Evidence map›Paper›PMID 42040333›Full record

ArticleFrontiers in neuroscience2026

Effective analysis of neurotoxicity and mechanisms of dioctyl terephthalate using network toxicology.

Hao Tang, Ting Qin, Zhiwen Yan, Changqing Li, Qinghuan Yang, Yinghong Tang

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hao Tang *Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ting Qin *Department of Respiratory Disease, Science City People's Hospital, Chongqing, China.
Zhiwen YanDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Changqing LiDepartment of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qinghuan YangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yinghong TangDepartment of Gerontology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Dioctyl terephthalate (DOTP), a widely used plasticizer in food packaging and environmental materials, has raised concerns regarding its potential impact on human health. This study aims to investigate the neurotoxicity-related mechanisms of DOTP through an integrated approach combining network toxicology, molecular dynamics simulations, and Methods: We retrieved the DOTP chemical structure from PubChem and predicted potential protein targets using the Similarity Ensemble Approach (SEA), SwissTargetPrediction, and SuperPred. We performed protein-protein interaction (PPI) network analysis using STRING and Cytoscape to identify core neurotoxicity-associated targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to characterize the biological relevance of the 90 intersecting targets. We used AutoDock to assess the binding affinity of DOTP to the core proteins, and employed GROMACS for molecular dynamics (MD) simulations to explore the stability and conformational dynamics of the docked complexes. Results: We identified 90 neurotoxicity-related targets, among which EGFR, BCL2, CASP3, MAPK8, TLR4, NFKB1, and MTOR emerged as core nodes within the PPI network. GO and KEGG analyses revealed the involvement of these targets in diverse biological processes, cellular components, molecular functions, and signaling pathways. Molecular docking indicated favorable binding affinities between DOTP and the identified core targets, a finding further supported by MD simulations. Moreover, DOTP-treated mice exhibited significant neurofunctional deficits and neuronal loss, accompanied by profound oxidative stress, neuroinflammation, and apoptotic activation, substantiating its potential neurotoxicity. Conclusion: Our findings provide a theoretical foundation for understanding the predicted molecular mechanisms of DOTP-induced neurotoxicity. The integration of computational modeling and

Indexed as

DOTPmolecular dockingmolecular dynamics simulationsnetwork toxicologyneurotoxicity

Identifiers

PMID42040333
PMCPMC13106157

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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.