Evidence map›Paper›PMID 41184960›Full record

ArticleBMC pharmacology & toxicology2025

Association between air pollution and dry eye: insights from network toxicology and molecular docking analysis.

Yuting Wu, Ziman Jiao, Yuxin Liu, Yunhao Zhou, Haiyu Li, Xin Chen, Guanghui Liu

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

7 authors.

Yuting WuDepartment of Ophthalmology, Affiliated People's Hospital (Fujian Provincial People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350004, China.
Ziman JiaoDepartment of Ophthalmology, Affiliated People's Hospital (Fujian Provincial People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350004, China.
Yuxin LiuDepartment of Ophthalmology, Affiliated People's Hospital (Fujian Provincial People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350004, China.
Yunhao ZhouDepartment of Bioengineering, College of Biological Science and Biotechnology, Fuzhou University, Fuzhou, 350104, China.
Haiyu LiDepartment of Ophthalmology, Affiliated People's Hospital (Fujian Provincial People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350004, China.
Xin ChenDepartment of Ophthalmology, Affiliated People's Hospital (Fujian Provincial People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350004, China.
Guanghui LiuDepartment of Ophthalmology, Affiliated People's Hospital (Fujian Provincial People's Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, 350004, China. latiny@gmail.com.

Funding

Fujian Major Research Grants for Young and Middle-aged Health Professionals 2021ZQNZD012National Natural Science Foundation of China 81774369Natural Science Foundation of Fujian Province, China 2023J01852Special Project of Fujian University of Traditional Chinese Medicine X2022018-SP
6 · The paper itself

Abstract

backgroundIn recent years, air pollution has been increasingly recognized as a contributing factor to the onset of different diseases. This study seeks to investigate the potential link between air pollutants and dry eye (DE), as well as to identify key genes that may play a pivotal role in this relationship.

methodsA comprehensive search of multiple online databases was conducted to determine target genes associated with both air pollutants and DE. Protein-protein interaction (PPI) analysis and visualization were performed for the overlapping genes. This was followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses to elucidate potential mechanisms. Subsequently, molecular docking and molecular dynamics simulation (MDS) analysis were employed to examine interactions between key genes and air pollutants.

resultsEight ubiquitous air pollutants (benzene, SO₂, O₃, NO, CO, toluene, formaldehyde, and naphthalene) were chosen for analysis, and a total of 26 intersecting targets associated with DE were identified. Functional enrichment analyses using GO and KEGG pathways indicated that these targets are predominantly involved in biological processes including lipid metabolism, hormone regulation, oxidative stress, and inflammatory responses. This analysis underscored six pivotal genes linked to air pollutants and DE. Molecular docking analysis substantiated potential interactions between air pollutants and these core targets. Futhermore, MDS analysis revealed more stable relationships between MMP-2, EGFR, MMP-9, ESR-1 and air pollutants.

conclusionThese findings indicate that TNF, EGFR, MMP-9, ESR-1, ICAM-1, and MMP-2 are integral to the mechanisms through which air pollutants influence DE. This research provides fresh insights about molecular mechanisms linking air pollutants and DE, emphasizing the critical need to enhance public awareness regarding the pervasive issue of air pollution.

Indexed as

Air PollutantsAir PollutionDry Eye SyndromesHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein Interaction MapsAir PollutantsAir pollutionDry eyeMolecular docking analysisMolecular dynamics simulationNetwork toxicology

Identifiers

PMID41184960
PMCPMC12581457

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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.