Ruthenium(II)-mercapto complexes induce cell damage via apoptosis pathway on ovarian cancer cells.

Ovarian cancer represents a leading cause of cancer-related deaths in women worldwide. Chemotherapeutic agents are usually employed to treat the patients, and Ruthenium(II)-based compounds have been investigated as possible substitutes for platinum drugs. In this work, we studied three different Ru(II)-phosphine-mercapto complexes (1-3) as potential cytotoxic agents against A2780 and A2780-cisR ovarian cancer cells.

Exploring the BSA- and DNA-binding, cytotoxicity, and cell cycle evaluation of ternary copper(II)/diimine complexes with ,-dibenzyl-'-benzoylthiourea as promising metallodrug candidates.

Four new copper(II) complexes were synthesized and characterized with the general formula [Cu(N-N)(Th)(NO)], where N-N corresponds to the N-heterocyclic ligands 1,10-phenanthroline (phen), 2,2'-bipyridine (bipy), 4,7-diphenyl-1,10-phenanthroline (dpp), and 4,4-dimethyl-2,2'-bipyridine (dmbp) and Th represents the ,-dibenzyl-'-benzoylthiourea. Cytotoxic activities of the complexes against HCT116 (human colon carcinoma), HepG2 (human hepatocellular carcinoma), and non-tumor MRC-5 (human lung fibroblast) cells were investigated. The copper(II) complexes 1-4 were characterized by spectroscopic techniques while complexes 1 and 2 were studied using single-crystal X-ray diffraction as well.

Cytotoxic Potential of the Monoterpene Isoespintanol against Human Tumor Cell Lines.

Cancer is a disease that encompasses multiple and different malignant conditions and is among the leading causes of death in the world. Therefore, the search for new pharmacotherapeutic options and potential candidates that can be used as treatments or adjuvants to control this disease is urgent. Natural products, especially those obtained from plants, have played an important role as a source of specialized metabolites with recognized pharmacological properties against cancer, therefore, they are an excellent alternative to be used.

Efficacy of automated insulin delivery in pregnant women with type 1 diabetes: a meta-analysis and trial sequential analysis of randomized controlled trials.

Background: Automated insulin delivery (AID) devices have shown to be a promising treatment to improve glycemic control in patients with type 1 diabetes mellitus (T1DM). However, its efficacy in pregnant women with T1DM remains uncertain.

Methods: PubMed, Scopus, Cochrane Central and ClinicalTrials.

Food Consumption of People with Sickle Cell Anemia in a Middle-Income Country.

Sickle cell anemia (SCA) is a genetic and hemolytic disease globally characterized by social vulnerability. Food consumption has been insufficiently analyzed in SCA. Secondary iron overload is often observed.

Cancer care in the COVID-19 era and psychosocial impacts on oncology nursing in Brazil.

Introduction: Globally, Brazil has the third highest number of confirmed COVID-19 cases and the second highest number of deaths related to COVID-19 at the time of writing. Maintaining cancer care has been a challenge for patient safety and for the physical and mental health of oncology nurses.

Objectives: To describe which effects of the COVID-19 pandemic on cancer care could already be evaluated and to identify the psychosocial impact on cancer nurses in Brazil.

Oncology nursing workforce: challenges, solutions, and future strategies.

The global oncology nursing workforce is essential to achieving Sustainable Development Goals 3.4 (reduce non-communicable disease morbidity by a third by 2030) and 3.8 (universal health coverage).

Determination of eccentric deposition thickness on offshore horizontal pipes by gamma-ray densitometry and artificial intelligence technique.

The extraction of oil is accompanied by water and sediments that, mixed with the oil, cause the formation of scale depositions in the pipelines walls promoting the reduction of the inner diameter of the pipes, making it difficult for the fluids to pass through interest. In this sense, there is a need to control the formation of these depositions to evaluate preventive and corrective measures regarding the waste management of these materials, as well as the optimization of oil extraction and transport processes. Noninvasive techniques such as gamma transmission and scattering can support the determination of the thickness of these deposits in pipes.

A new application of radioactive particle tracking using MCNPX code and artificial neural network.

Stirrers and mixers are highly used in chemical, food, pharmaceutical, cosmetic, concrete industries and others. During the fabrication process, the equipment may fail to appropriately stir or mix the solution. Besides that, it is also important to determine when the right homogeneity of the mixture is attained.

Inorganic scale thickness prediction in oil pipelines by gamma-ray attenuation and artificial neural network.

Scale can be defined as chemical compounds that are inorganic, initially insoluble, and precipitate accumulating on the internal walls of pipes, surface equipment, and/or parts of components involved in the production and transport of oil. These compounds, when precipitating, cause problems in the oil industry and consequently result in losses in the optimization of the extraction process. Despite the importance and impact of the precipitation of these compounds in the technological and economic scope, there remains difficulty in determining the methods that enable the identification and quantification of the scale at an initial stage.