Evidence map›Paper›PMID 41226680›Full record

ArticleInternational journal of molecular sciences2025

Unraveling the Obesogenic Mechanism of Bisphenol A Through Network Toxicology and Molecular Docking: Identification of Key Molecular Targets.

Ruiqiu Zhang, Manman Zhao, Hairuo Wen, Zhi Lin, Xiaobing Zhou

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

5 authors.

Ruiqiu ZhangNational Institutes for Food and Drug Control, Chinese Academy of Medical-Sciences and Peking Union Medical College, Beijing 100730, China.
Manman ZhaoNational Center for Safety Evaluation of Drugs, National Institutes for Food and Drug Control, Beijing 100176, China.
Hairuo WenNational Center for Safety Evaluation of Drugs, National Institutes for Food and Drug Control, Beijing 100176, China.
Zhi LinNational Center for Safety Evaluation of Drugs, National Institutes for Food and Drug Control, Beijing 100176, China.
Xiaobing ZhouNational Center for Safety Evaluation of Drugs, National Institutes for Food and Drug Control, Beijing 100176, China.

Funding

The State Key Laboratory of Drug Regulatory Science 2025SKLDRS0326
6 · The paper itself

Abstract

This study integrates network toxicology with molecular docking technology to systematically elucidate the key molecular mechanisms and signaling pathways by which bisphenol A (BPA) induces obesity. By cross-referencing multiple databases-including the Comparative Toxicogenomics Database (CTD), SwissTarget prediction platform, and PharmMapper-potential BPA target genes were identified, yielding a total of 1326 candidate targets. Obesity-related genes were collected from GeneCards and OMIM databases, yielding 4570 disease-associated targets. Among these, 653 overlapping genes were identified as potential mediators linking BPA exposure to obesity. Protein interaction networks were constructed using STRING and Cytoscape, and the MCC algorithm identified five core hub genes: STAT3, MYC, TP53, IL6, and mTOR. Validation using random datasets demonstrated significant upregulation of these genes in the obesity group (

Indexed as

Benzhydryl CompoundsMolecular Docking SimulationObesityPhenolsBisphenol A CompoundsEndocrine DisruptorsGene Regulatory NetworksHumansProtein Interaction MapsSignal TransductionBenzhydryl Compoundsbisphenol ABisphenol A CompoundsEndocrine DisruptorsPhenolsbisphenol Alipid and atherosclerosis signaling pathwaymolecular dockingnetwork toxicologyobesity

Identifiers

PMID41226680
PMCPMC12610786

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.