Summary of Study ST000800
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.
Study ID | ST000800 |
Study Title | Insights into myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) phenotypes through comprehensive metabolomics |
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) | d |
Analysis Type Detail | LC-MS |
Release Date | 2018-08-16 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
Analysis ID | AN001271 | AN001272 |
---|---|---|
Analysis type | MS | MS |
Chromatography type | Reversed phase | Reversed phase |
Chromatography system | Agilent 6530 | Agilent 6550 |
Column | Waters Acquity CSH C18 (100 x 2.1mm,1.7um) | Waters Acquity CSH C18 (100 x 2.1mm,1.7um) |
MS Type | ESI | ESI |
MS instrument type | QTOF | QTOF |
MS instrument name | Agilent 6530 QTOF | Agilent 6550 QTOF |
Ion Mode | POSITIVE | NEGATIVE |
Units | Counts | Counts |
MS:
MS ID: | MS001164 |
Analysis ID: | AN001271 |
Instrument Name: | Agilent 6530 QTOF |
Instrument Type: | QTOF |
MS Type: | ESI |
Ion Mode: | POSITIVE |
Capillary Voltage: | 3500 eV |
Collision Energy: | 25 eV |
Collision Gas: | Nitrogen |
Dry Gas Flow: | 8L/min |
Dry Gas Temp: | 325 C |
Fragment Voltage: | 120 eV |
Fragmentation Method: | Auto MS/MS |
Ion Source Temperature: | 325 C |
Ion Spray Voltage: | 1000 |
Ionization: | Pos |
Precursor Type: | Intact Molecule |
Reagent Gas: | Nitrogen |
Source Temperature: | 325 C |
Dataformat: | .d |
Desolvation Gas Flow: | 11 L/min |
Desolvation Temperature: | 350 C |
Nebulizer: | 35 psig |
Octpole Voltage: | 750 |
Resolution Setting: | Extended Dyamic Range |
Scan Range Moverz: | 60-1700 Da |
Scanning Cycle: | 2 Hz |
Scanning Range: | 60-1700 Da |
Skimmer Voltage: | 65 |
MS ID: | MS001165 |
Analysis ID: | AN001272 |
Instrument Name: | Agilent 6550 QTOF |
Instrument Type: | QTOF |
MS Type: | ESI |
Ion Mode: | NEGATIVE |
Capillary Voltage: | 3500 eV |
Collision Energy: | 40 eV |
Collision Gas: | Nitrogen |
Dry Gas Flow: | 13L/min |
Dry Gas Temp: | 200 C |
Fragment Voltage: | 175 eV |
Fragmentation Method: | Auto MS/MS |
Ion Source Temperature: | 325 C |
Ion Spray Voltage: | 1000 |
Ionization: | Neg |
Precursor Type: | Intact Molecule |
Reagent Gas: | Nitrogen |
Source Temperature: | 325 C |
Dataformat: | .d |
Desolvation Gas Flow: | 11 L/min |
Desolvation Temperature: | 350 C |
Nebulizer: | 35 psig |
Octpole Voltage: | 750 |
Resolution Setting: | Extended Dyamic Range |
Scan Range Moverz: | 60-1700 Da |
Scanning Cycle: | 2 Hz |
Scanning Range: | 60-1700 Da |
Skimmer Voltage: | 65 |