Stephanie M Eick1, Sarah Dee Geiger2, Akram Alshawabkeh3, Max Aung4, Emily Barrett5, Nicole R Bush6, José F Cordero7, Kelly K Ferguson8, John D Meeker9, Ginger L Milne10, Ruby H N Nguyen11, Amy M Padula12, Sheela Sathyanarayana13, Barrett M Welch8, Susan L Schantz14, Tracey J Woodruff12, Rachel Morello-Frosch15. 1. Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA. Electronic address: stephanie.marie.eick@emory.edu. 2. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA. 3. Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA. 4. Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. 5. Environmental and Occupational Health Sciences Institute, Rutgers School of Public Health, Rutgers University, Piscataway, NJ 08854, USA. 6. Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Pediatrics, University of California, San Francisco, San Francisco, CA 94143, USA. 7. Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA 30606, USA. 8. Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Durham, NC 27709, USA. 9. Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA. 10. Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA. 11. Division of Epidemiology & Community Health, University of Minnesota School of Public Health, Minneapolis, MN 55454, USA. 12. Program on Reproductive Health and the Environment, University of California, San Francisco, San Francisco, CA 94143, USA. 13. Department of Pediatrics, Seattle Children's Research Institute, University of Washington, Seattle, WA, USA. 14. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Department of Comparative Biosciences, University of Illinois at Urbana-Champaign, Urbana, IL 61802, USA. 15. Program on Reproductive Health and the Environment, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Environmental Science, Policy and Management and School of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA.
Abstract
BACKGROUND: Lower socioeconomic status (SES) and elevated psychosocial stress are known contributors to adverse pregnancy outcomes; however, biological mechanisms linking these factors to adverse pregnancy outcomes are not well-characterized. Oxidative stress may be an important, yet understudied mechanistic pathway. We used a pooled study design to examine biological, behavioral, and social factors as predictors of prenatal oxidative stress biomarkers. METHODS: Leveraging four pregnancy cohorts from the Environmental influences on Child Health Outcomes (ECHO) Program spanning multiple geographic regions across the United States (U.S.) (N = 2082), we measured biomarkers of oxidative stress in urine samples at up to three time points during pregnancy, including 8-isoprostane-prostaglandin F2α (8-isoPGF2α), its major metabolite, 2,3-dinor-5,6-dihydro-15-F2t-isoprostane, and prostaglandin F2α (PGF2α). Maternal age, pre-pregnancy body mass index, marital/partnered status, parity, and smoking status were included as biological and behavioral factors while race/ethnicity, maternal education, and stressful life events were considered social factors. We examined associations between each individual biological, behavioral, and social factor with oxidative stress biomarkers using multivariable-adjusted linear mixed models. RESULTS: Numerous biological, behavioral, and social factors were associated with elevated levels of 8-isoPGF2α, its major metabolite, and PGF2α. Pregnant people who were current smokers relative to non-smokers or had less than a high school education relative to a college degree had 11.04% (95% confidence interval [CI] = -1.97%, 25.77%) and 9.13% (95% CI = -1.02%, 20.32%) higher levels of 8-isoPGF2α, respectively. CONCLUSIONS: Oxidative stress biomarkers are elevated among pregnant people with higher socioeconomic disadvantage and may represent one pathway linking biological, behavioral, and social factors to adverse pregnancy and child health outcomes, which should be explored in future work.
BACKGROUND: Lower socioeconomic status (SES) and elevated psychosocial stress are known contributors to adverse pregnancy outcomes; however, biological mechanisms linking these factors to adverse pregnancy outcomes are not well-characterized. Oxidative stress may be an important, yet understudied mechanistic pathway. We used a pooled study design to examine biological, behavioral, and social factors as predictors of prenatal oxidative stress biomarkers. METHODS: Leveraging four pregnancy cohorts from the Environmental influences on Child Health Outcomes (ECHO) Program spanning multiple geographic regions across the United States (U.S.) (N = 2082), we measured biomarkers of oxidative stress in urine samples at up to three time points during pregnancy, including 8-isoprostane-prostaglandin F2α (8-isoPGF2α), its major metabolite, 2,3-dinor-5,6-dihydro-15-F2t-isoprostane, and prostaglandin F2α (PGF2α). Maternal age, pre-pregnancy body mass index, marital/partnered status, parity, and smoking status were included as biological and behavioral factors while race/ethnicity, maternal education, and stressful life events were considered social factors. We examined associations between each individual biological, behavioral, and social factor with oxidative stress biomarkers using multivariable-adjusted linear mixed models. RESULTS: Numerous biological, behavioral, and social factors were associated with elevated levels of 8-isoPGF2α, its major metabolite, and PGF2α. Pregnant people who were current smokers relative to non-smokers or had less than a high school education relative to a college degree had 11.04% (95% confidence interval [CI] = -1.97%, 25.77%) and 9.13% (95% CI = -1.02%, 20.32%) higher levels of 8-isoPGF2α, respectively. CONCLUSIONS: Oxidative stress biomarkers are elevated among pregnant people with higher socioeconomic disadvantage and may represent one pathway linking biological, behavioral, and social factors to adverse pregnancy and child health outcomes, which should be explored in future work.
Authors: Thomas J van 't Erve; Fred B Lih; Maria B Kadiiska; Leesa J Deterding; Ronald P Mason Journal: Free Radic Biol Med Date: 2017-11-21 Impact factor: 7.376
Authors: Sarah L Szanton; Joseph M Rifkind; Joy G Mohanty; Edgar R Miller; Roland J Thorpe; Eneka Nagababu; Elissa S Epel; Alan B Zonderman; Michele K Evans Journal: Int J Behav Med Date: 2012-12
Authors: Thomas J Van't Erve; Fred B Lih; Casey Jelsema; Leesa J Deterding; Thomas E Eling; Ronald P Mason; Maria B Kadiiska Journal: Free Radic Biol Med Date: 2016-03-08 Impact factor: 7.376
Authors: Stephanie M Eick; Emily S Barrett; Thomas J van 't Erve; Ruby H N Nguyen; Nicole R Bush; Ginger Milne; Shanna H Swan; Kelly K Ferguson Journal: Paediatr Perinat Epidemiol Date: 2018-03-30 Impact factor: 3.980