• Energy Research

Background The PROTECT Center is a multi-project initiative that studies the relationship between exposure to environmental contaminants and preterm births during the prenatal and postnatal period among women living in Puerto Rico. PROTECT’s Community Engagement Core and Research Translation Coordinator (CEC/RTC) play a key role in building trust and capacity by approaching the cohort as an engaged community that provides feedback about processes, including how personalized results of their exposure to chemicals should be reported back. The goal of the Mi PROTECT platform was to create a mobile-based application of DERBI (Digital Exposure Report-Back Interface) for our cohort that provides tailored, culturally appropriate information about individual contaminant exposures as well as education on chemical substances and approaches to exposure reduction. Methods Participants (N = 61) were presented with commonly used terms in environmental health research related to collected samples and biomarkers, followed by a guided training on accessing and exploring the Mi PROTECT platform. Participants evaluated the guided training and Mi PROTECT platform answering a Likert scale in separated surveys that included 13 and 8 questions, respectively. Results Participants provided overwhelmingly positive feedback on the clarity and fluency of presenters in the report-back training. Most participants reported that the mobile phone platform was both accessible and easy to navigate (83% and 80%, respectively) and that images included in the platform facilitated comprehension of the information. Overall, most participants (83%) reported that language, images, and examples in Mi PROTECT strongly represented them as Puerto Ricans. Conclusions Findings from the Mi PROTECT pilot test informed investigators, community partners and stakeholders by demonstrating a new way to promote stakeholder participation and foster the “research right-to-know.”

Background The PROTECT Center is a multi-project initiative that studies the relationship between exposure to environmental contaminants and preterm births during the prenatal and postnatal period among women living in Puerto Rico. PROTECT’s Community Engagement Core and Research Translation Coordinator (CEC/RTC) play a key role in building trust and capacity by approaching the cohort as an engaged community that provides feedback about processes, including how personalized results of their exposure to chemicals should be reported back. The goal of the Mi PROTECT platform was to create a mobile-based application of DERBI (Digital Exposure Report-Back Interface) for our cohort that provides tailored, culturally appropriate information about individual contaminant exposures as well as education on chemical substances and approaches to exposure reduction. Methods Participants (N = 61) were presented with commonly used terms in environmental health research related to collected samples and biomarkers, followed by a guided training on accessing and exploring the Mi PROTECT platform. Participants evaluated the guided training and Mi PROTECT platform answering a Likert scale in separated surveys that included 13 and 8 questions, respectively. Results Participants provided overwhelmingly positive feedback on the clarity and fluency of presenters in the report-back training. Most participants reported that the mobile phone platform was both accessible and easy to navigate (83% and 80%, respectively) and that images included in the platform facilitated comprehension of the information. Overall, most participants (83%) reported that language, images, and examples in Mi PROTECT strongly represented them as Puerto Ricans. Conclusions Findings from the Mi PROTECT pilot test informed investigators, community partners and stakeholders by demonstrating a new way to promote stakeholder participation and foster the “research right-to-know.”

Humans are exposed to complex mixtures of phthalates. Gestational exposure to phthalates has been linked to preeclampsia and preterm birth through potential pathways such as endocrine disruption, oxidative stress, and inflammation. Eicosanoids are bioactive signaling lipids that are related to a variety of homeostatic and inflammatory processes. We investigated associations between urinary phthalates and their mixtures with plasma eicosanoid levels during pregnancy using the PROTECT cohort in Puerto Rico (N = 655). After adjusting for covariates, we estimated pair-wise associations between the geometric mean of individual phthalate metabolite concentrations across pregnancy and eicosanoid biomarkers using multivariable linear regression. We used bootstrapping of adaptive elastic net regression (adENET) to evaluate phthalate mixtures associated with eicosanoids and subsequently create environmental risk scores (ERS) to represent weighted sums of phthalate exposure for each individual. After adjusting for false-discovery, in single-pollutant analysis, 14 of 20 phthalate metabolites or parent compound indices showed significant and primarily negative associations with multiple eicosanoids. In our mixture analysis, associations with several metabolites of low molecular weight phthalates - DEP, DBP, and DIBP - became prominent. Additionally, MEHHTP and MECPTP, metabolites of a new phthalate replacement, DEHTP, were selected as important predictors for determining the concentrations of multiple eicosanoids from different pathway groups. A unit increase in phthalate ERS derived from bootstrapping of adENET was positively associated with several eicosanoids mainly from Cytochrome P450 pathway. For example, an increase in ERS was associated with 11(S)-HETE (β = 1.6, 95% CI: 0.020, 3.180), (±)11,12-DHET (β = 2.045, 95% CI: 0.250, 3.840), 20(S)-HETE (β = 0.813, 95% CI: 0.147, 1.479), and 9 s-HODE (β = 2.381, 95% CI: 0.657, 4.104). Gestational exposure to phthalates and phthalate mixtures were associated with eicosanoid levels during pregnancy. Results from the mixture analyses underscore the complexity of physiological impacts of phthalate exposure and call for further in-depth studies to examine these relationships.

Humans are exposed to complex mixtures of phthalates. Gestational exposure to phthalates has been linked to preeclampsia and preterm birth through potential pathways such as endocrine disruption, oxidative stress, and inflammation. Eicosanoids are bioactive signaling lipids that are related to a variety of homeostatic and inflammatory processes. We investigated associations between urinary phthalates and their mixtures with plasma eicosanoid levels during pregnancy using the PROTECT cohort in Puerto Rico (N = 655). After adjusting for covariates, we estimated pair-wise associations between the geometric mean of individual phthalate metabolite concentrations across pregnancy and eicosanoid biomarkers using multivariable linear regression. We used bootstrapping of adaptive elastic net regression (adENET) to evaluate phthalate mixtures associated with eicosanoids and subsequently create environmental risk scores (ERS) to represent weighted sums of phthalate exposure for each individual. After adjusting for false-discovery, in single-pollutant analysis, 14 of 20 phthalate metabolites or parent compound indices showed significant and primarily negative associations with multiple eicosanoids. In our mixture analysis, associations with several metabolites of low molecular weight phthalates - DEP, DBP, and DIBP - became prominent. Additionally, MEHHTP and MECPTP, metabolites of a new phthalate replacement, DEHTP, were selected as important predictors for determining the concentrations of multiple eicosanoids from different pathway groups. A unit increase in phthalate ERS derived from bootstrapping of adENET was positively associated with several eicosanoids mainly from Cytochrome P450 pathway. For example, an increase in ERS was associated with 11(S)-HETE (β = 1.6, 95% CI: 0.020, 3.180), (±)11,12-DHET (β = 2.045, 95% CI: 0.250, 3.840), 20(S)-HETE (β = 0.813, 95% CI: 0.147, 1.479), and 9 s-HODE (β = 2.381, 95% CI: 0.657, 4.104). Gestational exposure to phthalates and phthalate mixtures were associated with eicosanoid levels during pregnancy. Results from the mixture analyses underscore the complexity of physiological impacts of phthalate exposure and call for further in-depth studies to examine these relationships.