (ka) of dacomitinib absorption, as previously reported in the dedicated clinical study. A transit compartment model was able to best describe the absorption phase of dacomitinib. Full article
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