| Title: | Air pollution metabolomic signatures and chronic respiratory diseases risk: a longitudinal study |
| Journal: | CHEST Journal |
| Published: | 24 Jul 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39059576/ |
| DOI: | https://doi.org/10.1016/j.chest.2024.06.3809 |
Publication 12786
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Abstract
BACKGROUND: Though evidence has documented the associations of ambient air pollution with chronic respiratory diseases (CRD) and lung function, the underlying metabolic mechanisms remain largely unclear.</p>
RESEARCH QUESTION: How does the metabolomic signature for air pollution relate to CRD risk, respiratory symptoms, and lung function?</p>
STUDY DESIGN AND METHODS: We retrieved 171,132 participants free of chronic obstructive pulmonary disease (COPD) and asthma at baseline from the UK Biobank, who had data on air pollution and metabolomics. Exposures to air pollutants (particulate matter with diameter ≤2.5 μm [PM2.5], PM10, nitrogen oxide [NOX], and NO2) were assessed for 4 years before baseline considering residential address histories. We used 10-fold cross-validation elastic net regression to identify air pollution-associated metabolites. Multivariable Cox models were used to assess the associations between metabolomic signatures and CRD risk. Mediation and pathway analysis were conducted to explore the metabolic mechanism underlying the associations.</p>
RESULTS: During a median follow-up of 12.51 years, 8,951 and 5,980 incident COPD and asthma cases were recorded. In multivariable Cox regressions, air pollution was positively associated with CRD risk (for example, hazard ratios [HR] per interquartile range [IQR] increment in PM2.5: 1.09; 95% confidence interval [CI]: 1.06-1.13). We identified 103, 86, 85, and 90 metabolites in response to PM2.5, PM10, NOX, and NO2 exposure, respectively. The metabolomic signatures showed significant associations with CRD risk (HR per standard deviation (SD) increment in PM2.5-metabolomic signature: 1.11; 95% CI: 1.09-1.14). Mediation analysis showed that peripheral inflammatory and erythrocyte-related markers mediated the effects of metabolomic signatures on CRD risk. We identified 14 and 12 perturbed metabolic pathways (energy metabolism and amino acid metabolism pathways, etc.) for PM2.5 and NOX-metabolomic signatures.</p>
INTERPRETATION: Our study identifies metabolomic signatures for air pollution exposure. The metabolomic signatures showed significant associations with CRD risk, and inflammatory and erythrocyte-related markers partly mediated the metabolomic signatures-CRD links.</p>
9 Authors
- Bingting Zhuo
- Shanshan Ran
- Aaron M Qian
- Junguo Zhang
- Maya Tabet
- Steven W Howard
- Zilong Zhang
- Fei Tian
- Hualiang Lin
1 Application
| Application ID | Title |
|---|---|
| 69550 | Identifying the potential effects of environmental and other healthcare related factors influencing health outcomes, mediated by genetic variances |
Enabling scientific discoveries that improve human health