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The Comparative Effect of Morphine on Proliferation of Cancer Cell Lines Originating from Different Organs: An In Vitro Study.
Pharmaceuticals (Basel)
December 2024
School of Pharmacy, University of Queensland, Brisbane 4072, Australia.
: Opium consumption was recently classified by the International Agency for Research on Cancer (IARC) monograph as carcinogenic to humans based on strong evidence for cancers of the larynx, lung, and urinary bladder, and limited evidence for cancers of the oesophagus, stomach, pancreas, and pharynx. This poses the question of a potential pro-cancer effect of pharmaceutical opioid analgesics. In vitro studies employing a variety of experimental conditions suggest that opioid alkaloids have proliferative or antiproliferative effects.
View Article and Find Full Text PDFPotential Synergy of Fluoxetine and Antibacterial Agents Against Skin and Soft Tissue Pathogens and Drug-Resistant Organisms.
Antibiotics (Basel)
December 2024
Department of Clinical and Administrative Sciences, California Northstate University College of Pharmacy, Elk Grove, CA 95757, USA.
The feasibility of repurposing selective serotonin reuptake inhibitors as adjunctive antibacterial agents is an area of current investigation. We sought to evaluate if fluoxetine will achieve synergistic killing with relevant antibacterial drugs against skin and soft tissue pathogens and multidrug-resistant pathogens. : The MIC of fluoxetine was determined using broth microdilution for a diverse isolate collection of 21 organisms.
View Article and Find Full Text PDFMulti-generational exposure of Daphnia magna to pharmaceuticals: Effects on colonization, reproduction, and habitat selection behavior.
Ecotoxicol Environ Saf
January 2025
Department of Ecology and Coastal Management, Institute of Marine Sciences of Andalusia (ICMAN - CSIC), Puerto Real 11519, Spain. Electronic address:
The presence of pharmaceuticals in the aquatic environment is increasing due to their growing use for human health. Although most studies are based on short exposures to these contaminants, the present study has emerged from the need to study pharmaceuticals in aquatic organisms over a long-term exposure to understand any multi-generational chronic effects and alterations regarding habitat selection. Therefore, this study shows: (1) the ability of Daphnia magna to colonize environments contaminated with caffeine, ibuprofen and fluoxetine, and (2) the effect of these pharmaceuticals on reproduction and habitat selection (under two scenarios: with and without food) after a long-term exposure period of three generations.
View Article and Find Full Text PDFLigand docking in the sigma-1 receptor compared to the sigma-1 receptor-BiP complex and the effects of agonists and antagonists on C. elegans lifespans.
Biomed Pharmacother
December 2024
Center of Excellence on Natural Products for Neuroprotection and Anti-Ageing, Chulalongkorn University, Bangkok 10330, Thailand; Research, Innovation and International Affairs, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand. Electronic address:
Model organisms are commonly used to study human diseases; we set out to understand the relevance of several model organisms with relation to the σ1R protein. The study explored the interactions of σ1R with various agonists, antagonists across different species. Ligand and protein-protein (σ1R-BiP) docking approaches were used to understand the significance of σ1R in modulating neuroprotective mechanisms and its potential role in Alzheimer's.
View Article and Find Full Text PDFTAC-UNet: transformer-assisted convolutional neural network for medical image segmentation.
Quant Imaging Med Surg
December 2024
The College of Computer and Information Science, Southwest University, Chongqing, China.
Background: Medical image segmentation is crucial for improving healthcare outcomes. Convolutional neural networks (CNNs) have been widely applied in medical image analysis; however, their inherent inductive biases limit their ability to capture global contextual information. Vision transformer (ViT) architectures address this limitation by leveraging attention mechanisms to model global relationships; however, they typically require large-scale datasets for effective training, which is challenging in the field of medical imaging due to limited data availability.
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