Evidence map›Paper›PMID 42643620›Full record

ArticleFrontiers in pharmacology2026

Bisphenol A exacerbates dry eye disease via the CASP1/GSDMD-mediated pyroptotic axis: network toxicology, mendelian randomization, and experimental validation.

Yingchen Wang, Chenhong Jiang, Yu Zhang, Kangrui Liu, Kang Lu, Youhai Wang, Minglu Xu, Qing Wang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yingchen WangDepartment of Ophthalmology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Chenhong JiangQingdao Medical College, Qingdao University, Qingdao, Shandong, China.
Yu ZhangDepartment of Ophthalmology, No.971 Hospital of the People's Liberation Army Navy, Qingdao, Shandong, China.
Kangrui LiuQingdao Medical College, Qingdao University, Qingdao, Shandong, China.
Kang LuQingdao Medical College, Qingdao University, Qingdao, Shandong, China.
Youhai WangQingdao Medical College, Qingdao University, Qingdao, Shandong, China.
Minglu XuQingdao Medical College, Qingdao University, Qingdao, Shandong, China.
Qing WangDepartment of Ophthalmology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bisphenol A (BPA) is a pervasive environmental contaminant associated with various systemic toxicities. However, its specific mechanistic involvement in dry eye disease (DED) pathogenesis is not defined. This study aimed to evaluate the toxicological mechanisms of BPA in DED pathogenesis and identify the key molecular mediators driving ocular surface injury. Methods: Toxicity profiles of BPA were predicted using the ProTox and ADMETlab platforms. Network toxicology and machine learning were used to explore pathogenic pathways and molecular mechanisms. Mendelian randomization (MR) analysis was performed to assess the causal effects of candidate targets on DED. Immune infiltration analysis and Gene Set Enrichment Analysis (GSEA) were used to characterize functional features and immune associations. Molecular docking and molecular dynamics (MD) simulations evaluated the spatial engagement and stability between BPA and the hub target. Finally, Results: Toxicity assessments predicted significant ocular irritant and corrosive properties for BPA. Machine learning algorithms identified Conclusion: This study suggests that

Indexed as

bisphenol Adry eye diseasemendelian randomizationmolecular dockingnetwork toxicology

Identifiers

PMID42643620
PMCPMC13503577

What Socratic holds

Textmetadata
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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 Socratic graph.