학술논문

Associations between Ambient Air Pollutants and Clonal Hematopoiesis of Indeterminate Potential.
Document Type
article
Source
Cancer Epidemiology Biomarkers & Prevention. 32(10)
Subject
Epidemiology
Health Sciences
Aging
Cancer
Hematology
Climate-Related Exposures and Conditions
Prevention
Atherosclerosis
Genetics
2.2 Factors relating to the physical environment
Humans
Female
Air Pollutants
Environmental Pollutants
Nitrogen Dioxide
Clonal Hematopoiesis
Cross-Sectional Studies
Environmental Exposure
Air Pollution
Particulate Matter
Medical and Health Sciences
Biomedical and clinical sciences
Health sciences
Language
Abstract
BackgroundClonal hematopoiesis of indeterminate potential (CHIP) is an age-related somatic mutation associated with incident hematologic cancer. Environmental stressors which, like air pollution, generate oxidative stress at the cellular level, may induce somatic mutations and some mutations may provide a selection advantage for persistence and expansion of specific clones.MethodsWe used data from the Multi-Ethnic Study of Atherosclerosis (MESA) N = 4,379 and the Women's Health Initiative (WHI) N = 7,701 to estimate cross-sectional associations between annual average air pollution concentrations at participant address the year before blood draw using validated spatiotemporal models. We used covariate-adjusted logistic regression to estimate risk of CHIP per interquartile range increases in particulate matter (PM2.5; 4 μg/m3) and nitrogen dioxide (NO2; 10 ppb) as ORs (95% confidence intervals).ResultsPrevalence of CHIP at blood draw (variant allele fraction > 2%) was 4.4% and 8.7% in MESA and WHI, respectively. The most common CHIP driver mutation was in DNMT3A. Neither pollutant was associated with CHIP: ORMESA PM2.5 = 1.00 (0.68-1.45), ORMESA NO2 = 1.05 (0.69-1.61), ORWHI PM2.5 = 0.97 (0.86-1.09), ORWHI NO2 = 0.98 (0.88-1.10); or with DNMT3A-driven CHIP.ConclusionsWe did not find evidence that air pollution contributes to CHIP prevalence in two large observational cohorts.ImpactThis is the first study to estimate associations between air pollution and CHIP.