Search Results - "Toxicogenomics"

Network Toxicology and Machine Learning Identify Core Targets Mediating Fluoride-Induced Osteoarthritis.

Authors: GUO, Hengyi LIU, Peng SONG, Yining et al.

Source: Fluoride. Jan-Mar2026, Vol. 59 Issue 1, p1-11. 11p.

Exploratory Toxicogenomic Analysis of Parasite-Related Th2 Immune Response.

Authors: Ziliotto, Marina Chies, José Artur Bogo Ellwanger, Joel Henrique

Source: Parasitologia. Dec2025, Vol. 5 Issue 4, p58. 12p.

Epigenetic and toxicogenomic effects of glyphosate: A narrative review.

Authors: Vanalli, Pedro Rigobeli Albuquerque, Eliane P. A.

Source: Public Health & Toxicology. 2025, Vol. 5 Issue 4, p1-12. 12p.

Micro- and Nanoplastics Act as Metal Carriers with the Potential to Alter Human Gene Expression Patterns—The Inferences from Bioinformatic Online Tools.

Authors: Grabacka, Maja Pierzchalska, Małgorzata

Source: Biomolecules (2218-273X). Oct2025, Vol. 15 Issue 10, p1418. 22p.

Drug-induced liver injury prediction based on graph convolutional networks and toxicogenomics.

Authors: Xiao, Tong Liu, Ying Hu, Kaimiao et al.

Source: PLoS Computational Biology. 9/5/2025, Vol. 21 Issue 9, p1-17. 17p.

A workflow for human health hazard evaluation using transcriptomic data and Key Characteristics-based gene sets.

Authors: Tsai, Han-Hsuan D Oware, King D Wright, Fred A et al.

Source: Toxicological Sciences. Jun2025, Vol. 205 Issue 2, p310-325. 16p.

Subjects: Transcriptomes, Toxicogenomics, Quantitative research, Toxicity testing, Chemical safety, Public health

Integrative network-based construction of ecologically relevant computational adverse outcome pathways for organic mercury-induced toxicity.

Authors: Madgaonkar, Shreyes Rajan Chivukula, Nikhil Garisetti, Vasavi et al.

Source: Environmental Toxicology & Chemistry. Mar2026, Vol. 45 Issue 3, p731-747. 17p.

Subjects: Molecular docking, Toxicogenomics, Mercury poisoning, Proteins, Toxicity testing, Environmental toxicology

Advancing transcriptomics-based mechanistic assessment of nephrotoxicity in vitro using the human RPTEC/TERT1 TXG-MAPr gene co-expression network.

Authors: Kessel, Hugo W van Kunnen, Steven J Callegaro, Giulia et al.

Source: Toxicological Sciences. Jan2026, Vol. 209 Issue 1, p1-16. 16p.

Subjects: Nephrotoxicology, Toxicogenomics, Transcriptomes, In vitro studies, Gene regulatory networks, Proximal kidney tubules, Chemical safety

Machine learning-integrated network toxicology uncovers glioma targets of DEHP.

Authors: Li, Ren Ren, Chaomin He, Lu et al.

Source: Frontiers in Toxicology; 2026, p1-20, 20p

Identification of functional genetic components modulating toxicity response to PFOS using genome-wide CRISPR screens in HepG2/C3A cells.

Authors: Kim, Chanhee Tagmount, Abderrahmane Zhu, Zhaohan et al.

Source: Archives of Toxicology. Apr2026, Vol. 100 Issue 4, p1391-1410. 20p.

Health effects of PFASs on five major human cancers: A network toxicology perspective on molecular pathogenesis.

Authors: Qi, Zhen Yang, Xuefei Geng, Zhuning et al.

Source: Journal of Environmental Sciences (Elsevier). Apr2026, Vol. 162, p307-321. 15p.

Subject Terms: *Perfluorooctanoic acid, *Carcinogenesis, *Toxicogenomics, Perfluorooctane sulfonate, Tumors, Fluoroalkyl compounds, Pathogenesis, Peroxisome proliferator-activated receptors

AIVIVE: a novel AI framework for enhanced in vitro to in vivo extrapolation (IVIVE) of toxicogenomics data.

Authors: Chandra, Mansi Li, Ting Tong, Weida

Source: Toxicological Sciences. Oct2025, Vol. 207 Issue 2, p361-371. 11p.

Subjects: Toxicogenomics, Artificial intelligence, Prediction models, Risk assessment, Clinical toxicology, Generative adversarial networks, Gene expression profiling, In vivo studies

A computational framework to in silico screen for drug-induced hepatocellular toxicity.

Authors: Zhao, Yueshan Park, Ji Youn Yang, Da et al.

Source: Toxicological Sciences. Sep2024, Vol. 201 Issue 1, p14-25. 12p.

Subjects: Drug development, Toxicogenomics, Liver failure, Cell imaging, Transcriptomes

Deciphering the toxicological mechanism of airway allergic diseases caused by dioctyl terephthalate: a composite study.

Authors: Zhang, Zhi-Qiang Bao, You-Wei Wang, Hongyou et al.

Source: Frontiers in Toxicology; 2026, p1-25, 25p

Study on the Potential Molecular Mechanisms of Sodium Dehydroacetate (Na‐DHA) Interfering With Bone Metabolism and Inducing Osteoporosis Based on Network Toxicology, Molecular Docking, and In Vitro Experimental Validation.

Authors: Qian, Weihong Bao, Qingqing Tang, Xiaoqing et al.

Source: Food Science & Nutrition. Mar2026, Vol. 14 Issue 3, p1-14. 14p.

Subject Terms: *Toxicogenomics, *Food additives, Bone metabolism, Osteoporosis, In vitro studies, Bone growth, Lipid metabolism, Molecular docking

Ultrasound‐Enhanced Chlorination of Methylene Blue: Reactive Species Contributions, Pathways, and Integrated Toxicity Assessment.

Authors: Yang, Xiaoyu Zhao, Weilong Jiang, Wenqian et al.

Source: CLEAN: Soil, Air, Water. Mar2026, Vol. 54 Issue 3, p1-16. 16p.

Subject Terms: *Chemical decomposition, *Toxicity testing, *Toxicogenomics, Methylene blue, Free radicals, Free radical scavengers, Electron paramagnetic resonance

Investigating the Potential Effects of 6PPDQ on Clear Cell Renal Cell Carcinoma via Network Toxicology and Molecular Docking Analysis With In Vitro Experimental Validation.

Authors: Song, Yuanzhi Wang, Siyuan Hong, Yifan et al.

Source: Journal of Applied Toxicology; Feb2026, Vol. 46 Issue 2, p669-681, 13p

From toxicogenomics data to cumulative assessment groups: a framework for chemical grouping.

Authors: Canzler, Sebastian Lehmann, Julienne Schor, Jana et al.

Source: Archives of Toxicology. Jan2026, Vol. 100 Issue 1, p173-191. 19p.

Saccharin Aggravates Eosinophilic Esophagitis via MAPK3 Interaction: A Network Toxicology and Machine Learning Study With SPR Analysis.

Authors: Yang, Yuan Guo, Tao Li, Peiyuan et al.

Source: Food Science & Nutrition. Jan2026, Vol. 14 Issue 1, p1-14. 14p.

Subject Terms: *Toxicogenomics, *Food safety, Saccharin, Eosinophilic esophagitis, Machine learning, Mitogen-activated protein kinases, Molecular docking, Surface plasmon resonance

In Silico Discovery of Permethrin-Driven Myeloid Leukemogenesis: Molecular Mechanisms and Public Health Implications.

Authors: Jiang, Zikang Sung, Jinghui Li, Weijie et al.

Source: Journal of Hazardous, Toxic & Radioactive Waste. Jan2026, Vol. 30 Issue 1, p1-12. 12p.

Subject Terms: *Toxicogenomics, *Public health, Permethrin, Acute myeloid leukemia, Chronic myeloid leukemia, Deep learning, Molecular dynamics, Myeloid leukemia