Summary of Study ST001681
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 PR001080. The data can be accessed directly via it's Project DOI: 10.21228/M83H5W 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.
| Study ID | ST001681 |
| Study Title | Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset |
| Study Summary | Estimating the time of delivery is of high clinical importance as pre- and post-term deviations are associated with complications for the mother and her offspring. However, current estimation approaches are inaccurate. As pregnancy progresses towards labor, major transitions occur in fetomaternal immune, metabolic, and endocrine systems that culminate in the delivery of the fetus. The comprehensive characterization of metabolic, proteomic and immune cell events that precede the spontaneous onset of labor is a key step to understanding these physiological transitions and identifying predictive biomarkers of parturition. Here, over 7,000 circulating plasma analytes and peripheral immune cell responses collected during the last 100 days of pregnancy were integrated into a multi-omic model that accurately predicted the time to spontaneous onset of labor (R = 0.85, p-value = 1.2e-40, training set; R = 0.81, p-value = 3.9e-7, independent test set). Coordinated fluctuations marked a molecular shift from pregnancy progression to pre-labor onset biology 2–4 weeks before delivery. Our study lays the groundwork for developing blood-based methods for predicting the onset of labor, anchored in mechanisms shared in preterm, term, and postterm pregnancies. |
| Institute | Stanford University |
| Last Name | Contrepois |
| First Name | Kevin |
| Address | 1291 Welch rd, Biomedical innovations building-Room 4400, STANFORD, California, 94305, USA |
| kcontrep@stanford.edu | |
| Phone | 6506664538 |
| Submit Date | 2021-02-02 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2021-07-22 |
| Release Version | 1 |
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Sample Preparation:
| Sampleprep ID: | SP001764 |
| Sampleprep Summary: | Plasma samples were thawed on ice, prepared and analyzed randomly as previously described (Contrepois et al., 2015). Briefly, metabolites were extracted using 1:1:1 acetone:acetonitrile:methanol, evaporated to dryness under nitrogen and reconstituted in 1:1 methanol:water before analysis. Each sample was spiked-in with 15 analytical-grade internal standards (IS). |
