ArticleCommunications medicine2024
Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank.
Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Biomarkers of post-acute infection syndrome: a systematic literature review.Frontiers in immunology · 2026Pooled it
- Association between myalgic encephalomyelitis/chronic fatigue syndrome and irritable bowel syndrome: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Low-Dose Ionizing Radiation and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): A Review of Recent Evidence and Future Research Directions Toward the Elucidation of a Metabolic, Immunologic, and Signaling Cascade.International journal of molecular sciences · 2026Review
- Benchmarking large language models for cell-free RNA diagnostic biomarker discovery.Nature communications · 2026Article
- Toward a Molecular Reclassification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Integrating Multi-Omics, Machine Learning, and Precision Medicine.International journal of molecular sciences · 2026Review
- Neurovascular and synaptic milieu of brain-resident cells in cognitive dysfunction of myalgic encephalomyelitis/chronic fatigue syndrome.Journal of translational medicine · 2026Review
- An Overview of Severe Myalgic Encephalomyelitis.Journal of clinical medicine · 2026Review
- Exploring a genetic basis for the metabolic perturbations in ME/CFS using UK biobank.iScience · 2026Article
- Multi-omics identifies lipid accumulation in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome cell lines: a case-control study.Journal of translational medicine · 2026Article
- Overcoming barriers in myalgic encephalomyelitis/chronic fatigue syndrome research: the CureME participatory model.Frontiers in human neuroscience · 2026Article
- Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): diagnosis and management.Journal of translational medicine · 2025Review
- Development and validation of blood-based diagnostic biomarkers for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) using EpiSwitchJournal of translational medicine · 2025Article
- Biomarkers over Time: From Visual Contrast Sensitivity to Transcriptomics in Differentiating Chronic Inflammatory Response Syndrome and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.International journal of molecular sciences · 2025Review
- Elevated risk of new-onset chronic fatigue syndrome/myalgic encephalomyelitis up to four years after SARS-CoV-2 infection.Journal of translational medicine · 2025Article
- Replicated blood-based biomarkers for myalgic encephalomyelitis not explicable by inactivity.EMBO molecular medicine · 2025Article
- The search for a blood-based biomarker for Myalgic Encephalomyelitis/ Chronic Fatigue Syndrome (ME/CFS): from biochemistry to electrophysiology.Journal of translational medicine · 2025Review
- Addressing methodological challenges in multiple long-term conditions research: A stakeholder workshop using a nominal group technique method.Journal of multimorbidity and comorbidityArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiagnosing 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.
methodsWe 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 (n = 6406), irritable bowel syndrome (n = 859), hay fever (n = 3025), hypothyroidism (n = 1226), migraine (n = 1551) and a non-diseased control group (n = 53,009).
resultsWe present a lipoprotein perspective on ME/CFS pathophysiology, highlighting gender-specific differences and identifying overlapping associations with comorbid conditions, specifically surface lipids, and ketone bodies from 168 significant individual biomarker associations. Additionally, we searched for, trained, and optimised a machine learning algorithm, resulting in a predictive model using 19 baseline characteristics and nine NMR biomarkers which could identify ME/CFS with an AUC of 0.83 and recall of 0.70. A multi-variable score was subsequently derived from the same 28 features, which exhibited ~2.5 times greater association than the top individual biomarker.
conclusionsThis study provides an end-to-end analytical workflow that explores the potential clinical utility that association scores may have for ME/CFS and other difficult to diagnose conditions.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.