Preterm birth is the leading cause of perinatal mortality and is associated with long-term adverse health consequences for surviving infants. No effective means for prevention of prematurity currently exists, and with preterm birth rates rising in the United States and worldwide, investigating possible causal mechanisms is a global public health priority. A recent Institute of Medicine Report notes that air pollution exposure may be a significant cause of prematurity, but most published studies are based on population birth registries and lack the individual, clinical data needed to elucidate possible biological mechanisms mediating these epidemiological associations. This proposed work presents a unique opportunity to study those mechanisms in a new cohort of 800 pregnant women residing in diverse regions of Mexico City, a mega-city with high air pollution levels. The investigators will advance the understanding of prematurity by investigating how air pollution and inflammation may act together to influence the outcome of pregnancy, and whether certain periods of gestation represent critical time windows and opportunities for preventive interventions, both clinical and environmental. The investigators will obtain biomarkers relevant to inflammation and preterm delivery (IL-1?, IL-1ra, IL-6, IL-8, IL-10, TNF-a) in cervico-vaginal exudates provided by participants monthly during their pregnancies, along with information on infections, health history, clinical characteristics, diet and time-activity patterns. State-of-the-art exposure assessment techniques will be used to evaluate spatial and temporal variability in air pollution exposure using data from the Mexico City Metropolitan Area (MCMA) air quality monitoring network (PM2.5, PM10, ozone, nitrogen dioxide, sulfur dioxide, carbon monoxide), matched to locations of participants'homes. At birth, DNA samples from mother and infant will be used to type three genetic cytokine polymorphisms (TNF-a, IL-1?, IL- 1ra) that have been associated with enhanced risk of preterm birth. The investigators will evaluate whether ambient pollution is associated with preterm birth, controlling for other risk factors;whether they are associated with cytokines during pregnancy, and which time windows are most relevant. The investigators will examine effect modification by intake of antioxidant vitamins (E and C) and cytokine polymorphisms. Finally, the investigators will complement this epidemiological study with a parallel toxicology in vitro study which will involve collecting and characterizing air pollution particle samples (PM10 and PM2.5) on a monthly basis from five zones in MCMA and exposing a monocytic cell line (J774A.1) to evaluate expression of the same cytokines. Any coherence between the human and in vitro evidence for a mechanistic association between pollution and these mediating molecules will guide future studies. This multi-disciplinary, global health collaboration will evaluate potential environmental and clinical determinants of preterm delivery, with the goal of developing unique knowledge with far-reaching prevention implications.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Research Project (R01)
Project #
5R01ES016932-04
Application #
8079052
Study Section
Special Emphasis Panel (ZES1-JAB-C (R2))
Program Officer
Gray, Kimberly A
Project Start
2008-09-15
Project End
2013-05-31
Budget Start
2011-06-01
Budget End
2012-05-31
Support Year
4
Fiscal Year
2011
Total Cost
$383,534
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Elkin, Elana R; O'Neill, Marie S (2017) Trends in Environmental Tobacco Smoke (ETS) Exposure and Preterm Birth: Use of Smoking Bans and Direct ETS Exposure Assessments in Study Designs. Chem Res Toxicol 30:1376-1383
Sánchez, Brisa N; Kim, Sehee; Sammel, Mary D (2017) Estimators for longitudinal latent exposure models: examining measurement model assumptions. Stat Med 36:2048-2066
Zhang, Zhenzhen; O'Neill, Marie S; Sánchez, Brisa N (2016) Using a latent variable model with non-constant factor loadings to examine PM2.5constituents related to secondary inorganic aerosols. Stat Modelling 16:91-113
Manzano-León, Natalia; Serrano-Lomelin, Jesús; Sánchez, Brisa N et al. (2016) TNF? and IL-6 Responses to Particulate Matter in Vitro: Variation According to PM Size, Season, and Polycyclic Aromatic Hydrocarbon and Soil Content. Environ Health Perspect 124:406-12
Rivera-González, Luis O; Zhang, Zhenzhen; Sánchez, Brisa N et al. (2015) An assessment of air pollutant exposure methods in Mexico City, Mexico. J Air Waste Manag Assoc 65:581-91
Hajat, Anjum; Hsia, Charlene; O'Neill, Marie S (2015) Socioeconomic Disparities and Air Pollution Exposure: a Global Review. Curr Environ Health Rep 2:440-50
Castillo-Castrejon, Marisol; Meraz-Cruz, Noemí; Gomez-Lopez, Nardhy et al. (2014) Choriodecidual cells from term human pregnancies show distinctive functional properties related to the induction of labor. Am J Reprod Immunol 71:86-93
Zhang, Kai; Li, Yun; Schwartz, Joel D et al. (2014) What weather variables are important in predicting heat-related mortality? A new application of statistical learning methods. Environ Res 132:350-9
White-Newsome, Jalonne L; McCormick, Sabrina; Sampson, Natalie et al. (2014) Strategies to reduce the harmful effects of extreme heat events: a four-city study. Int J Environ Res Public Health 11:1960-88
Zhang, Kai; Chen, Yeh-Hsin; Schwartz, Joel D et al. (2014) Using forecast and observed weather data to assess performance of forecast products in identifying heat waves and estimating heat wave effects on mortality. Environ Health Perspect 122:912-8

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