AIMC Topic: DNA Damage

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Toxicity, genotoxicity, and carcinogenicity of 2-methylfuran in a 90-day comprehensive toxicity study in gpt delta rats.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association Aug 13, 2022
2-Methylfuran (2-MF) exists naturally in foods and is used as a flavoring agent. Furan, the core structure of 2-MF, possesses hepatocarcinogenicity in rodents. Accumulation of toxicological information on furan derivatives is needed to elucidate thei...
Dose-Response Relationship, Drug Pregnancy Mutagenicity Tests Liver Female Rats, Inbred F344 Placenta Animals Rats, Transgenic DNA Damage Carcinogens Male Alkaline Phosphatase Rats Furans Rats, Sprague-Dawley Flavoring Agents Glutathione Transferase
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Prioritization of Mycotoxins Based on Their Genotoxic Potential with an In Silico-In Vitro Strategy.

Toxins Oct 19, 2021
Humans are widely exposed to a great variety of mycotoxins and their mixtures. Therefore, it is important to design strategies that allow prioritizing mycotoxins based on their toxic potential in a time and cost-effective manner. A strategy combining...
Animals Male Mycotoxins Expert Systems Quantitative Structure-Activity Relationship Mutagenicity Tests Activation, Metabolic Rats Rats, Sprague-Dawley Salmonella typhimurium DNA Damage
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Inter-laboratory automation of the in vitro micronucleus assay using imaging flow cytometry and deep learning.

Archives of toxicology Jul 10, 2021
The in vitro micronucleus assay is a globally significant method for DNA damage quantification used for regulatory compound safety testing in addition to inter-individual monitoring of environmental, lifestyle and occupational factors. However, it re...
Cytokinesis Methyl Methanesulfonate Humans Mutagens Automation, Laboratory Carbamates Dose-Response Relationship, Drug Deep Learning Micronucleus Tests Cell Line Benzimidazoles DNA Damage Flow Cytometry
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Application of artificial intelligence for detection of chemico-biological interactions associated with oxidative stress and DNA damage.

Chemico-biological interactions May 27, 2021
In recent years, various AI-based methods have been developed in order to uncover chemico-biological interactions associated with DNA damage and oxidative stress. Various decision trees, bayesian networks, random forests, logistic regression models, ...
Antioxidants DNA Damage Humans Artificial Intelligence Animals Oxidative Stress
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Machine learning for sperm selection.

Nature reviews. Urology May 17, 2021
Infertility rates and the number of couples seeking fertility care have increased worldwide over the past few decades. Over 2.5 million cycles of assisted reproductive technologies are being performed globally every year, but the success rate has rem...
Humans Machine Learning Male Infertility Fertilization in Vitro Spermatozoa Sperm Retrieval Sperm Motility DNA Damage Sperm Injections, Intracytoplasmic Semen Analysis Cell Shape
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Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome.

Nature communications Dec 11, 2020
The transcriptional regulatory network (TRN) of Bacillus subtilis coordinates cellular functions of fundamental interest, including metabolism, biofilm formation, and sporulation. Here, we use unsupervised machine learning to modularize the transcrip...
Quorum Sensing Gene Expression Regulation, Bacterial Iron Chelating Agents Histidine DNA Damage Bacterial Proteins Data Mining Tryptophan Machine Learning Transcriptome Gene Regulatory Networks Bacillus subtilis Ethanol
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Machine learning guided prediction of liquid chromatography-mass spectrometry ionization efficiency for genotoxic impurities in pharmaceutical products.

Journal of pharmaceutical and biomedical analysis Nov 20, 2020
The limitation and control of genotoxic impurities (GTIs) has continued to receive attention from pharmaceutical companies and authorities for several decades. Because GTIs have the ability to damage deoxyribonucleic acid (DNA) and the potential to c...
Chromatography, Liquid DNA Damage Pharmaceutical Preparations Humans Support Vector Machine Mass Spectrometry
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Piperidine based 1,2,3-triazolylacetamide derivatives induce cell cycle arrest and apoptotic cell death in .

Journal of advanced research Nov 10, 2020
The fungal pathogen , is a serious threat to public health and is associated with bloodstream infections causing high mortality particularly in patients with serious medical problems. As this pathogen is generally resistant to all the available clas...
DNA Damage Acetamides Cell Cycle Checkpoints Drug Resistance, Fungal Piperidines Triazoles Cell Survival Humans Candida Public Health Candidiasis Microbial Sensitivity Tests Antifungal Agents Apoptosis
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In vitro and in silico genetic toxicity screening of flavor compounds and other ingredients in tobacco products with emphasis on ENDS.

Journal of applied toxicology : JAT Jul 13, 2020
Electronic nicotine delivery systems (ENDS) are regulated tobacco products and often contain flavor compounds. Given the concern of increased use and the appeal of ENDS by young people, evaluating the potential of flavors to induce DNA damage is impo...
Consumer Product Safety Quantitative Structure-Activity Relationship Mutagenicity Tests Histones Electronic Nicotine Delivery Systems Mice Flow Cytometry Machine Learning Rats Tumor Suppressor Protein p53 Biomarkers Models, Molecular Cell Line Humans Flavoring Agents Animals Phosphorylation DNA Damage Risk Assessment
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Predicting direct hepatocyte toxicity in humans by combining high-throughput imaging of HepaRG cells and machine learning-based phenotypic profiling.

Archives of toxicology Jun 12, 2020
Accurate prediction of drug- and chemical-induced hepatotoxicity remains to be a problem for pharmaceutical companies as well as other industries and regulators. The goal of the current study was to develop an in vitro/in silico method for the rapid ...
Microscopy, Fluorescence Cellular Senescence Cell Death Hepatocytes High-Throughput Screening Assays Toxicity Tests Transcription Factor RelA Chemical and Drug Induced Liver Injury Image Processing, Computer-Assisted Hep G2 Cells Dose-Response Relationship, Drug DNA Damage Primary Cell Culture Humans Actin Cytoskeleton Machine Learning Proto-Oncogene Mas Phenotype Risk Assessment
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