Science Inventory

Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia

Citation:

Chao, A., J. Grossman, C. Carberry, Y. Lai, A. Williams, J. Minucci, S. Purucker, J. Szilagyi, K. Lu, K. Boggess, R. Fry, J. Sobus, AND J. Rager. Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, Netherlands, 167:107385, (2022). https://doi.org/10.1016/j.envint.2022.107385

Impact/Purpose:

Pregnancy represents a time period of high risk to exposure chemicals for both the mother and developing fetus, but the understanding of the fetal exposome is very limited. Preeclampsia is a disease that affects up to 8% of pregnancies worldwide, but still has unknown causes. In this study, placental samples from both normotensive and preeclamptic pregnancies were analyzed by non-targeted analysis to identify chemicals present, and by transcriptomic/epigenomic analyses to identify biological -omic changes. Statistical analyses were performed to link both chemicals and -omics changes to the preeclampsia outcome. This work represents a broader characterization of the fetal exposome than previously known, as well as identifies chemicals and biological molecules potentially related to the preeclampsia disease.

Description:

Background Environmental health research has recently undergone a dramatic shift, with ongoing technological advancements allowing for broader coverage of exposure and molecular biology signatures. Approaches to integrate such measures are still needed to increase understanding between systems-level exposure and biology. Objectives We address this gap by evaluating placental tissues to identify novel chemical-biological interactions associated with preeclampsia. This study tests the hypothesis that understudied chemicals are present in the human placenta and associated with preeclampsia-relevant disruptions, including overall case status (preeclamptic vs. normotensive patients) and underlying transcriptomic/epigenomic signatures. Methods A non-targeted analysis based on high-resolution mass spectrometry was used to analyze placental tissues from a cohort of 35 patients with preeclampsia (n¿=¿18) and normotensive (n¿=¿17) pregnancies. Molecular feature data were prioritized for confirmation based on association with preeclampsia case status and confidence of chemical identification. All molecular features were evaluated for relationships to mRNA, microRNA, and CpG methylation (i.e., multi-omic) signature alterations involved in preeclampsia. Results A total of 183 molecular features were identified with significantly differentiated abundance in placental extracts of preeclamptic patients; these features clustered into distinct chemical groupings using unsupervised methods. Of these features, 53 were identified (mapping to 40 distinct chemicals) using chemical standards, fragmentation spectra, and chemical metadata. In general, human metabolites had the largest feature intensities and strongest associations with preeclampsia-relevant multi-omic changes. Exogenous drugs were second most abundant and had fewer associations with multi-omic changes. Other exogenous chemicals (non-drugs) were least abundant and had the fewest associations with multi-omic changes. Conclusions These global data trends suggest that human metabolites are heavily intertwined with biological processes involved in preeclampsia etiology, while exogenous chemicals may still impact select transcriptomic/epigenomic processes. This study serves as a demonstration of merging systems exposures with systems biology to better understand chemical-disease relationships.

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:08/08/2022
Record Last Revised:08/19/2022
OMB Category:Other
Record ID: 355478