The United States manufactures and uses high volumes of a vast array of industrial chemicals, over 90% of which are not monitored for their potential toxicities towards human health. We do not have reproductive toxicity data for many of the industrial chemicals detected in the maternal and umbilical cord sera. Exposures to these chemicals, such as pesticides and plasticizers, in utero may adversely impact future reproductive health, particularly in females for whom this period comprises the initial stages of gametogenesis, when the oocyte is forming. Current data show that female reproductive health problems, including infertility and birth defects, affect nearly 12% of women and often are associated with impaired germ cell function. An impediment to identifying and understanding contributing factors is the prolonged delay between toxicant exposure and the manifestation of reproductive perturbations, leading to a paucity of information on reproductive toxicity. In this proposal, we address these needs through a transdisciplinary collaboration to analyze the reproductive effects of industrial chemicals identified in maternal and umbilical cord sera using two different in vivo models of germ cell development. To assay effects on meiosis, we will utilize the yeast Saccharomyces cerevisiae, a unicellular organism in which meiosis is best understood (Dr. Fung lead investigator). We will also utilize Caenorhabditis elegans to further assess toxicity during germ cell development (Dr. Allard lead investigator). Both of these model systems are particularly amenable to integration into high-throughput systems for testing. We will test up to 80 chemicals identified via suspect screening in maternal and infant sera (based on our parent R01, Dr. Woodruff PI) in the two assays. We will compare the results of the two model systems to each other; and evaluate the utility and predictive value of the two model systems with mammalian reproductive endpoints. This project will establish a transdisciplinary dialogue between the three investigators as they share chemical exposure findings (from Dr. Woodruff) to use in the in vivo assays in Drs. Fung's and Allard's labs, and then among the three collaborators as they evaluate the results from the assays and compare them to the mammalian system results. Upon the completion of this project, we will be able to compare findings across two model systems (S. cerevisiae and C. elegans) and to inform the potential for reproductive health risks on the basis of measured prenatal and neonatal exposures. The development of such much-needed model systems will expand our understanding of reproductive toxicity and provide an exciting opportunity for more-rapid screening techniques to more quickly identify which exposures measured in susceptible populations are potential reproductive toxicants. Thus, we will generate critical new data that can more fully inform prevention efforts to reduce harmful chemical risks

Public Health Relevance

Our transdisciplinary collaboration will advance our ability to more quickly assess reproductive effects of industrial chemicals identified in maternal serum and cord sera by using established in vivo models of meiosis that can be integrated into high-throughput systems for testing. By generating predictive models using the information gleaned from the combination of the two model systems, we will be able to better assess reproductive risk of potential toxicants.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Research Project (R01)
Project #
3R01ES027051-02S1
Application #
9455450
Study Section
Special Emphasis Panel (ZES1)
Program Officer
Shreffler, Carol A
Project Start
2016-09-30
Project End
2021-08-31
Budget Start
2018-01-01
Budget End
2018-08-31
Support Year
2
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Obstetrics & Gynecology
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94118
Wang, Aolin; Gerona, Roy R; Schwartz, Jackie M et al. (2018) A Suspect Screening Method for Characterizing Multiple Chemical Exposures among a Demographically Diverse Population of Pregnant Women in San Francisco. Environ Health Perspect 126:077009
Huang, Hongtai; Wang, Aolin; Morello-Frosch, Rachel et al. (2018) Cumulative Risk and Impact Modeling on Environmental Chemical and Social Stressors. Curr Environ Health Rep 5:88-99
Gerona, Roy R; Schwartz, Jackie M; Pan, Janet et al. (2018) Suspect screening of maternal serum to identify new environmental chemical biomonitoring targets using liquid chromatography-quadrupole time-of-flight mass spectrometry. J Expo Sci Environ Epidemiol 28:101-108
Casey, Joan A; Gemmill, Alison; Karasek, Deborah et al. (2018) Increase in fertility following coal and oil power plant retirements in California. Environ Health 17:44
Casey, Joan A; Karasek, Deborah; Ogburn, Elizabeth L et al. (2018) Coal and oil power plant retirements in California associated with reduced preterm birth among populations nearby. Am J Epidemiol :