Humans

Proteomics reveals how air pollutants drive chronic disease

In 48,645 UK Biobank participants, plasma proteomic profiles showed shared immune pathways and pollutant-specific mechanisms linking air pollution to mortality and chronic disease risks.

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Graphical abstractJiang et al.

Redox Biology

In 48,645 UK Biobank participants, researchers profiled plasma proteins associated with four ambient air pollutants: fine particulate matter (PM2.5), coarse particulate matter (PM10), nitrogen dioxide, and nitrogen oxides. They examined associations between these proteomic signatures, overall mortality, and risks of major chronic diseases. Proteins jointly linked to all four pollutants were enriched in immune regulatory pathways. Unique signatures emerged for specific pollutants: vascular dysfunction for PM2.5, DNA damage for PM10, apoptosis signaling for nitrogen dioxide, and extracellular matrix remodeling for nitrogen oxides. Mediation and Mendelian randomization analyses identified causal mediating proteins tied to outcomes, revealing shared inflammatory mechanisms alongside outcome-specific pathways, including vascular remodeling for cardiovascular disease, oxidative stress for chronic kidney disease, and cell adhesion for dementia. Additionally, advanced glycosylation end product-specific receptor (AGER) showed specificity for chronic respiratory disease and lung cancer.

Why it matters

Chronic exposure to environmental pollutants contributes significantly to age-related morbidity and mortality. Identifying specific mediating proteins and pathways provides concrete biological targets to counteract pollution-driven systemic inflammation, DNA damage, and tissue dysfunction.

Caveats

The findings rely primarily on observational data from the UK Biobank, meaning residual confounding could still influence the reported associations despite the use of Mendelian randomization.

The paper

Identification of shared and divergent molecular pathways linking ambient air pollutants to mortality and major chronic diseases through proteomic profiling

Huazhong University of Science and Technology

Redox Biology · 23 Sep 2026

doi.org/10.1016/j.redox.2026.104411PubMed 42815190