Journal article
Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank
K Huang, A G. C. de Sá, N Thomas, RD Phair, PR Gooley, DB Ascher, CW Armstrong
Communications Medicine | Published : 2024
Abstract
Background: Diagnosing complex illnesses like Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is complicated due to the diverse symptomology and presence of comorbid conditions. ME/CFS patients often present with multiple health issues, therefore, incorporating comorbidities into research can provide a more accurate understanding of the condition’s symptomatology and severity, to better reflect real-life patient experiences. Methods: We performed association studies and machine learning on 1194 ME/CFS individuals with blood plasma nuclear magnetic resonance (NMR) metabolomics profiles, and seven exclusive comorbid cohorts: hypertension (n = 13,559), depression (n = 2522), asthma ..
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Awarded by Open Medicine Foundation
Funding Acknowledgements
This research was approved by the UK Biobank under the application number 79568 and was funded by the Open Medicine Foundation and the Mason Foundation. We thank the participants of the UK Biobank for their contribution to the resource, and researchers contributing to returned datasets. D.B.A. was supported by The National Health and Medical Research Council of Australia (GNT1174405), and The Victorian Government's Operational Infrastructure Support Program.