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The
Development of Laboratory Tests for Investigating Chronic Fatigue and
Pain Disorders
Dunstan
RH, McGregor NR, Butt HL, Roberts TK, Zerbes M, Klineberg IJ*.
Collaborative
Pain Research Unit
Department of Biological Sciences
The University of Newcastle
Callaghan
NSW 2308
Australia
* Neurobiology Research Unit
Centre for Oral Health Research
University of Sydney
Westmead Hospital
Westmead
NSW 2084
Australia
A diagnosis of chronic fatigue syndrome (CFS) requires the exclusion of
other known fatigue-related diseases and requires compliance with a clinical
definition which is primarily characterized by unexplained, persistent
or relapsing, chronic and debilitating fatigue lasting six or more consecutive
months1, 2. The patient set derived by this process is heterogeneous in
their polysymptomatic presentation and has proved very difficult to study
clinically and scientifically. There is an urgent demand for a range of
specialised tests to be developed for these chronic pain and fatigue disorders,
to complement the basic pathology and assist the clinicians in classifying
the various types of chronic fatigue and chronic pain. Data from studies
involving analyses of plasma lipids and urinary excretion of metabolites
together with their associations with symptom presentation3-5 have been
used to classify patients with similar metabolic profiles into subgroups.
These subgroups comprise relatively homogeneous sets of patients for investigation.
Individual patients can also be aligned with the metabolic profiles from
our CFS research to assign their altered homeostasis patterns to a particular
CFS type. In addition, the test data can provide insight into potential
management strategies, as certain host responses can be delineated, and
nutrient deficiencies identified. Three types of specialist tests are
currently available.
- Analyses
of the metabolites in the urine can indicate whether the patient has
a significantly altered pattern of excretion representing an altered
homeostasis, and whether or not that patient can be assigned to a previously
defined type of chronic fatigue disorder. The data provided can indicate
whether fibrillar or non-fibrillar catabolism is active in the patient,
and whether any anomalies identified in the excretion pattern provide
objective evidence for gut, neurological, energy and urea cycle dysfunction.
An indication of specific amino acid deficiencies can also be obtained.
- Analyses
of plasma lipid profiles can indicate anomalies in lipid homeostasis
and enable the assignment of a patient to a previously defined type
of chronic fatigue disorder. The test can detect deficiencies in essential
fatty acid composition, detect dysregulation of essential fatty acid
desaturation and elongation, identify potential problems in ?-oxidation,
and provide evidence for the presence of host responses to infectious
agents.
- Analyses
of faecal aerobic and anaerobic microorganisms in conjunction with faecal
lipid analysis can provide extensive data on the functional integrity
of the gastrointestinal tract. The data can indicate overgrowths of
specific organisms such as Bacteroides and low numbers of critical organisms
such as Eschericia coli, Lactobacillus and Bifidobacterium spp. These
data can lead to developing strategies for reconstituting the bowel
flora. The faecal lipid data can further indicate evidence for dysfunctional
bowel flora and in addition, detect evidence for malabsorption and the
functional activities of the anaerobic organisms in their interconversions
of bile and sterol products.

1. Holmes GP, Kaplan JE, Gantz NM, et al. Chronic fatigue syndrome: A
working case definition. Ann Intern Med 1988; 108:387-389.
2. Fukuda K, Straus SE, Hickie I, et al. The chronic fatigue syndrome:
A comprehensive approach to its definition and study. Ann Intern Med 1994;
121:953-959.
3. McGregor NR, Dunstan RH, Zerbes M, Butt HL, Roberts TK, Klineberg IJ.
Preliminary determination of a molecular basis to chronic fatigue syndrome.
Biochem Molecul Med 1996; 57: 73-80.
4. McGregor NR, Dunstan RH, Zerbes M, Butt HL, Roberts TK, Klineberg IJ.
Preliminary determination of the association between symptom expression
and urinary metabolites in subjects with chronic fatigue syndrome. Biochem
Molec Med 1996; 58:85-92.
5. McGregor NR, Dunstan RH, Butt HL, Zerbes M, Roberts TK, Klineberg IJ
(1997). A preliminary assessment of the association of SCL-90-R psychological
inventory responses with changes in urinary metabolites in patients with
chronic fatigue syndrome. J Chronic Fatigue Syndrome 3:17-37
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