Evidence map›Paper›PMID 41456051›Full record

ArticleBMC pharmacology & toxicology2025

Integrative network toxicology, transcriptomic, and molecular docking approaches to elucidate the toxicity and mechanisms of bisphenol A in stroke.

Zhonghui Wen, Bin Hu, Qiongfang Zhang, Zhifu Sun, Hai Wang, Kun Zhang, Jingchun Pei, Ziyu Chen

Abstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2025. 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

8 authors.

Zhonghui Wen *Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650000, China.
Bin Hu *Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650000, China.
Qiongfang Zhang *Department of Neurosurgery, People's Hospital of Pu'er City, Pu'er, Yunnan, 665000, China.
Zhifu SunDepartment of Neurosurgery, Lancang County People's Hospital, Pu'er, Yunnan, 665699, China.
Hai WangDepartment of Neurology, People's Hospital of Pu'er City, Pu'er, Yunnan, 665000, China.
Kun ZhangDepartment of Emergency Medicine, People's Hospital of Pu'er City, Pu'er, Yunnan, 665000, China.
Jingchun PeiDepartment of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650000, China. 15812010158@163.com.
Ziyu ChenDepartment of Nephrology, People's Hospital of Pu'er City, Pu'er, Yunnan, 665000, China. Chenzy2508@163.com.

Funding

Kunming University of Science and Technology KUST-PE20240020YPu'er Science and Technology PEKJ2023004Y
6 · The paper itself

Abstract

backgroundBisphenol A (BPA), a widespread environmental endocrine disruptor, has raised concerns for its neurotoxic effects, yet its molecular role in stroke remains unclear.

methodsBPA target genes were retrieved from ChEMBL, DrugBank, and SwissTargetPrediction. Differentially expressed genes (DEGs) and key co-expression modules related to stroke were identified from the GSE16561 dataset using weighted gene co-expression network analysis (WGCNA). Core targets were determined by overlapping BPA targets, DEGs, and genes within significant WGCNA modules, followed by protein–protein interaction (PPI) network analysis. Functional enrichment was conducted using DAVID, and molecular docking assessed BPA’s binding affinity to the identified core targets.

resultsAnalysis of GSE16561 identified 1,801 DEGs. Intersection with BPA targets and WGCNA module genes yielded 22 candidate genes. PPI network topology analysis (MCC, closeness, degree) highlighted 10 core targets: NDUFB7, NDUFA11, NDUFB11, NDUFB8, NDUFS8, NDUFA12, NDUFS5, NDUFA8, NDUFV1, and NDUFA13. Functional enrichment revealed 12 significant Gene Ontology terms and 14 KEGG pathways. Molecular docking demonstrated stable binding of BPA to all 10 core targets, with NDUFA11 (− 7.7 kcal/mol) and NDUFV1 (− 7.4 kcal/mol) exhibiting the highest binding affinities.

conclusionThis study is the first to systematically elucidate the role of BPA exposure in stroke and its potential molecular mechanisms, providing important evidence for understanding the toxicological effects of BPA. In addition, it offers a theoretical basis for developing strategies to prevent and mitigate cerebrovascular injury associated with BPA exposure. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Benzhydryl CompoundsEndocrine DisruptorsPhenolsStrokeAnimalsBisphenol A CompoundsHumansMolecular Docking SimulationProtein Interaction MapsTranscriptomeBenzhydryl Compoundsbisphenol ABisphenol A CompoundsEndocrine DisruptorsPhenolsBisphenol AMitochondrial respiratory chain complex IMolecular dockingNetwork toxicologyStroke

Identifiers

PMID41456051
PMCPMC12853596

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LicenceCC BY-NC-ND
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Registered trials

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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.