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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Huvudupphov: Lidbury, Brett, Fisher, Paul
Materialtyp: Online
Språk:engelska
Utgiven: MDPI - Multidisciplinary Digital Publishing Institute 2021
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Länkar:44823
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author Lidbury, Brett
Fisher, Paul
author_browse Fisher, Paul
Lidbury, Brett
author_facet Lidbury, Brett
Fisher, Paul
author_sort Lidbury, Brett
collection Directory of Open Access Books
description 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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spelling doab-20.500.12854ir-422802024-03-31T13:08:36Z Biomedical Insights that Inform the Diagnosis of ME/CFS Lidbury, Brett Fisher, Paul R5-920 RM1-950 fatigue syndrome n/a work rehabilitation tryptophan metabolism substrate inhibition myalgic encephalomyelitis 3-dioxygenase ME (Myalgic Encephalomyelitis) assessment myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) muscles hypoacetylation circadian rhythm immune system chronic CFS (Chronic Fatigue Syndrome) energy metabolism ME/CFS immunological cytokine bistability diagnosis biomarker symptoms kynurenine pathway inflammation and immunity metabolism neuro-inflammation pathology signaling exercise Epstein Barr virus methylhistidine hypothalamic–pituitary–adrenal axis potential biomarkers critical point inflammation histone deacetylation participatory research neurology neuroimmune activin mitochondria patient-driven questionnaire medical retirement machine learning prognosis gut microbiota post-exertional malaise chronic fatigue syndrome mathematical model reference intervals diagnostic biomarker indoleamine-2 thema EDItEUR::M Medicine and Nursing 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. 2021-02-11T09:11:51Z 2021-02-11T09:11:51Z 2020-04-07 23:07:09 2020 book 44823 9783039283910 9783039283903 https://directory.doabooks.org/handle/20.500.12854/42280 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/2100 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03928-391-0 10.3390/books978-3-03928-391-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039283910 9783039283903 202 open access
spellingShingle R5-920
RM1-950
fatigue syndrome
n/a
work rehabilitation
tryptophan metabolism
substrate inhibition
myalgic encephalomyelitis
3-dioxygenase
ME (Myalgic Encephalomyelitis)
assessment
myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)
muscles
hypoacetylation
circadian rhythm
immune system
chronic
CFS (Chronic Fatigue Syndrome)
energy metabolism
ME/CFS
immunological
cytokine
bistability
diagnosis
biomarker
symptoms
kynurenine pathway
inflammation and immunity
metabolism
neuro-inflammation
pathology
signaling
exercise
Epstein Barr virus
methylhistidine
hypothalamic–pituitary–adrenal axis
potential biomarkers
critical point
inflammation
histone deacetylation
participatory research
neurology
neuroimmune
activin
mitochondria
patient-driven questionnaire
medical retirement
machine learning
prognosis
gut microbiota
post-exertional malaise
chronic fatigue syndrome
mathematical model
reference intervals
diagnostic biomarker
indoleamine-2
thema EDItEUR::M Medicine and Nursing
Lidbury, Brett
Fisher, Paul
Biomedical Insights that Inform the Diagnosis of ME/CFS
title Biomedical Insights that Inform the Diagnosis of ME/CFS
title_full Biomedical Insights that Inform the Diagnosis of ME/CFS
title_fullStr Biomedical Insights that Inform the Diagnosis of ME/CFS
title_full_unstemmed Biomedical Insights that Inform the Diagnosis of ME/CFS
title_short Biomedical Insights that Inform the Diagnosis of ME/CFS
title_sort biomedical insights that inform the diagnosis of me cfs
topic R5-920
RM1-950
fatigue syndrome
n/a
work rehabilitation
tryptophan metabolism
substrate inhibition
myalgic encephalomyelitis
3-dioxygenase
ME (Myalgic Encephalomyelitis)
assessment
myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)
muscles
hypoacetylation
circadian rhythm
immune system
chronic
CFS (Chronic Fatigue Syndrome)
energy metabolism
ME/CFS
immunological
cytokine
bistability
diagnosis
biomarker
symptoms
kynurenine pathway
inflammation and immunity
metabolism
neuro-inflammation
pathology
signaling
exercise
Epstein Barr virus
methylhistidine
hypothalamic–pituitary–adrenal axis
potential biomarkers
critical point
inflammation
histone deacetylation
participatory research
neurology
neuroimmune
activin
mitochondria
patient-driven questionnaire
medical retirement
machine learning
prognosis
gut microbiota
post-exertional malaise
chronic fatigue syndrome
mathematical model
reference intervals
diagnostic biomarker
indoleamine-2
thema EDItEUR::M Medicine and Nursing
topic_facet R5-920
RM1-950
fatigue syndrome
n/a
work rehabilitation
tryptophan metabolism
substrate inhibition
myalgic encephalomyelitis
3-dioxygenase
ME (Myalgic Encephalomyelitis)
assessment
myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)
muscles
hypoacetylation
circadian rhythm
immune system
chronic
CFS (Chronic Fatigue Syndrome)
energy metabolism
ME/CFS
immunological
cytokine
bistability
diagnosis
biomarker
symptoms
kynurenine pathway
inflammation and immunity
metabolism
neuro-inflammation
pathology
signaling
exercise
Epstein Barr virus
methylhistidine
hypothalamic–pituitary–adrenal axis
potential biomarkers
critical point
inflammation
histone deacetylation
participatory research
neurology
neuroimmune
activin
mitochondria
patient-driven questionnaire
medical retirement
machine learning
prognosis
gut microbiota
post-exertional malaise
chronic fatigue syndrome
mathematical model
reference intervals
diagnostic biomarker
indoleamine-2
thema EDItEUR::M Medicine and Nursing
url 44823
work_keys_str_mv AT lidburybrett biomedicalinsightsthatinformthediagnosisofmecfs
AT fisherpaul biomedicalinsightsthatinformthediagnosisofmecfs