Summary of Study ST000802
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
Study ID | ST000802 |
Study Title | Insights into myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) phenotypes through comprehensive metabolomics (part III)) |
Study Type | Observational |
Study Summary | The 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. Through targeted and untargeted metabolomics analyses we confirm earlier reports of specific alterations in plasma levels of choline, carnitine and complex lipid metabolism in ME/CFS. We also demonstrate that patients with ME/CFS and IBS have a unique metabolomic profile that includes increased plasma levels of ceramide, a waxy lipid implicated in suppression of electron transport, insulin and leptin resistance and apoptosis. Integration of fecal metagenomic and plasma metabolomic data resulted in a stronger predictive model of ME/CFS (cross-validated AUC=0.836) than either metagenomic (cross-validated AUC=0.745) or metabolomic (cross-validated AUC=0.820) analysis alone. Our findings may provide insights into the pathogenesis of ME/CFS and ME/CFS subtypes, and suggest pathways for the development of diagnostic and therapeutic strategies. |
Institute | University of California, Davis |
Department | Genome and Biomedical Sciences Facility |
Laboratory | WCMC Metabolomics Core |
Last Name | Fiehn |
First Name | Oliver |
Address | 1315 Genome and Biomedical Sciences Facility, 451 Health Sciences Drive, Davis, CA 95616 |
ofiehn@ucdavis.edu | |
Phone | (530) 754-8258 |
Submit Date | 2017-07-19 |
Study Comments | Key: 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 |
Publications | Insights 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 Available | Yes |
Raw Data File Type(s) | wiff |
Analysis Type Detail | LC-MS |
Release Date | 2018-08-16 |
Release Version | 1 |
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Combined analysis:
Analysis ID | AN001274 |
---|---|
Analysis type | MS |
Chromatography type | Reversed phase |
Chromatography system | Waters Acquity |
Column | Waters Acquity BEH C18 (150 x 2.1mm,1.7um) |
MS Type | ESI |
MS instrument type | Triple quadrupole |
MS instrument name | ABI Sciex API 4000 QTrap |
Ion Mode | NEGATIVE |
Units | Concentration (nM) |