AIMC Topic: Reactive Oxygen Species

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Preparation, characterization and toxicological investigation of copper loaded chitosan nanoparticles in human embryonic kidney HEK-293 cells.

Materials science & engineering. C, Materials for biological applications
Metallic nanoparticles often attribute severe adverse effects to the various organs or tissues at the molecular level despite of their applications in medical, laboratory and industrial sectors. The present study highlights the preparation of copper ...

Insulin improves in vitro survival of equine preantral follicles enclosed in ovarian tissue and reduces reactive oxygen species production after culture.

Theriogenology
This study investigated the effect of insulin concentration on the in vitro culture of equine preantral follicles enclosed in ovarian tissue. Ovarian tissue samples were immediately fixed (noncultured control) or cultured for 1 or 7 days in α-MEM(+) ...

Methodological considerations for using umu assay to assess photo-genotoxicity of engineered nanoparticles.

Mutation research. Genetic toxicology and environmental mutagenesis
In this study we investigated the feasibility of high-throughput (96-well plate) umu assay to test the genotoxic effect of TiO2 engineered nanoparticles (ENPs) under UV light (full spectrum) and visible light (455 nm). Exposure of TiO2 ENPs to up to ...

Perfluorooctanoic acid-induced toxicity in primary cultures of chicken embryo cardiomyocytes.

Environmental toxicology
Perfluorooctanoic acid (PFOA) is a widespread environmental contaminant that induces developmental cardiotoxicity. It is detectable in late stage chicken embryos and hatchling chickens. To investigate mechanism(s) of cardiotoxicity, primary cultures ...

Cytotoxic response of platinum-coated gold nanorods in human breast cancer cells at very low exposure levels.

Environmental toxicology
Because of unique optical behavior gold nanorods (GNRs) have attracted attention for the application in biomedical field such as bio-sensing, bio-imaging and hyperthermia. However, toxicological response of GNRs is controversial due to their differen...

Quantifying small molecule phenotypic effects using mitochondrial morpho-functional fingerprinting and machine learning.

Scientific reports
In primary fibroblasts from Leigh Syndrome (LS) patients, isolated mitochondrial complex I deficiency is associated with increased reactive oxygen species levels and mitochondrial morpho-functional changes. Empirical evidence suggests these aberratio...

Predicting in vitro assays related to liver function using probabilistic machine learning.

Toxicology
While machine learning has gained traction in toxicological assessments, the limited data availability requires the quantification of uncertainty of in silico predictions for reliable decision-making. This study addresses the challenge of predicting ...

Integrating machine learning and nano-QSAR models to predict the oxidative stress potential caused by single and mixed carbon nanomaterials in algal cells.

Environmental toxicology and chemistry
In silico methods are increasingly important in predicting the ecotoxicity of engineered nanomaterials (ENMs), encompassing both individual and mixture toxicity predictions. It is widely recognized that ENMs trigger oxidative stress effects by genera...

Screening of oxidative stress components of cigarette smoke based on machine learning model integration.

Toxicology and applied pharmacology
Cigarette smoke, a complex mixture of more than 7000 chemicals, poses a significant threat to human health, with oxidative stress being an important mechanism in its associated diseases. Traditional methods for assessing the toxicity of cigarette smo...

Machine learning-guided fabrication of carbon dot-pepsin nano-conjugates for enhanced bioimaging, synergistic drug delivery, and visible light-induced photosensitization.

Nanoscale
Carbon dots (CDs) are emerging as next-generation bioimaging agents due to their strong fluorescence, photobleaching resistance, and biocompatibility. However, their small size often limits efficient cell internalization, leading to unspecified cellu...