ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023
Developing a Blood Cell-Based Diagnostic Test for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Using Peripheral Blood Mononuclear Cells.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The trial behind it
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Who cites it
17 citing papers in PubMed, 20 citations in OpenAlex.
- Raman Spectroscopy Combined with Machine Learning Reveals Myalgic Encephalomyelitis-Associated Biomolecular Signatures at Rest and After Standardized Stress.International journal of molecular sciences · 2026Article
- A machine learning-driven Raman spectroscopy approach for non-invasive diagnosis of non-puerperal mastitis.Analytical and bioanalytical chemistry · 2026Article
- A new paradigm for stratified cognitive assessment: fusing serum Raman spectroscopy and ensemble learning.Alzheimer's research & therapy · 2026Article
- Research on a rapid detection method for systemic lupus erythematosus based on Raman spectroscopy.Frontiers in immunology · 2026Article
- Diagnosis of chronic fatigue syndrome using beat-to-beat autonomic measurements.Journal of translational medicine · 2025Article
- Development and validation of blood-based diagnostic biomarkers for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) using EpiSwitchJournal of translational medicine · 2025Article
- Circulating cell-free RNA signatures for the characterization and diagnosis of myalgic encephalomyelitis/chronic fatigue syndrome.Proceedings of the National Academy of Sciences of the United States of America · 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
- Machine learning and multi-omics in precision medicine for ME/CFS.Journal of translational medicine · 2025Review
- Dysregulation of lipid metabolism, energy production, and oxidative stress in myalgic encephalomyelitis/chronic fatigue syndrome, Gulf War Syndrome and fibromyalgia.Frontiers in neuroscience · 2025Review
- Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank.Communications medicine · 2024Article
- Untargeted Metabolomics and Quantitative Analysis of Tryptophan Metabolites in Myalgic Encephalomyelitis Patients and Healthy Volunteers: A Comparative Study Using High-Resolution Mass Spectrometry.ACS chemical neuroscience · 2024Article
- Long COVID and post-acute sequelae of SARS-CoV-2 pathogenesis and treatment: A Keystone Symposia report.Annals of the New York Academy of Sciences · 2024Article
- Raman micro-spectroscopy as a tool to study immunometabolism.Biochemical Society transactions · 2024Review
- Real-time monitoring of single dendritic cell maturation using deep learning-assisted surface-enhanced Raman spectroscopy.Theranostics · 2024Article
- Developing a Blood Cell-Based Diagnostic Test for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Using Peripheral Blood Mononuclear Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Exploring the joint potential of inflammation, immunity, and receptor-based biomarkers for evaluating ME/CFS progression.Frontiers in immunology · 2023Article
Corrections and comments
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Authors and funding
10 authors at 7 institutions in 3 countries.
Funding
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is characterized by debilitating fatigue that profoundly impacts patients' lives. Diagnosis of ME/CFS remains challenging, with most patients relying on self-report, questionnaires, and subjective measures to receive a diagnosis, and many never receiving a clear diagnosis at all. In this study, a single-cell Raman platform and artificial intelligence are utilized to analyze blood cells from 98 human subjects, including 61 ME/CFS patients of varying disease severity and 37 healthy and disease controls. These results demonstrate that Raman profiles of blood cells can distinguish between healthy individuals, disease controls, and ME/CFS patients with high accuracy (91%), and can further differentiate between mild, moderate, and severe ME/CFS patients (84%). Additionally, specific Raman peaks that correlate with ME/CFS phenotypes and have the potential to provide insights into biological changes and support the development of new therapeutics are identified. This study presents a promising approach for aiding in the diagnosis and management of ME/CFS and can be extended to other unexplained chronic diseases such as long COVID and post-treatment Lyme disease syndrome, which share many of the same symptoms as ME/CFS.
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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.