Dose-dependent relationship between prenatal exposure to fine particulates and exhaled carbon monoxide in

Wiesław A Jędrychowski1, Umberto Maugeri, John Spengler

  • 1Epidemiology and Preventive Medicine, Jagiellonian University Medical College, Kraków, Poland. myjedryc@cyf-kr.edu.pl

Insights

Prenatal exposure to fine particulate matter (PM2.5) is linked to higher exhaled carbon monoxide (eCO) levels in children, suggesting fetal oxidative stress may program heme oxygenase activity.

Area of Science:

  • Environmental Health
  • Pediatric Pulmonology
  • Biomarkers of Exposure

Background:

  • Prenatal exposure to fine particulate matter (PM2.5) is a growing concern for child health.
  • Exhaled carbon monoxide (eCO) is a potential non-invasive biomarker of oxidative stress.
  • Understanding the early-life origins of health outcomes is crucial for preventative strategies.

Purpose of the Study:

  • To investigate the association between fetal exposure to PM2.5 and eCO levels in non-asthmatic children.
  • To explore potential contributing factors and confounders in this relationship.

Main Methods:

  • A cohort of 118 children was studied from birth.
  • Prenatal PM2.5 exposure was measured using personal samplers.
  • Exhaled carbon monoxide (eCO) was measured at age 7.
  • Statistical models accounted for confounders like environmental tobacco smoke (ETS) and respiratory symptoms.

Main Results:

  • A significant positive association was found between prenatal PM2.5 exposure and eCO levels (p = 0.042).
  • Atopic children exhibited higher eCO levels compared to non-atopic children (p = 0.036).
  • Prenatal PM2.5 exposure explained 5.1% of the variability in eCO levels.

Conclusions:

  • Elevated eCO in children may stem from fetal oxidative stress due to PM2.5 exposure.
  • Heme oxygenase (HO) activity might be programmed during fetal development by fine particulate matter exposure.
  • This suggests a potential long-term programming effect of early-life environmental exposures on cellular stress pathways.
Abstract

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