Developing a Blood Cell‐Based Diagnostic Test for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Using Peripheral Blood Mononuclear Cells

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.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Developing a Blood Cell‐Based Diagnostic Test for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Using Peripheral Blood Mononuclear Cells ; day:31 ; month:08 ; year:2023 ; extent:11
Advanced science ; (31.08.2023) (gesamt 11)

Creator
Xu, Jiabao
Lodge, Tiffany
Kingdon, Caroline
Strong, James W. L.
Maclennan, John
Lacerda, Eliana
Kujawski, Slawomir
Zalewski, Pawel
Huang, Wei E.
Morten, Karl J.

DOI
10.1002/advs.202302146
URN
urn:nbn:de:101:1-2023090115132458538424
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 11:03 AM CEST

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Associated

  • Xu, Jiabao
  • Lodge, Tiffany
  • Kingdon, Caroline
  • Strong, James W. L.
  • Maclennan, John
  • Lacerda, Eliana
  • Kujawski, Slawomir
  • Zalewski, Pawel
  • Huang, Wei E.
  • Morten, Karl J.

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