There is a constant need for new therapies against multidrug resistant (MDR) cancer. An attractive strategy is to develop chelators that display significant antitumor activity in multidrug resistant cancer cell lines overexpressing the drug efflux pump P-glycoprotein. In this study we used a panel of sensitive and MDR cancer cell lines to evaluate the toxicity of picolinylidene and salicylidene thiosemicarbazone, arylhydrazone, as well as picolinylidene and salicylidene hydrazino-benzothiazole derivatives. Our results confirm the collateral sensitivity of MDR cells to isatin-β-thiosemicarbazones, and identify several chelator scaffolds with a potential to overcome multidrug resistance. Analysis of structure-activity-relationships within the investigated compound library indicates that NNS and NNN donor chelators show superior toxicity as compared to ONS derivatives regardless of the resistance status of the cells.
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http://dx.doi.org/10.1016/j.ejmech.2016.03.078 | DOI Listing |
Biomark Res
January 2025
BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, Department of Biomedical Sciences, School of Medicine, Kyungpook National University, Daegu, 41944, Korea.
Macrophages are pivotal in the body's defense and response to inflammation. They are present in significant numbers and are widely implicated in various diseases, including cancer. While molecular and histological techniques have advanced our understanding of macrophage biology, their precise function within the cancerous microenvironments remains underexplored.
View Article and Find Full Text PDFInt J Legal Med
January 2025
Department of Forensic Medicine, Monash University, Victoria, Australia.
Mortality data systems are upstream determinants of health, providing critical information on causes of death and population health trends and influencing health outcomes by shaping policies, research, and resource allocation. Moreover, the gender-related deaths of women and girls are significantly underrepresented or underrecognized in mortality data across many countries. This paper seeks to identify potential barriers and facilitators to improving the representation of femicide data.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Division of Pharmaceutics and Pharmacokinetics, CSIR-Central Drug Research Institute, Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India. Electronic address:
Intratumoral drug delivery systems hold immense promise in overcoming the limitations of conventional IV chemotherapy, particularly in enhancing therapeutic efficacy and minimizing systemic side effects. In this study, we introduce a novel redox-responsive intratumoral nanogel system that combines the biocompatibility of natural polysaccharides with the tailored properties of synthetic polymers. The nanogel features a unique cross-linked architecture incorporating redox-sensitive segments, designed to leverage the elevated glutathione levels in the tumor microenvironment for controlled drug release.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Qiqihar Medical University, Heilongjiang, Qiqihar 161006, China. Electronic address:
The clinical application of curcumin (CUR) is restricted by its low solubility, instability, and poor bioavailability. To overcome these limitations, we developed a novel stearic acid-grafted inulin-based nano-delivery system for CUR encapsulation. The structure of stearoyl inulin (SA-IN) was characterized using Fourier-transform infrared spectroscopy, hydrogen nuclear magnetic resonance, thermogravimetric analysis, and contact angle measurements.
View Article and Find Full Text PDFEnviron Toxicol Chem
January 2025
School of Environmental Engineering, University of Seoul, Seoul, Korea.
An adverse outcome pathway (AOP) framework maps the sequence of events leading to adverse outcomes from chemical exposures, providing a mechanistic understanding often absent in traditional methods. The quantitative AOP (qAOP) advances AOP by integrating quantitative data and mathematical modeling, thereby providing a more precise comprehension of relationships between molecular initiating events, key events, and adverse outcomes. This review critically examines three primary methodologies: systems toxicology, regression modeling, and Bayesian network modeling, highlighting their strengths, limitations, and specific data requirements within toxicology.
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