Evidence mapPaperPMID 40137548Full record

ArticleToxics2025

Impact of a Nanoscale Iron-Chlorobenzene Mixture on Pulmonary Injury in Rat Pups: Extending Exposure Knowledge Using Network Technology.

Kezhou Liu, Ying Xu, Mengjie Ying, Meiling Chen

Abstract read
In one paragraph

Article in Toxics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Kezhou LiuSchool of Automation (Artificial Intelligence), Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0002-5235-7357
Ying XuSchool of Automation (Artificial Intelligence), Hangzhou Dianzi University, Hangzhou 310018, China.
Mengjie YingSchool of Automation (Artificial Intelligence), Hangzhou Dianzi University, Hangzhou 310018, China.
Meiling ChenSchool of Environment and Resources, Zhejiang University, Hangzhou 310058, China.

Funding

College Students' Science and Technology Innovation Activity Plan (New Talent Plan) of Zhejiang Province 2024R407B049Key Research & Development Program of Zhejiang Province 2023C03078Natural Science Foundation of Zhejiang Province LY21H170002
6 · The paper itself

Abstract

Particulate matter coexists with persistent organic pollutants (POPs) in the atmosphere, which can enter the human body by accompanying inhalable particles in the respiratory tract. Photochemical conversion further alters the chemical composition of the precursor particles and secondary products. This study investigated the effects of nanoscale iron-chlorobenzene mixtures and their photochemical conversion products on early lung development in rat pups. Using network toxicology and animal experiments, we constructed a compound toxicity-target network and developed air exposure models. This study revealed that both pollutants, before and after photochemical conversion, bound to the aryl hydrocarbon receptor (AhR), increased oxidative stress, altered lung tissue morphology, and reduce inflammatory factor expression. Rat pups were highly sensitive to pollutants during critical stages of lung development. However, no significant differences in oxidative stress or inflammation were observed between the pollutants, likely because of immature lung tissues. Once tissue damage reached a threshold, the response to increasing pollutant concentrations diminished. This study provides insights into atmospheric pollutant toxicity and scientific evidence for the risk assessment of dioxin-like nanoscale mixtures.

Indexed as

chlorobenzeneinflammatory factorsnetwork toxicologyoxidative stressphotochemical conversionpulmonary development

Identifiers

PMID40137548
PMCPMC11946418

What Socratic holds

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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.