Evidence map›Paper›PMID 42760421›Full record

ReviewMedScience2026

Shared molecular mechanisms underlying the systemic toxicity of air pollution.

Mengyan Zhang, Junjie Li, Yan Zhang, Tongwu Zhang

Abstract readReview
PubMed Publisher
In one paragraph

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

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

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

4 authors.

Mengyan Zhang *School of Intelligent Medicine and Technology (Big Data Research Center), Hainan Medical University, Haikou, 571199, China.
Junjie Li *School of Intelligent Medicine and Technology (Big Data Research Center), Hainan Medical University, Haikou, 571199, China.
Yan ZhangSchool of Intelligent Medicine and Technology (Big Data Research Center), Hainan Medical University, Haikou, 571199, China.
Tongwu ZhangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892, USA. tongwu.zhang@nih.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution is a leading global environmental health risk, responsible for millions of premature deaths worldwide each year. Although traditionally associated with respiratory and cardiovascular diseases, accumulating epidemiological and mechanistic evidence now demonstrates that air pollution acts as a systemic toxicant, contributing to a wide spectrum of pathologies across nearly all major organ systems. These include pulmonary and extrapulmonary malignancies, neurodegenerative disorders, cardiovascular and renal diseases, metabolic dysfunction-associated fatty liver disease, dermatological conditions, and sensory organ impairment. In this comprehensive review, we synthesize large-scale population studies, experimental models, and molecular evidence to define air pollution as a multi-organ pathogenic exposure driven by convergent biological mechanisms. Disease development across organs is driven by shared mechanisms such as oxidative stress, inflammation, epigenetic changes, and extracellular vesicle signaling, while organ-specific exposure pathways determine tissue vulnerability. Importantly, we emphasize that disease risk is not dictated by exposure alone. Genetic susceptibility plays a decisive role in shaping individual responses to air pollution, with polygenic risk scores and functional variants in detoxification, antioxidant, immune, and host-defense pathways modifying exposure-response relationships. Evidence from human cohorts and genetically defined animal models underscores gene-environment interactions as key drivers of interindividual heterogeneity in pollution-related disease. By integrating mechanistic convergence with organ-specific exposure biology and genetic susceptibility, this review reframes air pollution as a systemic driver of chronic disease. We further identify critical knowledge gaps related to real-world multipollutant exposure, biological resilience, and precision prevention, providing a conceptual foundation for targeted interventions and risk stratification in pollution-exposed populations.

Indexed as

air pollutiongene–environment interactiongenetic susceptibilityinflammationlung canceroxidative stresstumor promotion

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.