Summary of study ST001690

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 PR001086. The data can be accessed directly via it's Project DOI: 10.21228/M8B123 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 IDST001690
Study TitleUntargeted metabolomic analysis of human blood samples via qualitative GC-MS for T1D biomarker identification
Study TypeQualitative GC-MS biomarker identification
Study Summary"Blood from human subjects at high risk for T1D (and healthy controls; n=4 each) were subjected to parallel unlabeled proteomics, metabolomics, lipidomics, and transcriptomics. The integrated dataset was analyzed using Ingenuity Pathway Analysis (IPA) software for disturbances in the at-risk subjects compared to the controls. The final quadra-omics dataset contained 2292 proteins, 328 miRNAs, 75 metabolites, and 41 lipids that were detected in all samples. Disease/function enrichment analyses consistently indicated increased activation, proliferation, and migration of immune cells, particularly, CD4 T-lymphocytes and macrophages. Integrated molecular network predictions highlighted central involvement and activation of NF-κB, TGF-β, VEGF, arachidonic acid, and arginase, and inhibition of miRNA Let-7a-5p. Parallel multi-omics provided a comprehensive picture of disturbances in high-risk T1D subjects and helped identify an associated integrated biomarker signature, which could ultimately facilitate the classification of T1D progressors from non-progressors."
Institute
Duke University
DepartmentDuke Molecular Physiology Institute, School of Medicine
LaboratoryMetabolomics
Last NameBain
First NameJames
Address300 N Duke St, Durham, NC, 27701, USA
Emailjames.bain@duke.edu
Phone919 479 2320
Submit Date2021-02-09
Total Subjects9
Raw Data AvailableYes
Analysis Type DetailGC-MS
Release Date2021-06-10
Release Version1
James Bain James Bain
https://dx.doi.org/10.21228/M8B123
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR001086
Project DOI:doi: 10.21228/M8B123
Project Title:Parallel multi-omics in high-risk subjects for the identification of integrated biomarker signatures of type 1 diabetes
Project Type:Untargeted metabolomics: MS qualitative analysis
Project Summary:MS qualitative analysis of human blood samples to identify early-identification biomarkers for type 1 diabetes
Institute:Duke University
Department:Duke Molecular Physiology Institute, School of Medicine
Laboratory:Metabolomics
Last Name:Bain
First Name:James
Address:300 N Duke Street, Durham, NC, 27701, USA
Email:james.bain@duke.edu
Phone:919 479 2320
Funding Source:NIH, NIDDK
Project Comments:This data represents the untargeted metabolomic analysis of the samples
Contributors:O. Alcazar, L.F. Hernandez, E.S. Nakayasu, C. Ansong, C.D. Nicora, C. Ansong, M.J. Muehlbauer, J.R. Bain, C.J. Myer, S.J. Bhattacharya, P. Buchwald, and M.H. Abdulreda
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