# Effects of e-cigarette exposure during pregnancy on offspring lung function and disease: Characterization of pulmonary, intergenerational, and epigenetic effects

> **NIH NIH R01** · OREGON HEALTH & SCIENCE UNIVERSITY · 2021 · $485,573

## Abstract

Abstract
Reflecting the highly addictive nature of nicotine, 10-12% of American women smoke during pregnancy.
Maternal smoking during pregnancy alters normal lung development to produce lifelong decreases in offspring
pulmonary function and increased risk of respiratory diseases. Work from our laboratory and others has
shown that almost all the effects of maternal smoking during pregnancy on lung development are mediated by
nicotine crossing the placenta to interact with nicotinic receptors in developing lung. This strongly suggests
that use of e-cigarettes during pregnancy will have significant detrimental effects on lung development and
offspring lung disease; and worse, that nicotine addiction will drive pregnant e-cigarette users to continue use
during pregnancy. Further, as well as causing lifelong changes in offspring pulmonary function, in-utero
nicotine exposure also appears to alter pulmonary function in subsequent generations, most likely through
epigenetic mechanisms. This makes it critically important to characterize the effects of in-utero e-cigarette
exposure on offspring lung development and function. Thus, the overall objective of this application is to use a
mouse model to characterize the effects of perinatal e-cigarette exposure on offspring pulmonary function and
disease and the potential for intergenerational transmittal of the respiratory harms of in-utero e-cigarette
exposure. This application represents a collaboration between two outstanding groups, the Pinkerton
laboratory which is a world leader in respiratory exposures and the Spindel laboratory, a world leader in the
pulmonary effects of in utero nicotine exposure. Our specific aims are as follows:
 Aim 1. To characterize the direct effect of maternal in-utero e-cigarette exposure on first generation
(F1) offspring pulmonary function, respiratory disease and epigenetic changes. This will be done by
exposing pregnant BALB/c mice to filtered air, e-cigarettes without nicotine and e-cigarettes with nicotine from
gestation day 1 to postnatal day 7 and effects on lung analyzed at 8 weeks of age. In addition, the effects of
in-utero exposures on asthma susceptibility will be analyzed using sensitization to house dust mite antigen.
 Aim 2. To characterize the intergenerational effect of grand-maternal in-utero e-cigarette exposure
on second generation (F2) offspring pulmonary function, respiratory disease and epigenetic changes.
This will be done as for aim1, but intergenerational effects on the F2 generation will be determined.
 Aim 3. To characterize the additive, multigenerational effect of both grand-maternal and maternal
in-utero e-cigarette exposure on offspring pulmonary function, respiratory disease and epigenetic
changes. It is an unfortunate fact that children of smokers are more likely to smoke than children of non-
smokers; thus, we will test for the potential of additive harms of multigenerational in-utero e-cigarette exposure.
 Together these aims will provide ...

## Key facts

- **NIH application ID:** 10249200
- **Project number:** 5R01HL144384-04
- **Recipient organization:** OREGON HEALTH & SCIENCE UNIVERSITY
- **Principal Investigator:** KENT Ed PINKERTON
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $485,573
- **Award type:** 5
- **Project period:** 2018-09-14 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10249200

## Citation

> US National Institutes of Health, RePORTER application 10249200, Effects of e-cigarette exposure during pregnancy on offspring lung function and disease: Characterization of pulmonary, intergenerational, and epigenetic effects (5R01HL144384-04). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10249200. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*
