Metabolomic Evidence for Peroxisomal Dysfunction in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic and debil-
itating disease characterized by unexplained physical fatigue, cognitive and sensory dysfunction,
sleeping disturbances, orthostatic intolerance, and gastrointestinal problems. People with ME/CFS
often report a prodrome consistent with infections. Using regression, Bayesian and enrichment
analyses, we conducted targeted and untargeted metabolomic analysis of plasma from 106 ME/CFS
cases and 91 frequency-matched healthy controls. Subjects in the ME/CFS group had significantly de-
creased levels of plasmalogens and phospholipid ethers (p < 0.001), phosphatidylcholines (p < 0.001)
and sphingomyelins (p < 0.001), and elevated levels of dicarboxylic acids (p = 0.013). Using machine
learning algorithms, we were able to differentiate ME/CFS or subgroups of ME/CFS from controls
with area under the receiver operating characteristic curve (AUC) values up to 0.873. Our findings
provide the first metabolomic evidence of peroxisomal dysfunction, and are consistent with dys-
regulation of lipid remodeling and the tricarboxylic acid cycle. These findings, if validated in other
cohorts, could provide new insights into the pathogenesis of ME/CFS and highlight the potential use
of the plasma metabolome as a source of biomarkers for the disease.
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