Summary of project PR000631
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
Project ID: | PR000631 |
Project DOI: | doi: 10.21228/M83T1G |
Project Title: | Insights into the pathogenesis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) through metabolomic profiling of cerebrospinal fluid |
Project 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: | Columbia University |
Department: | Center for Infection and Immunity, Mailman School of Public Health |
Last Name: | Lipkin |
First Name: | Ian |
Address: | 722 West 168th Street, Room 1703a, New York, NY USA 10032 |
Email: | wil2001@columbia.edu |
Phone: | 212-342-9044 |
Summary of all studies in project PR000631
Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
---|---|---|---|---|---|---|---|---|
ST000910 | Insights into the pathogenesis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) through metabolomic profiling of cerebrospinal fluid (part I) | Homo sapiens | University of California, Davis | MS* | 2018-08-27 | 1 | 91 | Uploaded data (452M)* |
ST000911 | Insights into the pathogenesis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) through metabolomic profiling of cerebrospinal fluid (part II) | Homo sapiens | University of California, Davis | MS | 2018-08-27 | 1 | 91 | Uploaded data (6.2G)* |
ST000912 | Insights into the pathogenesis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) through metabolomic profiling of cerebrospinal fluid (part III) | Homo sapiens | University of California, Davis | MS* | 2020-06-03 | 1 | 91 | Uploaded data (7.7G)* |
ST000913 | Insights into the pathogenesis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) through metabolomic profiling of cerebrospinal fluid (part IV) | Homo sapiens | University of California, Davis | MS* | 2018-08-27 | 1 | 91 | Uploaded data (4.5G)* |