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Erschienen in: Journal of Translational Medicine 1/2017

Open Access 01.12.2017 | Review

The European ME/CFS Biomarker Landscape project: an initiative of the European network EUROMENE

verfasst von: Carmen Scheibenbogen, Helma Freitag, Julià Blanco, Enrica Capelli, Eliana Lacerda, Jerome Authier, Mira Meeus, Jesus Castro Marrero, Zaiga Nora-Krukle, Elisa Oltra, Elin Bolle Strand, Evelina Shikova, Slobodan Sekulic, Modra Murovska

Erschienen in: Journal of Translational Medicine | Ausgabe 1/2017

Abstract

Myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS) is a common and severe disease with a considerable social and economic impact. So far, the etiology is not known, and neither a diagnostic marker nor licensed treatments are available yet. The EUROMENE network of European researchers and clinicians aims to promote cooperation and advance research on ME/CFS. To improve diagnosis and facilitate the analysis of clinical trials surrogate markers are urgently needed. As a first step for developing such biomarkers for clinical use a database of active biomarker research in Europe was established called the ME/CFS EUROMENE Biomarker Landscape project and the results are presented in this review. Further we suggest strategies to improve biomarker development and encourage researchers to take these into consideration for designing and reporting biomarker studies.
Abkürzungen
AB
antibody
APRIL
a proliferation-inducing ligand
BAFF
B-lymphocyte activating factor
CCC
Canadian Consensus Criteria
CD
cluster of differentiation
CDC
Fukuda Criteria (Centers for Disease Control and Prevention)
CFS
chronic fatigue syndrome
COMT
catechol-O-methyltransferase
COST
Cooperation in Science and Technology
CRP
C-reactive protein
EBNA
EBV nuclear antigen
EBV
Epstein–Barr virus
EU
European Union
EUROMENE
European Network on Myalgic Encephalomyelitis/Chronic Fatigue Syndrome
HSP
heat shock protein
Ig
immune globuline
IL
interleukine
MBL
mannose binding lectin
ME
myalgic encephalomyelitis
MeSH
medical subject headings
NIH
National Institutes of Health
NK
natural killer cells
RNA
ribonucleic acid
SOP
standard operating procedure
TGF
transforming growth factor
TNF
tumor necrosis factor
US
United States of America
VCA
viral capside antigen
XMRV
xenotropic murine leukemia virus-related virus

Biomarker in ME/CFS

Although the exact pathogenesis of myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS) is still unknown, the most plausible hypothesis is that it is a complex multifactorial syndrome in which immunological and environmental factors play a crucial role. In addition, the severe fatigue, post-exertional malaise, cognitive impairment, and autonomic dysfunction that delineate the disease point to the involvement of both the nervous system as well as metabolic disturbances [1]. Infection by various pathogens, including herpes viruses and enteroviruses, but also intracellular bacteria, are known as triggers of disease. The complex clinical picture and the disagreement on potential pathomechanisms make ME/CFS a controversial entity and compel the research for disease biomarkers that could aid in the diagnostic and clinical management. Biomarker per definition may include both markers with a certain sensitivity and specificity for diagnosing ME/CFS as well as those which may allow to classify subtypes of the disease, be of value as indicators of prognosis, and to be predictive for response to treatment [2].

The EUROMENE ME/CFS Biomarker Landscape project

EUROMENE is a network of researchers and clinicians from 17 European countries and one COST (Cooperation in Science and Technology) near neighbor country on ME/CFS supported by the European COST program within Horizon 2020 (http://​www.​cost.​eu/​COST_​Actions/​ca/​CA15111).
The aims of EUROMENE are to foster strategies for collaboration and harmonization of diagnosis and research, and to compile an inventory of clinical and scientific data in ME/CFS. The Biomarker working group will also try to develop guidelines for the usage of biomarkers and synchronization of biomarker research.
As a first step, a database for active biomarker research in Europe was established called the EUROMENE ME/CFS Biomarker Landscape project. To achieve this, EUROMENE members performed a search for publications on biomarkers within their countries. The search strategy used the medical subject headings (MeSH) term “chronic fatigue syndrome”, which includes myalgic encephalomyelitis, and the respective country, and selected all publications from the last 5 years (2012–2016). The searches were reviewed by members of the biomarker working group. Studies not involving patients with ME/CFS, non-biomarker, and sole treatment studies were excluded, only one review article was included.
A total number of 39 studies were identified. Studies were categorized as being immunological, infection-related, metabolic or neurological. We summarize the findings in Fig. 1, which shows the number and type of studies identified in each country, represented by pie charts—their sizes being proportional to the number of identified studies, and their pieces representing the distinct categories of the studies. The number of research groups working on ME/CFS biomarkers in the EU countries is also illustrated in Fig. 1. Countries from which no publications on ME/CFS biomarker could be retrieved are shown in light green/grey, and European countries not participating in the EUROMENE are shown in white. The references listed per countries are shown in Table 1.
Table 1
ME/CFS biomarker studies in Europe 2012–2016
Country
Category
Study references
Belgium
Metabolic
[27]
Immunologic
[3]
France
Metabolic
[28, 29]
Germany
Metabolic
[30]
Immunologic
[47]
Neurologic
[23]
Ireland
Immunologic
[8]
Italy
Metabolic
[3134]
Infection
[18, 19]
Latvia
Infection
[20, 21]
Netherlands
Metabolic
[35, 36]
Norway
Metabolic
[37]
Immunologic
[9, 10]
Neurologic
[24, 25]
Poland*
Immunologic
[11]
Serbia
Metabolic
[38]
Spain
Metabolic
[39]
Immunologic
[12]
Infection
[22]
Sweden
Immunologic
[13]
UK
Metabolic
[40, 41]
Immunologic
[1417]
Neurologic
[26]
* Non-EUROMENE country
Studies on immune markers (n = 15) in ME/CFS explored immunoglobulins, autoantibodies, cytokines, and immune cell phenotype and function (summarized in Table 2) [317]. Four of 5 of the studies on ME/CFS-associated infection markers were focused on XMRV and confirmed the absence of this virus in European ME/CFS cohorts [1822]. Neurological biomarker studies (n = 4) focused on neurotransmitter regulation, but excluded imaging and functional studies [2326]. The papers which could be retrieved for potential metabolic markers (n = 15) studied mitochondrial dysfunction, oxidative stress, cortisol regulation, and more comprehensive metabolic pathways [2741].
Table 2
Immune marker studies
Marker(Ref)
Design of study
ME/CFS pat. n/diagnostic criteria
Controls n/age- and sex-matched
Sub group analysis
Validation cohort
Results in ME/CFS compared to healthy controls
Immunoglobulins (Ig), MBL [4]
Confirmatory
300/CCC
Reference range
Yes
168
25% diminished Ig
25% elevated Ig
15% MBL diminished
B cells [4]
 
65/CCC
20/no
 
20
B cell subsets not altered
IgG3 IgE COMT [5]
Exploratory
76/CCC
74/no
Yes
No
COMT rs4680 is associated with IgG3 and IgE levels
EBV-specific IgG
EBV-B and T cells [7]
Confirmatory
Exploratory
63/CDC
17
57/no
12/no
Yes
387
No
More EBNA-IgG neg.
More VCA-IgM pos
EBV B-/T cells lower
HSP60 auto-antibodies [13]
Exploratory
69/CCC
76/no
Yes
61
Few IgG epitopes specific for ME/CFS
Neurotransmitter-receptor auto-antibodies [6]
Exploratory/confirmatory
268/CCC
108/yes
Yes
No
Elevated β2 adrenergic, M3/4 cholinergic receptor antibodies in a subset of ME/CFS
Cytokines [10]
Exploratory
120/CDC
68/yes
Yes
No
Multiple cytokines no differences
Cytokines [8]
Exploratory
48/CDC
35/no
No
No
Elevated CRP, TNF-alpha and IL-6 levels
Cytokines [15]
Review
38 papers
   
TGF-β levels elevated in 5 of 8 studies (63%)
Cytokines [3]
Exploratory
16/CDC
14/yes
No
No
Increase of IL-1b, IL-8, IL-10 and TNF-alpha levels
BAFF, APRIL [9]
Exploratory
70/CCC & CDC
56/no
Yes
No
Elevated BAFF baseline
APRIL not altered
T cells [11]
Exploratory
139/CDC
40/no
Yes
No
Increased CD38 expression on CD8+ T cells
NK, T and B cells [12]
Exploratory
22/CDC
30/no
No
No
Treg higher, Tem lower, NK cell CD69, NKp46 higher, CD25 lower, B cell subsets not altered
B cells [16]
Exploratory
38/CCC & CDC
32/yes
No
No
Increased CD24 expression on total B cells
Elevated number of CD21+ CD38− B cells
B cells [14]
Exploratory
33/CCC & CDC
24/yes
No
No
Increased number of naïve and transitional B cells
miRNA in immune cell subsets [17]
Exploratory
35/CCC & CDC
50/no
No
No
34 miRNAs upregulated in NK, B cells and monocytes
Diagnostic criteria: CDC the Centers of Disease Control or Fukuda Criteria [49], CCC Canadian Consensus Criteria

Discussion

So far there is no single biomarker available for diagnostic use in ME/CFS. Most studies identified here were exploratory in design and lack sex and age-matched control groups or validation cohorts thus having a low evidence level as summarized for the immune marker studies in Table 2 [42]. Some studies report inconsistent data, too. For example an expansion of transitional and naïve B cells and reduced plasmablast levels was reported in one study [14], but could not be confirmed in two other studies [4, 12]. Immune cell phenotype and function analyses are, of course, hampered by variations in sampling and methodological differences between laboratories as most flow cytometric assays are not standardized. Further, immunological biomarkers reported mostly show alterations in subgroups only or with wide overlap to healthy control groups. Such heterogeneous results may be related to the fact that subgroups of ME/CFS patients exist with different immunological pathomechanisms. This concept is supported by the existence of clinical subgroups with heterogeneity in disease onset (infection- versus non-infection triggered), the variability of immune-associated symptoms, and the divergent response to B cell depletion therapy [43]. Research activity in infection markers on ME/CFS across Europe is sparse; however, there is currently no evidence from the available literature that there is a specific serological signature aiding in diagnosis of ME/CFS.
Similar to immunological markers, there is no single neurological or metabolic marker with sufficient specificity and sensitivity as a tool in ME/CFS diagnosis yet. However, recent studies analyzing multiple metabolites could show specific alterations in the majority of ME/CFS patients [37, 4446] pointing to a probably common and specific metabolic profile. Further, metabolic studies consistently revealed different gender-related patterns [37, 44, 46]. Thus, instead of searching single markers fitting for diagnosing all patients, multiplexed determinations of biomarkers analyzing pathways together with patient stratification, may be necessary to develop diagnostic assays with sufficient sensitivity and specificity [47].

Conclusions

Heterogeneity of biomarker studies with different case definitions, low number of patients, lack of matched control groups, missing validation studies and potentially subgroup heterogeneity are possible reasons why no diagnostic biomarkers are available yet. Further, as result of the low amount of funding in CFS/ME research few and often small studies were performed so far. Therefore, strategies to improve the quality and to facilitate the comparability of biomarker studies are needed (summarized in Table 3). This starts with well-defined patient cohorts using strict case definitions [47], standardized and quantitative symptom assessment for subgroup analyses, well-defined age- and sex-matched controls, and large enough cohort size and a predefined hypothesis to power the statistical analysis. Detailed description of cohorts, assays performed and results achieved are important to facilitate confirmation studies. Reproducing results in cohorts from different countries, developing Standard Operating Procedures (SOPs) for assays, and multi-center studies are important steps for evaluating the suitability of biomarkers of interest as diagnostic markers. The building of translational networks of clinical and basic research groups like promoted in EUROMENE is an important first step to achieve such goals. Finally, to promote research it is crucial to increase funding for ME/CFS which is currently still far below the budget funds for most other serious diseases in both the EU and the US funding agencies, such as the National Institutes of Health (NIH) [48].
Table 3
Strategies for development of diagnostic biomarkers in ME/CFS
1. Standardization of sample collection and assay procedures
2. Use of an uniform clinical case definition
3. Use of questionnaires to assess symptoms and severity to define subgroups
4. Stratification of patients according to sex, disease onset, and disease duration
5. Include sex- and age-matched control groups
6. Sufficient sample size and predefined hypotheses (statistical power)
7. Confirmation of results in validation and multi-center cohort studies
8. Study combinations of biomarkers, perform pathway analysis or functional studies

Authors’ contributions

CS designed the study and research guidelines, reviewed data received from the different partner countries. CS and JB were major contributors in writing the manuscript. HF reviewed and analyzed the data, did research for the non-EUROMENE countries and prepared figures and tables. All other authors collected and reviewed data for their own country. MM is head of the EUROMENE cooperation group within COST network. All authors read and approved the final manuscript.

Acknowledgements

This article is based upon work from COST Action CA 15111: European Network on Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (EUROMENE).

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

All data generated or analyzed during this study are included in this published article.
Not applicable.
Not applicable.

Funding

COST Action CA 15111: European Network on Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (EUROMENE).

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
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Metadaten
Titel
The European ME/CFS Biomarker Landscape project: an initiative of the European network EUROMENE
verfasst von
Carmen Scheibenbogen
Helma Freitag
Julià Blanco
Enrica Capelli
Eliana Lacerda
Jerome Authier
Mira Meeus
Jesus Castro Marrero
Zaiga Nora-Krukle
Elisa Oltra
Elin Bolle Strand
Evelina Shikova
Slobodan Sekulic
Modra Murovska
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
Journal of Translational Medicine / Ausgabe 1/2017
Elektronische ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-017-1263-z

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