Summary of Study ST001491

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 PR001009. The data can be accessed directly via it's Project DOI: 10.21228/M88H6T 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.

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Study IDST001491
Study TitleGlobal Urine Metabolic Profiling to Predict Gestational Age in Term and Preterm Pregnancies
Study SummaryAssessment of gestational age (GA) is key to provide optimal care during pregnancy. However, its accurate determination remains challenging in low- and middle-resource countries, where access to obstetric ultrasound is limited. Hence, there is an urgent need to develop clinical approaches that allow accurate and inexpensive estimation of GA. We investigated the ability of urinary metabolites to predict GA at time of collection in a diverse multi-site cohort (n = 99) using a broad-spectrum liquid chromatography coupled with mass spectrometry (LC-MS) platform. Our approach detected a myriad of steroid hormones and their derivatives including estrogens, progesterones, corticosteroids and androgens that associated with pregnancy progression. We developed a prediction model that predicted GA with high accuracy using the levels of three metabolites (rho = 0.87, .RMSE = 1.58 weeks). These predictions were robust irrespective of whether the pregnancy went to term or ended prematurely. Overall, we demonstrate the feasibility of implementing urine collection for metabolomics analysis in large-scale multi-site studies and we report a predictive model of GA with a potential clinical value.
Institute
Stanford University
Last NameContrepois
First NameKevin
Address300 Pasteur Dr
Emailkcontrep@stanford.edu
Phone6506664538
Submit Date2020-09-27
Raw Data AvailableYes
Raw Data File Type(s)raw(Thermo)
Analysis Type DetailLC-MS
Release Date2022-05-16
Release Version1
Kevin Contrepois Kevin Contrepois
https://dx.doi.org/10.21228/M88H6T
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Factors:

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

mb_sample_id local_sample_id Site GA_delivery GA_sampling
SA12570859Bangladesh 24 17
SA125709162Bangladesh 24 17
SA12571089Bangladesh 29 13
SA125711126Bangladesh 29 13
SA125712146Bangladesh 29 15
SA12571381Bangladesh 29 15
SA12571445Bangladesh 29 15
SA12571520Bangladesh 29 15
SA12571622Bangladesh 30 13
SA12571747Bangladesh 30 13
SA12571814Bangladesh 31 11
SA12571976Bangladesh 31 11
SA12572061Bangladesh 31 15
SA125721163Bangladesh 31 15
SA125722106Bangladesh 31 16
SA125723122Bangladesh 31 16
SA12572470Bangladesh 31 8
SA125725172Bangladesh 31 8
SA125726165Bangladesh 33 17
SA12572712Bangladesh 33 17
SA125728153Bangladesh 41 11
SA12572992Bangladesh 41 11
SA125730114Bangladesh 41 13
SA12573150Bangladesh 41 13
SA12573278Bangladesh 41 13
SA125733105Bangladesh 41 13
SA12573495Bangladesh 41 15
SA125735137Bangladesh 41 15
SA125736112Bangladesh 41 16
SA125737159Bangladesh 41 16
SA12573842Bangladesh 41 16
SA12573926Bangladesh 41 16
SA12574019Bangladesh 41 16
SA12574148Bangladesh 41 16
SA125742102Bangladesh 41 17
SA12574329Bangladesh 41 17
SA12574473Bangladesh 41 18
SA125745169Bangladesh 41 18
SA12574674Bangladesh 41 8
SA125747135Bangladesh 41 8
SA125688118Bangladesh_GAPPS 29 12
SA125689113Bangladesh_GAPPS 32 11
SA125690158Bangladesh_GAPPS 33 12
SA12569117Bangladesh_GAPPS 33 13
SA1256924Bangladesh_GAPPS 33 13
SA12569339Bangladesh_GAPPS 33 15
SA12569430Bangladesh_GAPPS 34 11
SA12569596Bangladesh_GAPPS 35 11
SA125696100Bangladesh_GAPPS 36 11
SA12569758Bangladesh_GAPPS 36 11
SA12569894Bangladesh_GAPPS 39 13
SA12569923Bangladesh_GAPPS 39 19
SA12570064Bangladesh_GAPPS 40 11
SA12570188Bangladesh_GAPPS 40 11
SA125702157Bangladesh_GAPPS 40 12
SA12570362Bangladesh_GAPPS 40 12
SA125704154Bangladesh_GAPPS 40 12
SA12570543Bangladesh_GAPPS 40 12
SA125706132Bangladesh_GAPPS 40 12
SA125707143Bangladesh_GAPPS 40 12
SA1257487Pakistan 28 9
SA125749140Pakistan 28 9
SA12575080Pakistan 32 17
SA12575167Pakistan 32 17
SA12575269Pakistan 32 8
SA12575355Pakistan 32 8
SA12575466Pakistan 32 9
SA125755155Pakistan 32 9
SA12575682Pakistan 33 10
SA125757160Pakistan 33 10
SA12575818Pakistan 33 12
SA12575933Pakistan 33 12
SA12576011Pakistan 33 16
SA125761147Pakistan 33 16
SA12576237Pakistan 33 17
SA12576315Pakistan 33 17
SA125764170Pakistan 33 18
SA125765161Pakistan 33 18
SA12576641Pakistan 33 18
SA125767109Pakistan 33 18
SA125768107Pakistan 39 10
SA12576952Pakistan 39 10
SA12577097Pakistan 39 12
SA125771119Pakistan 39 12
SA12577253Pakistan 39 17
SA12577331Pakistan 39 17
SA125774144Pakistan 39 18
SA12577572Pakistan 39 18
SA125776104Pakistan 39 8
SA125777167Pakistan 39 8
SA12577834Pakistan 39 9
SA125779120Pakistan 39 9
SA12578083Pakistan 39 9
SA125781166Pakistan 39 9
SA125782164Pakistan 40 16
SA1257839Pakistan 40 16
SA125784124Pakistan 40 17
SA125785134Pakistan 40 17
SA125786139Pakistan 40 18
SA125787127Pakistan 40 18
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