Summary of Study ST000910

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, 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.


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 IDST000910
Study TitleInsights into the pathogenesis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) through metabolomic profiling of cerebrospinal fluid (part I)
Study SummaryMyalgic 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.
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
Phone(530) 754-8258
Submit Date2017-12-11
Raw Data AvailableYes
Raw Data File Type(s)cdf
Analysis Type DetailGC-MS
Release Date2018-08-27
Release Version1
Oliver Fiehn Oliver Fiehn application/zip

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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