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Infection Elicited Autoimmunity and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: An Explanatory Model

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Myalgic encephalomyelitis (ME) often also called chronic fatigue syndrome (ME/CFS) is a common, debilitating, disease of unknown origin. Although a subject of controversy and a considerable scientific literature, we think that a solid understanding of ME/CFS pathogenesis is emerging. In this study, we compiled recent findings and placed them in the context of the clinical picture and natural history of the disease. A pattern emerged, giving rise to an explanatory model. ME/CFS often starts after or during an infection. A logical explanation is that the infection initiates an autoreactive process, which affects several functions, including brain and energy metabolism. According to our model for ME/CFS pathogenesis, patients with a genetic predisposition and dysbiosis experience a gradual development of B cell clones prone to autoreactivity. Under normal circumstances these B cell offsprings would have led to tolerance. Subsequent exogenous microbial exposition (triggering) can lead to comorbidities such as fibromyalgia, thyroid disorder, and orthostatic hypotension. A decisive infectious trigger may then lead to immunization against autoantigens involved in aerobic energy production and/or hormone receptors and ion channel proteins, producing postexertional malaise and ME/CFS, affecting both muscle and brain. In principle, cloning and sequencing of immunoglobulin variable domains could reveal the evolution of pathogenic clones. Although evidence consistent with the model accumulated in recent years, there are several missing links in it. Hopefully, the hypothesis generates testable propositions that can augment the understanding of the pathogenesis of ME/CFS.
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February 2018 | Volume 9 | Article 2291
HYPOTHESIS AND THEORY
published: 15 February 2018
doi: 10.3389/fimmu.2018.00229
Frontiers in Immunology | www.frontiersin.org
Edited by:
Simona Zompi,
University of California,
San Francisco, United States
Reviewed by:
DeAunne Denmark,
Open Medical Institute (OMI),
United States
Maureen Hanson,
Cornell University, United States
*Correspondence:
Jonas Blomberg
jonas.blomberg@medsci.uu.se
Specialty section:
This article was submitted to
Microbial Immunology,
a section of the journal
Frontiers in Immunology
Received: 01September2017
Accepted: 26January2018
Published: 15February2018
Citation:
BlombergJ, GottfriesC-G,
ElfaitouriA, RizwanM and RosénA
(2018) Infection Elicited Autoimmunity
and Myalgic Encephalomyelitis/
Chronic Fatigue Syndrome: An
Explanatory Model.
Front. Immunol. 9:229.
doi: 10.3389/fimmu.2018.00229
Infection Elicited Autoimmunity and
Myalgic Encephalomyelitis/Chronic
Fatigue Syndrome: An Explanatory
Model
Jonas Blomberg1*, Carl-Gerhard Gottfries2, Amal Elfaitouri3, Muhammad Rizwan1
and Anders Rosén4
1 Department of Medical Sciences, Uppsala University, Clinical Microbiology, Academic Hospital, Uppsala, Sweden,
2 Gottfries Clinic AB, Mölndal, Sweden, 3 Department of Infectious Disease and Tropical Medicine, Faculty of Public
Health, Benghazi University, Benghazi, Libya, 4 Department of Clinical and Experimental Medicine, Division of Cell
Biology, Linköping University, Linköping, Sweden
Myalgic encephalomyelitis (ME) often also called chronic fatigue syndrome (ME/CFS) is
a common, debilitating, disease of unknown origin. Although a subject of controversy
and a considerable scientific literature, we think that a solid understanding of ME/
CFS pathogenesis is emerging. In this study, we compiled recent findings and placed
them in the context of the clinical picture and natural history of the disease. A pattern
emerged, giving rise to an explanatory model. ME/CFS often starts after or during an
infection. A logical explanation is that the infection initiates an autoreactive process,
which affects several functions, including brain and energy metabolism. According to
our model for ME/CFS pathogenesis, patients with a genetic predisposition and dysbi-
osis experience a gradual development of Bcell clones prone to autoreactivity. Under
normal circumstances these Bcell offsprings would have led to tolerance. Subsequent
exogenous microbial exposition (triggering) can lead to comorbidities such as fibromy-
algia, thyroid disorder, and orthostatic hypotension. A decisive infectious trigger may
then lead to immunization against autoantigens involved in aerobic energy production
and/or hormone receptors and ion channel proteins, producing postexertional malaise
and ME/CFS, affecting both muscle and brain. In principle, cloning and sequencing
of immunoglobulin variable domains could reveal the evolution of pathogenic clones.
Although evidence consistent with the model accumulated in recent years, there are
several missing links in it. Hopefully, the hypothesis generates testable propositions
that can augment the understanding of the pathogenesis of ME/CFS.
Keywords: chronic fatigue syndrome, myalgic encephalomyelitis, irritable bowel syndrome, postexertional
malaise, autoimmunity
INTRODUCTION
ME/CFS is a common disease of unknown etiology characterized by postexertional malaise (PEM;
a type of fatigability), cognitive disturbance, unrefreshing sleep, autonomic nerve dysfunction, and
a few characteristic comorbidities, see, e.g., Ref. (13). It oen starts with an infection and has a
strong tendency to remain a chronic condition.
TABLE 1 | Some outstanding questions regarding ME/CFS, which are addressed
in this conceptual review.
The hypothesis gives rise to several verifiable general questions
What is the nature of the genetic predisposition?
Can the infection history of ME/CFS patients be traced?
Does it differ from those of other diseases, e.g., autoimmune ones?
Is there a common sequence of infection, postexertional malaise, and comor-
bidity occurrence during ME/CFS pathogenesis?
Can defects in tolerance development be detected in ME/CFS patients?
Can the path of Bcell clones from germ line to various autoreactivities be traced
in ME/CFS patients?
Which autoantibodies can be detected in ME/CFS patients and its comorbidities?
Can clues to ME/CFS biomarkers be derived from this explanatory model?
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ME/CFS diagnostic criteria have gradually become more
stringent, see, e.g., Ref. (27). ese are based on somatic,
oen self-reported symptoms (8, 9). Although oen used inter-
changeably, studies using the “CDC,” (also called the “Fukuda”)
criteria (5) mainly use the term “CFS,” while those using the
“Canada” (3) or International consensus (2) criteria use the
term “ME.” is creates an ambiguity, which may explain
some contradicting results. ere are so far no specic labora-
tory tests (10) for ME/CFS diagnosis. Recently, a committee
recommended a new name for ME/CFS, systemic exhaustion
intolerance disease (SEID) (11, 12) with diagnostic criteria
that emphasize PEM as the central ME/CFS symptom (13).
e disease entity ME/CFS is not uncontroversial. Like many
times before in medical history, psychiatric and somatic
explanations compete with each other. A recent critical review,
which emphasized psychiatric aspects, stated that “there is no
convincing pathogenesis model for CFS” (14). However, in this
review, we forward that evidence for a somatic origin of the
disease is accumulating.
From a research perspective it is important that patients are
diagnosed using strict criteria. A thorough clinical examination
is necessary. It does not matter how sophisticated the analyses
are in a study if patient selection is ambiguous. In the case of
“fatigue” it is important to distinguish ME/CFS fatigue from
other types of fatigue, such as burnout syndrome and depres-
sion, see, e.g., Ref. (15). In ME/CFS, repetition of a physical or
mental exertion can reveal objective evidence of fatigability.
is exertion-elicited fatigue, PEM, is required for the diagnosis
of ME/CFS using the Canadian criteria (3), the International
consensus (2), and the SEID (12), but not using CDC (5) cri-
teria. Although the term “ME/CFS,” encompassing both “ME”
and “CFS,” has a built-in ambiguity it covers much of the current
studies and is operationally judged as the best available concept.
Fatigue similar to PEM also occurs in Sjögren’s syndrome (SS),
primary biliary cholangitis (also named primary biliary cir-
rhosis) (PBC), and systemic lupus erythematosus (SLE). e
relation of ME/CFS to the similar condition Gulf War Illness
(GWI) is uncertain, see, e.g., Ref. (16). However, a recent study
describes a laboratory-based distinction between the two ill-
nesses (17).
Recent ME/CFS reports brought optimism (18). National
Institutes of Health in the US announced that it will prioritize the
disease. Cornerstones are studies on PEM (12, 19) and eects of
immunosuppressive treatment (2022) although not substanti-
ated in a phase III trial.
ere are several partly competing explanatory models for
ME/CFS, for example; autoimmunity, chronic infection, energy
metabolic defect, imbalance in autonomous nervous system and/
or hormones, and psychosomatic dysfunction. In this laboratory-
oriented review, we present an overview of recent ndings and
attempt to bring a substantial portion of ME/CFS symptoms and
its disease history into one explanatory model. e model draws
analogies from more established autoimmune diseases (even if
much remains to be understood in these too) is based on clinical
experience and on recent immunometabolic results. Clues for
further research are given in Tab l e 1 and as separate statements
in the text.
TRYING TO PLACE IT ALL UNDER ONE
UMBRELLA: A HYPOTHESIS FOR ME/CFS
PATHOGENESIS
We propose a pathogenetic model reminiscent of current think-
ing on the pathogenesis of autoimmunity.
A genetically predisposed person (A) is exposed to successive
infections (B), e.g., in the gastrointestinal tract—manifested as
dysbiosis or irritable bowel syndrome (IBS)—or in the airways,
with microbes carrying epitopes mimicking human self-epitopes,
or microbes which activate autoreactive Bcells to produce the
so-called natural antibodies with non-rearranged germ line
immunoglobulin genes. Such autoreactive Bcells may be deleted
or persist in a state of anergy (C). A proportion of these Bcells
remain in spleen and lymph nodes as memory IgM+, IgA+, or
IgG+ Bcells (D). Individuals dier in time and extent of encoun-
ters with autoreactivity eliciting microbes. Some encounters are
here postulated to give rise to autoantibodies (E) against key
enzymes in energy metabolism hence causing a defective aerobic
energy metabolism and PEM, the central symptom of ME/CFS,
others to bromyalgia (FM), yet others to postural orthostatic
tachycardia syndrome (POTS) or other comorbidities. If the
autoimmunization events are independent of each other they
can occur in any order. If there are cooperativity eects they may
follow a rather specic order (F). e upper case letters refer to
stages in Figures1 and 2.
us, the basic property of ME/CFS patients would be a
defect in tolerance coupled with a chance exposure to microbes
carrying relevant mimicking autoantigen epitopes.
e italicized text of Figure1 shows a hypothetical expla-
nation of the events behind ME/CFS. A known function of
microbes in the gut is to train, from within, the immune
system to recognize and react correctly to microbes (including
bacteria and viruses), which come from the outside (2529).
e correct reaction includes, among other things, anergy and
unresponsiveness to microbial antigens that cross-react with
self-antigens. It is known that ME/CFS patients oen have IBS
(3032). In this IBS there is also a modied gut ora (33, 34).
A less symptomatic gut dysbiosis may also occur (33, 35). In
addition, there is also occasional epithelial barrier leakage of
gut microbes. It is reasonable to assume that the innate mucosal
immunity defenses have been breached or that peripheral
tolerance maintenance (training function) of the gut ora has
FIGURE 1 | Approximate course of events during which ME/CFS develops, and overview of the explanatory model. The postulated immunometabolic energy
block is shown as an antibody and a mitochondrion. Italicized text refers to the explanatory model presented under “Trying to place it all under one umbrella.”
Abbreviations are explained in the text.
FIGURE 2 | Mutational fate of a hypothetic germ line immunoglobulin heavy
chain sequence (Vhy) in successive Bcell clones, which gradually expand
their paratope diversity in interplay with gut microbiota, Tcells, and dendritic
cells. If there is a chronic antigen stimulation, sequences more or less close
to germ line sequence may be selected. Resulting Bcells are stored as
memory cells in germinal centers of gut-associated lymph nodes. Some
of the developmental branches end due to clonal anergy or deletion
(tolerization). Others are postulated to descend along a path to autospecificity
due to an abnormality in gut commensal spectrum. An exogenous, triggering,
antigenic stimulation (e.g., infection), eventually leads to overt pathogenic
autospecificity (“evil” Bcell clones, magenta) and ME/CFS. Similar fates of
other Bcell clones, which eventually turn autopathic and give comorbidities,
are indicated under “F.” Characters A–F in bold refer to the stages mentioned
under “Trying to place it under one umbrella.” This figure was inspired by
work on the autoreactive clone VH4-34 (23, 24).
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oen leads to tolerance (36). When there is microleakage toler-
ance may not function properly leading to loss of checkpoints
that normally prevent development of autoreactivity (3742).
e prole of Bcell subpopulations is dierent in ME/CFS
compared with controls (43). A factor behind that could be
new memory Bcells with autoreactivity, which normally would
be sorted out, arising and persisting. When the body is exposed
to a new infection, these B cells could produce antibodies
which react both to microbe and autoantigen. Autoantibodies
and Tcells that recognize self-peptides can damage cells which
carry autoantigens. is is the so-called mimicry (antigen
similarity) theory behind autoimmune disease (44). Part of the
explanation for ME/CFS would then be the disturbed gut ora
and microleakage from the gut. At the le side of Figure1 is
written “Genetic predisposition.” is is compatible with the
increased frequency of ME/CFS in certain families. Like for
many other common diseases ME/CFS could depend on both
inheritance and environment.
If this hypothesis is correct, a tendency for autoreactivity
would arise gradually, via a changed gut ora and microleakage
from the gut. Aer a decisive immunization event autoim-
munity leading to ME/CFS would arise, as shown in Figure1.
e prerequisites for autoimmunity would arise gradually
because Bcells with a tendency for autoimmunity would arise
aer recurring microleakage across the mucosal barrier of the
gastrointestinal tract inducing a state of chronic inamma-
tion. e normal contact between gut microbes and immune
system occurs at the gut/mucosa interphase. Central tolerance
oen develops by elimination of autoreactive Bcells. However,
a proportion of autoreactive Bcells remain which are kept unre-
sponsive (anergic). When there is microleakage, the mucosal
barrier is bypassed and tolerance may not be maintained.
Autoreactive Bcells can then be activated and dierentiate to
autopathic Bcells.
been disturbed. Normally, the mucosal immune system must
maintain tolerance to harmless foreign antigens including food
and commensal microbes. Presentation of antigens at mucosae
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e frequency of IBS, alterations in microbiome and extent of
microleakage should be further studied in ME/CFS. Attempts to
nd autoreactive Bcells to nd their origin and their evolution
should be made. Maybe it is possible to trace how they evolved
by systematic sequencing of their antigen-binding structures
(paratopes and idiotypes), from germ line to anti-gut microbe to
autoimmune clone?
GENETIC PREDISPOSITION AND
PREMORBID PHENOTYPE
ere is evidence for a strong genetic component in some auto-
immune diseases, such as complement component deciencies
in SLE which may lead to reduced self-antigen elimination.
Likewise, in ME/CFS, autoimmune diseases, for example, thyroid
disease (45), SS (46), and SLE (47), oen occur among relatives
and sometimes among the patients themselves.
Presence of an HLA association is a hallmark of many auto-
immune diseases. It indicates an aberrant immune presentation
to either cytotoxic Tcells (HLA Class I) or T helper cells (HLA
Class II) which predisposes for autoimmunity. One study found
an overrepresentation of HLA Class II DQA1*01, with an odds
ratio of 1.93 (48).
Specic cytokine gene polymorphisms were observed; an
increase of one, for TNFα, and a decrease of one, for IFNγ, were
found in CFS (49).
Recent genome-wide association studies showed an increased
frequency in ME/CFS of single-nucleotide polymorphisms (SNPs),
some isolated, some concentrated to three gene regions: microtu-
bule associated protein 7, CCDC7 (coiled-coil domain containing
7) and a T-cell receptor alpha chain gene (50). e latter may
conne an increased tendency to autoimmunity. e comorbidity
with autoimmune disease or disease having an increased preva-
lence of autoantibodies, e.g., FM (5157), IBS (5863), POTS (64),
and hypothyroidism (45, 51, 55, 6567), also indicate a tendency
for autoimmunity in ME/CFS patients (further detailed in the sec-
tion on autoreactivie B cell clones and autoantibodies, including
Tabl e 4). SS (46) and SLE (47) oen occur among relatives and
sometimes among the patients themselves.
IgG3 and mannose binding lectin deciency were more com-
mon among ME/CFS patients than in controls (102, 103). IgG
subclass deciency is more frequent in ME/CFS than in controls
(104, 105). Such deciencies could increase the risk of recurrent
infections.
In a genetic study concentrating on hormone and hormone
receptor genes, certain TRPM3 and CHRNA2 SNPs were found
to be more common in ME/CFS (106108).
Are There Also Epigenetic Changes
in ME/CFS?
DNA modication (methylation) of promoters of some genes
associated with immune cell regulation; glucocorticoid recep-
tors, ATPase and IL6 receptor, respectively, was reported to dier
between ME/CFS and controls (109). DNA methylation depends
on the one-carbon metabolism, where ME/CFS changes have
been recorded. Although the reason for such hypomethylation
can only be speculated upon, it is interesting that the combined
action of the vitamins B12 and folic acid play a fundamental role
in providing methyl groups to hundreds of substrates in various
elementary cell processes (see the section “can autoimmunity
explain energy metabolic disturbances and PEM”).
Gene Expression in ME/CFS
In a recent RNA-seq study, there were no specic RNAs expres-
sed in ME/CFS compared with healthy controls and other
chronic diseases (110). In another expression study, prominent
dierentially expressed genes were EIF4G1, EIF2B4, MRPL23,
which control RNA translation, in cytoplasm and/or mitochon-
dria (111). A dierential expression of genes crucial for T-cell
activation and innate response to viruses was also described
(111114) in CFS.
A novel angle was the report that the pattern in cerebrospi-
nal uid (CSF) and blood of another kind of RNA, the small
regulatory RNAs, diered between ME/CFS, GWI, and controls
(17, 115). Another pattern was found in FM (116). e
pathophysiological roles of the small regulatory RNAs are still
uncertain, but the ndings indicate additional levels of patho-
physiological regulation, which also could provide diagnosti-
cally useful biomarkers.
A prerequisite for calling a disease chronic is duration of at
least 6months. is oen means that one has not been able to
take samples during the period when the disease commenced.
A common situation is that the patients remember that ME/CFS
started with an infection, oen infectious mononucleosis (IM), or
a general virosis-like disease (117). When the acute infection with
fever, myalgia, and swollen lymph nodes and/or cough subsides,
a malaise and fatigability remains. According to the literature
approximately 70% of ME/CFS cases start rather abruptly in this
way. Others have a more gradual debut. e natural history of the
disease should be studied systematically.
In a few cases, ME/CFS appear epidemically, with several
cases being derived from a common index case. Even if epidemic
outbreaks are uncommon it indicates that the disease might be
contagious. Further epidemiological studies are needed.
MANY DIFFERENT INFECTIONS HAVE
BEEN OBSERVED AT THE OUTSET OF
ME/CFS LIKE DISEASE
ere is abundant evidence for infection as a trigger of chronic
fatigue in a more general sense (oen manifested as fatigability)
(68, 7274, 7779, 82, 84, 118128) (Tabl e2). But negative evidence
also exists (129, 130). Some of this evidence is inconclusive (131,
132). Whether all these instances of postinfectious fatigability have
identical properties (e.g., Do they fulll criteria for PEM?; For ME/
CFS?; How chronic are they?; etc.) should be systematically investi-
gated. ese infections can be traced in the patient history, by direct
detection of the microbe(s) (133), or by detection of antibodies to
the microbe(s) (94, 119, 133146), see, however, Ref. (147).
How oen does it happen that spouses are aicted? is
would advocate a transmissible factor rather than inheritance.
Epstein–Barr virus (EBV) seems to be a frequent trigger of
ME/CFS (also referred to as “postviral fatigue”). Glandular fever
TABLE 2 | Long-standing fatigue, or fatigability, after an infection.
Microbe Infection Diagnostic term Approximate % of fatigued post infection Reference
Epstein–Barr virus Infectious mononucleosis Postviral fatigue 11% (6months); 4% (12months) (68, 69)
Coxiella burnetii Q fever Post Q fever fatigue 10–20% (6–12months) (6971)
Giardia lamblia Giardiasis Post Giardia fatigue <1% (12months) (72, 73)
Ross River virus Ross River virus infection Post Ross River fatigue 11% (6months); 9% (12months) (69, 74)
Chikungunya virus Chikungunya virus infection Post Chikungunya fatigue (often together
with arthralgia)
20% over background (12months) (75, 76)
West Nile virus West Nile virus infection Post West Nile fatigue 31% (6months) (7779)
Dengue virus Dengue fever Post Dengue fatigue 8% (2months) (80, 81)
Ebola virus Ebola hemorrhagic fever Post Ebola fatigue Not clear, at least 10% (6months) (82, 83)
SARS corona virus Severe acute respiratory syndrome Post SARS syndrome Approximately 22/400=6% (12months) (84)
5
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(127), also called IM, is most frequently caused by EBV. A rea-
sonably specic laboratory test for IM (the “Mono” test) is based
on heterophilic antibodies, which bind to carbohydrate antigens
on non-human erythrocytes (148150). If infectious triggers of
ME/CFS are investigated, a positive Mono test provides an oen
recorded marker. Other infections are oen not diagnosed as
objectively. EBV belongs to the herpes virus family. It can infect
and remain latent in B cells. At primary infection, EBV trig-
gers massive activation of multiple Bcell clones each secreting
monoclonal antibodies which are coded by immunoglobulin
heavy and light (IGH and IGL) chain genes with unique vari-
able [immunoglobulin heavy chain variable (IGHV) and IGLV]
genes, with the so-called complementarity-determining regions.
e result is a polyclonal B cell stimulation, with massive
release of natural antibodies, including autoreactive antibodies.
Besides Bcell growth stimulation, EBV stimulates production
of EBI3, one of two chains of the tolerance-control heterodimer
cytokines IL27 and IL35 (151). us, EBV is deeply inuencing
immune functions. EBV is also coding for antigens with highly
repetitive structure (e.g., Gly–Ala–Gly–Ala repeats in EBNA1).
is may be a source for antigenic mimicry and development
of autoreactivity. Both the B cell growth stimulation and such
antigenic mimicry make EBV a prime suspect of inducing
autoreactivity. ere is a correlation between occurrence of IM
and the autoimmune diseases MS (152154) and SLE (155158).
How EBV is involved, be it frequent reactivations of latent EBV
or defects in the Tcell and NKcell surveillance mechanisms
against the virus, is not clear, but the presence of EBV, and the
immune response to it, should be compared in ME/CFS, MS,
and SLE, see Ref. (134).
Summarizing, EBV is especially interesting as a facilitator
of autoreactivity. Some autoantibodies may have an origin in a
mimicry between EBV antigen and self-antigens. EBV is a ubiq-
uitous virus. EBV can stimulate thousands of Bcells to produce
thousands of dierent antibodies, each with its own unique
antigen-binding site. It oen occurs as an eliciting factor trig-
gering ME/CFS, in this case referred to as “postviral fatigue.” As
mentioned, it stimulates growth of a wide variety of Bcells, and it
has viral proteins that can give rise to autoantibodies (159, 160).
Transmissibility is a microbial property. Most ME/CFS cases
are sporadic (118). However, there are a few recorded outbreaks,
where healthy ME/CFS patient contacts developed symptoms of
the disease (118, 161), forming ME/CFS outbreaks in ME/CFS,
indicating a transmissible agent.
Many observations support that a condition similar to ME/
CFS occurs in approximately 10% of those who had Q fever, an
infection with the bacterium Coxiella burnetii (69, 70, 74) which
oen occurs in outbreaks. Q fever is unevenly spread throughout
the world. ME/CFS is more widespread. Q fever is therefore
unlikely to be a common cause of ME/CFS, globally.
A chronic postinfectious fatigue/fatigability reminiscent of
PEM occurs aer a number of life-threatening virus infections
(Ta bl e 2 ). ere is not much antigenic similarity between these
infective agents. Many infections which fundamentally challenge
or reorganize the immune system give rise to a persistent, perhaps
autoimmune, malfunctioning state.
Note that the number of ME/CFS cases triggered by severe
zoonotic infections such as Ebola must be very small, on a global
scale. Besides IM, mild respiratory infections like those caused by
mycoplasma (162168) and chlamydia (164, 169, 170), or general
infections due to parvovirus B19 (136, 171) and herpes 6 and 7
(133), have been mentioned, although the diagnostic evidence is
not strong.
Although much remains unclear before the role of infection in
autoimmunity is understood, there are diseases where a known
antigenic challenge triggers autoimmune disease, an infection
(172) or a vaccination. Surprisingly oen it is the brain that is the
target for this autoimmunity (Table3).
In addition to commonly known microbes (virus, bacteria,
and protozoa), a large number of new ones have been discovered
during the last 5years (171, 173179). Many of them are viruses
which do not cause any known disease. We need to keep an eye
on these microbes. Maybe there are some among them which can
precipitate ME/CFS?
In these examples of infection elicited autoimmunity, the
microbial antigen mimics epitope(s) on human cells. Such
microbial epitopes may either be small molecules, like lipids, or
added to proteins posttranslationally (172), randomly similar
sequences, repetitive sequence motifs, or highly conserved anti-
genic structures.
An example of the former mechanism (posttranslational anti-
genic modication) is PBC. e antibodies are directed against a
small fatty acid molecule, lipoic acid, added posttranslationally to
a protein in the pyruvate dehydrogenase (PDH) enzyme complex.
PDH is part of the energy producing machinery at the surface of
mitochondria (180, 181), and governs the transition from glycoly-
sis (anaerobic energy metabolism) to the tricarboxylic acid cycle
and respiratory chain (aerobic energy metabolism), occurring
TABLE 3 | Autoimmune syndromes secondary to infections–association/hypothetical relationship.
Disease Microbe Type of microbe Mimicry (likely structure) Reference
Postinfectious encephalitis Measles, Varicella-zoster, etc. Virus Anti-myelin oligodendrocyte
glycoprotein and unknown antigens
(85, 86)
Guillain–Barré syndrome Campylobacter (primarily)
and Zika virus
Bacterium
and virus
Gangliosides; unknown antigen (87, 88)
“Nodding disease” Onchocerca volvulus Worm Unknown antigen (89)
Pediatric autoimmune neuropsychiatric
disorders associated with streptococcal
infection (PANDAS)
Streptococcus infections,
i.e., strep throat or scarlet fever
Bacterium Carbohydrate antigens? (90)
Multiple sclerosis Epstein–Barr virus and other
pathogens
Virus and bacteria Myelin basic protein, proteolipid protein,
and myelin oligodendrocyte glycoprotein
(91, 92)
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inside mitochondria. Lipoylation is a posttranslational modica-
tion, which also occurs in a few bacteria, such as Novosphingobium
(182). Gut infection with Novosphingobium is a possible cause of
PBC. e PBC patients have a PEM reminiscent of the PEM of
ME/CFS. Likewise, periodontal infection with Aggregatibacter,
which citrullinates its own as well as human proteins, may provide
the nal trigger for rheumatoid arthritis (183).
An example of the latter mechanism (conserved epitopes)
is a family of highly conserved proteins, which are present in
both humans and microbes, called “heat shock proteins” (HSP).
Antibodies against HSPs occur in many oen studied autoim-
mune diseases, for example, MS and SLE (94, 184188). We found
a higher frequency and levels of antibodies against a specic
portion of HSP60 in ME/CFS patients (94). Even though HSP60
is a mitochondrial protein it is unknown if these antibodies can
inuence mitochondrial function.
IMMUNOLOGICAL ASPECTS OF ME/CFS
How does autoreactivity develop? Much remains to be learned.
e adaptive portion of the immune system (B and Tcells) has a
formidable task, to distinguish “self” from “non-self,” i.e., autoan-
tigens from antigens of invading microbes. Aer an infection
the immune response is initially relying on players of the innate
immune system with natural antibodies, receptors for pathogen-
associated molecular patterns, danger-associated molecular
patterns, and DNA sensors for exogenous pathogens. However,
within a few weeks the immune system acquires a higher preci-
sion with the developing adaptive immune B and Tcells ensuring
that only the targeted microbe is destroyed. e target selection
(and tolerance development) may go wrong. Some microbial
targets are very similar to self-molecules. is is the basis for the
so-called molecular mimicry theory, although the evolutionary
lines for microbes and humans diverged long ago. ere are still
some structures, such as HSP, which have hardly changed at all
since then. An immune defense against them thus constitutes a
risk of promoting an autoreactive response.
So-called “natural antibodies,” which occur in all persons and
mostly are of IgM nature, oen both poly- and autoreactive, are
produced by a CD20+, CD27+, and CD43+ subset of Bcells
(189). One function of these natural antibodies is scavenging of
dead/apoptotic, damaged and infected cells. Only sometimes do
they result in disease. In a healthy person, Bcells that can produce
autoantibodies oen rest in an “anergic” state and do not produce
their potentially damaging antibodies. ey can be activated by
the so-called “cell danger” signals. Bcells which produce natural
IgM have regulatory functions (190). Such “innate” immune cells
which are on the border of auto- and alloreactivity may be start-
ing points for development of autoimmune disease.
Disturbance in the composition of the gut microbiome, dys-
biosis, has been detected in several diseases (3335, 86, 191195).
A major function of the microbiome probably is to train the
immune system (e.g., Tcells, Bcells, and dendritic cells) with a
large variety of antigens. Disturbance in it may lead to a defective
immune repertoire and imbalance of tolerance induction (196).
As the tools for studying microbiota gradually become more pre-
cise, the possibility of more or less specic changes in microbiota
predisposing to autoreactivity is increasingly being addressed.
is is the case for type 1 diabetes (27, 197, 198), multiple sclerosis
(199), rheumatoid arthritis (200), SLE (201), Behcet’s syndrome
(202), autoimmune gastritis (203), and ankylosing spondylitis
(204). ME/CFS patients also seem to have aberrations in their
gut microbiota (33, 192, 205, 206).
A symptomatic variant of gut dysbiosis, IBS (207), a common
comorbidity in ME/CFS, may inuence mucosal tolerance induc-
tion. Indeed, ME/CFS with IBS was suggested to be a distinct
subset of ME/CFS (208).
It is conceivable that if the mucosal barrier also is broken by
microleakage (28, 34, 37, 41, 192, 209210), tolerance develop-
ment may become impaired, facilitating development of autore-
activity (3742, 211213). Autoimmunity oen seems to be a hit
and run phenomenon. However, a chronic underlying infection
cannot be excluded, also in the ME/CFS case (214, 215).
e hypothesis presented in Figure 2 is based on ndings
regarding the IGHV gene sequence VH4-34 (23, 24) in SLE.
It elaborates the immunoevolutionary aspect of Figure 1.
Its explanatory model is similar to current thinking regarding
the pathogenesis of autoimmune disease. It tries to clarify the
genesis of autoreactive Bcell clones from germ line to patho-
genicity. e original specicity conferred to a B cell and
immunoglobulin by VH4-34 is anti-branched lactosamine
containing carbohydrates. is then gradually mutates, prob-
ably due to exposure to epitopes from commensal gut bacteria.
e original specicity exists in the beginning of a mutational
walk in the Vh genetic maze, an example of epistasis, where one
mutation facilitates other mutations during avidity maturation.
TABLE 4 | Occurrence of autoantibodies in ME/CFS and some of its comorbidities.a
Disease (frequency in ME/CFS),
reference
Antigen to which autoantibody occurs more often than in controls
Phospholipid Carbohydrate Hormone Hormone receptor Ion channel protein Other protein
ME/CFS Cardiolipin (54) Ganglioside (54)β-Adrenergic and
muscarinic cholinergic
(93)
HSP60 (94)
Fibromyalgia (35–73%) (95) Potassium channel
transporter (96, 97)
(hypo)Thyroidism (thyroiditis
by cytology, 40%, wide definition
of chronic fatigue) (98)
Thyroperoxidase
(45)
Thyroid-stimulating
hormone (99)
Postural orthostatic tachycardia
syndrome and/or orthostatic
hypotension (27%) (100)
Acetylcholine (101) Calcium channel
transporter (101)
Irritable bowel syndrome
(35–90%) (3032)
Vinculin and cytolethal
distending toxin B (58)
aThe list is not complete. More studies are needed to obtain better statistics. Some of these autoantibodies have the potential to become diagnostic biomarkers. Abbreviations are
explained in the text.
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Other unknown antigenic stimulations then give rise to various
autoantibodies, some with anti-DNA specicity. We hypoth-
esize that pathogenic autoantibodies in ME/CFS are created by a
similar mechanism. us, we postulate that a genetically predis-
posed person gets a deranged gut microbiome which gives rise
to apathogenic Bcells with a weak autospecicity. ey are not
eliminated due to a defective tolerance induction. Finally, these
clones are given an antigenic stimulation from an exogenous
infection which yields pathogenic Bcell clones. us, memory
Bcell clones with a paratope spectrum derived from germline
and subsequent exposure to commensal microbes, e.g., in gut,
may be an important intermediary step before development of
outright autoimmunity. It should be possible to follow the path
to autopathic clones by isolation and sequencing the variable
immunoglobulin chains in B lymphocytes in ME/CFS, like what
was done with VH4-34.
Autoreactive B Cell Clones and
Autoantibodies in ME/CFS
Several autoantibodies have been found in ME/CFS (54, 93,
94, 216222), and some of its comorbidities (Tabl e 4 ). is is
circumstantial evidence for ME/CFS being an autoimmune con-
dition. Especially interesting are the results where an increased
frequency of antibodies to certain hormone receptors was found
(93). Several ME/CFS symptoms may be explainable by receptor
interference from such autoantibodies.
In autoimmune conditions with pathological autoantibodies,
erroneously activated and mutated B cells are the root of the
evil (Figure2). ese should be studied in detail (43). One can
envisage large scale sequencing of immunoglobulin gene vari-
able domains of such clones to dene aberrant specicities, with
autoreactivity. A characteristic variation in Bcell subsets (43) has
been described in ME/CFS.
is should be studied systematically. At which time point did
these diseases manifest themselves, before or aer the ME/CFS
started? How large is the frequency of autoantibodies in patients
with these conditions, preferably measured simultaneously in
an antigen matrix? Maybe there are autoimmunity biomarkers
which could be used for ME/CFS diagnosis?
Cytokine Patterns in Blood and CSF
in ME/CFS
e immune system is engaged in ME/CFS (220). Several studies
have found changes in cytokine pattern in blood and CSF, and in
expression of cytokine genes (223231), especially aer exercise
(232238), concomitant with an increase in reactive oxygen spe-
cies (ROS) levels and a decrease of HSP70 concentration (239),
oen in connection with a “are,” an acute exacerbation of ME/
CFS symptoms (237, 238). A diculty is that cytokine patterns
(Tabl e 5) are inherently variable. e cytokine proles may be
dierent in dierent stages of the disease (225, 240).
A more permanent dysregulation of cytokines in plasma has
also been reported (223, 225, 226, 228, 230, 243), see Tab le 5.
A correlation with disease duration was seen (225, 242). A meta-
analysis showed that an increased level of TGFβ in plasma in
ME/CFS versus controls was the most consistent nding (227).
Cytokines in CSF were also deranged in ME/CFS (224, 228).
Tabl e 5 is a compilation from recent publications on cytokine
abnormalities in ME/CFS. A recent meta-analysis concluded that
many of the reported ndings are not reproducible (227). is
could reect dierent levels of physical activity, the volatile nature
of cytokine levels and methodological problems, such as collec-
tion, handling, and preparation of samples. ere could also be a
heterogeneity within the ME/CFS group which blurs the patterns,
see, e.g., Ref. (224, 234).
Whether there are cytokine changes aer exercise peculiar to
ME/CFS is a related subject (244). A recent meta-analysis con-
cluded that complement factor C4a split products, oxidative stress
markers and leukocyte expression of IL10 and toll-like receptor 4
genes are reproducibly dierent from controls in ME/CFS (233).
However, there may be subgroups within the ME/CFS group with
radically dierent reactions to exercise. A clear-cut dierence in
TABLE 5 | A selective list of cytokines whose concentrations were reported to change in ME/CFS.
Cytokine Body fluid Up- or downregulation Reference Comment
TGFαSerum +(225)
TGFβSerum +(226, 227) Most consistent finding, although one inconclusive (241)
TNFαSerum +(225) Elevated early after debut
IFN-γSerum +(225) Elevated early after debut
IL1αSerum +(225) Elevated in early stage of ME/CFS
Eotaxin-1 (CCL11) Serum , +(225, 226) Positively correlated with severity and low early after debut
Eotaxin-2 (CCL24) Serum +(223)
Leptin Serum (230) Inversely correlated with severity
IL13 Serum +(226) Positively correlated with severity
IL6 Serum +(242) Elevated early after debut
IL7 Serum (223)
IL8 Serum +(242) Elevated early after debut
IL10 Cerebrospinal fluid (228)
IL16 Serum (223)
IL17A Serum +(225) Elevated early after debut
VEGFαSerum (223)
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gene expression aer exercise between ME/CFS patients which
have POTS comorbidity, and those who do not, was found (234).
e activity of the so-called natural killer cells is also changed
(231, 244248) in ME/CFS. However, a negative report came
recently (249). e latter may be due to methodological dier-
ences. Both kinds of immune change (cytokines and immune cell
activity) are potential biomarkers and should be studied more.
Is There a General Defect in Tolerance
Development in ME/CFS?
Tolerance induction is a major property of the gut mucosal
immune system (196). A special kind of T helper cells, Treg, medi-
ate mucosal tolerance, and anergy of tolerized Bcell clones, via
IL10 and TGFβ. It may be more than a coincidence that a change
in TGFβ levels in serum was the most consistent cytokine change
in ME/CFS versus controls (Table5).
A defective tolerance development could in principle be
detectable as a tendency to develop autoimmune disease in ME/
CFS. e comorbidity between ME/CFS and better studied auto-
immune disorders such as SS (250), SLE, and multiple sclerosis
(251) is an indication of this. Fatigability, which may or may not
be related to the PEM of ME/CFS (252255), occurs as a major
symptom in some autoimmune (6, 184, 256261), mitochondrial
(262, 263) and infectious (264) diseases. Immunostimulation,
e.g., with Staphylococcal vaccine, theoretically could induce
tolerance to autoepitopes involved in ME/CFS pathogenesis
(265267). It was reported to be eective in ME/CFS in a double-
blind study (267). Symptom relief paralleled anti-staphylococcal
antibody presence (266), arguing for impaired development
of tolerance to autoepitopes of microbial origin in ME/CFS.
Further studies are needed.
A strong argument for Bcell-mediated autoimmunity in ME/
CFS has been the rituximAab eect (20, 22). Around 60% of
patients improved aer a lag period. Rituximab is a monoclonal
antibody directed against CD20, a surface antigen expressed on
the majority of Bcells. ey are killed when the antibody binds to
them. However, in a recent phase III trial there was no statistically
signicant eect observed (Mella, personal communication).
Until results of the trial are published, it is not known whether
this was due to a major placebo, or a minor rituximab, eect.
CD20 is mainly present on Bcells, but is neither expressed on
immature Bcells nor on most antibody producing cells such as
plasmablasts and plasma cells (268). Part of the problem may be
the subjective estimation of symptoms, prone to overestimation
of placebo eects. In future double-blind studies of treatments
for ME, objective symptom measures should be used to a larger
extent. Another confounding factor may be heterogeneity within
the ME/CFS patients although they were diagnosed according to
the Canada criteria. Detailed studies are strongly recommended.
Unpublished phase I and II studies have shown improvement
in ME/CFS patients aer treatment with the more unspecic
immunosuppressant cyclophosphamide (Fluge, personal com-
munication). It is another sign of autoimmunity contributing to
ME/CFS.
In autoimmunity dependent on autoantibodies, the errone-
ously activated Bcells are the root of the evil.
Increased Frequency of Lymphomas
in ME/CFS
Chronic immune stimulation increases the risk for Bcell lym-
phomas. is happens in many autoimmune diseases. In accord-
ance with the autoimmune hypothesis for ME/CFS presented
here, CFS patients have a greater risk of Bcell non-Hodgkin
lymphomas, in particular marginal zone lymphoma (OR=1.88,
95% CI = 1.38–2.57), compared with sex and age matched
controls (269).
In summary, the evidence for autoimmunity in ME/CFS is
indirect or circumstantial. It rests on the eect of immunosup-
pression (although unsubstantiated in a double-blind trial) of
anti-CD20, comorbidities with known autoimmunity (thyroiditis,
thyroidism) or possible autoimmunity (FM, POTS, IBS), prob-
able improvement aer immunostimulation, and an increased
frequency of certain autoantibodies and of Bcell lymphomas.
Of the Witebsky–Rose criteria for autoimmunity (270), direct;
transfer of disease by antibody, and indirect; transfer of disease
by cells to SCID mice, induction of disease by autoantigen,
FIGURE 3 | Metabolites and enzymes that are reportedly changed in ME/CFS. Molecules localized in energy metabolic organelles (peroxisome and mitochondrion),
and the whole cell, are shown in pink if increased in abundance and green if decreased in abundance. Changes may sometimes be visible only after exercise. The
blue “X” indicates a metabolic block implicated in ME/CFS (275). Normally functioning mitochondria convert oxygen to water through the respiratory chain. If the
aerobic energy production is impaired, some oxygen can be converted to hydrogen peroxide and reactive oxygen species (ROS). PPP is the pentose phosphate
pathway, an alternative pathway for energy production from carbohydrates. It produces the antioxidant NADPH. Together with glutathione, a product of one-carbon
metabolism, NADPH controls ROS accumulation (“Redox ctrl”). A panel including some of the marked molecules may be useful as biomarker for ME/CFS.
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identication of antibodies within lesions, genetic predisposition,
autoantibodies or self-reactive Tcells, a few (genetic predisposi-
tion and increased frequency of autoantibodies) are partially
fullled. Much work remains.
CAN AUTOIMMUNITY EXPLAIN ENERGY
METABOLIC DISTURBANCES AND PEM?
e objective measurement of energy metabolism by repeated
cardiopulmonary exercise testing revealed a defective aerobic
energy production in ME/CFS (19). is is manifested as an
abnormal fatigability. Fatigability, which may or may not be
related to the PEM of ME/CFS (252255), occurs as a major
symptom in some autoimmune (6, 184, 256261), mitochondrial
(262, 263) and infectious (264) diseases. It remains to be studied
how unique the PEM of ME/CFS is.
Several observations indicate that the oxygen dependent
(aerobic) energy metabolism is disturbed in ME/CFS (8, 19,
262, 271273) (Figure3; Tab l e 6 ). at disturbance may be the
reason for PEM. Mitochondria are the main producers of energy.
ey derive from α-proteobacteria which, over one billion years
ago, were taken up into eukaryotic cells, see, e.g., Ref. (274).
It is not unreasonable to guess that an immune defense against
an infecting bacterium can cause collateral damage to mitochon-
dria. While there must be protective mechanisms against this
(e.g., tolerization), they may not always work.
A new dimension for understanding ME/CFS was added
by recent publications (275, 279, 280, 282, 284). ey revealed
profound metabolic dierences between ME/CFS patients and
controls. Some of these changes may derive from an abnormal
mitochondrial function in ME/CFS. Whether these abnormali-
ties have an autoimmune origin is not known.
Evidence for Inhibition of Key Energy
Metabolic Processes in ME/CFS
A number of reports indicate a metabolic disturbance, indicative
of mitochondrial dysfunction (19, 273, 275, 276, 279, 280, 282,
284286) in ME/CFS. Evidence points to a defective aerobic
energy metabolism. e aerobic energy metabolism (TCA+res-
piratory chain) gives an around 10-fold higher yield of ATP per
glucose molecule than the anaerobic metabolism. ere are
similarities with PBC, a model of autoantibody mediated energy
blockade (180, 287292). In analogy with PBC, where IgG were
found to be energy inhibitory, circulating energy inhibitors have
been found in ME/CFS (275), although their molecular nature is
unknown. e demonstration of such inhibitors has the potential
TABLE 6 | Potential energy metabolic biomarkers for ME/CFS.
Metabolic role Metabolite or protein Body fluid Gain (+) or loss () in
ME/CFS vs healthy controls
Reference Comment
One-carbon metabolism Taurine Blood (276)
Homocysteine Cerebrospinal
fluid (CSF)
+(277)
Oxidation Reactive oxygen species
(peroxide, etc.)
Serum +(239, 278) Measured using thiobarbituric
acid reactive substances
Amino acid metabolism
(anaplerotic amino acids)
Leucine, isoleucine,
phenylalanine, and tyrosine
Blood (275)
Urea cycle and amino
acid metabolism
Citrulline Blood and urine (279)
Ornithine Blood and urine +(279)
Lipid metabolism Phospholipids, including
cardiolipin
Blood (280)
Acyl carnitine Blood (276, 280)
(Glyco)sphingolipids Blood (280)
Glycolysis Lactate Blood and CSF
(muscle)
+(271, 275, 281) Higher after exercise
(physical and mental)
Tricarboxylic acid
cycle (TCA)
Isocitrate Blood (279)
TCA Succinate Blood and urine (282)
TCA Aconitate hydratase protein Saliva +(283)
ATP synthase protein Saliva +(283)
ATP translocase Saliva (283)
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to explain the disease and create ecient diagnostic tests. It would
be logical if, like in PBC, these circulating inhibitors turned out to
be immunoglobulins, presumably directed against mitochondrial
proteins.
It is an important research task to compare PEM of PBC with
the PEM of ME/CFS, and PEM-like fatigability in other diseases.
Fibromyalgia is a common comorbidity of ME/CFS, which
also occurs in several established autoimmune conditions
(55, 293298). e delineation of ME/CFS from FM is sometimes
not straightforward. FM muscle displays metabolic abnormalities
(299, 300) reminiscent of those observed in ME/CFS. Besides the
comorbidity, there seem to be both common (myalgia, muscle
metabolic abnormalities, increased frequency of autoantibod-
ies) and distinct (PEM, cognitive disturbance) aspects of these
conditions.
Can a Defective Energy Metabolism Also
Explain the Cognitive Disturbances?
A decient energy supply may also cause cognitive disturbance
in ME/CFS (195). It can be elicited by both physical and mental
(301, 302) activity. In analogy with accumulation of lactate in
serum and muscle aer exercise, increased concentrations of
lactate in CSF have been found in ME/CFS (281, 303) and the
related condition GWI (304). ME/CFS-specic changes in the
CSF proteome which included accumulation of complement
components, a sign of antibody activity, were also described (305).
Homocysteine is part of the one-carbon metabolism, which
was reported to be deranged in ME/CFS patients, perhaps
as a compensation for other energy metabolic disturbances.
Homocysteine levels in CSF are a widely used marker of
reduced cognition. In 1997, an investigation of homocysteine
and vitamin B12 in CSF of patients who fulfilled the criteria
of both FM and chronic fatigue syndrome was carried out.
In comparison with a large healthy control group, all eleven
patients in the study had increased homocysteine levels in
CSF, although the blood levels were usually not increased. The
CSF-B12 level appeared to be generally low. The high CSF-
homocysteine and low CSF-B12 levels correlated significantly
with ratings of mental fatigue. The results were at the time
interpreted as suggesting a block of inflow over the blood
brain barrier of B12 and/or folic acid (277). The derangement
in one-carbon metabolism is supported by 20years’ experience
of vitamin B12 and B9 treatment in ME/CFS patients, which
tends to diminish impaired cognition (“brain fog”) (306). It is
not immediately evident why the one-carbon metabolic path-
way would change after a block of aerobic energy production.
The genesis of this metabolic aberration in ME/CFS should be
further studied.
e state of the one-carbon metabolism also has profound
epigenetic consequences. Both DNA and histone methylation
depend on the availability of S-adenosyl-methionine.
How Are Metabolic Disturbances
Related to the Flare after Exercise?
e “are” is a central event aer exercise, accounting for much
of the malaise in PEM.
A link between mitochondrial dysfunction and innate
immune dysregulation is suggested by recent immunometabolic
ndings which demonstrate that the energy producing organelles
(mitochondria and peroxisomes) are coupled via mitochondrial
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TABLE 7 | How do recent findings fit into the explanatory model?
Proposed step Finding Degree of fit with presented
explanatory model
Genetic predisposition GWAS: ME/CFS-specific single-nucleotide polymorphisms
in microtubule associated protein 7, CCDC7, and TCRα (50)
HLA: increase in DQA1*01 (48)
IgG subclass deficiency (102105)
Imperfect, needs deeper study
Presence of transmissible agent
not excluded
Changes in microbiota Reduced overall diversity (34, 191, 192)
Divergence more concentrated to certain taxa (33, 35)
Imperfect, needs deeper study
Gut microleakage Increased lipopolysaccharide (LPS), LPS-binding protein,
and sCD14 in blood (34, 192)
Imperfect, needs deeper study
Autoantibodies Yes, but maybe not disease specific (see Table4) Imperfect, needs deeper study
Triggering antigenic challenge Epstein–Barr virus infection is a common trigger, some
other infections also (see Table2)
Imperfect. Retrospective diagnosis
of infections is often problematic
Autopathic Bcell clones Removal of Bcells by anti-CD20 or other immunosuppressants
improves 50–60% of ME/CFS patients in phase I–II trials (2022)
Increased frequency of Bcell lymphomas in ME/CFS patients (269)
Larger study with as objective measures
as possible is necessary. Autologous
bone marrow transplantation could
give additional evidence
Defective tolerization
of autoreactive Bcell clones
Increased frequency of autoimmune disorders and comorbidities
in ME/CFS patients
Effect of microbial immune modulation (266, 321, 322)
Imperfect, needs deeper study
Disturbance of energy
metabolism
Clear evidence of energy metabolic disturbance (275, 276, 279, 280) Imperfect. Needs more observations,
especially with reference to exercise
Autoimmunity causing energy
metabolic disturbance
Circulating energy inhibitory factors demonstrated
(like in primary biliary cirrhosis) (275, 292)
Molecular nature of inhibitors is unknown.
If they are immunoglobulins, can they reach
intracellular targets?
antiviral signaling protein, a signaling molecule, to the inamma-
some, which can orchestrate release of inammatory cytokines
(307314). Another sign of mitochondrial derangement in ME/
CFS is the occurrence of ROS in serum, measured as increase
in thiobarbituric acid reactive substances or decrease of reduced
ascorbic acid (239, 278). ese tests may also become part of a
biomarker panel for ME/CFS. It was recently shown that oxida-
tion of a critical cysteine residue in pyruvate kinase M2, one of
the enzymes of the pyruvate dehydrogenase complex (PDC), can
lead to a block in pyruvate production, potentially mimicking an
autoimmune block of PDC activity (315, 316). us, although
the pattern of metabolic changes in ME/CFS is compatible with
a PDH block (275) (blue X in Figure3), possibly of autoimmune
origin, the block could also be caused by ROS (317), frequently
increased in ME/CFS. ROS are produced in four places in the cell;
NADPH oxidase (in Figure3), peroxisomes and in respiratory
chain complexes I and III (318). ROS production can be evoked
by starvation (319) and respiratory complex I malfunction
(320). ROS inuence glutathione levels and indirectly the whole
one-carbon metabolism. It could be a key player in ME/CFS
pathogenesis. e origin and pathobiology of ROS in ME/CFS
should be investigated.
HOW WELL DO CLINICAL AND
LABORATORY DATA FIT INTO THE
EXPLANATORY MODEL?
As shown in Tab le7, much work remains before the autoimmune
nature of ME/CFS can be considered established.
WHICH FACTS DO NOT FIT INTO THE
EXPLANATORY MODEL?
Even if ME/CFS is of autoimmune origin, is it the metabolic
block (275) or the autoantibodies to hormone receptors (93)
which are most important for pathogenesis?
e mechanism behind the are aer exercise (238) is
obscure. Maybe a mitochondrial defect can lead to an increased
activity in the innate immune network.
e disturbance in one-carbon metabolism (277, 280) may
or may not be related to the disturbed transition between
glycolysis and TCA cycle. It is indicative of a wider metabolic
derangement than a block of PDH (275) would be expected to
lead to. ere are several papers on hormones (322), including
glucocorticoids (257) and transient receptor potential channel
hormones (222), and their receptors (106, 107, 109), in ME/
CFS. It is conceivable that parts of the autonomic dysfunction
can be explained in this way.
CONCLUSION
ME/CFS is a challenge for the patients, for medical research
and ethics, for all of public health, and for society. The intensi-
fied hunt for scientific evidence explaining ME/CFS has large
consequences for many thousands of people. Many of the
published results need repetition. But as shown in this article
the signs that autoimmunity and energy metabolic deficiency
is involved in the disease have increased. A hypothetical
but logical path, from gastrointestinal tract dysbiosis, to
12
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Frontiers in Immunology | www.frontiersin.org February 2018 | Volume 9 | Article 229
REFERENCES
1. Nacul LC, Lacerda EM, Pheby D, Campion P, Molokhia M, Fayyaz S, etal.
Prevalence of myalgic encephalomyelitis/chronic fatigue syndrome (ME/
CFS) in three regions of England: a repeated cross-sectional study in primary
care. BMC Med (2011) 9:91. doi:10.1186/1741-7015-9-91
2. Carruthers BM, van de Sande MI, De Meirleir KL, Klimas NG, Broderick G,
Mitchell T, etal. Myalgic encephalomyelitis: International Consensus Criteria.
J Intern Med (2011) 270:327–38. doi:10.1111/j.1365-2796.2011.02428.x
3. Carruthers BM. Denitions and aetiology of myalgic encephalomyelitis: how
the Canadian consensus clinical denition of myalgic encephalomyelitis
works. J Clin Pathol (2007) 60:117–9. doi:10.1136/jcp.2006.042754
4. Jason LA, McManimen S, Sunnquist M, Brown A, Furst J, Newton JL,
et al. Case denitions integrating empiric and consensus perspectives.
Fatigue (2016) 4:1–23. doi:10.1080/21641846.2015.1124520
5. Fukuda K, Straus SE, Hickie I, Sharpe MC, Dobbins JG, Komaroff A.
e chronic fatigue syndrome: a comprehensive approach to its de-
nition and study. International Chronic Fatigue Syndrome Study Group.
Ann Intern Med (1994) 121:953–9. doi:10.7326/0003-4819-121-12-
199412150-00009
6. Bansal AS. Investigating unexplained fatigue in general practice with a
particular focus on CFS/ME. BMC Fam Pract (2016) 17:81. doi:10.1186/
s12875-016-0493-0
7. Unger ER, Lin JS, Brimmer DJ, Lapp CW, Komaro AL, Nath A, et al.
Chronic fatigue syndrome – advancing research and clinical education.
MMWR Morb Mortal Wkly Rep (2016) 65:1434–8. doi:10.15585/mmwr.
mm655051a4
8. Davenport TE, Stevens SR, Baroni K, Van Ness M, Snell CR. Diagnostic
accuracy of symptoms characterising chronic fatigue syndrome. Disabil
Rehabil (2011) 33:1768–75. doi:10.3109/09638288.2010.546936
9. Davenport TE, Stevens SR, Baroni K, Van Ness JM, Snell CR. Reliability
and validity of Short Form 36 Version 2 to measure health perceptions in a
sub-group of individuals with fatigue. Disabil Rehabil (2011) 33:2596–604.
doi:10.3109/09638288.2011.582925
10. Haney E, Smith ME, McDonagh M, Pappas M, Daeges M, Wasson N,
et al. Diagnostic methods for myalgic encephalomyelitis/chronic fatigue
syndrome: a systematic review for a National Institutes of Health Pathways
to Prevention Workshop. Ann Intern Med (2015) 162:834–40. doi:10.7326/
M15-0443
11. Jason LA, Sunnquist M, Brown A, Newton JL, Strand EB, Vernon SD.
Chronic fatigue syndrome versus systemic exertion intolerance disease.
Fatigue (2015) 3:127–41. doi:10.1080/21641846.2015.1051291
12. Committee_on_Diagnostic_Criteria_for_Myalgic_Encephalomyelitis_
Chronic_Fatigue_Syndrome. Beyond Myalgic Encephalomyelitis/Chronic
Fatigue Syndrome: Redening an Illness. Washington (DC): Institute of
Medicine (2015).
13. Chu L, Friedberg F, Friedman KJ, Littrell N, Stevens S, Vallings R.
Exercise and chronic fatigue syndrome: maximize function, minimize
post-exertional malaise. Eur J Clin Invest (2012) 42:1362; author reply 1363–5.
doi:10.1111/j.1365-2362.2012.02723.x
14. Rollnik JD. [Chronic fatigue syndrome: a critical review]. Fortschr Neurol
Psychiatr (2017) 85:79–85. doi:10.1055/s-0042-121259
15. Bianchi R, Schonfeld IS, Laurent E. Is it time to consider the “Burnout
syndrome” a distinct illness? Front Public Health (2015) 3:158. doi:10.3389/
fpubh.2015.00158
16. White RF, Steele L, O’Callaghan JP, Sullivan K, Binns JH, Golomb BA,
etal. Recent research on Gulf War illness and other health problems in vet-
erans of the 1991 Gulf War : eects of toxicant exposures during deployment.
Cortex (2016) 74:449–75. doi:10.1016/j.cortex.2015.08.022
17. Baraniuk JN, Shivapurkar N. Exercise – induced changes in cerebrospinal
uid miRNAs in Gulf War Illness, chronic fatigue syndrome and sedentary
control subjects. Sci Rep (2017) 7:15338. doi:10.1038/s41598-017-15383-9
18. Edwards JC, McGrath S, Baldwin A, Livingstone M, Kewley A. e biological
challenge of myalgic encephalomyelitis/chronic fatigue syndrome: a solvable
problem. Fatigue (2016) 4:63–9. doi:10.1080/21641846.2016.1160598
19. Keller BA, Pryor JL, Giloteaux L. Inability of myalgic encephalomyelitis/
chronic fatigue syndrome patients to reproduce VO(2)peak indicates
functional impairment. J Transl Med (2014) 12:104. doi:10.1186/1479-5876-
12-104
20. Fluge O, Bruland O, Risa K, Storstein A, Kristoersen EK, Sapkota D, etal.
Benet from B-lymphocyte depletion using the anti-CD20 antibody rituxi-
mab in chronic fatigue syndrome. A double-blind and placebo-controlled
study. PLoS One (2011) 6:e26358. doi:10.1371/journal.pone.0026358
21. Fluge O, Mella O. Clinical impact of B-cell depletion with the anti-CD20
antibody rituximab in chronic fatigue syndrome: a preliminary case series.
BMC Neurol (2009) 9:28. doi:10.1186/1471-2377-9-28
22. Fluge O, Risa K, Lunde S, Alme K, Rekeland IG, Sapkota D, etal. B-lymphocyte
depletion in myalgic encephalopathy/chronic fatigue syndrome. An open-
formation of pathogenic autoimmune Bcells, to inhibition
of energy production and deficient cognition, to flares of
cytokine production, can be delineated. The natural history
indicates that in many cases infections can elicit or worsen
this autoimmunity.
e recently intensied research on ME/CFS yielded many
biomarker candidates, as mentioned in this study. e main
consequence of this work is that the proposition that there is
no logical somatic explanatory model for ME/CFS (14) can be
refuted. However, like for virtually all autoimmune diseases, the
explanatory model has several tentative steps which need further
exploration. e elucidation of the molecular nature of circulat-
ing metabolic inhibitors in ME/CFS (275) is a central question.
If they turn out to be immunoglobulins, they may directly yield
diagnostically useful biomarkers and an explanation of the
mechanism underlying ME/CFS.
e risk of giving a hypothetical unifying explanation, as in
this study, is that hypothesis can be perceived as fact, and that it
inuences the perception of the disease. But contacts with ME/
CFS patients and those who care for them have convinced us
that most can handle the uncertainty that hypotheses involve.
Without hypotheses we cannot direct the acquisition of further
knowledge of ME/CFS.
AUTHOR CONTRIBUTIONS
JB conceived of the paper and wrote most of it. C-GG added
substantial parts especially regarding the clinical aspects. AE
participated in the writing. She is writing a book on ME/CFS, her
comprehensive knowledge was valuable. MR participated in the
writing. He concentrated on checking references. AR contributed
substantially, especially regarding the immunological aspects.
ACKNOWLEDGMENTS
e authors thank Dr. Geraldine Cambridge for fruitful discus-
sions on mechanisms of ME/CFS pathogenesis and Dr. Lucinda
Bateman for discussions on clinical aspects of ME/CFS.
FUNDING
e authors thank the SolveME/CFS Initiative, the Swedish
ME Association, the Open Medicine Foundation (project
no. 1011454), and the Uppsala Academic Hospital (Grant
FOU2017-0039) for economic support, as well as the Invest in
ME Foundation, London, for travel grants. e funders did not
inuence the research or the manuscript in any way.
13
Blomberg et al. Infection Elicited Autoimmunity and ME/CFS
Frontiers in Immunology | www.frontiersin.org February 2018 | Volume 9 | Article 229
label phase II study with rituximab maintenance treatment. PLoS One
(2015) 10:e0129898. doi:10.1371/journal.pone.0129898
23. Tipton CM, Fucile CF, Darce J, Chida A, Ichikawa T, Gregoretti I,
etal. Diversity, cellular origin and autoreactivity of antibody-secreting cell
population expansions in acute systemic lupus erythematosus. Nat Immunol
(2015) 16:755–65. doi:10.1038/ni.3175
24. Pugh-Bernard AE, Silverman GJ, Cappione AJ, Villano ME, Ryan DH,
Insel RA, etal. Regulation of inherently autoreactive VH4-34 Bcells in the
maintenance of human Bcell tolerance. J Clin Invest (2001) 108:1061–70.
doi:10.1172/JCI200112462
25. Vaz NM, Carvalho CR. On the origin of immunopathology. J eor Biol
(2015) 375:61–70. doi:10.1016/j.jtbi.2014.06.006
26. Ferreira CM, Vieira AT, Vinolo MA, Oliveira FA, Curi R, Martins Fdos S.
e central role of the gut microbiota in chronic inammatory diseases.
J Immunol Res (2014) 2014:689492. doi:10.1155/2014/689492
27. Vaarala O. Gut microbiota and type 1 diabetes. Rev Diabet Stud (2012)
9:251–9. doi:10.1900/RDS.2012.9.251
28. Fasano A, Shea-Donohue T. Mechanisms of disease: the role of intestinal
barrier function in the pathogenesis of gastrointestinal autoimmune dis-
eases. Nat Clin Pract Gastroenterol Hepatol (2005) 2:416–22. doi:10.1038/
ncpgasthep0259
29. Noverr MC, Hunagle GB. Does the microbiota regulate immune
responses outside the gut? Trends Microbiol (2004) 12:562–8. doi:10.1016/j.
tim.2004.10.008
30. Aaron LA, Arguelles LM, Ashton S, Belcourt M, Herrell R, Goldberg J,
etal. Health and functional status of twins with chronic regional and wide-
spread pain. J Rheumatol (2002) 29:2426–34.
31. Aaron LA, Herrell R, Ashton S, Belcourt M, Schmaling K, Goldberg J, etal.
Comorbid clinical conditions in chronic fatigue: a co-twin control study.
J Gen Intern Med (2001) 16:24–31. doi:10.1111/j.1525-1497.2001.03419.x
32. Hausteiner-Wiehle C, Henningsen P. Irritable bowel syndrome: relations
with functional, mental, and somatoform disorders. World J Gastroenterol
(2014) 20:6024–30. doi:10.3748/wjg.v20.i20.6024
33. Navaneetharaja N, Griths V, Wileman T, Carding SR. A role for the
intestinal microbiota and virome in myalgic encephalomyelitis/chronic
fatigue syndrome (ME/CFS)? J Clin Med (2016) 5:1–22. doi:10.3390/
jcm5060055
34. Shukla SK, Cook D, Meyer J, Vernon SD, Le T, Clevidence D, et al.
Changes in gut and plasma microbiome following exercise challenge in
myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). PLoS One
(2015) 10:e0145453. doi:10.1371/journal.pone.0145453
35. Nagy-Szakal D, Williams BL, Mishra N, Che X, Lee B, Bateman L, et al.
Fecal metagenomic proles in subgroups of patients with myalgic enceph-
alomyelitis/chronic fatigue syndrome. Microbiome (2017) 5:44. doi:10.1186/
s40168-017-0261-y
36. Holmgren J, Czerkinsky C. Mucosal immunity and vaccines. Nat Med
(2005) 11:S45–53. doi:10.1038/nm1213
37. Quigley EM. Leaky gut – concept or clinical entity? Curr Opin Gastroenterol
(2016) 32:74–9. doi:10.1097/MOG.0000000000000243
38. Michielan A, D’Inca R. Intestinal permeability in inammatory bowel dis-
ease: pathogenesis, clinical evaluation, and therapy of leaky gut. Mediators
Inamm (2015) 2015:628157. doi:10.1155/2015/628157
39. Lin R, Zhou L, Zhang J, Wang B. Abnormal intestinal permeability and
microbiota in patients with autoimmune hepatitis. Int J Clin Exp Pathol
(2015) 8:5153–60.
40. Taneja V. Arthritis susceptibility and the gut microbiome. FEBS Lett (2014)
588:4244–9. doi:10.1016/j.febslet.2014.05.034
41. Fasano A. Leaky gut and autoimmune diseases. Clin Rev Allergy Immunol
(2012) 42:71–8. doi:10.1007/s12016-011-8291-x
42. de Kort S, Keszthelyi D, Masclee AA. Leaky gut and diabetes mellitus: what
is the link? Obes Rev (2011) 12:449–58. doi:10.1111/j.1467-789X.2010.
00845.x
43. Mensah F, Bansal A, Berkovitz S, Sharma A, Reddy V, Leandro MJ, etal.
Extended B cell phenotype in patients with myalgic encephalomyelitis/
chronic fatigue syndrome: a cross-sectional study. Clin Exp Immunol (2016)
184:237–47. doi:10.1111/cei.12749
44. Oldstone MB. Molecular mimicry: its evolution from concept to mecha-
nism as a cause of autoimmune diseases. Monoclon Antib Immunodiagn
Immunother (2014) 33:158–65. doi:10.1089/mab.2013.0090
45. Lee HJ, Li CW, Hammerstad SS, Stefan M, Tomer Y. Immunogenetics of
autoimmune thyroid diseases: a comprehensive review. J Autoimmun (2015)
64:82–90. doi:10.1016/j.jaut.2015.07.009
46. eander E, Jacobsson LT. Relationship of Sjogrens syndrome to other con-
nective tissue and autoimmune disorders. Rheum Dis Clin North Am (2008)
34:935–47,viii–ix. doi:10.1016/j.rdc.2008.08.009
47. Kurien BT, Scoeld RH. Autoantibody determination in the diagnosis
of systemic lupus erythematosus. Scand J Immunol (2006) 64:227–35.
doi:10.1111/j.1365-3083.2006.01819.x
48. Smith J, Fritz EL, Kerr JR, Cleare AJ, Wessely S, Mattey DL. Association of
chronic fatigue syndrome with human leucocyte antigen class II alleles. J Clin
Pathol (2005) 58:860–3. doi:10.1136/jcp.2004.022681
49. Carlo-Stella N, Badulli C, De Silvestri A, Bazzichi L, Martinetti M, Lorusso L,
et al. A rst study of cytokine genomic polymorphisms in CFS: positive
association of TNF-857 and IFNgamma 874 rare alleles. Clin Exp Rheumatol
(2006) 24:179–82.
50. Schlauch KA, Khaiboullina SF, De Meirleir KL, Rawat S, Petereit J,
Rizvanov AA, et al. Genome-wide association analysis identies genetic
variations in subjects with myalgic encephalomyelitis/chronic fatigue
syndrome. Transl Psychiatry (2016) 6:e730. doi:10.1038/tp.2015.208
51. Ahmad J, Blumen H, Tagoe CE. Association of antithyroid peroxidase
antibody with bromyalgia in rheumatoid arthritis. Rheumatol Int (2015)
35:1415–21. doi:10.1007/s00296-015-3278-1
52. Giacomelli C, Talarico R, Bombardieri S, Bazzichi L. e interaction
between autoimmune diseases and bromyalgia: risk, disease course and
management. Expert Rev Clin Immunol (2013) 9:1069–76. doi:10.1586/174
4666X.2013.849440
53. Suk JH, Lee JH, Kim JM. Association between thyroid autoimmunity and
bromyalgia. Exp Clin Endocrinol Diabetes (2012) 120:401–4. doi:10.1055/s-
0032-1309008
54. Klein R, Berg PA. High incidence of antibodies to 5-hydroxytryptamine,
gangliosides and phospholipids in patients with chronic fatigue and bro-
myalgia syndrome and their relatives: evidence for a clinical entity of both
disorders. Eur J Med Res (1995) 1:21–6.
55. Bazzichi L, Rossi A, Zirafa C, Monzani F, Tognini S, Dardano A, etal.
yroid autoimmunity may represent a predisposition for the development
of bromyalgia? Rheumatol Int (2012) 32:335–41. doi:10.1007/s00296-
010-1620-1
56. Borchers AT, Gershwin ME. Fibromyalgia: a critical and comprehensive
review. Clin Rev Allergy Immunol (2015) 49:100–51. doi:10.1007/s12016-
015-8509-4
57. Wallace DJ, Gavin IM, Karpenko O, Barkhordar F, Gillis BS. Cytokine and
chemokine proles in bromyalgia, rheumatoid arthritis and systemic lupus
erythematosus: a potentially useful tool in dierential diagnosis. Rheumatol
Int (2015) 35:991–6. doi:10.1007/s00296-014-3172-2
58. Pimentel M, Morales W, Rezaie A, Marsh E, Lembo A, Mirocha J, etal.
Development and validation of a biomarker for diarrhea-predominant
irritable bowel syndrome in human subjects. PLoS One (2015) 10:e0126438.
doi:10.1371/journal.pone.0126438
59. van Tilburg MA, Zaki EA, Venkatesan T, Boles RG. Irritable bowel syn-
drome may be associated with maternal inheritance and mitochondrial
DNA control region sequence variants. Dig Dis Sci (2014) 59:1392–7.
doi:10.1007/s10620-014-3045-2
60. Van Oudenhove L, Vandenberghe J, Vos R, Holvoet L, Tack J. Factors
associated with co-morbid irritable bowel syndrome and chronic fatigue-
like symptoms in functional dyspepsia. Neurogastroenterol Motil (2011)
23:524–e202. doi:10.1111/j.1365-2982.2010.01667.x
61. Sperber AD, Dekel R. Irritable bowel syndrome and co-morbid gastrointes-
tinal and extra-gastrointestinal functional syndromes. J Neurogastroenterol
Motil (2010) 16:113–9. doi:10.5056/jnm.2010.16.2.113
62. Lakhan SE, Kirchgessner A. Gut inammation in chronic fatigue syndrome.
Nutr Metab (Lond) (2010) 7:79. doi:10.1186/1743-7075-7-79
63. Hamilton WT, Gallagher AM, omas JM, White PD. Risk markers for
both chronic fatigue and irritable bowel syndromes: a prospective case-
control study in primary care. Psychol Med (2009) 39:1913–21. doi:10.1017/
S0033291709005601
64. Dahan S, Tomljenovic L, Shoenfeld Y. Postural orthostatic tachycardia syn-
drome (POTS) – a novel member of the autoimmune family. Lupus (2016)
25:339–42. doi:10.1177/0961203316629558
14
Blomberg et al. Infection Elicited Autoimmunity and ME/CFS
Frontiers in Immunology | www.frontiersin.org February 2018 | Volume 9 | Article 229
65. Tagoe CE. Rheumatic symptoms in autoimmune thyroiditis. Curr Rheumatol
Rep (2015) 17:5. doi:10.1007/s11926-014-0479-7
66. Ahmad J, Tagoe CE. Fibromyalgia and chronic widespread pain in auto-
immune thyroid disease. Clin Rheumatol (2014) 33:885–91. doi:10.1007/
s10067-014-2490-9
67. Carayanniotis G. e cryptic self in thyroid autoimmunity: the paradigm
of thyroglobulin. Autoimmunity (2003) 36:423–8. doi:10.1080/0891693031
0001602975
68. Katz BZ, Jason LA. Chronic fatigue syndrome following infections
in adolescents. Curr Opin Pediatr (2013) 25:95–102. doi:10.1097/MOP.
0b013e32835c1108
69. Hickie I, Davenport T, Wakeeld D, Vollmer-Conna U, Cameron B,
Vernon SD, etal. Post-infective and chronic fatigue syndromes precipitated
by viral and non-viral pathogens: prospective cohort study. BMJ (2006)
333:575. doi:10.1136/bmj.38933.585764.AE
70. Morroy G, Keijmel SP, Delsing CE, Bleijenberg G, Langendam M, Timen A,
etal. Fatigue following acute Q-fever: a systematic literature review. PLoS
One (2016) 11:e0155884. doi:10.1371/journal.pone.0155884
71. Parker NR, Barralet JH, Bell AM. Q fever. Lancet (2006) 367:679–88.
doi:10.1016/S0140-6736(06)68266-4
72. Wensaas KA, Langeland N, Hanevik K, Morch K, Eide GE, Rortveit G.
Irritable bowel syndrome and chronic fatigue 3 years aer acute giar-
diasis: historic cohort study. Gut (2012) 61:214–9. doi:10.1136/gutjnl-
2011-300220
73. Hunskar GS, Langeland N, Wensaas KA, Hanevik K, Eide GE, Morch K,
etal. e impact of atopic disease on the risk of post-infectious fatigue and
irritable bowel syndrome 3 years aer Giardia infection. A historic cohort
study. Scand J Gastroenterol (2012) 47:956–61. doi:10.3109/00365521.2012.
696681
74. Cvejic E, Lemon J, Hickie IB, Lloyd AR, Vollmer-Conna U. Neurocognitive
disturbances associated with acute infectious mononucleosis, Ross River
fever and Q fever: a preliminary investigation of inammatory and genetic
correlates. Brain Behav Immun (2014) 36:207–14. doi:10.1016/j.bbi.2013.
11.002
75. Soumahoro MK, Gerardin P, Boelle PY, Perrau J, Fianu A, Pouchot J, etal.
Impact of Chikungunya virus infection on health status and quality of life:
a retrospective cohort study. PLoS One (2009) 4:e7800. doi:10.1371/journal.
pone.0007800
76. Elsinga J, Gerstenbluth I, van der Ploeg S, Halabi Y, Lourents NT, Burgerhof JG,
etal. Long-term Chikungunya Sequelae in Curacao: burden, determinants,
and a novel classication tool. J Infect Dis (2017) 216:573–81. doi:10.1093/
infdis/jix312
77. Garcia MN, Hause AM, Walker CM, Orange JS, Hasbun R, Murray KO.
Evaluation of prolonged fatigue post-West Nile virus infection and associa-
tion of fatigue with elevated antiviral and proinammatory cytokines. Viral
Immunol (2014) 27:327–33. doi:10.1089/vim.2014.0035
78. Berg PJ, Smalleld S, Svien L. An investigation of depression and fatigue post
West Nile virus infection. S D Med (2010) 63:127–9.
79. Sejvar JJ, Curns AT, Welburg L, Jones JF, Lundgren LM, Capuron L, et al.
Neurocognitive and functional outcomes in persons recovering from West
Nile virus illness. J Neuropsychol (2008) 2:477–99. doi:10.1348/1748664
07X218312
80. Stanaway JD, Shepard DS, Undurraga EA, Halasa YA, Coeng LE, Brady OJ,
et al. e global burden of dengue: an analysis from the Global Burden
of Disease Study 2013. Lancet Infect Dis (2016) 16:712–23. doi:10.1016/
S1473-3099(16)00026-8
81. Seet RC, Quek AM, Lim EC. Post-infectious fatigue syndrome in dengue
infection. J Clin Virol (2007) 38:1–6. doi:10.1016/j.jcv.2006.10.011
82. Carod-Artal FJ. Post-Ebolavirus disease syndrome: what do we know?
Expert Rev Anti Infect er (2015) 13:1185–7. doi:10.1586/14787210.2015.
1079128
83. Epstein L, Wong KK, Kallen AJ, Uyeki TM. Post-Ebola signs and symptoms in
U.S. Survivors. N Engl J Med (2015) 373:2484–6. doi:10.1056/NEJMc1506576
84. Moldofsky H, Patcai J. Chronic widespread musculoskeletal pain, fatigue,
depression and disordered sleep in chronic post-SARS syndrome; a case-
controlled study. BMC Neurol (2011) 11:37. doi:10.1186/1471-2377-11-37
85. Pohl D, Alper G, Van Haren K, Kornberg AJ, Lucchinetti CF,
Tenembaum S, etal. Acute disseminated encephalomyelitis: updates on an
inammatory CNS syndrome. Neurology (2016) 87:S38–45. doi:10.1212/
WNL.0000000000002825
86. Lim M, Hacohen Y, Vincent A. Autoimmune encephalopathies. Pediatr Clin
North Am (2015) 62:667–85. doi:10.1016/j.pcl.2015.03.011
87. Nyati KK, Nyati R. Role of Campylobacter jejuni infection in the pathogenesis
of Guillain-Barre syndrome: an update. Biomed Res Int (2013) 2013:852195.
doi:10.1155/2013/852195
88. Ozkurt Z, Tanriverdi EC. Global alert: Zika virus-an emerging arbovirus.
Eurasian J Med (2017) 49:142–7. doi:10.5152/eurasianjmed.2017.17147
89. Johnson TP, Tyagi R, Lee PR, Lee MH, Johnson KR, Kowalak J, et al.
Nodding syndrome may be an autoimmune reaction to the parasitic worm
Onchocerca volvulus. Sci Transl Med (2017) 9:1–10. doi:10.1126/scitranslmed.
aaf6953
90. Cunningham MW. Post-streptococcal autoimmune sequelae: rheumatic
fever and beyond. In: Ferretti JJ, Stevens DL, Fischetti VA, editors. Strep-
tococcus pyogenes: Basic Biology to Clinical Manifestations. Oklahoma City,
OK: University of Oklahoma Health Sciences Center (2016).
91. Libbey JE, Cusick MF, Fujinami RS. Role of pathogens in multiple sclerosis.
Int Re v Immunol (2014) 33:266–83. doi:10.3109/08830185.2013.823422
92. Greenlee JE. Encephalitis and postinfectious encephalitis. Continuum
(Minneap Minn) (2012) 18:1271–89. doi:10.1212/01.CON.0000423847.
40147.06
93. Loebel M, Grabowski P, Heidecke H, Bauer S, Hanitsch LG, Wittke K, etal.
Antibodies to beta adrenergic and muscarinic cholinergic receptors in
patients with chronic fatigue syndrome. Brain Behav Immun (2016) 52:32–9.
doi:10.1016/j.bbi.2015.09.013
94. Elfaitouri A, Herrmann B, Bolin-Wiener A, Wang Y, Gottfries CG,
Zachrisson O, etal. Epitopes of microbial and human heat shock protein
60 and their recognition in myalgic encephalomyelitis. PLoS One (2013)
8:e81155. doi:10.1371/journal.pone.0081155
95. McManimen SL, Jason LA. Post-exertional malaise in patients with ME and
CFS with comorbid bromyalgia. SRL Neurol Neurosurg (2017) 3:22–7.
96. Goebel A. Autoantibody pain. Autoimmun Rev (2016) 15:552–7. doi:10.1016/j.
autrev.2016.02.011
97. Klein CJ, Lennon VA, Aston PA, McKeon A, Pittock SJ. Chronic pain as a
manifestation of potassium channel-complex autoimmunity. Neurology
(2012) 79:1136–44. doi:10.1212/WNL.0b013e3182698cab
98. Wikland B, Lowhagen T, Sandberg PO. Fine-needle aspiration cytology
of the thyroid in chronic fatigue. Lancet (2001) 357:956–7. doi:10.1016/
S0140-6736(05)71654-8
99. Akamizu T, Kohn LD, Mori T. Molecular studies on thyrotropin (TSH)
receptor and anti-TSH receptor antibodies. Endocr J (1995) 42:617–27.
doi:10.1507/endocrj.42.617
100. Hoad A, Spickett G, Elliott J, Newton J. Postural orthostatic tachycardia
syndrome is an under-recognized condition in chronic fatigue syndrome.
QJM (2008) 101:961–5. doi:10.1093/qjmed/hcn123
101. Kimpinski K, Iodice V, Vernino S, Sandroni P, Low PA. Association of
N-type calcium channel autoimmunity in patients with autoimmune
autonomic ganglionopathy. Auton Neurosci (2009) 150:136–9. doi:10.1016/j.
autneu.2009.06.002
102. Lobel M, Mooslechner AA, Bauer S, Gunther S, Letsch A, Hanitsch LG,
et al. Polymorphism in COMT is associated with IgG3 subclass level and
susceptibility to infection in patients with chronic fatigue syndrome. J Transl
Med (2015) 13:264. doi:10.1186/s12967-015-0628-4
103. Guenther S, Loebel M, Mooslechner AA, Knops M, Hanitsch LG, Grabowski P,
et al. Frequent IgG subclass and mannose binding lectin deciency in
patients with chronic fatigue syndrome. Hum Immunol (2015) 76:729–35.
doi:10.1016/j.humimm.2015.09.028
104. Natelson BH, Haghighi MH, Ponzio NM. Evidence for the presence of
immune dysfunction in chronic fatigue syndrome. Clin Diagn Lab Immunol
(2002) 9:747–52. doi:10.1128/CDLI.9.4.747–752.2002
105. Robertson MJ, Schacterle RS, Mackin GA, Wilson SN, Bloomingdale KL,
Ritz J, etal. Lymphocyte subset dierences in patients with chronic fatigue
syndrome, multiple sclerosis and major depression. Clin Exp Immunol (2005)
141:326–32. doi:10.1111/j.1365-2249.2005.02833.x
106. Marshall-Gradisnik S, Johnston S, Chacko A, Nguyen T, Smith P,
Staines D. Single nucleotide polymorphisms and genotypes of transient
receptor potential ion channel and acetylcholine receptor genes from isolated
15
Blomberg et al. Infection Elicited Autoimmunity and ME/CFS
Frontiers in Immunology | www.frontiersin.org February 2018 | Volume 9 | Article 229
B lymphocytes in myalgic encephalomyelitis/chronic fatigue syndrome
patients. J Int Med Res (2016) 44:1381–94. doi:10.1177/0300060516671622
107. Marshall-Gradisnik S, Huth T, Chacko A, Johnston S, Smith P, Staines D.
Natural killer cells and single nucleotide polymorphisms of specic ion
channels and receptor genes in myalgic encephalomyelitis/chronic fatigue
syndrome. Appl Clin Genet (2016) 9:39–47. doi:10.2147/TACG.S99405
108. Johnston S, Staines D, Klein A, Marshall-Gradisnik S. A targeted genome
association study examining transient receptor potential ion channels, ace-
tylcholine receptors, and adrenergic receptors in chronic fatigue syndrome/
myalgic encephalomyelitis. BMC Med Genet (2016) 17:79. doi:10.1186/
s12881-016-0342-y
109. Vangeel E, Van Den Eede F, Hompes T, Izzi B, Del Favero J, Moorkens G,
et al. Chronic fatigue syndrome and DNA hypomethylation of the gluco-
corticoid receptor gene promoter 1F region: associations with HPA axis
hypofunction and childhood trauma. Psychosom Med (2015) 77:853–62.
doi:10.1097/PSY.0000000000000224
110. Bouquet J, Gardy JL, Brown S, Pfeil J, Miller RR, Morshed M, et al.
RNA-seq analysis of gene expression, viral pathogen, and B-cell/T-cell recep-
tor signatures in complex chronic disease. Clin Infect Dis (2017) 64:476–81.
doi:10.1093/cid/ciw767
111. Kaushik N, Fear D, Richards SC, McDermott CR, Nuwaysir EF, Kellam P,
etal. Gene expression in peripheral blood mononuclear cells from patients
with chronic fatigue syndrome. J Clin Pathol (2005) 58:826–32. doi:10.1136/
jcp.2005.025718
112. Fang H, Xie Q, Boneva R, Fostel J, Perkins R, Tong W. Gene expression
prole exploration of a large dataset on chronic fatigue syndrome. Phar-
macogenomics (2006) 7:429–40. doi:10.2217/14622416.7.3.429
113. Maes M, Mihaylova I, Leunis JC. Chronic fatigue syndrome is accompanied
by an IgM-related immune response directed against neopitopes formed
by oxidative or nitrosative damage to lipids and proteins. Neuro Endocrinol
Lett (2006) 27:615–21. doi:10.1097/YCO.0b013e32831a4728
114. De Meirleir K, Bisbal C, Campine I, De Becker P, Salehzada T,
Demettre E, etal. A 37 kDa 2-5A binding protein as a potential biochemi-
cal marker for chronic fatigue syndrome. Am J Med (2000) 108:99–105.
doi:10.1016/S0002-9343(99)00300-9
115. Brenu EW, Ashton KJ, Batovska J, Staines DR, Marshall-Gradisnik SM.
High-throughput sequencing of plasma microRNA in chronic fatigue
syndrome/myalgic encephalomyelitis. PLoS One (2014) 9:e102783.
doi:10.1371/journal.pone.0102783
116. Cerda-Olmedo G, Mena-Duran AV, Monsalve V, Oltra E. Identication of
a microRNA signature for the diagnosis of bromyalgia. PLoS One (2015)
10:e0121903. doi:10.1371/journal.pone.0121903
117. Bested AC, Marshall LM. Review of myalgic encephalomyelitis/chronic
fatigue syndrome: an evidence-based approach to diagnosis and manage-
ment by clinicians. Rev Environ Health (2015) 30:223–49. doi:10.1515/
reveh-2015-0026
118. Underhill RA. Myalgic encephalomyelitis, chronic fatigue syndrome:
an infectious disease. Med Hypotheses (2015) 85:765–73. doi:10.1016/j.
mehy.2015.10.011
119. Loebel M, Strohschein K, Giannini C, Koelsch U, Bauer S, Doebis C, etal.
Decient EBV-specic B- and T-cell response in patients with chronic fatigue
syndrome. PLoS One (2014) 9:e85387. doi:10.1371/journal.pone.0085387
120. Moss-Morris R, Spence MJ, Hou R. e pathway from glandular fever to
chronic fatigue syndrome: can the cognitive behavioural model provide the
map? Psychol Med (2011) 41:1099–107. doi:10.1017/S003329171000139X
121. Komaro AL, Cho TA. Role of infection and neurologic dysfunction in
chronic fatigue syndrome. Semin Neurol (2011) 31:325–37. doi:10.1055/s-
0031-1287654
122. Katz BZ, Stewart JM, Shiraishi Y, Mears CJ, Taylor R. Autonomic symptoms
at baseline and following infectious mononucleosis in a prospective cohort
of adolescents. Arch Pediatr Adolesc Med (2011) 165:765–6. doi:10.1001/
archpediatrics.2011.124
123. Naess H, Sundal E, Myhr KM, Nyland HI. Postinfectious and chronic fatigue
syndromes: clinical experience from a tertiary-referral centre in Norway.
InVivo (2010) 24:185–8.
124. Katz BZ, Boas S, Shiraishi Y, Mears CJ, Taylor R. Exercise tolerance testing
in a prospective cohort of adolescents with chronic fatigue syndrome and
recovered controls following infectious mononucleosis. J Pediatr (2010)
157:468–72,472.e1. doi:10.1016/j.jpeds.2010.03.025
125. Huang Y, Katz BZ, Mears C, Kielhofner GW, Taylor R. Postinfectious
fatigue in adolescents and physical activity. Arch Pediatr Adolesc Med (2010)
164:803–9. doi:10.1001/archpediatrics.2010.144
126. Rees CJ, Henderson AH, Belafsky PC. Postviral vagal neuropathy. Ann Otol
Rhinol Laryngol (2009) 118:247–52. doi:10.1177/000348940911800402
127. Katz BZ, Shiraishi Y, Mears CJ, Binns HJ, Taylor R. Chronic fatigue syndrome
aer infectious mononucleosis in adolescents. Pediatrics (2009) 124:189–93.
doi:10.1542/peds.2008-1879
128. Leis AA, Stokic DS. Neuromuscular manifestations of west nile virus infec-
tion. Front Neurol (2012) 3:37. doi:10.3389/fneur.2012.00037
129. Sullivan PF, Allander T, Lysholm F, Goh S, Persson B, Jacks A, et al.
An unbiased metagenomic search for infectious agents using mono-
zygotic twins discordant for chronic fatigue. BMC Microbiol (2011) 11:2.
doi:10.1186/1471-2180-11-2
130. Zhang L, Gough J, Christmas D, Mattey DL, Richards SC, Main J, et al.
Microbial infections in eight genomic subtypes of chronic fatigue syndrome/
myalgic encephalomyelitis. J Clin Pathol (2010) 63:156–64. doi:10.1136/
jcp.2009.072561
131. Lane RJ, Soteriou BA, Zhang H, Archard LC. Enterovirus related metabolic
myopathy: a postviral fatigue syndrome. J Neurol Neurosurg Psychiatry
(2003) 74:1382–6. doi:10.1136/jnnp.74.10.1382
132. Bowman SJ, Brosto J, Newman S, Mowbray JF. Postviral syndrome – how
can a diagnosis be made? A study of patients undergoing a Monospot test.
J R Soc Med (1989) 82:712–6.
133. Chapenko S, Krumina A, Logina I, Rasa S, Chistjakovs M, Sultanova A,
et al. Association of active human herpesvirus-6, -7 and parvovirus b19
infection with clinical outcomes in patients with myalgic encephalomyelitis/
chronic fatigue syndrome. Adv Virol (2012) 2012:205085. doi:10.1155/
2012/205085
134. Loebel M, Eckey M, Sotzny F, Hahn E, Bauer S, Grabowski P, et al.
Serological proling of the EBV immune response in chronic fatigue
syndrome using a peptide microarray. PLoS One (2017) 12:e0179124.
doi:10.1371/journal.pone.0179124
135. Halpin P, Williams MV, Klimas NG, Fletcher MA, Barnes Z, Ariza ME.
Myalgic encephalomyelitis/chronic fatigue syndrome and gulf war illness
patients exhibit increased humoral responses to the herpesviruses-encoded
dUTPase: implications in disease pathophysiology. J Med Virol (2017)
89:1636–45. doi:10.1002/jmv.24810
136. Kerr JR, Gough J, Richards SC, Main J, Enlander D, McCreary M, et al.
Antibody to parvovirus B19 nonstructural protein is associated with chronic
arthralgia in patients with chronic fatigue syndrome/myalgic encephalomy-
elitis. J Gen Virol (2010) 91:893–7. doi:10.1099/vir.0.017590-0
137. Kato YH, Yamate M, Tsujikawa M, Nishigaki H, Tanaka Y, Yunoki M, etal.
No apparent dierence in the prevalence of parvovirus B19 infection between
chronic fatigue syndrome patients and healthy controls in Japan. J Clin Virol
(2009) 44:246–7. doi:10.1016/j.jcv.2009.01.001
138. Seishima M, Mizutani Y, Shibuya Y, Arakawa C. Chronic fatigue syn-
drome aer human parvovirus B19 infection without persistent viremia.
Dermatology (2008) 216:341–6. doi:10.1159/000116723
139. McGhee SA, Kaska B, Liebhaber M, Stiehm ER. Persistent parvovirus-
associated chronic fatigue treated with high dose intravenous immu-
noglobulin. Pediatr Infect Dis J (2005) 24:272–4. doi:10.1097/01.inf.
0000155194.66797.20
140. Knosel T, Meisel H, Borgmann A, Riebel T, Krenn V, Schewe C, et al.
Parvovirus B19 infection associated with unilateral cervical lymphadenopa-
thy, apoptotic sinus histiocytosis, and prolonged fatigue. J Clin Pathol (2005)
58:872–5. doi:10.1136/jcp.2004.022756
141. Matano S, Kinoshita H, Tanigawa K, Terahata S, Sugimoto T. Acute parvovi-
rus B19 infection mimicking chronic fatigue syndrome. Intern Med (2003)
42:903–5. doi:10.2169/internalmedicine.42.903
142. Kerr JR, Bracewell J, Laing I, Mattey DL, Bernstein RM, Bruce IN, et al.
Chronic fatigue syndrome and arthralgia following parvovirus B19 infection.
J Rheumatol (2002) 29:595–602.
143. Kerr JR, Cunnie VS. Antibodies to parvovirus B19 non-structural protein
are associated with chronic but not acute arthritis following B19 infection.
Rheumatology (Oxford) (2000) 39:903–8. doi:10.1093/rheumatology/39.8.903
144. Jacobson SK, Daly JS, orne GM, McIntosh K. Chronic parvovirus B19
infection resulting in chronic fatigue syndrome: case history and review. Clin
Infect Dis (1997) 24:1048–51. doi:10.1086/513627
16
Blomberg et al. Infection Elicited Autoimmunity and ME/CFS
Frontiers in Immunology | www.frontiersin.org February 2018 | Volume 9 | Article 229
145. Ilaria RL Jr, Komaro AL, Fagioli LR, Moloney WC, True CA, Naides SJ.
Absence of parvovirus B19 infection in chronic fatigue syndrome. Arthritis
Rheum (1995) 38:638–41. doi:10.1002/art.1780380510
146. Leventhal LJ, Naides SJ, Freundlich B. Fibromyalgia and parvovirus infec-
tion. Arthritis Rheum (1991) 34:1319–24. doi:10.1002/art.1780341018
147. Baboonian C, Halliday D, Venables PJ, Pawlowski T, Millman G, Maini RN.
Antibodies in rheumatoid arthritis react specically with the glycine alanine
repeat sequence of Epstein-Barr nuclear antigen-1. Rheumatol Int (1989)
9:161–6.
148. Patarca R, Fletcher MA. Structure and pathophysiology of the erythrocyte
membrane-associated Paul-Bunnell heterophile antibody determinant in
Epstein-Barr virus-associated disease. Crit Rev Oncog (1995) 6:305–26.
doi:10.1615/CritRevOncog.v6.i3-6.70
149. Fletcher MA, Klimas NG, Latif ZA, Caldwell KE. Serodiagnosis of infectious
mononucleosis with a bovine erythrocyte glycoprotein. J Clin Microbiol
(1983) 18:495–9.
150. Fletcher MA, Lo TM, Graves WR. Immunochemical studies of infectious
mononucleosis. VII. Isolation and partial characterization of a glycopep-
tide from bovine erythrocytes. Vox Sang (1977) 33:150–63. doi:10.1159/
000467504
151. Tedder TF, Leonard WJ. Autoimmunity: regulatory Bcells – IL-35 and IL-21
regulate the regulators. Nat Rev Rheumatol (2014) 10:452–3. doi:10.1038/
nrrheum.2014.95
152. Lunemann JD, Munz C. Epstein-Barr virus and multiple sclerosis. Curr
Neurol Neurosci Rep (2007) 7:253–8. doi:10.1007/s11910-007-0038-y
153. Marquez AC, Horwitz MS. The role of latently infected Bcells in CNS
autoimmunity. Front Immunol (2015) 6:544. doi:10.3389/fimmu.2015.
00544
154. Posnett DN. Herpesviruses and autoimmunity. Curr Opin Investig Drugs
(2008) 9:505–14.
155. Cuomo L, Cirone M, Di Gregorio AO, Vitillo M, Cattivelli M, Magliocca V,
et al. Elevated antinuclear antibodies and altered anti-Epstein-Barr virus
immune responses. Virus Res (2015) 195:95–9. doi:10.1016/j.virusres.2014.
09.014
156. Nelson P, Rylance P, Roden D, Trela M, Tugnet N. Vir uses as potential patho-
genic agents in systemic lupus erythematosus. Lupus (2014) 23:596–605.
doi:10.1177/0961203314531637
157. Niller HH, Wolf H, Ay E, Minarovits J. Epigenetic dysregulation of epstein-
barr virus latency and development of autoimmune disease. Adv Exp Med
Biol (2011) 711:82–102. doi:10.1007/978-1-4419-8216-2_7
158. Fust G. e role of the Epstein-Barr virus in the pathogenesis of some auto-
immune disorders – similarities and dierences. Eur J Microbiol Immunol
(Bp) (2011) 1:267–78. doi:10.1556/EuJMI.1.2011.4.2
159. Lindsey JW, deGannes SL, Pate KA, Zhao X. Antibodies specic for
Epstein-Barr virus nuclear antigen-1 cross-react with human heterogeneous
nuclear ribonucleoprotein L. Mol Immunol (2016) 69:7–12. doi:10.1016/j.
molimm.2015.11.007
160. Elliott SE, Parchim NF, Kellems RE, Xia Y, Soci AR, Daugherty PS.
A pre-eclampsia-associated Epstein-Barr virus antibody cross-reacts with
placen tal GPR50. Clin Immunol (2016) 168:64–71. doi:10.1016/j.clim.
2016.05.002
161. Wallis AL. An unusual epidemic. Lancet (1955) 269:290. doi:10.1016/
S0140-6736(55)92711-2
162. Endresen GK. [Systemic Mycoplasma blood infection in bromyalgia and
chronic fatigue syndrome]. Tidsskr Nor Laegeforen (2004) 124:203–5.
163. Vernon SD, Shukla SK, Reeves WC. Absence of Mycoplasma species DNA in
chronic fatigue syndrome. J Med Microbiol (2003) 52:1027–8. doi:10.1099/
jmm.0.05316-0
164. Nicolson GL, Gan R, Haier J. Multiple co-infections (Mycoplasma,
Chlamydia, human herpes virus-6) in blood of chronic fatigue syndrome
patients: association with signs and symptoms. APMIS (2003) 111:557–66.
doi:10.1034/j.1600-0463.2003.1110504.x
165. Endresen GK. Mycoplasma blood infection in chronic fatigue and bro-
myalgia syndromes. Rheumatol Int (2003) 23:211–5. doi:10.1007/s00296-
003-0355-7
166. Vojdani A, Choppa PC, Tagle C, Andrin R, Samimi B, Lapp CW. Detection
of Mycoplasma genus and Mycoplasma fermentans by PCR in patients
with chronic fatigue syndrome. FEMS Immunol Med Microbiol (1998)
22:355–65. doi:10.1111/j.1574-695X.1998.tb01226.x
167. Choppa PC, Vojdani A, Tagle C, Andrin R, Magtoto L. Multiplex PCR for
the detection of Mycoplasma fermentans, M. hominis and M. penetrans in
cell cultures and blood samples of patients with chronic fatigue syndrome.
Mol Cell Probes (1998) 12:301–8. doi:10.1006/mcpr.1998.0186
168. Komaro AL, Bell DS, Cheney PR, Lo SC. Absence of antibody to Mycoplasma
fermentans in patients with chronic fatigue syndrome. Clin Infect Dis (1993)
17:1074–5. doi:10.1093/clinids/17.6.1074
169. Chia JK, Chia LY. Chronic Chlamydia pneumoniae infection: a treatable
cause of chronic fatigue syndrome. Clin Infect Dis (1999) 29:452–3.
doi:10.1086/520239
170. Komaro AL, Wang SP, Lee J, Grayston JT. No association of chronic
Chlamydia pneumoniae infection with chronic fatigue syndrome. J Infect Dis
(1992) 165:184. doi:10.1093/infdis/165.1.184
171. Kerr JR. e role of parvovirus B19 in the pathogenesis of autoimmunity
and autoimmune disease. J Clin Pathol (2016) 69:279–91. doi:10.1136/
jclinpath-2015-203455
172. Binder CJ, Horkko S, Dewan A, Chang MK, Kieu EP, Goodyear CS,
etal. Pneumococcal vaccination decreases atherosclerotic lesion formation:
molecular mimicry between Streptococcus pneumoniae and oxidized LDL.
Nat Med (2003) 9:736–43. doi:10.1038/nm876
173. Moens U, Van Ghelue M, Song X, Ehlers B. Serological cross-reactivity
between human polyomaviruses. Rev Med Virol (2013) 23:250–64.
doi:10.1002/rmv.1747
174. Van Ghelue M, Khan MT, Ehlers B, Moens U. Genome analysis of the new
human polyomaviruses. Rev Med Virol (2012) 22:354–77. doi:10.1002/
rmv.1711
175. Berry M, Gamieldien J, Fielding BC. Identication of new respiratory viruses
in the new millennium. Viruses (2015) 7:996–1019. doi:10.3390/v7030996
176. Fallahi P, Ferrari SM, Vita R, Benvenga S, Antonelli A. e role of human
parvovirus B19 and hepatitis C virus in the development of thyroid disorders.
Rev Endocr Metab Disord (2016) 17:529–35. doi:10.1007/s11154-016-9361-4
177. Young JC, Chehoud C, Bittinger K, Bailey A, Diamond JM, Cantu E, etal.
Viral metagenomics reveal blooms of anelloviruses in the respiratory tract
of lung transplant recipients. Am J Transplant (2015) 15:200–9. doi:10.1111/
ajt.13031
178. Gorzer I, Jaksch P, Kundi M, Seitz T, Klepetko W, Puchhammer-Stockl E.
Pre-transplant plasma Torque Teno virus load and increase dynamics aer
lung transplantation. PLoS One (2015) 10:e0122975. doi:10.1371/journal.
pone.0122975
179. Walton AH, Muenzer JT, R asche D, B oomer JS, Sato B, Brownstein BH, etal.
Reactivation of multiple viruses in patients with sepsis. PLoS One (2014)
9:e98819. doi:10.1371/journal.pone.0098819
180. Chen RC, Naiyanetr P, Shu SA, Wang J, Yang GX, Kenny TP, et al.
Antimitochondrial antibody heterogeneity and the xenobiotic etiology of
primary biliary cirrhosis. Hepatology (2013) 57:1498–508. doi:10.1002/
hep.26157
181. Kaplan MM. Novosphingobium aromaticivorans: a potential initia tor of pri-
mary biliary cirrhosis. Am J Gastroenterol (2004) 99:2147–9. doi:10.1111/j.
1572-0241.2004.41121.x
182. Smyk DS, Rigopoulou EI, Bogdanos DP. Potential roles for infectious agents
in the pathophysiology of primary biliary cirrhosis: what’s new? Curr Infect
Dis Rep (2013) 15:14–24. doi:10.1007/s11908-012-0304-2
183. Konig MF, Abusleme L, Reinholdt J, Palmer RJ, Teles RP, Sampson K, etal.
Aggregatibacter actinomycetemcomitans-induced hypercitrullination links
periodontal infection to autoimmunity in rheumatoid arthritis. Sci Transl
Med (2016) 8:369ra176. doi:10.1126/scitranslmed.aaj1921
184. Bardsen K, Nilsen MM, Kvaloy JT, Norheim KB, Jonsson G, Omdal R. Heat
shock proteins and chronic fatigue in primary Sjogren’s syndrome. Innat e
Immun (2016) 22:162–7. doi:10.1177/1753425916633236
185. Zilaee M, Ferns GA, Ghayour-Mobarhan M. Heat shock proteins and
cardiovascular disease. Adv Clin Chem (2014) 64:73–115. doi:10.1016/
B978-0-12-800263-6.00002-1
186. Rai R, Chauhan SK, Singh VV, Rai M, Rai G. Heat shock protein 27 and
its regulatory molecules express dierentially in SLE patients with distinct
autoantibody proles. Immunol Lett (2015) 164:25–32. doi:10.1016/j.imlet.
2015.01.007
187. Shukla HD, Pitha PM. Role of hsp90 in systemic lupus erythematosus and
its clinical relevance. Autoimmune Dis (2012) 2012:728605. doi:10.1155/
2012/728605
17
Blomberg et al. Infection Elicited Autoimmunity and ME/CFS
Frontiers in Immunology | www.frontiersin.org February 2018 | Volume 9 | Article 229
188. Komiya I, Arimura Y, Nakabayashi K, Yamada A, Osaki T, Yamaguchi H,
et al. Increased concentrations of antibody against heat shock protein in
patients with myeloperoxidase anti-neutrophil cytoplasmic autoantibody
positive microscopic polyangiitis. Microbiol Immunol (2011) 55:531–8.
doi:10.1111/j.1348-0421.2011.00351.x
189. Rothstein TL, Quach TD. e human counterpart of mouse B-1 cells. Ann N
Y Acad Sci (2015) 1362:143–52. doi:10.1111/nyas.12790
190. Baumgarth N. B-1 cell heterogeneity and the regulation of natural and
antigen-induced IgM production. Front Immunol (2016) 7:324. doi:10.3389/
mmu.2016.00324
191. Giloteaux L, Hanson MR, Keller BA. A pair of identical twins discordant
for myalgic encephalomyelitis/chronic fatigue syndrome dier in physio-
logical parameters and gut microbiome composition. Am J Case Rep (2016)
17:720–9. doi:10.12659/AJCR.900314
192. Giloteaux L, Goodrich JK, Walters WA, Levine SM, Ley RE, Hanson MR.
Reduced diversity and altered composition of the gut microbiome in
individuals with myalgic encephalomyelitis/chronic fatigue syndrome.
Microbiome (2016) 4:30. doi:10.1186/s40168-016-0171-4
193. Buchwald D, Ashley RL, Pearlman T, Kith P, Komaro AL. Viral serolo-
gies in patients with chronic fatigue and chronic fatigue syndrome. J Med
Virol (1996) 50:25–30. doi:10.1002/(SICI)1096-9071(199609)50:1<25::AID-
JMV6>3.0.CO;2-V
194. Morris G, Berk M, Walder K, Maes M. Central pathways causing fatigue in
neuro-inammatory and autoimmune illnesses. BMC Med (2015) 13:28.
doi:10.1186/s12916-014-0259-2
195. Nakatomi Y, Mizuno K, Ishii A, Wada Y, Tanaka M, Tazawa S, et al.
Neuroinammation in patients with chronic fatigue syndrome/myalgic
encephalomyelitis: an (1)(1)C-(R)-PK11195 PET study. J Nucl Med (2014)
55:945–50. doi:10.2967/jnumed.113.131045
196. Chistiakov DA, Bobryshev YV, Kozarov E, Sobenin IA, Orekhov AN.
Intestinal mucosal tolerance and impact of gut microbiota to mucosal toler-
ance. Front Microbiol (2014) 5:781. doi:10.3389/fmicb.2014.00781
197. de Goau MC, Luopajarvi K, Knip M, Ilonen J, Ruohtula T, Harkonen T,
etal. Fecal microbiota composition diers between children with beta-cell
autoimmunity and those without. Diabetes (2013) 62:1238–44. doi:10.2337/
db12-0526
198. Mejia-Leon ME, Petrosino JF, Ajami NJ, Dominguez-Bello MG, de la Barca AM.
Fecal microbiota imbalance in Mexican children with type 1 diabetes. Sci
Rep (2014) 4:3814. doi:10.1038/srep03814
199. Chen J, Chia N, Kalari KR, Yao JZ, Novotna M, Soldan MM, etal. Multiple
sclerosis patients have a distinct gut microbiota compared to healthy controls.
Sci Rep (2016) 6:28484. doi:10.1038/srep28484
200. Scher JU, Sczesnak A, Longman RS, Segata N, Ubeda C, Bielski C, etal.
Expansion of intestinal Prevotella copri correlates with enhanced suscepti-
bility to arthritis. Elife (2013) 2:e01202. doi:10.7554/eLife.01202
201. He Z, Shao T, Li H, Xie Z, Wen C. Alterations of the gut microbiome in
Chinese patients with systemic lupus erythematosus. Gut Pathog (2016) 8:64.
doi:10.1186/s13099-016-0146-9
202. Consolandi C, Turroni S, Emmi G, Severgnini M, Fiori J, Peano C,
et al. Behcet’s syndrome patients exhibit specic microbiome signature.
Autoimmun Rev (2015) 14:269–76. doi:10.1016/j.autrev.2014.11.009
203. D’Elios MM, Appelmelk BJ, Amedei A, Bergman MP, Del Prete G. Gastric
autoimmunity: the role of Helicobacter pylori and molecular mimicry. Trends
Mol Med (2004) 10:316–23. doi:10.1016/j.molmed.2004.06.001
204. Wen C, Zheng Z, Shao T, Liu L, Xie Z, Le Chatelier E, etal. Quantitative
metagenomics reveals unique gut microbiome biomarkers in ankylosing
spondylitis. Genome Biol (2017) 18:142. doi:10.1186/s13059-017-1271-6
205. Billing-Ross P, Germain A, Ye K, Keinan A, Gu Z, Hanson MR. Mito-
chondrial DNA variants correlate with symptoms in myalgic encephalo-
myelitis/chronic fatigue syndrome. J Transl Med (2016) 14:19. doi:10.1186/
s12967-016-0771-6
206. Wallis A, Butt H, Ball M, Lewis DP, Bruck D. Support for the microgen-
derome: associations in a human clinical population. Sci Rep (2016) 6:19171.
doi:10.1038/srep19171
207. Ford AC, Talley NJ. Mucosal inammation as a potential etiological factor
in irritable bowel syndrome: a systematic review. J Gastroenterol (2011)
46:421–31. doi:10.1007/s00535-011-0379-9
208. Fukuda S, Nojima J, Kajimoto O, Yamaguti K, Nakatomi Y, Kuratsune H, etal.
Ubiquinol-10 supplementation improves autonomic nervous function and
cognitive function in chronic fatigue syndrome. Biofactors (2016) 42:431–40.
doi:10.1002/biof.1293
209. Kell DB, Pretorius E. On the translocation of bacteria and their lipopolysac-
charides between blood and peripheral locations in chronic, inammatory
diseases: the central roles of LPS and LPS-induced cell death. Integr Biol
(Camb) (2015) 7:1339–77. doi:10.1039/c5ib00158g
210. Hollander D. Intestinal permeability, leaky gut, and intestinal disorders. Curr
Gastroenterol Rep (1999) 1:410–6. doi:10.1007/s11894-999-0023-5
211. Odenwald MA, Turner JR. Intestinal permeability defects: is it time to treat?
Clin Gastroenterol Hepatol (2013) 11:1075–83. doi:10.1016/j.cgh.2013.07.001
212. Anders HJ, Andersen K, Stecher B. e intestinal microbiota, a leaky gut,
and abnormal immunity in kidney disease. Kidney Int (2013) 83:1010–6.
doi:10.1038/ki.2012.440
213. Gecse K, Roka R, Sera T, Rosztoczy A, Annahazi A, Izbeki F, et al. Leaky
gut in patients with diarrhea-predominant irritable bowel syndrome and
inactive ulcerative colitis. Digestion (2012) 85:40–6. doi:10.1159/000333083
214. Montoya JG, Kogelnik AM, Bhangoo M, Lunn MR, Flamand L, Merrihew LE,
etal. Randomized clinical trial to evaluate the ecacy and safety of valganci-
clovir in a subset of patients with chronic fatigue syndrome. J Med Virol
(2013) 85:2101–9. doi:10.1002/jmv.23713
215. Watt T, Oberfoell S, Balise R, Lunn MR, Kar AK, Merrihew L, etal. Response
to valganciclovir in chronic fatigue syndrome patients with human her-
pesvirus 6 and Epstein-Barr virus IgG antibody titers. J Med Virol (2012)
84:1967–74. doi:10.1002/jmv.23411
216. Hokama Y, Campora CE, Hara C, Kuribayashi T, Le Huynh D, Yabusaki K.
Anticardiolipin antibodies in the sera of patients with diagnosed chronic
fatigue syndrome. J Clin Lab Anal (2009) 23:210–2. doi:10.1002/jcla.20325
217. Hokama Y, Empey-Campora C, Hara C, Higa N, Siu N, Lau R, et al.
Acute phase phospholipids related to the cardiolipin of mitochondria in the
sera of patients with chronic fatigue syndrome (CFS), chronic Ciguatera
sh poisoning (CCFP), and other diseases attributed to chemicals, Gulf
War, and marine toxins. J Clin Lab Anal (2008) 22:99–105. doi:10.1002/
jcla.20217
218. Morris G, Berk M, Galecki P, Maes M. e emerging role of autoimmunity
in myalgic encephalomyelitis/chronic fatigue syndrome (ME/cfs). Mol
Neurobiol (2014) 49:741–56. doi:10.1007/s12035-013-8553-0
219. Ortega-Hernandez OD, Cuccia M, Bozzini S, Bassi N, Moscavitch S,
Diaz-Gallo LM, et al. Autoantibodies, polymorphisms in the serotonin
pathway, and human leukocyte antigen class II alleles in chronic fatigue
syndrome: are they associated with age at onset and specic symptoms? Ann
N Y Acad Sci (2009) 1173:589–99. doi:10.1111/j.1749-6632.2009.04802.x
220. Lorusso L, Mikhaylova SV, Capelli E, Ferrari D, Ngonga GK, Ricevuti G.
Immunological aspects of chronic fatigue syndrome. Autoimmun Rev (2009)
8:287–91. doi:10.1016/j.autrev.2008.08.003
221. Nancy AL, Shoenfeld Y. Chronic fatigue syndrome with autoantibodies –
the result of an augmented adjuvant eect of hepatitis-B vaccine and
silicone implant. Autoimmun Rev (2008) 8:52–5. doi:10.1016/j.autrev.
2008.07.026
222. Staines DR. Is chronic fatigue syndrome an autoimmune disorder of endog-
enous neuropeptides, exogenous infection and molecular mimicry? Med
Hypotheses (2004) 62:646–52. doi:10.1016/j.mehy.2004.01.010
223. Landi A, Broadhurst D, Vernon SD, Tyrrell DL, Houghton M. Reductions
in circulating levels of IL-16, IL-7 and VEGF-A in myalgic encephalomy-
elitis/chronic fatigue syndrome. Cytokine (2016) 78:27–36. doi:10.1016/j.
cyto.2015.11.018
224. Hornig M, Gottschalk CG, Eddy ML, Che X, Ukaigwe JE, Peterson DL,
etal. Immune network analysis of cerebrospinal uid in myalgic encephalo-
myelitis/chronic fatigue syndrome with atypical and classical presentations.
Transl Psychiatry (2017) 7:e1080. doi:10.1038/tp.2017.44
225. Hornig M, Montoya JG, Klimas NG, Levine S, Felsenstein D, Bateman L,
etal. Distinct plasma immune signatures in ME/CFS are present early in the
course of illness. Sci Adv (2015) 1:1–10. doi:10.1126/sciadv.1400121
226. Montoya JG, Holmes TH, Anderson JN, Maecker HT, Rosenberg-Hasson Y,
Valencia IJ, et al. Cytokine signature associated with disease severity
in chronic fatigue syndrome patients. Proc Natl Acad Sci U S A (2017)
114:E7150–8. doi:10.1073/pnas.1710519114
227. Blundell S, Ray KK, Buckland M, White PD. Chronic fatigue syndrome
and circulating cytokines: a systematic review. Brain Behav Immun (2015)
50:186–95. doi:10.1016/j.bbi.2015.07.004
18
Blomberg et al. Infection Elicited Autoimmunity and ME/CFS
Frontiers in Immunology | www.frontiersin.org February 2018 | Volume 9 | Article 229
228. Peterson D, Brenu EW, Gottschalk G, Ramos S, Nguyen T, Staines D, et al.
Cytokines in the cerebrospinal uids of patients with chronic fatigue syn-
drome/myalgic encephalomyelitis. Mediators Inamm (2015) 2015:929720.
doi:10.1155/2015/929720
229. Hardcastle SL, Brenu EW, Johnston S, Nguyen T, Huth T, Ramos S, et al.
Longitudinal analysis of immune abnormalities in varying severities of
chronic fatigue syndrome/myalgic encephalomyelitis patients. J Transl Med
(2015) 13:299. doi:10.1186/s12967-015-0653-3
230. Stringer EA, Baker KS, Carroll IR, Montoya JG, Chu L, Maecker HT, etal.
Daily cytokine uctuations, driven by leptin, are associated with fatigue
severity in chronic fatigue syndrome: evidence of inammatory pathology.
J Transl Med (2013) 11:93. doi:10.1186/1479-5876-11-93
231. Brenu EW, van Driel ML, Staines DR, Ashton KJ, Ramos SB, Keane J,
et al. Immunological abnormalities as potential biomarkers in chronic
fatigue syndrome/myalgic encephalomyelitis. J Transl Med (2011) 9:81.
doi:10.1186/1479-5876-9-81
232. James K, Al-Ali S, Tarn J, Cockell SJ, Gillespie CS, Hindmarsh V, et al.
A transcriptional signature of fatigue derived from patients with Primary
Sjogren’s syndrome. PLoS One (2015) 10:e0143970. doi:10.1371/journal.
pone.0143970
233. Nijs J, Nees A, Paul L, De Kooning M, Ickmans K, Meeus M, etal. Altered
immune response to exercise in patients with chronic fatigue syndrome/
myalgic encephalomyelitis: a systematic literature review. Exerc Immunol
Rev (2014) 20:94–116.
234. Light KC, Agarwal N, Iacob E, White AT, Kinney AY, VanHaitsma TA,
et al. Diering leukocyte gene expression proles associated with fatigue
in patients with prostate cancer versus chronic fatigue syndrome. Psy-
choneuroendocrinology (2013) 38:2983–95. doi:10.1016/j.psyneuen.2013.
08.008
235. White AT, Light AR, Hughen RW, Vanhaitsma TA, Light KC. Dierences
in metabolite-detecting, adrenergic, and immune gene expression aer
moderate exercise in patients with chronic fatigue syndrome, patients with
multiple sclerosis, and healthy controls. Psychosom Med (2012) 74:46–54.
doi:10.1097/PSY.0b013e31824152ed
236. Light AR, Bateman L, Jo D, Hughen RW, Vanhaitsma TA, White AT, etal.
Gene expression alterations at baseline and following moderate exercise in
patients with chronic fatigue syndrome and bromyalgia syndrome. J Intern
Med (2012) 271:64–81. doi:10.1111/j.1365-2796.2011.02405.x
237. White AT, Light AR, Hughen RW, Bateman L, Martins TB, Hill HR, etal.
Severity of symptom are aer moderate exercise is linked to cytokine
activity in chronic fatigue syndrome. Psychophysiology (2010) 47:615–24.
doi:10.1111/j.1469-8986.2010.00978.x
238. Light AR, White AT, Hughen RW, Light KC. Moderate exercise increases
expression for sensory, adrenergic, and immune genes in chronic fatigue
syndrome patients but not in normal subjects. J Pain (2009) 10:1099–112.
doi:10.1016/j.jpain.2009.06.003
239. Jammes Y, Steinberg JG, Delliaux S. Chronic fatigue syndrome: acute
infection and history of physical activity aect resting levels and response
to exercise of plasma oxidant/antioxidant status and heat shock proteins.
J Intern Med (2012) 272:74–84. doi:10.1111/j.1365-2796.2011.02488.x
240. Hornig M, Gottschalk G, Peterson DL, Knox KK, Schultz AF, E ddy ML, etal.
Cytokine network analysis of cerebrospinal uid in myalgic encephalomyeli-
tis/chronic fatigue syndrome. Mol Psychiatry (2016) 21:261–9. doi:10.1038/
mp.2015.29
241. Clark LV, Buckland M, Murphy G, Taylor N, Vleck V, Mein C, etal. Cytokine
responses to exercise and activity in patients with chronic fatigue syndrome:
case-control study. Clin Exp Immunol (2017) 190:360–71. doi:10.1111/
cei.13023
242. Russell L, Broderick G, Taylor R, Fernandes H, Harvey J, Barnes Z, etal.
Illness progression in chronic fatigue syndrome: a shiing immune baseline.
BMC Immunol (2016) 17:3. doi:10.1186/s12865-016-0142-3
243. Keijmel SP, Raijmakers RP, Bleeker-Rovers CP, van der Meer JW, Netea MG,
Schoelen T, et al. Altered interferon-gamma response in patients with
Q-fever fatigue syndrome. J Infect (2016) 72:478–85. doi:10.1016/j.jinf.
2016.01.004
244. Smylie AL, Broderick G, Fernandes H, Razdan S, Barnes Z, Collado F,
etal. A comparison of sex-specic immune signatures in Gulf War illness and
chronic fatigue syndrome. BMC Immunol (2013) 14:29. doi:10.1186/1471-
2172-14-29
245. Petty RD, McCarthy NE, Le Dieu R, Kerr JR. MicroRNAs hsa-miR-99b, hsa-
miR-330, hsa-miR-126 and hsa-miR-30c: potential diagnostic biomarkers
in natural killer (NK) cells of patients with chronic fatigue syndrome
(CFS)/myalgic encephalomyelitis (ME). PLoS One (2016) 11:e0150904.
doi:10.1371/journal.pone.0150904
246. Brenu EW, van Driel ML, Staines DR, Ashton KJ, Hardcastle SL, Keane J, etal.
Longitudinal investigation of natural killer cells and cytokines in chronic
fatigue syndrome/myalgic encephalomyelitis. J Transl Med (2012) 10:88.
doi:10.1186/1479-5876-10-88
247. Klimas NG, Koneru AO. Chronic fatigue syndrome: inammation, immune
function, and neuroendocrine interactions. Curr Rheumatol Rep (2007)
9:482–7. doi:10.1007/s11926-007-0078-y
248. Brenu EW, Ashton KJ, van Driel M, Staines DR, Peterson D, Atkinson GM,
et al. Cytotoxic lymphocyte microRNAs as prospective biomarkers for
chronic fatigue syndrome/myalgic encephalomyelitis. J Aect Disord (2012)
141:261–9. doi:10.1016/j.jad.2012.03.037
249. eorell J, Bileviciute-Ljungar I, Tesi B, Schlums H, Johnsgaard MS, Asadi-
Azarbaijani B, et al. Unperturbed cytotoxic lymphocyte phenotype and
function in myalgic encephalomyelitis/chronic fatigue syndrome patients.
Front Immunol (2017) 8:723. doi:10.3389/mmu.2017.00723
250. Calabrese LH, Davis ME, Wilke WS. Chronic fatigue syndrome and a
disorder resembling Sjogren’s syndrome: preliminary report. Clin Infect
Dis (1994) 18(Suppl 1):S28–31. doi:10.1093/clinids/18.Supplement_
1.S28
251. Morris G, Maes M. Myalgic encephalomyelitis/chronic fatigue syndrome
and encephalomyelitis disseminata/multiple sclerosis show remarkable
levels of similarity in phenomenology and neuroimmune characteristics.
BMC Med (2013) 11:205. doi:10.1186/1741-7015-11-205
252. Klimas NG, Broderick G, Fletcher MA. Biomarkers for chronic fatigue. Brain
Behav Immun (2012) 26:1202–10. doi:10.1016/j.bbi.2012.06.006
253. Norheim KB, Jonsson G, Omdal R. Biological mechanisms of chronic fatigue.
Rheumatology (Oxford) (2011) 50:1009–18. doi:10.1093/rheumatology/
keq454
254. Nijs J, Van Oosterwijck J, Meeus M, Lambrecht L, Metzger K, Fremont M,
etal. Unravelling the nature of postexertional malaise in myalgic enceph-
alomyelitis/chronic fatigue syndrome: the role of elastase, complement
C4a and interleukin-1beta. J Intern Med (2010) 267:418–35. doi:10.1111/j.
1365-2796.2009.02178.x
255. Stein E, MacQuarrie M. Myalgic encephalomyelitis/chronic fatigue syn-
drome (ME/CFS) program and interdisciplinary research symposium on
disabling fatigue in chronic illness. Chronic Dis Can (2009) 29:136–8.
256. Piche T, Gelsi E, Schneider SM, Hebuterne X, Giudicelli J, Ferrua B, etal.
Fatigue is associated with high circulating leptin levels in chronic hepatitis
C. Gut (2002) 51:434–9. doi:10.1136/gut.51.3.434
257. Harvey JM, Broderick G, Bowie A, Barnes ZM, Katz BZ, O’Gorman MR,
etal. Tracking post-infectious fatigue in clinic using routine Lab tests. BMC
Pediatr (2016) 16:54. doi:10.1186/s12887-016-0596-8
258. Clark JE, Fai Ng W, Watson S, Newton JL. e aetiopathogenesis of fatigue:
unpredictable, complex and persistent. Br Med Bull (2016) 117:139–48.
doi:10.1093/bmb/ldv057
259. Maughan D, Toth M. Discerning primary and secondary factors responsible
for clinical fatigue in multisystem diseases. Biology (Basel) (2014) 3:606–22.
doi:10.3390/biology3030606
260. Light AR, Vierck CJ, Light KC. Myalgia and fatigue: translation from
mouse sensory neurons to bromyalgia and chronic fatigue syndromes.
In: Kruger L, Light AR, editors. Translational Pain Research: From Mouse
to Man. Boca Raton, FL: CRC Press (2010).
261. Abbas G, Jorgensen RA, Lindor KD. Fatigue in primary biliary cirrhosis.
Nat Rev Gastroenterol Hepatol (2010) 7:313–9. doi:10.1038/nrgastro.
2010.62
262. Gorman GS, Elson JL, Newman J, Payne B, McFarland R, Newton JL,
etal. Perceived fatigue is highly prevalent and debilitating in patients with
mitochondrial disease. Neuromuscul Disord (2015) 25:563–6. doi:10.1016/j.
nmd.2015.03.001
263. Finsterer J, Ahting U. Mitochondrial depletion syndromes in children and
adults. Can J Neurol Sci (2013) 40:635–44. doi:10.1017/S0317167100014852
264. Piraino B, Vollmer-Conna U, Lloyd AR. Genetic associations of fatigue and
other symptom domains of the acute sickness response to infection. Brain
Behav Immun (2012) 26:552–8. doi:10.1016/j.bbi.2011.12.009
19
Blomberg et al. Infection Elicited Autoimmunity and ME/CFS
Frontiers in Immunology | www.frontiersin.org February 2018 | Volume 9 | Article 229
265. Proal AD, Albert PJ, Marshall TG, Blaney GP, L indseth IA. Immunostimulation
in the treatment for chronic fatigue syndrome/myalgic encephalomyelitis.
Immunol Res (2013) 56:398–412. doi:10.1007/s12026-013-8413-z
266. Zachrisson O, Colque-Navarro P, Gottfries CG, Regland B, Mollby R.
Immune modulation with a staphylococcal preparation in bromyalgia/
chronic fatigue syndrome: relation between antibody levels and clinical
improvement. Eur J Clin Microbiol Infect Dis (2004) 23:98–105. doi:10.1007/
s10096-003-1062-8
267. Andersson M, Bagby JR, Dyrehag L, Gottfries C. Eects of staphylococcus
toxoid vaccine on pain and fatigue in patients with bromyalgia/chronic
fatigue syndrome. Eur J Pain (1998) 2:133–42. doi:10.1016/S1090-3801
(98)90006-4
268. Tedder TF. CD19: a promising Bcell target for rheumatoid arthritis. Nat Rev
Rheumatol (2009) 5:572–7. doi:10.1038/nrrheum.2009.184
269. Chang CM, Warren JL, Engels EA. Chronic fatigue syndrome and sub-
sequent risk of cancer among elderly US adults. Cancer (2012) 118:5929–36.
doi:10.1002/cncr.27612
270. Rose NR, Bona C. Dening criteria for autoimmune diseases (Witebsky’s
postulates revisited). Immunol Today (1993) 14:426–30. doi:10.1016/0167-
5699(93)90244-F
271. Rutherford G, Manning P, Newton JL. Understanding muscle dysfunction
in chronic fatigue syndrome. J Aging Res (2016) 2016:2497348. doi:10.1155/
2016/2497348
272. Twisk FN. Accurate diagnosis of myalgic encephalomyelitis and chronic
fatigue syndrome based upon objective test methods for characteristic
symptoms. World J Methodol (2015) 5:68–87. doi:10.5662/wjm.v5.i2.68
273. Snell CR, Stevens SR, Davenport TE, Van Ness JM. Discriminative validity
of metabolic and workload measurements for identifying people with
chronic fatigue syndrome. Phys er (2013) 93:1484–92. doi:10.2522/
ptj.20110368
274. Margulis L. Origin of Eukar yotic Cells. New Haven, CT: Yale University Press
(1970).
275. Fluge O, Mella O, Bruland O, Risa K, Dyrstad SE, Alme K, etal. Metabolic
proling indicates impaired pyruvate dehydrogenase function in myalgic
encephalopathy/chronic fatigue syndrome. JCI Insight (2016) 1:e89376.
doi:10.1172/jci.insight.89376
276. Germain A, Ruppert D, Levine SM, Hanson MR. Metabolic proling of a
myalgic encephalomyelitis/chronic fatigue syndrome discovery cohort
reveals disturbances in fatty acid and lipid metabolism. Mol Biosyst (2017)
13:371–9. doi:10.1039/c6mb00600k
277. Regland B, Andersson M, Abrahamsson L, Bagby J, Dyrehag LE, Gottfries CG.
Increased concentrations of homocysteine in the cerebrospinal uid in
patients with bromyalgia and chronic fatigue syndrome. Scand J Rheumatol
(1997) 26:301–7. doi:10.3109/03009749709105320
278. Fenouillet E, Vigouroux A, Steinberg JG, Chagvardie A, Retornaz F,
Guieu R, etal. Association of biomarkers with health-related quality of life
and history of stressors in myalgic encephalomyelitis/chronic fatigue syn-
drome patients. J Transl Med (2016) 14:251. doi:10.1186/s12967-016-1010-x
279. Yamano E, Sugimoto M, Hirayama A, Kume S, Yamato M, Jin G, etal.
Index markers of chronic fatigue syndrome with dysfunction of TCA and
urea cycles. Sci Rep (2016) 6:34990. doi:10.1038/srep34990
280. Naviaux RK, Naviaux JC, Li K, Bright AT, Alaynick WA, Wang L, et al.
Metabolic features of chronic fatigue syndrome. Proc Natl Acad Sci U S A
(2016) 113:E5472–80. doi:10.1073/pnas.1607571113
281. Shungu DC, Weiduschat N, Murrough JW, Mao X, Pillemer S, Dyke JP, etal.
Increased ventricular lactate in chronic fatigue syndrome. III. Relationships
to cortical glutathione and clinical symptoms implicate oxidative stress in
disorder pathophysiology. NMR Biomed (2012) 25:1073–87. doi:10.1002/
nbm.2772
282. Armstrong CW, McGregor NR, Butt HL, Gooley PR. Metabolism in
chronic fatigue syndrome. Adv Clin Chem (2014) 66:121–72. doi:10.1016/
B978-0-12-801401-1.00005-0
283. Ciregia F, Kollipara L, Giusti L, Zahedi RP, Giacomelli C, Mazzoni MR,
et al. Bottom-up proteomics suggests an association between dierential
expression of mitochondrial proteins and chronic fatigue syndrome. Transl
Psychiatry (2016) 6:e904. doi:10.1038/tp.2016.184
284. Armstrong CW, McGregor NR, Sheedy JR, Butteld I, Butt HL, Gooley PR.
NMR metabolic proling of serum identies amino acid disturbances in
chronic fatigue syndrome. Clin Chim Acta (2012) 413:1525–31. doi:10.1016/j.
cca.2012.06.022
285. Myhill S, Booth NE, McLaren-Howard J. Targeting mitochondrial dysfunc-
tion in the treatment of myalgic encephalomyelitis/chronic fatigue syndrome
(ME/CFS) – a clinical audit. Int J Clin Exp Med (2013) 6:1–15.
286. Booth NE, Myhill S, McLaren-Howard J. Mitochondrial dysfunction and the
pathophysiology of myalgic encephalomyelitis/chronic fatigue syndrome
(ME/CFS). Int J Clin Exp Med (2012) 5:208–20.
287. Purohit T, Cappell MS. Primary biliary cirrhosis: pathophysiology, clinical
presentation and therapy. Wor ld J Hepatol (2015) 7:926–41. doi:10.4254/wjh.
v7.i7.926
288. Z avala-Cerna MG, Martinez-Garcia EA, Torres-Bugarin O, Rubio-Jurado B,
Riebeling C, Nava A. e clinical signicance of posttranslational modi-
fication of autoantigens. Clin Rev Allergy Immunol (2014) 47:73–90.
doi:10.1007/s12016-014-8424-0
289. Wang L, Wang FS, Chang C, Gershwin ME. Breach of tolerance: pri-
mary biliary cirrhosis. Semin Liver Dis (2014) 34:297–317. doi:10.1055/s-
0034-1383729
290. Juran BD, Lazaridis KN. Environmental factors in primary biliary cirrhosis.
Semin Liver Dis (2014) 34:265–72. doi:10.1055/s-0034-1383726
291. Christen U, Hintermann E. Pathogen infection as a possible cause for auto-
immune hepatitis. Int Rev Immunol (2014) 33:296–313. doi:10.3109/088301
85.2014.921162
292. Kadaja L, Kisand KE, Peet N, Braun U, Metskula K, Teesalu K, etal. IgG
from patients with liver diseases inhibit mitochondrial respiration in
permeabilized oxidative muscle cells: impaired function of intracellu-
lar energetic units? Mol Cell Biochem (2004) 256-257(1–2):291–303.
doi:10.1023/B:MCBI.0000009876.23921.e6
293. Torrente-Segarra V, Salman-Monte TC, Rua-Figueroa I, Perez-Vicente S,
Lopez-Longo FJ, Galindo-Izquierdo M, etal. Fibromyalgia prevalence and
related factors in a large registry of patients with systemic lupus erythemato-
sus. Clin Exp Rheumatol (2016) 34:40–7.
294. Giacomelli C, Talarico R, Baldini C, Bazzichi L. Pain in Sjogren’s syndrome.
Reumatismo (2014) 66:39–43. doi:10.4081/reumatismo.2014.763
295. Fox RI. Sjogren’s syndrome. Lancet (2005) 366:321–31. doi:10.1016/S0140-
6736(05)66990-5
296. Bonafede RP, Downey DC, B ennett RM. An association of bromyalgia with
primary Sjogren’s syndrome: a prospective study of 72 patients. J Rheumatol
(1995) 22:133–6.
297. Donmez S, Pamuk ON, Umit EG, Top MS. Autoimmune rheumatic disease
associated symptoms in bromyalgia patients and their inuence on anxiety,
depression and somatisation: a comparative study. Clin Exp Rheumatol
(2012) 30:65–9.
298. Aaron LA, Burke MM, Buchwald D. Overlapping conditions among
patients with chronic fatigue syndrome, bromyalgia, and temporoman-
dibular disorder. Arch Intern Med (2000) 160:221–7. doi:10.1001/archinte.
160.2.221
299. Gerdle B, Forsgren MF, Bengtsson A, Leinhard OD, Soren B, Karlsson A,
etal. Decreased muscle concentrations of ATP and PCR in the quadriceps
muscle of bromyalgia patients – a 31P-MRS study. Eur J Pain (2013)
17:1205–15. doi:10.1002/j.1532-2149.2013.00284.x
300. Lund E, Kendall SA, Janerot-Sjoberg B, Bengtsson A. Muscle metabolism
in bromyalgia studied by P-31 magnetic resonance spectroscopy during
aerobic and anaerobic exercise. Scand J Rheumatol (2003) 32:138–45.
doi:10.1080/03009740310002461
301. Cook DB, O’Connor PJ, Lange G, Steener J. Functional neuroimaging
correlates of mental fatigue induced by cognition among chronic fatigue syn-
drome patients and controls. Neuroimage (2007) 36:108–22. doi:10.1016/j.
neuroimage.2007.02.033
302. Keech A, Sandler CX, Vollmer-Conna U, Cvejic E, Lloyd AR, Barry BK.
Capturing the post-exertional exacerbation of fatigue following physical
and cognitive challenge in patients with chronic fatigue syndrome.
J Psychosom Res (2015) 79:537–49. doi:10.1016/j.jpsychores.2015.
08.008
303. Murrough JW, Mao X, Collins KA, Kelly C, Andrade G, Nestadt P, et al.
Increased ventricular lactate in chronic fatigue syndrome measured by 1H
MRS imaging at 3.0 T. II: comparison with major depressive disorder. NMR
Biomed (2010) 23:643–50. doi:10.1002/nbm.1512