Cognitive effort can induce PEM and worsening of ME/CFS symptoms.
PEM is associated with changes in functional connectivity of the salience network.
Increased right insular FC with frontal areas is associated with symptom worsening.
Research abstract:
Background
A common symptom of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is post-exertional malaise (PEM). Various brain abnormalities have been observed in patients with ME/CFS, especially in insular and limbic system, but their link with ME/CFS symptoms is still unclear. This pilot study aimed at investigating the association between PEM in ME/CFS and changes in functional connectivity (FC) of two main networks: the salience network (SN) and the default-mode network (DMN).
Methods
A total of 16 women, 6 with and 10 without ME/CFS, underwent clinical and MRI assessment before and after cognitive exertion. Resting-state FC maps of 7 seeds (3 for the SN and 4 for the DMN) and clinical measures of fatigue, pain and cognition were analysed with repeated-measure models. FC-symptom change associations were also investigated
Results
Exertion induced increases in fatigue and pain in patients with ME/CFS, compared to the control group, while no changes were found in cognitive performance. At baseline, patients showed altered FC between some DMN seeds and frontal areas and stronger FC between all SN seeds and left temporal areas and the medulla. Significantly higher FC increases in patients than in controls were found only between the right insular seed and frontal and subcortical areas; these increases correlated with worsening of symptoms.
Conclusions
Cognitive exertion can induce worsening of ME/CFS-related symptoms.
These changes were here associated with strengthening of FC of the right insula with areas involved in reward processing and cognitive control.
Muscle pain, fatigue, and concentration problems are common among individuals with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). These symptoms are commonly increased as part of the phenomenon of postexertional malaise (PEM). An increase in the severity of these symptoms is described following physical or mental exercise in ME/CFS patients.
Another important symptom of ME/CFS is orthostatic intolerance, which can be detected by head-up tilt testing (HUT). The effect of HUT on PEM has not been studied extensively. For this purpose, we assessed numeric rating scales (NRS) for pain, fatigue, and concentration pre- and post-HUT. As pain is a core symptom in fibromyalgia (FM), we subgrouped ME/CFS patients by the presence or absence of FM.
Methods and Results
In eligible ME/CFS patients who underwent HUT, NRS of pain, fatigue, and concentration were obtained pre-HUT, immediately after HUT, at 24 and 48 h, and at 7 days post test. We studied 174 ME/CFS patients with FM, 104 without FM, and 30 healthy controls (HC). Values for all symptoms were unchanged for HC pre- and post-HUT. Compared with pre-HUT, the three NRS post-HUT were significantly elevated in both ME/CFS patient groups even after 7 days. NRS pain was significantly higher at all time points measured in the ME/CFS patients with FM compared with those without FM.
In ME/CFS patients, the maximum fatigue and concentration scores occurred directly post-HUT, whereas pain perception reached the maximum 24 h post-HUT.
Conclusion
NRS scores of pain, fatigue, and concentration were significantly increased even at 7 days post-HUT compared with pre-HUT in ME/CFS patients with and without FM, suggesting that orthostatic stress is an important determinant of PEM.
Figure 1. Model depicting how the combined effect of environmental insults, and stress in genetically susceptible individuals can trigger neurological, immune and metabolic dysfunction, which together could contribute to the symptomology observed in ME/CFS
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) or Systemic Exertion Intolerance Disease (SEID) is a chronic multisystem illness of unconfirmed etiology. There are currently no biomarkers and/or signatures available to assist in the diagnosis of the syndrome and while numerous mechanisms have been hypothesized to explain the pathology of ME/CFS, the triggers and/or drivers remain unknown.
Initial studies suggested a potential role of the human herpesviruses especially Epstein-Barr virus (EBV) in the disease process but inconsistent and conflicting data led to the erroneous suggestion that these viruses had no role in the syndrome.
New studies using more advanced approaches have now demonstrated that specific proteins encoded by EBV could contribute to the immune and neurological abnormalities exhibited by a subgroup of patients with ME/CFS. Elucidating the role of these herpesvirus proteins in ME/CFS may lead to the identification of specific biomarkers and the development of novel therapeutics.
5. Conclusions and Future Directions
It is clear that the lack of a universally accepted clinical criteria has led to multiple discrepancies, problems and confusion as to how to accurately diagnose and stratify patients with ME/CFS. This has severely hampered the pursue of studies to clearly define the environmental and genetic factors that act as triggers or the downstream mechanisms responsible for the development/progression of ME/CFS. Furthermore, numerous studies using small size patient cohorts, which lack the statistical power to achieve reproducible and rigorous results, have further complicated the task of identifying biomarkers/signatures that would be useful for diagnosing patients.
The role of some herpesviruses in the development and evolution of ME/CFS in a subset of patients has also been hampered because of the use of classical serological approaches focused primarily on viral proteins expressed during latency or late in the replicative cycle of these viruses or viral load as indicators for the involvement of herpesviruses in the pathobiology of ME/CFS. Recent studies using more advanced serological approaches as well as mechanistic studies have demonstrated the possible role of the EBV BRRF1 and BLLF3 gene products in ME/CFS pathophysiology.
Future directions should focus on exploring the use of these gene products for the development of novel therapeutics and/or as biomarkers with diagnostic application or disease progression. Additionally, additional studies need to be performed in light of the new evidence showing high level of abortive lytic replication of these viruses to determine whether other early herpesvirus proteins could contribute to the disease process.
Finally, since there is evidence suggesting simultaneous reactivation of multiple herpesviruses in a large percentage of ME/CFS patients, studies should examine whether or not there is cooperative effects between these viruses as well as other viruses within the virome that could contribute to human disease.
Myalgic encephalomyelitis / Chronic Fatigue Syndrome (ME/CFS) and Gulf War Illness (GWI) share many symptoms of fatigue, pain, and cognitive dysfunction that are not relieved by rest. Patterns of serum metabolites in ME/CFS and GWI are different from control groups and suggest potential dysfunction of energy and lipid metabolism. The metabolomics of cerebrospinal fluid was contrasted between ME/CFS, GWI and sedentary controls in 2 sets of subjects who had lumbar punctures after either (a) rest or (b) submaximal exercise stress tests.
Postexercise GWI and control subjects were subdivided according to acquired transient postexertional postural tachycardia. Banked cerebrospinal fluid specimens were assayed using Biocrates AbsoluteIDQ® p180 kits for quantitative targeted metabolomics studies of amino acids, amines, acylcarnitines, sphingolipids, lysophospholipids, alkyl and ether phosphocholines. Glutamate was significantly higher in the subgroup of postexercise GWI subjects who did not develop postural tachycardia after exercise compared to nonexercise and other postexercise groups. The only difference between nonexercise groups was higher lysoPC a C28:0 in GWI than ME/CFS suggesting this biochemical or phospholipase activities may have potential as a biomarker to distinguish between the 2 diseases.
Exercise effects were suggested by elevation of short chain acylcarnitine C5-OH (C3-DC-M) in postexercise controls compared to nonexercise ME/CFS. Limitations include small subgroup sample sizes and absence of postexercise ME/CFS specimens. Mechanisms of glutamate neuroexcitotoxicity may contribute to neuropathology and “neuroinflammation” in the GWI subset who did not develop postural tachycardia after exercise. Dysfunctional lipid metabolism may distinguish the predominantly female ME/CFS group from predominantly male GWI subjects.
Fibromyalgia and myalgic encephalomyelitis / chronic fatigue syndrome (ME/CFS) are poorly understood conditions with overlapping symptoms, fuelling debate as to whether they are manifestations of the same spectrum or separate entities. Both are associated with hypermobility, but this remains significantly undiagnosed, despite impact on quality of life.
Objective
We planned to understand the relevance of hypermobility to symptoms in fibromyalgia and ME/CFS.
Method
Sixty-three patient participants presented with a confirmed diagnosis of fibromyalgia and/or ME/CFS; 24 participants were healthy controls. Patients were assessed for symptomatic hypermobility.
Results
Evaluations showed exceptional overlap in patients between fibromyalgia and ME/CFS, plus 81% met Brighton criteria for hypermobility syndrome (odds ratio 7.08) and 18% met 2017 hypermobile Ehlers–Danlos syndrome (hEDS) criteria. Hypermobility scores significantly predicted symptom levels.
Conclusion
Symptomatic hypermobility is particularly relevant to fibromyalgia and ME/CFS, and our findings highlight high rates of mis-/underdiagnosis. These poorly understood conditions have a considerable impact on quality of life and our observations have implications for diagnosis and treatment targets.
Today, we know almost nothing for sure about what causes ME/CFS. We do know that the illness can be triggered by certain infectious diseases, such as glandular fever. But we don’t know why most people recover from those infections but a minority instead develop ME/CFS.
There are many competing hypotheses about what causes the illness, all with some evidence to support them. But nothing has yet been nailed down.
A scientific paper reviewed the available evidence about ME/CFS genetics and explained how big new DNA studies can help find causes of the disease.
The paper was written by Joshua Dibble, the PhD student of DecodeME’s lead scientist Professor Chris Ponting. He was funded by Action for ME and Scotland’s Chief Scientist Office. The other authors were Chris himself and Simon McGrath, who has ME/CFS and is also on the DecodeME team. In this blog post, we summarise our review.
Genetic studies offer a way forward because if genes are linked to ME/CFS, they must be a cause of the illness and not simply an effect of it. This is because diseases don’t change our DNA. In contrast, for studies looking at other molecules, any differences between patients and controls might simply be a consequence of the illness rather than a cause that drives it.
A very large genetic study can identify causes that have not previously been considered. In Alzheimer’s disease, for example, researchers were initially focusing on nerve cells in the brain. But big genetic studies drew researchers’ attention to other brain cells called glia that support the normal functioning of nerve cells.
In rheumatoid arthritis, genetic studies have helped to identify what goes wrong at the molecular level to set off the disease.
Comparing findings between different autoimmune diseases found that some of them shared a disease mechanism. As a result, drugs already used successfully in some autoimmune diseases are now used to treat patients with other autoimmune diseases that share a common mechanism.
Progress in all these diseases came from a type of genetic research called genome-wide association studies (GWAS).
GWAS shed light on many diseases that are caused not by a single gene but by many. In simple genetic diseases, such as cystic fibrosis, the illness is caused by a fault in a single gene. However, the role of genetics in most diseases is weaker, and usually the result of many different genetic differences, each having a small effect. Non-genetic factors, such as environmental influences and infections, also play a big role in most illnesses.
To reliably find the small genetic differences that occur in most diseases, we need very large studies: typically with at least 10,000 participants.
Evidence of a role for genetics in ME/CFS
Although usually just one person in a family gets ME/CFS, quite often more than one person is affected. This indicates that an increased risk of becoming ill with ME/CFS can run in families. Several studies have now provided evidence of an inherited, genetic role in ME/CFS, though the studies don’t agree on how big the role is.
ME/CFS genetics studies so far
Several studies of the genetics of ME/CFS have linked the disease to particular genes. However, none of these specific genetic links have yet been independently confirmed. Our paper critically reviews these studies.
The strongest genetic evidence to date
Human leucocyte antigens (HLA) proteins allow the immune system to target cancerous cells and cells infected by viruses and other bugs.
The situation with HLA genes (and proteins) is unusually complex. There are many genes for HLA proteins and often many versions of each gene.
The upshot of this is that we each have a set of HLA genes and while we will share individual HLA gene versions with other people, we are unlikely to have exactly the same set as anyone else.
(HLA genes also determine whether or not an organ transplant will be rejected. For an organ to be accepted, there must be a good match between the organ donor’s set of HLA genes and those of the person receiving the transplant.)
Certain versions of HLA genes increase the risk of autoimmune disease. Recently, two versions of HLA genes were linked to ME/CFS and each roughly doubled the risk of having ME/CFS. The study was large (458 patients, 4,500 controls) and done well, though the finding will need replication.
Other studies
The largest genetic studies to date used data from the UK Biobank of over half a million individuals. Nearly 2,000 of these individuals said they had a CFS diagnosis from a doctor (but it is not clear if they would meet specific ME/CFS criteria).
One analysis of these people with CFS found a link to a protein that transports an amino acid into mitochondria, the mini-power-stations of the cell. There is some evidence to support this finding. However, other slightly different analyses of the same data didn’t confirm this finding.
Our review also examines several other ME/CFS genetic studies. Most of them are rather small and some also appear to have technical shortcomings that we cover in the paper. For our review, we looked to see if the gene versions linked to ME/CFS in these studies were also linked to CFS using data from the UK Biobank. But disappointingly, they did not.
Benefits expected from ME/CFS Genome Wide Association Studies (GWAS)
Our review of available genetic studies and findings provides limited evidence that particular genes play a role in ME/CFS. It also highlights the need for larger and more rigorous studies that give more robust results. ME/CFS GWAS can do that.
GWAS have already helped to improve our understanding of the causes of many diseases and have helped to develop new treatments. GWAS for ME/CFS are long overdue. DecodeME will be the first study of this kind, and a Norwegian group is planning a separate ME/CFS GWAS. Replicated results from such studies would have four important benefits:
1. Finding causes
Positive results would help provide much needed insight into the biological causes of ME/CFS. In combination with other technologies, GWAS can pinpoint variations in DNA that change the activity of genes and as a result alter the risk of ME/CFS.
It is likely that many genes will be involved in increasing the risk of ME/CFS, each in a small way. If the genes turn out to have an activity in common (such as a particular immune function or the functioning of a certain type of brain cell), then that effectively flags up possible cellular or molecular causes of the disease. This would provide strong leads for further research.
2. Learning from other diseases
Researchers could investigate if the genetics of ME/CFS is shared with any other disease, indicating possible shared disease mechanisms. This provides the potential for reusing existing treatments to treat ME/CFS.
3. Subtypes and targeted treatments
GWAS findings could help split ME/CFS into different groups. This could eventually lead to identifying distinct subtypes of ME/CFS, each with a different cause and potentially a different treatment.
4. Respect
Lastly, discovering genetic factors that play a role in causing ME/CFS might improve how the disease is seen by both health professionals and society at large.
Find out more about the DecodeME GWAS and register for updates here on the DecodeME website.
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) involves severe fatigue, unrefreshing sleep, and cognitive impairment, leading to functional difficulties; prior studies have not evaluated risk factors with behavioral and immune data collected prior to developing ME/CFS. Up to 5% of university students develop infectious mononucleosis (IM) annually, and 9-12% meet criteria for ME/CFS six months later. We sought to determine predictors of ME/CFS.
Methods
We enrolled college students at the start of the school year (Time 1), identified those who developed IM (Time 2) and followed them for 6 months (Time 3), identifying three groups: those who developed ME/CFS, those who developed severe ME/CFS (meeting >1 set of criteria) and those who were asymptomatic. We conducted 8 behavioral and psychological surveys and analyzed cytokines at three time points.
Results
238 of the 4501 students (5.3%) developed IM; 6 months later, 55 of the 238 (23%) met criteria for ME/CFS and 157 (66%) were asymptomatic. 67 of the 157 asymptomatic students served as controls. Students with severe-ME/CFS were compared to students who were asymptomatic at three time points. The former group was not different from the latter group at Time 1 (prior to developing IM) in stress, coping, anxiety or depression, but were different in several behavioral measures and had significantly lower levels of IL-6 and IL-13. At Time 2 (when they developed IM), the two ME/CFS groups tended to have more autonomic complaints and behavioral symptoms while the severe- ME/CFS group had higher levels of IL-12 and lower levels of IL-13 than the recovered group.
Conclusion
At baseline, those who developed ME/CFS had more physical symptoms and immune irregularities, but not more psychological symptoms, than those who recovered.
“Some people who are attacked by a virus stay sick. What we’ve found is that their emotional functioning and psychological states are not statistically different from those who get attacked by the same virus and recover. This becomes important validating information for those people who have this illness,” said Jason.
ME/CFS scores as a large study cements the link between it and long COVID just after over a billion dollars is slated to go for long COVID research
“The findings show that—even in those people who don’t require hospitalization for severe COVID-19—the condition’s prolonged symptoms are having a major impact on lives and livelihoods, both here and around the world. While the number of people affected isn’t yet known, if even a small proportion of the vast numbers of people infected with COVID-19 develop Long COVID syndrome, it represents a significant public health concern.” Francis Collins Director of the NIH
The latest Body Politic study indicates that long COVID looks much like ME/CFS.
A important long COVID study, “Characterizing Long COVID in an International Cohort: 7 Months of Symptoms and Their Impact“, was recently released which left no doubt that long COVID patients are closely tracking with people with chronic fatigue syndrome (ME/CFS) symptom-wise. For once, the ME/CFS community was the beneficiary of superb timing: the study arrived not long after Congress had appropriated over a billion dollars to study long COVID.
The preprint (meaning it has not been peer-reviewed) study from Body Politic researchers and patients assessed a wide variety of symptoms only to have the top three symptoms associated with ME/CFS pop out. Just as in ME/CFS, fatigue (77.7%), post-exertional malaise (PEM) (72.2%) and cognitive dysfunction (55.4%) were the most common symptoms found in those still sick after six months. The researchers didn’t target these symptoms. Out of the 205 symptoms they asked about, these rose – like the cream in milk – to the top all by themselves. The symptoms slowly increased over time and tended to plateau about 2 months in.
The large study size – almost 4,000 respondents took part in the web-based study – added to the study’s cachet. While future studies will undoubtedly utilize long COVID patients diagnosed by doctors, this was a great start.
Post-exertional malaise rose to the fore. The fact that over 85% of long COVID patients reported experiencing a relapse mostly due to engaging in too much exercise, physical or mental activity, or stress, placed many of them firmly in the ME/CFS camp. (Note that the term post-exertional malaise (PEM) – which quickly found its way into the long COVID camp – was birthed in the ME/CFS community.)
Sixty-five percent reported still being ill six months after being infected. Only 27 percent had returned to their normal work schedules, 46% were working part-time and 23% were not working at all. The 23% unable to work bore some resemblance to the 25% of ME/CFS patients reported to be severely ill.
The most likely symptoms to persist after six months demonstrated that – as with ME/CFS – a body-wide illness had emerged which provided few avenues for relief:
The most likely symptoms to persist after 6 months: fatigue, post-exertional malaise, cognitive dysfunction (“brain fog”), neurologic sensations (neuralgias, weakness, coldness, electric shock sensations, facial paralysis/pressure/numbness), headaches, memory issues, insomnia, muscle aches, palpitations, shortness of breath, dizziness/balance issues, and speech and language issues.
The Gist
Not long after Congress provides a billion dollars plus for long-COVID research, a large web-based preprint study from the Body Politic finds striking connections between the symptoms found in long-COVID patients and people with ME/CFS.
The top three symptoms in long COVID (fatigue, post-exertional malaise and cognitive problems) are emblematic of those found in ME/CFS.
The vast majority of long-COVID patients reported experiencing an exertion-triggered relapse.
Over 20 percent were still unable to work after six months and almost 50% were working part-time. Only about 25% were still working full-time.
Long-COVID patients also commonly reported problems with sleep, cardiovascular and gut problems and a wide range of strange symptoms that many people with ME/CFS will relate to.
The study also uncovered a significant cohort of patients distinguished by high levels of fatigue and no post-exertional malaise.
A recent long and in-depth feature New York Times article uses ME/CFS experts to underscore the connection between ME/CFS and long COVID.
The NIH’s failure to develop programs to support long-COVID research smacks of its approach to ME/CFS over the years.
Despite acknowledging the immense nature of the long-COVID problem, and knowing that long-COVID money was coming its way, the NIH has not, almost a month later, provided a plan for spending the money.
Meanwhile, as the vaccines roll out, the opportunity to the catch long COVID in the act is beginning to diminish.
Persons living with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) vary widely in terms of the severity of their illness.
It is estimated that of those living with ME/CFS in the United States, about 385,000 are homebound. There is a need to know more about different degrees of being homebound within this severely affected group. The current study examined an international sample of 2138 study participants with ME/CFS, of whom 549 were severely affected (operationalized as ‘Homebound’). A subsample of 89 very severely affected participants (operationalized as ‘Homebound-bedridden’) was also examined.
The findings showed a significant association between severely and very severely affected participants within the post-exertional malaise (PEM) symptom domain. The implications of these findings are discussed.
4. Discussion (excerpt)
The findings of the current study indicated that PEM, social functioning, and physical functioning were significant predictors of a participant with ME/CFS being ‘Homebound’ (compared to ‘Not homebound’). Among symptom items in the DSQ-1 PEM domain, “next day soreness or fatigue after non-strenuous, everyday activity” and “physically drained or sick after mild activity” were the strongest predictors of ‘Homebound’ status. These predictive results were consistent with the mean comparisons reported by Pendergrast and colleagues [21].
Moreover, the unique aspect of our study was subdividing the ‘Homebound’ group into two subgroups: ‘Homebound-bedridden’ and ‘Homebound-not bedridden. We found that higher symptom scores in the PEM domain decreased the odds of a participant being ‘Homebound-bedridden’ (versus ‘Homebound-not bedridden’). Among the PEM symptom items, “minimum exercise makes you physically tired” significantly decreased the odds of a participant being ‘Homebound-bedridden’…
Our study found that participants who reported worse symptoms in the PEM domain [25] and less physical and social functioning [32] were at increased odds of being ‘Homebound’ (compared to ‘Not homebound’). Among participants who were classified as ‘Homebound,’ those who reported worse symptoms in the PEM domain were at decreased odds of being ‘Homebound-bedridden’ (compared to ‘Homebound-not bedridden’). We hypothesized that for participants who are ‘Homebound,’ those who are ‘Homeboundbedridden’ may experience less PEM symptomology because they are expending less energy. Based on the proportion of participants who were ‘Homebound’ in our study, we estimate that as many as 385,000 persons with ME/CFS are homebound in the United States. There is a pressing need to find ways of providing services to this under-resourced group.
Background: Q fever fatigue syndrome (QFS) is characterised by a state of prolonged fatigue that is seen in 20% of acute Q fever infections and has major health-related consequences. The molecular mechanisms underlying QFS are largely unclear. In order to better understand its pathogenesis, we applied a multi-omics approach to study the patterns of the gut microbiome, blood metabolome, and inflammatory proteome of QFS patients, and compared these with those of chronic fatigue syndrome (CFS) patients and healthy controls (HC).
Methods
The study population consisted of 31 QFS patients, 50 CFS patients, and 72 HC. All subjects were matched for age, gender, and general geographical region (South-East part of the Netherlands). The gut microbiome composition was assessed by Metagenomic sequencing using the Illumina HiSeq platform. A total of 92 circulating inflammatory markers were measured using Proximity Extension Essay and 1607 metabolic features were assessed with a high-throughput non-targeted metabolomics approach.
Protein MMP-1
Results Inflammatory markers, including 4E-BP1 (P = 9.60–16 and 1.41–7) and MMP-1 (P = 7.09–9 and 3.51–9), are significantly more expressed in both QFS and CFS patients compared to HC. Blood metabolite profiles show significant differences when comparing QFS (319 metabolites) and CFS (441 metabolites) patients to HC, and are significantly enriched in pathways like sphingolipid (P = 0.0256 and 0.0033) metabolism.
When comparing QFS to CFS patients, almost no significant differences in metabolome were found. Comparison of microbiome taxonomy of QFS and CFS patients with that of HC, shows both in- and decreases in abundancies in Bacteroidetes (with emphasis on Bacteroides and Alistiples spp.), and Firmicutes and Actinobacteria (with emphasis n Ruminococcus and Bifidobacterium spp.). When we compare QFS patients to CFS patients, there is a striking resemblance and hardly any significant differences in microbiome taxonomy are found.
Conclusions
We show that QFS and CFS patients are similar across three different omics layers and 4E-BP1 and MMP-1 have the potential to distinguish QFS and CFS patients from HC.