Summary of Study ST000910
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 PR000631. The data can be accessed directly via it's Project DOI: 10.21228/M83T1G 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 | ST000910 |
Study Title | Insights into the pathogenesis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) through metabolomic profiling of cerebrospinal fluid (part I) |
Study Summary | Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a disabling illness characterized by six months or more of unexplained profound fatigue with post-exertional malaise, sleep abnormalities, cognitive dysfunction and autonomic disturbances. Focusing on the pathogenesis of central nervous system abnormalities in ME/CFS, we pursued metabolomics analysis of cerebrospinal fluid (CSF) in 32 ME/CFS cases, 40 subjects with multiple sclerosis (MS), another fatiguing illness, and 19 healthy subjects with no neurological disease (ND). MS/ND subjects were frequency matched for age and sex to ME/CFS subjects. Three untargeted metabolomic assays for primary metabolites, biogenic amines and complex lipids were performed with gas chromatography time-of-flight (GC-TOF) and liquid chromatography–tandem mass spectrometry (LC-MS/MS) yielding profiles for 525 known metabolites. Mannose was a cardinal biomarker in ME/CFS subjects with reduced levels in ME/CFS compared to both MS and ND subjects. Levels of acetylcarnitine were reduced in ME/CFS vs. MS subjects. The predictive power of metabolomic analysis for diagnosis of ME/CFS vs. ND was higher (cross-validated AUC 0.875; 95% CI: 0.726~0.949) than with cytokine analysis alone (cross-validated AUC 0.865; 95% CI: 0.673~0.952) and improved with integration of both metabolomics and cytokine analyses (cross-validated AUC 0.916; 95% CI: 0.791~0.969). Our findings confirm the biological basis of ME/CFS, and may enable new methods for diagnosis and insight into cognitive and autonomic disturbances in this syndrome. |
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 | 2017-12-11 |
Raw Data Available | Yes |
Raw Data File Type(s) | cdf |
Analysis Type Detail | GC-MS |
Release Date | 2018-08-27 |
Release Version | 1 |
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Collection:
Collection ID: | CO000942 |
Collection Summary: | CSF samples obtained from lumbar punctures were retrieved from bio-repositories at Sierra Internal Medicine (SIM) and Wisconsin Viral Research Group (WVRG). These biobank specimens were collected over time and maintained at -80°C. |
Sample Type: | CSF |