ArticleToxics2026
Molecular Mechanisms of 6PPD and 6PPD-Q Toxicity in Neurodegenerative Diseases: A Network Toxicology and Experimental Validation Study.
Article in Toxics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Per- and polyfluoroalkyl substances and kidney disease: Genetic associations and computational prioritization of candidate toxicogenomic pathways.PLoS computational biology · 2026Article
- From Biomass Waste to Multifunctional Biochar: Tailored Preparation and Emerging Applications in Energy, Environment, and Sensing.Molecules (Basel, Switzerland) · 2026Review
- An error measurement method for electricity meters based on dynamic test signal modeling with random measurements.Scientific reports · 2026Article
- Mitochondrial Protection by Trifolirhizin Alleviates Primary Sjögren's Syndrome and Liver Injury via Coordinated Suppression of the ROS/cGAS-STING Pathway.Antioxidants (Basel, Switzerland) · 2026Article
- Asiatic acid remodels the gastric precancerous immune microenvironment by targeting STING.Frontiers in immunology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
6PPD is a widely used tire antioxidant that readily transforms into its more toxic ozonation product, 6PPD-quinone (6PPD-Q). Both compounds are emerging environmental contaminants with potential neurotoxic risks, yet their molecular mechanisms in Alzheimer's disease (AD) and Parkinson's disease (PD) remain unclear. This study integrated network toxicology, molecular docking, transcriptomic validation, and experimental models to investigate their neurotoxic effects. In silico analyses predicted significant neurotoxicity and blood-brain barrier permeability for both compounds. Target prediction and PPI network analysis identified 145/121 overlapping targets with AD/PD for 6PPD and 120/100 for 6PPD-Q. Functional enrichment analysis suggested that 6PPD-associated targets were mainly enriched in axon regeneration-, p75NTR-, and AGE-RAGE-related pathways, whereas 6PPD-Q-associated targets were enriched in MAPK cascade-, endosomal TLR signaling-, and amyloid-β formation-related pathways. Molecular docking suggested favorable binding affinities between these compounds and several core targets, including MAP2K1, EGFR, GSK3B, and CYCS. Transcriptomic validation in GEO datasets prioritized multiple hub genes. In vivo experiments showed activation of apoptosis-related signaling in the brain, while in vitro assays demonstrated ROS accumulation and neuroinflammatory activation (elevated TNF-α, IL-1β, IL-6, IFN-γ). CYCS and MAP2K1 emerged as key convergent nodes. Our findings reveal distinct yet synergistic neurotoxic mechanisms of 6PPD and 6PPD-Q in AD and PD, highlighting tire-derived pollutants as potential environmental risk factors for neurodegenerative diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.