| Literature DB >> 29497420 |
Jonas Blomberg1, Carl-Gerhard Gottfries2, Amal Elfaitouri3, Muhammad Rizwan1, Anders Rosén4.
Abstract
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.Entities:
Keywords: autoimmunity; chronic fatigue syndrome; irritable bowel syndrome; myalgic encephalomyelitis; postexertional malaise
Mesh:
Substances:
Year: 2018 PMID: 29497420 PMCID: PMC5818468 DOI: 10.3389/fimmu.2018.00229
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
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 comorbidity 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? |
Figure 1Approximate 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 2Mutational 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).
Occurrence of autoantibodies in ME/CFS and some of its comorbidities.
| 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 ( | Ganglioside ( | β-Adrenergic and muscarinic cholinergic ( | HSP60 ( | ||
| Fibromyalgia (35–73%) ( | Potassium channel transporter ( | |||||
| (hypo)Thyroidism (thyroiditis by cytology, 40%, wide definition of chronic fatigue) ( | Thyroperoxidase ( | Thyroid-stimulating hormone ( | ||||
| Postural orthostatic tachycardia syndrome and/or orthostatic hypotension (27%) ( | Acetylcholine ( | Calcium channel transporter ( | ||||
| Irritable bowel syndrome (35–90%) ( | Vinculin and cytolethal distending toxin B ( | |||||
.
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) | ( |
| Q fever | Post Q fever fatigue | 10–20% (6–12 months) | ( | |
| Giardiasis | Post Giardia fatigue | <1% (12 months) | ( | |
| Ross River virus | Ross River virus infection | Post Ross River fatigue | 11% (6 months); 9% (12 months) | ( |
| Chikungunya virus | Chikungunya virus infection | Post Chikungunya fatigue (often together with arthralgia) | 20% over background (≥12 months) | ( |
| West Nile virus | West Nile virus infection | Post West Nile fatigue | 31% (6 months) | ( |
| Dengue virus | Dengue fever | Post Dengue fatigue | 8% (2 months) | ( |
| Ebola virus | Ebola hemorrhagic fever | Post Ebola fatigue | Not clear, at least 10% (6 months) | ( |
| SARS corona virus | Severe acute respiratory syndrome | Post SARS syndrome | Approximately 22/400 = 6% (≥12 months) | ( |
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 | ( |
| Guillain–Barré syndrome | Bacterium and virus | Gangliosides; unknown antigen | ( | |
| “Nodding disease” | Worm | Unknown antigen | ( | |
| Pediatric autoimmune neuropsychiatric disorders associated with streptococcal infection (PANDAS) | Bacterium | Carbohydrate antigens? | ( | |
| Multiple sclerosis | Epstein–Barr virus and other pathogens | Virus and bacteria | Myelin basic protein, proteolipid protein, and myelin oligodendrocyte glycoprotein | ( |
A selective list of cytokines whose concentrations were reported to change in ME/CFS.
| Cytokine | Body fluid | Up- or downregulation | Reference | Comment |
|---|---|---|---|---|
| TGFα | Serum | + | ( | |
| TGFβ | Serum | + | ( | Most consistent finding, although one inconclusive ( |
| TNFα | Serum | + | ( | Elevated early after debut |
| IFN-γ | Serum | + | ( | Elevated early after debut |
| IL1α | Serum | + | ( | Elevated in early stage of ME/CFS |
| Eotaxin-1 (CCL11) | Serum | −, + | ( | Positively correlated with severity and low early after debut |
| Eotaxin-2 (CCL24) | Serum | + | ( | |
| Leptin | Serum | − | ( | Inversely correlated with severity |
| IL13 | Serum | + | ( | Positively correlated with severity |
| IL6 | Serum | + | ( | Elevated early after debut |
| IL7 | Serum | − | ( | |
| IL8 | Serum | + | ( | Elevated early after debut |
| IL10 | Cerebrospinal fluid | − | ( | |
| IL16 | Serum | − | ( | |
| IL17A | Serum | + | ( | Elevated early after debut |
| VEGFα | Serum | − | ( |
Figure 3Metabolites 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.
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 | − | ( | |
| Homocysteine | Cerebrospinal fluid (CSF) | + | ( | ||
| Oxidation | Reactive oxygen species (peroxide, etc.) | Serum | + | ( | Measured using thiobarbituric acid reactive substances |
| Amino acid metabolism (anaplerotic amino acids) | Leucine, isoleucine, phenylalanine, and tyrosine | Blood | − | ( | |
| Urea cycle and amino acid metabolism | Citrulline | Blood and urine | − | ( | |
| Ornithine | Blood and urine | + | ( | ||
| Lipid metabolism | Phospholipids, including cardiolipin | Blood | − | ( | |
| Acyl carnitine | Blood | − | ( | ||
| (Glyco)sphingolipids | Blood | − | ( | ||
| Glycolysis | Lactate | Blood and CSF (muscle) | + | ( | Higher after exercise (physical and mental) |
| Tricarboxylic acid cycle (TCA) | Isocitrate | Blood | − | ( | |
| TCA | Succinate | Blood and urine | − | ( | |
| TCA | Aconitate hydratase protein | Saliva | + | ( | |
| ATP synthase protein | Saliva | + | ( | ||
| ATP translocase | Saliva | − | ( | ||
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 ( HLA: increase in DQA1*01 ( IgG subclass deficiency ( | Imperfect, needs deeper study Presence of transmissible agent not excluded |
| Changes in microbiota | Reduced overall diversity ( Divergence more concentrated to certain taxa ( | Imperfect, needs deeper study |
| Gut microleakage | Increased lipopolysaccharide (LPS), LPS-binding protein, and sCD14 in blood ( | Imperfect, needs deeper study |
| Autoantibodies | Yes, but maybe not disease specific (see Table | Imperfect, needs deeper study |
| Triggering antigenic challenge | Epstein–Barr virus infection is a common trigger, some other infections also (see Table | 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 ( Increased frequency of B cell lymphomas in ME/CFS patients ( | 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 ( | Imperfect, needs deeper study |
| Disturbance of energy metabolism | Clear evidence of energy metabolic disturbance ( | Imperfect. Needs more observations, especially with reference to exercise |
| Autoimmunity causing energy metabolic disturbance | Circulating energy inhibitory factors demonstrated (like in primary biliary cirrhosis) ( | Molecular nature of inhibitors is unknown. If they are immunoglobulins, can they reach intracellular targets? |