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Chronic fatigue syndrome

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Title: Chronic fatigue syndrome


1
Chronic fatigue syndrome
2
An historical perspective
  • Explanations of illness through history
  • Illness as a metaphor
  • Science and technology
  • Scientific method

3
What is fatigue?
University of NSW
  • Fatigue as a symptom
  • everyday phenomenon
  • disease associated (infective, inflammatory,
    neurological, mood disorder, )
  • physical and mental components
  • Fatigue as a sign
  • failure of force generation in the muscle
  • physiological or pathological
  • peripheral and central components

4
What is chronic fatigue syndrome?
Definition
  • Unexplained, persistent or relapsing fatigue,
    that is
  • of new, definite onset
  • not due to exertion
  • not relieved by rest
  • associated with a substantial reduction in daily
    activities
  • Four or more of
  • impaired short term memory or concentration
  • sore throat
  • tender lymph nodes
  • muscle pain
  • joint pain
  • headaches
  • unrefreshing sleep
  • post-exertional malaise

and
Fukuda K et al. Ann Intern Med 1994 121 953-9.
5
Chronic fatigue syndrome
Case-control studies
Neurophysiological fatigue - a failure of
force generation in the muscle
Lloyd A et al. Muscle strength, twitch
properties, voluntary activation and perceived
exertion in normal subjects and patients with
chronic fatigue syndrome Brain 1991 114 85-98.
6
CFS - the state of the art
Case-control studies
  • CFS is
  • prevalent (200/100,000)
  • disabling
  • costly
  • CFS is not
  • a muscle disorder
  • a psychiatric disorder
  • a retroviral infection
  • an auto-immune disorder
  • a sleep disorder
  • a metabolic disorder

7
Heterogeneity in the CFS label
Hickie I et al. Can the chronic fatigue syndrome
be defined by distinct clinical features?
Psychological Medicine 1995 25925-936
8
Dubbo Infection Outcomes Study
9
Dubbo study recruitment pathway
Onset of symptoms
Attend general practice
Diagnostic laboratory tests EBV, RRV, QF IgM
Contact by research team and enrolment
Not enroled
Self-report cohort
Main cohort
  • Interviews
  • Serological confirmation
  • Follow-up
  • Questionnaires
  • Follow-up
  • Limited data collection

10
Natural history of symptoms
Confirmed EBV (n68)
11
Post-infective fatigue (PIFS) outcomes
Also met diagnostic criteria for CFS
12
Hypothesis
University of NSW
Infection
Environmental co-factors
Genetic predisposition
Aberrant immune response
Persistence of pathogen
Chronic cytokine production
Brain-mediated fatigue
13
Hypothesis testing
  • Case-control series
  • Cases (PIFS) 6 months or more of unexplained
    fatigue
  • Controls recovered uneventfully within 2-3 weeks
    of onset
  • Serologically confirmed infection
  • Longitudinally collected samples and clinical data

14
EBV cellular viral load
Cases (n8) / controls (n17)
15
Anti-EBV antibody responses
16
T cell responses to EBV
17
Summary
EBV case-control studies
  • In comparison with subjects who recover promptly,
    subjects with PIFS have
  • No evidence of altered viral load
  • No significant alteration in the antibody
    response
  • No significant alteration in the cellular immune
    response
  • No significant difference in cytokine production

Cameron B, Bharadwaj M, Burrows J, et al.
Prolonged illness after infectious mononucleosis
is associated with altered immunity but not with
increased viral load. Journal of Infectious
Diseases. 2006193664-671
18
The hypothesis revisited?
University of NSW
Infection
Environmental co-factors
Genes
Aberrant (early) immune response
Persistent antigen
Chronic cytokine production
Brain-mediated fatigue
19
The hypothesis revisited
University of NSW
Infection
Environmental co-factors
Genes
Appropriate immune response
Exaggerated brain response
Brain-mediated fatigue
20
Research team
  • Dubbo Study
  • Maree Wilkinson, Sue Newham Valma Cahill
    (Dubbo - field
    laboratory)
  • Justine Diver (UNSW -
    Admin.)
  • Ian Hickie, Tracey Davenport (USyd - Psychiatry)
  • Barb Cameron, Hui Li, Denis Wakefield
    (UNSW - Immunology)
  • Ute Vollmer-Conna (UNSW -
    Psycho-immunology)
  • Collaborators
  • Rajiv Khanna, Mandvi Bharadwaj
    (QIMR - EBV)
  • Barrie Marmion, Ray Harris (IMVS - QF)
  • Heather Dunckley, Andrew Geczy
    (ARCBS - Genetics)
  • Bill Reeves, Suzanne Vernon, Toni Whistler (CDC -
    Gene expression)
  • William Dunsmuire, Sally Galbraith (UNSW
    Mathematics - Array analysis)
  • Suresh Mahalingham (University of Canberra -
    mouse model of RRV)

21
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