Integrated network toxicology and bioinformatics approaches explore potential mechanisms linking organophosphate flame retardant exposure to rheumatoid arthritis.

Investigation of the molecular mechanism by which triclosan aggravates rheumatoid arthritis using network toxicology.

This study comprehensively employed network toxicology and experimental validation to systematically investigate the potential mechanisms by which triclosan (TCS) exacerbates rheumatoid arthritis (RA). Through multi-database screening, 173 common targets between TCS and RA were obtained. Combined with protein-protein i...

Integrative Network Toxicology Identifies NFKB1 and KIF11 as Candidate Genes Associated with 2-Hydroxyphenanthrene in the Context of Psoriasis

Background 2-Hydroxyphenanthrene (2-PHE), a polycyclic aromatic hydrocarbon metabolite, has been implicated in immune and inflammatory dysregulation, yet its potential toxicological contribution to psoriasis remains unclear. This study aimed to identify candidate genes and pathways through which 2-PHE might influence p...

Exploring the molecular mechanism of benzo[a]pyrene affecting prostate cancer based on network toxicology and external validation.

PFOS exposure is linked to immune-metabolic disruption in MASLD: integrated population, computational, and experimental evidence.

An association between PFOS exposure and MASLD-related hepatic dysfunction-related hepatic dysfunction is supported and a hypothesis-generating immune-metabolic framework requiring prospective and direct mechanistic validation is proposed.

Integrated computational analysis prioritizes candidate targets and pathways linking ochratoxin A exposure to hepatocellular carcinoma

An integrated computational workflow was used to prioritize candidate targets and pathways potentially linking OTA exposure with HCC and provides a reproducible hypothesis-generating framework for exploring potential metabolic, genomic-instability-related, and immune-microenvironment links between OTA exposure and HCC.

Network toxicology, transcriptomics, immune infiltration, and machine learning-based construction of an environmental endocrine disruptor exposure-associated predictive model for osteonecrosis of the femoral head.

To investigate the potential molecular links between nonylphenol (NP) exposure and osteonecrosis of the femoral head (ONFH), we employed an integrated strategy combining network toxicology, transcriptomic analysis, weighted gene co-expression network analysis (WGCNA), machine learning, immune infiltration analysis, mol...