Summary of Study ST001948
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 PR001235. The data can be accessed directly via it's Project DOI: 10.21228/M82T49 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Study ID | ST001948 |
Study Title | Metabolites Associated with Gestational Diabetes in Plasma |
Study Type | Case:Control ancillary analysis of RCT |
Study Summary | Gestational diabetes mellitus (GDM) significantly increases maternal and fetal health risks, but factors predictive of GDM are poorly understood. Plasma metabolomics analyses were conducted in early pregnancy to identify potential biomarkers for early prediction of Gestational Diabetes Mellitus (GDM). Sixty-eight pregnant women with overweight/obesity from a clinical trial of a lifestyle intervention were included. Participants who developed GDM (n=34; GDM group) were matched on treatment group, age, body mass index, and ethnicity with those who did not develop GDM (n=34; Non-GDM group). Blood draws were completed early in pregnancy (10-16 weeks). Plasma samples were analyzed by UPLC-MS using three metabolomics assays. |
Institute | California Polytechnic State University |
Department | Food Science and Nutrition |
Laboratory | Cal Poly Metabolomics Service Center |
Last Name | La Frano |
First Name | Michael |
Address | CALIFORNIA POLYTECHNIC STATE UNIVERSITY, 1 GRAND AVE |
mlafrano@calpoly.edu | |
Phone | 18057566233 |
Submit Date | 2021-10-13 |
Num Groups | 2 |
Total Subjects | 68 |
Num Females | 68 |
Raw Data Available | Yes |
Raw Data File Type(s) | mzML |
Analysis Type Detail | LC-MS |
Release Date | 2021-11-04 |
Release Version | 1 |
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Project:
Project ID: | PR001235 |
Project DOI: | doi: 10.21228/M82T49 |
Project Title: | Metabolites Associated with Gestational Diabetes in Plasma |
Project Summary: | Gestational diabetes mellitus (GDM) significantly increases maternal and fetal health risks, but factors predictive of GDM are poorly understood. Plasma metabolomics analyses were conducted in early pregnancy to identify potential biomarkers for early prediction of Gestational Diabetes Mellitus (GDM). Sixty-eight pregnant women with overweight/obesity from a clinical trial of a lifestyle intervention were included. Participants who developed GDM (n=34; GDM group) were matched on treatment group, age, body mass index, and ethnicity with those who did not develop GDM (n=34; Non-GDM group). Blood draws were completed early in pregnancy (10-16 weeks). Plasma samples were analyzed by UPLC-MS using three metabolomics assays. |
Institute: | Cal Poly St. Univ., San Luis Obispo |
Department: | Food Science and Nutrition |
Laboratory: | Cal Poly Metabolomics Service Center |
Last Name: | La Frano |
First Name: | Michael |
Address: | CALIFORNIA POLYTECHNIC STATE UNIVERSITY, 1 GRAND AVE, SAN LUIS OBISPO, CA, 93407, USA |
Email: | mlafrano@calpoly.edu |
Phone: | 7143602022 |
Funding Source: | NHLBI; HL114377, California State University Agricultural Research Institute 18-03-011, |