SynthesisCurrent environmental health reports2025
Toxicological Effects of Air Pollutants on Human Airway Cell Models Using Air-liquid Interface Systems: A Systematic Review.
Synthesis in Current environmental health reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Unmasking the Impact of Air Pollution on Allergic Rhinitis.Clinical reviews in allergy & immunology · 2026Review
- Removal of volatile organic compounds by chemical filters significantly inhibited the development of atopic dermatitis symptoms in mice: potential implications for air-conditioning systems in healthcare environments.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Polygenic risk and air pollution trends in relation to type 2 diabetes: evidence from the Taiwan Biobank.Diabetology & metabolic syndrome · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
purpose of reviewGlobal air pollution has increased significantly in recent decades mainly due to anthropogenic emissions. This results in elevated concentrations of some airborne pollutants like nitrogen dioxide, ozone, volatile organic compounds (VOCs), and particulate matter (PM). In this review, we aim to provide an overview of the current state of knowledge on the toxicological effects of air pollution on airway epithelial cells, the first point of contact of the air pollutants with the body, using air-liquid interface (ALI) models. RECENT
findingsResearch on the health effects of air pollution has advanced through studies that take a multidisciplinary approach integrating toxicology, epidemiology, and molecular and cell biology. Submerged cell cultures have been used in most studies for the assessment of air pollution toxicity in vitro, but these show some important limitations. Thus, human airway cellular models based on ALI systems have emerged as very promising approaches in respiratory toxicology due to their closer resemblance to in vivo conditions. Results from 53 studies indicate that both, acute and prolonged exposures to air pollution induce oxidative, inflammatory, and genotoxic responses in airway epithelial cells. The changes in several biomarkers and genes related to the observed health effects were discussed through key molecular pathways, and particularly those related to the oxidative stress state. Lastly, we identified perspectives for future research in this field, such as the use of more complex test (e.g., photochemical ageing) atmospheres and exposure models that are reliable for long-term and repeated exposures. This review highlights the role of ALI cellular models as essential tools in respiratory toxicology and environmental health research, providing insights into the molecular mechanisms triggered by air pollution exposure.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.