Summary of project PR000823
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 PR000823. The data can be accessed directly via it's Project DOI: 10.21228/M89D5Q This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Project ID: | PR000823 |
Project DOI: | doi: 10.21228/M89D5Q |
Project Title: | Fish-oil supplementation in pregnancy, child metabolomics and asthma risk |
Project Type: | Untargeted metabolomics |
Project Summary: | We investigated potential metabolic mechanisms using untargeted liquid chromatography-mass spectrometry-based metabolomics on 577 plasma samples collected at age 6 months in the offspring of mothers participating in the n-3 LCPUFA randomised controlled trial. First, associations between the n-3 LCPUFA supplementation groups and child metabolite levels were investigated using univariate regression models and data-driven partial least square discriminant analyses (PLS-DA). Second, we analysed the association between the n-3 LCPUFA metabolomic profile and asthma development using Cox-regression. Third, we conducted mediation analyses to investigate whether the protective effect of n-3 LCPUFA on asthma was mediated via the metabolome. |
Institute: | University of Copenhagen |
Department: | Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital |
Last Name: | Rago |
First Name: | Daniela |
Address: | Ledreborg Alle 34, Gentofte, DK, 2820, Denmark |
Email: | daniela.rago@dbac.dk |
Phone: | +45-39777360 |
Summary of all studies in project PR000823
Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
---|---|---|---|---|---|---|---|---|
ST001212 | Fish-oil supplementation in pregnancy, child metabolomics and asthma risk | Homo sapiens | University of Copenhagen | MS* | 2019-09-23 | 1 | 577 | Uploaded data (1M) |