Summary of Study ST000801

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 PR000576. The data can be accessed directly via it's Project DOI: 10.21228/M86X1F 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 IDST000801
Study TitleInsights into myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) phenotypes through comprehensive metabolomics (part II)
Study TypeObservational
Study SummaryThe pathogenesis of ME/CFS, a disease characterized by unexplained debilitating fatigue, cognitive dysfunction, sleep disturbances, orthostatic intolerance, fever, lymphadenopathy and irritable bowel syndrome (IBS), is poorly understood. There are no validated diagnostic tests or interventions to mitigate disease. Here we report association modeling, biomarker discovery, biochemical enrichment analysis and topological network visualization of plasma metabolomic, fecal bacterial metagenomic and clinical data from 50 ME/CFS patients and 50 healthy controls.
Institute
University of California, Davis
DepartmentGenome and Biomedical Sciences Facility
LaboratoryWCMC Metabolomics Core
Last NameFiehn
First NameOliver
Address1315 Genome and Biomedical Sciences Facility, 451 Health Sciences Drive, Davis, CA 95616
Emailofiehn@ucdavis.edu
Phone(530) 754-8258
Submit Date2017-07-19
Study CommentsKey: mecfs : 1 in this column indicates case, while 0 indicates control Ibs: 1 in this column indicates the patient does have disease, 0 indicates free of ibs
PublicationsInsights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics. Scientific Reports volume 8, Article number: 10056 (2018). Dorottya Nagy-Szakal, Dinesh K. Barupal, Bohyun Lee, Xiaoyu Che, Brent L. Williams, Ellie J. R. Kahn, Joy E. Ukaigwe, Lucinda Bateman, Nancy G. Klimas, Anthony L. Komaroff, Susan Levine, Jose G. Montoya, Daniel L. Peterson, Bruce Levin, Mady Hornig, Oliver Fiehn & W. Ian Lipkin.
Raw Data AvailableYes
Raw Data File Type(s)d
Analysis Type DetailLC-MS
Release Date2018-08-16
Release Version1
Oliver Fiehn Oliver Fiehn
https://dx.doi.org/10.21228/M86X1F
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN001273
Analysis type MS
Chromatography type HILIC
Chromatography system Agilent 6530
Column Waters Acquity BEH C18 (100 x 2mm,1.7um)
MS Type ESI
MS instrument type QTOF
MS instrument name Agilent 6530 QTOF
Ion Mode POSITIVE
Units Counts
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