AIMC Topic: Oxidative Stress
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Deep learning approach identified a gene signature predictive of the severity of renal damage caused by chronic cadmium accumulation.
Journal of hazardous materials
Mar 27, 2022
Epidemiology studies have indicated that environmental cadmium exposure, even at low levels, will result in chronic cadmium accumulation in the kidney with profound adverse consequences and that the diabetic population is more susceptible. However, t...
Artificial intelligence approaches to the biochemistry of oxidative stress: Current state of the art.
Chemico-biological interactions
Mar 13, 2022
Artificial intelligence (AI) and machine learning models are today frequently used for classification and prediction of various biochemical processes and phenomena. In recent years, numerous research efforts have been focused on developing such model...
Machine Learning Identifies Pan-Cancer Landscape of Nrf2 Oxidative Stress Response Pathway-Related Genes.
Oxidative medicine and cellular longevity
Feb 17, 2022
BACKGROUND: Oxidative stress produced a large amount of reactive oxygen species (ROS), which played a pivotal role in balanced ability and determining cell fate. The activated Nrf2 signaling pathway that responds to the excessive ROS regulated the ex...
Gibberellic acid-induced hepatorenal dysfunction and oxidative stress: Mitigation by quercetin through modulation of antioxidant, anti-inflammatory, and antiapoptotic activities.
Journal of food biochemistry
Jan 5, 2022
The plant growth regulator gibberellic acid (GA3) is widely used in agriculture in many countries. However, little is known about its danger to human health or its physiologic and biochemical pathways. Our study examined the effect of GA3 on liver an...
Aquoeus Extracts of Daucus Carota (Linn) Protected the Postnatal Developing Cerebellum of Wistar Rats Against Arsenic-Induced Oxidative Stress.
Nigerian journal of physiological sciences : official publication of the Physiological Society of Nigeria
Dec 31, 2021
The neuroprotective effects of the aqueous extract of Daucus carota (Dc) tuber against arsenic-induced oxidative damage on the developing cerebellum of Wistar rats were studied. Twenty-five pregnant rats (110-200g) were divided into five groups (n=5)...
Pd/silicalite-1: An highly active catalyst for the oxidative removal of toluene.
Journal of environmental sciences (China)
Dec 29, 2021
Catalytic combustion is thought as an efficient and economic pathway to remove volatile organic compounds, and its critical issue is the development of high-performance catalytic materials. In this work, we used the in situ synthesis method to prepar...
Exploring the Underlying Mechanism of Shenyankangfu Tablet in the Treatment of Glomerulonephritis Through Network Pharmacology, Machine Learning, Molecular Docking, and Experimental Validation.
Drug design, development and therapy
Nov 9, 2021
PURPOSE: This study aimed to explore the underlying mechanisms of Shenyankangfu tablet (SYKFT) in the treatment of glomerulonephritis (GN) based on network pharmacology, machine learning, molecular docking, and experimental validation.
Toxicity evaluation and oxidative stress response of fumaronitrile, a persistent organic pollutant (POP) of industrial waste water on tilapia fish (Oreochromis mossambicus).
Environmental research
Sep 8, 2021
The study was designed to determine the impact of acute toxicity of fumaronitrile exposure through tissue damaging, oxidative stress enzymes and histopathological studies in gills, liver and muscle cells of freshwater tilapia fish (Oreochromis mossam...
Derivation, characterisation and analysis of an adverse outcome pathway network for human hepatotoxicity.
Toxicology
Jul 10, 2021
Adverse outcome pathways (AOPs) and their networks are important tools for the development of mechanistically based non-animal testing approaches, such as in vitro and/or in silico assays, to assess toxicity induced by chemicals. In the present study...
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, ...
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