Summary of Study ST002151

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001364. The data can be accessed directly via it's Project DOI: 10.21228/M8DD7D This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

Show all samples  
Download mwTab file (text)   |  Download mwTab file(JSON)   |  Download data files (Contains raw data)
Study IDST002151
Study TitleIntegrative Exposomic, Transcriptomic, Epigenomic Analyses of Human Placental Samples Links Understudied Chemicals to Preeclampsia
Study SummaryBackground 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 queried against chemicals within the U.S. Environmental Protection Agency’s DSSTox database, and 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.
Institute
EPA
Last NameChao
First NameAlex
Address109 TW Alexander Drive, Durham, NC 27709, USA
Emailchao.alex@epa.gov
Phone9195414261
Submit Date2022-04-22
Raw Data AvailableYes
Raw Data File Type(s)mzdata.xml, mgf, mzML
Analysis Type DetailLC-MS
Release Date2022-05-09
Release Version1
Alex Chao Alex Chao
https://dx.doi.org/10.21228/M8DD7D
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:

Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Treatment
SA206151Blank_Negative_MS_UNC_2blank
SA206152Blank_Negative_MS_UNC_3blank
SA206153Blank_Negative_MS_UNC_1blank
SA206154Blank_Positive_MS_UNC_1blank
SA206155Blank_Positive_MS_UNC_2blank
SA206156Blank_Positive_MS_UNC_3blank
SA205981Blank_Negative_3Blank
SA205982Method Blank_Negative_1Blank
SA205983Method Blank_Negative_2Blank
SA205984Blank_Positive_1Blank
SA205985Method Blank_Negative_3Blank
SA205986Blank_Negative_2Blank
SA205987Blank_Negative_1Blank
SA205988Blank_Positive_2Blank
SA205989Method Blank_Positive_3Blank
SA205990Blank_Positive_3Blank
SA205991Method Blank_Positive_2Blank
SA205992Method Blank_Positive_1Blank
SA205993P12_Negative_1Control
SA205994P12_Negative_2Control
SA205995P11_Negative_3Control
SA205996P10_Negative_3Control
SA205997P10_Negative_1Control
SA205998P10_Negative_2Control
SA205999P12_Negative_3Control
SA206000P11_Negative_1Control
SA206001P11_Negative_2Control
SA206002P13_Negative_3Control
SA206003P14_Negative_3Control
SA206004P15_Negative_1Control
SA206005P15_Negative_2Control
SA206006P9_Negative_3Control
SA206007P14_Negative_2Control
SA206008P13_Negative_2Control
SA206009P14_Negative_1Control
SA206010P13_Negative_1Control
SA206011P5_Negative_2Control
SA206012P2_Negative_3Control
SA206013P3_Negative_1Control
SA206014P3_Negative_2Control
SA206015P3_Negative_3Control
SA206016P2_Negative_2Control
SA206017P2_Negative_1Control
SA206018P1_Negative_1Control
SA206019P1_Negative_2Control
SA206020P1_Negative_3Control
SA206021P4_Negative_1Control
SA206022P4_Negative_2Control
SA206023P8_Negative_2Control
SA206024P8_Negative_3Control
SA206025P9_Negative_1Control
SA206026P8_Negative_1Control
SA206027P5_Negative_3Control
SA206028P4_Negative_3Control
SA206029P5_Negative_1Control
SA206030P15_Negative_3Control
SA206031P9_Negative_2Control
SA206032P18_Negative_2Control
SA206033P3_Negative_MSMSControl
SA206034P4_Negative_MSMSControl
SA206035P5_Negative_MSMSControl
SA206036P8_Negative_MSMSControl
SA206037P2_Negative_MSMSControl
SA206038P1_Negative_MSMSControl
SA206039P17_Positive_MSMSControl
SA206040P18_Positive_MSMSControl
SA206041P19_Positive_MSMSControl
SA206042P20_Positive_MSMSControl
SA206043P9_Negative_MSMSControl
SA206044P10_Negative_MSMSControl
SA206045P17_Negative_MSMSControl
SA206046P18_Negative_MSMSControl
SA206047P19_Negative_MSMSControl
SA206048P20_Negative_MSMSControl
SA206049P15_Negative_MSMSControl
SA206050P14_Negative_MSMSControl
SA206051P11_Negative_MSMSControl
SA206052P12_Negative_MSMSControl
SA206053P13_Negative_MSMSControl
SA206054P15_Positive_MSMSControl
SA206055P14_Positive_MSMSControl
SA206056P19_Negative_3Control
SA206057P20_Negative_1Control
SA206058P20_Negative_2Control
SA206059P20_Negative_3Control
SA206060P19_Negative_1Control
SA206061P18_Negative_3Control
SA206062P17_Negative_2Control
SA206063P17_Negative_3Control
SA206064P18_Negative_1Control
SA206065P1_Positive_MSMSControl
SA206066P2_Positive_MSMSControl
SA206067P10_Positive_MSMSControl
SA206068P11_Positive_MSMSControl
SA206069P12_Positive_MSMSControl
SA206070P13_Positive_MSMSControl
SA206071P9_Positive_MSMSControl
SA206072P8_Positive_MSMSControl
SA206073P3_Positive_MSMSControl
SA206074P4_Positive_MSMSControl
Showing page 1 of 4     Results:    1  2  3  4  Next     Showing results 1 to 100 of 344
  logo