Summary of Study ST000909

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 PR000630. The data can be accessed directly via it's Project DOI: 10.21228/M87H6H 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 IDST000909
Study TitleMetabolomics Linking Air Pollution, Obesity and Type 2 Diabetes
Study TypeUntargeted high-resolution mass spectrometry profiling
Study SummaryThe overall goal of this proposal is to use blood non-targeted high resolution metabolomics (HRM) to investigate the hypothesis that regional air pollution (NO2, PM2.5 and O3) and traffic-related air pollution exposures (traffic-related particulate matter components including EC2.5 and PM2.5 transition metals, and CALINE model-predicted NOx) alter key metabolic pathway(s) and that these alterations are associated with obesity and type 2 diabetes-related traits during the important developmental period of adolesence in the ongoing prospective Chidlren's Health study (CHS). Specific Aim 1 will examine the adverse impact of environmental chemicals in fasting blood samples measured by HRM on obesity (i.e., total body fat and body mass index (BMI)), metabolic dysfunction (e.g., fasting glucose and insulin concentrations and insulin resistance), and obesity-induced inflammation (i.e., leptin) among 104 Southern California adolescents enrolled in the CHS. Specific Aim 2 will examine associations of childhood exposures to PM2.5 and traffic-related air pollutants (i.e., CALINE model-predicted NOx) with biological metabolites identified in fasting blood samples using HRM among 104 adolescents in the CHS. Specific Aim 3 will investigate the metabolic pathways linking air pollution exposures and obesity and type 2 diabetes-related traits using pathway analysis under bayesian hierarchical model among 104 adolescents in the CHS.
Institute
Emory University
DepartmentSchool of Medicine, Division of Pulmonary, Allergy, Critical Care Medicine
LaboratoryClincal Biomarkers Laboratory
Last NameWalker
First NameDouglas
Address615 Michael St. Ste 225, Atlanta, GA, 30322, USA
Emaildouglas.walker@emory.edu
Phone(404) 727 5984
Submit Date2017-12-05
Total Subjects104
Study CommentsBoth CHEAR and Clinical Biomarker Laboratory pooled plasma samples were used for quality control. Study specific sample pools were not created
Raw Data File Type(s)mzXML
Chear StudyYes
Analysis Type DetailLC-MS
Release Date2020-09-12
Release Version1
Douglas Walker Douglas Walker
https://dx.doi.org/10.21228/M87H6H
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Factors:

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

mb_sample_id local_sample_id HRM_Sample_Type
SA053064q3June2014_4bQuality Control
SA053065q3June2014_5aQuality Control
SA053066chearplasma_5aQuality Control
SA053067chearplasma_5bQuality Control
SA053068chearplasma_4fQuality Control
SA053069chearplasma_5cQuality Control
SA053070chearplasma_1dQuality Control
SA053071chearplasma_4bQuality Control
SA053072chearplasma_5dQuality Control
SA053073chearplasma_3bQuality Control
SA053074chearplasma_4eQuality Control
SA053075q3June2014_3aQuality Control
SA053076chearplasma_2aQuality Control
SA053077chearplasma_2bQuality Control
SA053078chearplasma_2fQuality Control
SA053079chearplasma_2eQuality Control
SA053080q3June2014_2aQuality Control
SA053081q3June2014_1bQuality Control
SA053082chearplasma_1cQuality Control
SA053083q3June2014_2bQuality Control
SA053084chearplasma_1eQuality Control
SA053085chearplasma_1fQuality Control
SA053086chearplasma_3aQuality Control
SA053087chearplasma_4aQuality Control
SA053088chearplasma_3cQuality Control
SA053089nist1Quality Control
SA053090chearplasma_5eQuality Control
SA053091chearplasma_4dQuality Control
SA053092q3June2014_4aQuality Control
SA053093chearplasma_2dQuality Control
SA053094chearplasma_2cQuality Control
SA053095chearplasma_5fQuality Control
SA053096q3June2014_5bQuality Control
SA053097chearplasma_3fQuality Control
SA053098q3June2014_1aQuality Control
SA053099q3June2014_3bQuality Control
SA053100chearplasma_3eQuality Control
SA053101chearplasma_1aQuality Control
SA053102chearplasma_1bQuality Control
SA053103nist2Quality Control
SA053104chearplasma_4cQuality Control
SA053105C-10TW8-S-00Study
SA053106C-10XJ2-S-00Study
SA053107C-10VE5-S-00Study
SA053108C-10US5-S-00Study
SA053109C-10WL9-S-00Study
SA053110C-10UG2-S-00Study
SA053111C-10TK4-S-00Study
SA053112C-10WX2-S-00Study
SA053113C-10W00-S-00Study
SA053114C-10XH7-S-00Study
SA053115C-10TA6-S-00Study
SA053116C-10Z23-S-00Study
SA053117C-10X82-S-00Study
SA053118C-10SY4-S-00Study
SA053119C-10TL2-S-00Study
SA053120C-10TX5-S-00Study
SA053121C-10T11-S-00Study
SA053122C-10X09-S-00Study
SA053123C-10YG8-S-00Study
SA053124C-10U93-S-00Study
SA053125C-10WY0-S-00Study
SA053126C-10VR7-S-00Study
SA053127C-10Y65-S-00Study
SA053128C-10UU1-S-00Study
SA053129C-10Z31-S-00Study
SA053130C-10U69-S-00Study
SA053131C-10V35-S-00Study
SA053132C-10WW5-S-00Study
SA053133C-10WB1-S-00Study
SA053134C-10Z15-S-00Study
SA053135C-10WM7-S-00Study
SA053136C-10T03-S-00Study
SA053137C-10YR4-S-00Study
SA053138C-10T94-S-00Study
SA053139C-10Y40-S-00Study
SA053140C-10W18-S-00Study
SA053141C-10YQ6-S-00Study
SA053142C-10V43-S-00Study
SA053143C-10VQ9-S-00Study
SA053144C-10XR5-S-00Study
SA053145C-10U51-S-00Study
SA053146C-10YN2-S-00Study
SA053147C-10YY8-S-00Study
SA053148C-10VB2-S-00Study
SA053149C-10WV7-S-00Study
SA053150C-10TJ6-S-00Study
SA053151C-10T78-S-00Study
SA053152C-10XG9-S-00Study
SA053153C-10YD4-S-00Study
SA053154C-10VY1-S-00Study
SA053155C-10V27-S-00Study
SA053156C-10T86-S-00Study
SA053157C-10VC0-S-00Study
SA053158C-10W91-S-00Study
SA053159C-10UR8-S-00Study
SA053160C-10VM8-S-00Study
SA053161C-10WK1-S-00Study
SA053162C-10V19-S-00Study
SA053163C-10U44-S-00Study
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