Biomedical Insights that Inform the Diagnosis of ME/CFS

Edited by
March 2020
202 pages
  • ISBN978-3-03928-390-3 (Paperback)
  • ISBN978-3-03928-391-0 (PDF)

This book is a reprint of the Special Issue Biomedical Insights that Inform the Diagnosis of ME/CFS that was published in

Medicine & Pharmacology
Public Health & Healthcare
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a severe chronic health condition that is often misunderstood or ignored by health establishments. The lack of definitive diagnostic markers to separate ME/CFS patients from the healthy population as well as from other chronic disorders is problematic for both health professionals and researchers. A consortium of Australian researchers gathered to systematically understand ME/CFS, ranging from a deep analysis of clinical and pathology data to metabolomic profiles and the investigation of mitochondrial function. From this broad collaboration, a number of compelling insights have arisen that may form the basis of specific serum, blood, and/or urinary biomarkers of ME/CFS. This Special Edition reports on a conference centred on these biomedical discoveries, with other contributions, with a translation focus for predictive markers for ME/CFS diagnosis. By supporting health professionals with developments in diagnostics for this condition, the patients and their families will hopefully benefit from an improved recognition of the biomedical underpinnings of the condition and will be better able to access the care that is urgently required. This Special Edition contains a mix of speaker submissions and other accepted manuscripts that contributed to our objective of advancing biomedical insights to enable the accurate diagnosis of ME/CFS.
  • Paperback
License and Copyright
© 2020 by the authors; CC BY-NC-ND license
myalgic encephalomyelitis; chronic fatigue syndrome; diagnosis; symptoms; muscles; neurology; myalgic encephalomyelitis; chronic fatigue syndrome; post-exertional malaise; assessment; patient-driven questionnaire; participatory research; myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS); energy metabolism; potential biomarkers; fatigue syndrome; chronic; exercise; hypoacetylation; methylhistidine; histone deacetylation; myalgic encephalomyelitis; chronic fatigue syndrome; diagnostic biomarker; inflammation and immunity; metabolism; mitochondria; circadian rhythm; neuro-inflammation; myalgic encephalomyelitis; chronic fatigue syndrome; activin; pathology; biomarker; cytokine; machine learning; reference intervals; myalgic encephalomyelitis; chronic fatigue syndrome; ME/CFS; diagnosis; metabolism; mitochondria; inflammation; immune system; signaling; gut microbiota; tryptophan metabolism; indoleamine-2,3-dioxygenase; bistability; kynurenine pathway; substrate inhibition; myalgic encephalomyelitis; chronic fatigue syndrome; mathematical model; critical point; immunological; chronic fatigue syndrome; myalgic encephalomyelitis; biomarker; neuroimmune; Epstein Barr virus; hypothalamic–pituitary–adrenal axis; CFS (Chronic Fatigue Syndrome); ME (Myalgic Encephalomyelitis); medical retirement; prognosis; work rehabilitation; n/a