Biomedical Insights that Inform the Diagnosis of ME/CFS

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...

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Bibliographic Details
Main Author: Lidbury, Brett (auth)
Other Authors: Fisher, Paul (auth)
Format: Electronic Book Chapter
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
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DOAB: description of the publication
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520 |a 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. 
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653 |a work rehabilitation 
653 |a tryptophan metabolism 
653 |a substrate inhibition 
653 |a myalgic encephalomyelitis 
653 |a 3-dioxygenase 
653 |a ME (Myalgic Encephalomyelitis) 
653 |a assessment 
653 |a myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) 
653 |a muscles 
653 |a hypoacetylation 
653 |a circadian rhythm 
653 |a immune system 
653 |a chronic 
653 |a CFS (Chronic Fatigue Syndrome) 
653 |a energy metabolism 
653 |a ME/CFS 
653 |a immunological 
653 |a cytokine 
653 |a bistability 
653 |a diagnosis 
653 |a biomarker 
653 |a symptoms 
653 |a kynurenine pathway 
653 |a inflammation and immunity 
653 |a metabolism 
653 |a neuro-inflammation 
653 |a pathology 
653 |a signaling 
653 |a exercise 
653 |a Epstein Barr virus 
653 |a methylhistidine 
653 |a hypothalamic-pituitary-adrenal axis 
653 |a potential biomarkers 
653 |a critical point 
653 |a inflammation 
653 |a histone deacetylation 
653 |a participatory research 
653 |a neurology 
653 |a neuroimmune 
653 |a activin 
653 |a mitochondria 
653 |a patient-driven questionnaire 
653 |a medical retirement 
653 |a machine learning 
653 |a prognosis 
653 |a gut microbiota 
653 |a post-exertional malaise 
653 |a chronic fatigue syndrome 
653 |a mathematical model 
653 |a reference intervals 
653 |a diagnostic biomarker 
653 |a indoleamine-2 
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