Replicated blood-based biomarkers for myalgic encephalomyelitis not explicable by inactivity

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a common female-biased disease. ME/CFS diagnosis is hindered by the absence of biomarkers that are unaffected by patients' low physical activity level. Our analysis used semi-parametric efficient estimators, an initial Super Learner fit followed by a one-step correction, three mediators, and natural direct and indirect estimands, to decompose the average effect of ME/CFS status on molecular and cellular traits. For this, we used UK Biobank data for up to 1455 ME/CFS cases and 131,303 controls. Hundreds of traits differed significantly between cases and controls, including 116 significant for both female and male cohorts. These were indicative of chronic inflammation, insulin resistance and liver disease. Nine of 14 traits were replicated in the smaller All-of-Us cohort. Results cannot be explained by restricted activity: via an activity mediator, ME/CFS status significantly affected only 1 of 3237 traits. Individuals with post-exertional malaise show stronger biomarker differences. Single traits could not cleanly distinguish cases from controls. Nevertheless, these results keep alive the future ambition of a blood-based biomarker panel for accurate ME/CFS diagnosis.

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Publication Details

Journal
EMBO Molecular Medicine
Published
2025-06-19
DOI
https://doi.org/10.1038/s44321-025-00258-8
Citations
8
Primary Topic
Fibromyalgia and Chronic Fatigue Syndrome Research
Type
article
Field-Weighted Citation Impact
11.77

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article

Replicated blood-based biomarkers for myalgic encephalomyelitis not explicable by inactivity

Gemma L. Samms, Chris P. Ponting, Ava Khamseh, Sjoerd Viktor Beentjes et al.
8 citations
EMBO Molecular Medicine
Fibromyalgia and Chronic Fatigue Syndrome Research
11.77
article

Replicated blood-based biomarkers for myalgic encephalomyelitis not explicable by inactivity

Gemma L. Samms, Chris P. Ponting, Ava Khamseh, Sjoerd Viktor Beentjes, Julia Kaczmarczyk, Nima S. Hejazi, A. Cassar, Artur Miralles Méharon
article en
8 citations

Abstract

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a common female-biased disease. ME/CFS diagnosis is hindered by the absence of biomarkers that are unaffected by patients' low physical activity level. Our analysis used semi-parametric efficient estimators, an initial Super Learner fit followed by a one-step correction, three mediators, and natural direct and indirect estimands, to decompose the average effect of ME/CFS status on molecular and cellular traits. For this, we used UK Biobank data for up to 1455 ME/CFS cases and 131,303 controls. Hundreds of traits differed significantly between cases and controls, including 116 significant for both female and male cohorts. These were indicative of chronic inflammation, insulin resistance and liver disease. Nine of 14 traits were replicated in the smaller All-of-Us cohort. Results cannot be explained by restricted activity: via an activity mediator, ME/CFS status significantly affected only 1 of 3237 traits. Individuals with post-exertional malaise show stronger biomarker differences. Single traits could not cleanly distinguish cases from controls. Nevertheless, these results keep alive the future ambition of a blood-based biomarker panel for accurate ME/CFS diagnosis.

EMBO Molecular MedicineVol. 17(7)
Harvard University (US), Edinburgh Cancer Research (GB), Cancer Research And Biostatistics (US), Maxwell Institute for Mathematical Sciences (GB), Institute of Genetics and Cancer (GB), University of California, Berkeley (US), University of Edinburgh (GB)
UK Research and Innovation, National Institute for Health and Care Research, ME Research UK, Medical Research Council
Good health and well-being
Openalex Percentile: Top 1%
Fibromyalgia and Chronic Fatigue Syndrome Research
11.77
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