The impact of COVID-19 stress on pain and fatigue in people with and without a central sensitivity syndrome

Abstract:

Objectives: Stress may augment somatic symptoms in central sensitivity syndromes (CSS) such as fibromyalgia, chronic fatigue syndrome, and irritable bowel syndrome. To test this hypothesis, we examined whether the association between COVID-19 stress and somatic symptom severity would be stronger in people with than without CSS and whether psychological flexibility would buffer the impact of this stress on symptom severity.

Methods: In a 2-sample, repeated cross-sectional design, we analysed questionnaire data from Dutch people with and without CSS, collected in two independent surveys: before the COVID-19 pandemic (2018; CSS: n = 194, non-CSS: n = 337) and at the peak of the pandemic (2020; CSS: n = 428, non-CSS: n = 1101). Somatic symptom severity, worry and stress due to the pandemic, and psychological flexibility were examined in regression analyses. Two stress operationalisations were analysed: stress levels during the peak of the pandemic, and a comparison of measurements in 2020 and 2018 (assuming higher stress levels in 2020).

Results: Higher worry and stress during the pandemic (standardized β = 0.14), the presence of a CSS (β = 0.40), and lower psychological flexibility (β = -0.33) were all (p < .0001) associated with more severe somatic symptoms, but the associations of each stress operationalisation with somatic symptoms was not particularly strong in people with CSS (β = -0.026, p = .27; β = -0.037, p = .22), and psychological flexibility (β = -0.025, p = .18; β = 0.076, p = .35) did not buffer this association.

Conclusions: Findings do not support the hypotheses that COVID-19 stress augments somatic symptoms, particularly in CSS, or that psychological flexibility buffers this impact. Rather, COVID-19-related stress appears to have an uncertain impact on somatic symptoms.

Source: Koppert TY, Jacobs JWG, Lumley MA, Geenen R. The impact of COVID-19 stress on pain and fatigue in people with and without a central sensitivity syndrome. J Psychosom Res. 2021 Oct 29;151:110655. doi: 10.1016/j.jpsychores.2021.110655. Epub ahead of print. PMID: 34739944. https://pubmed.ncbi.nlm.nih.gov/34739944/

Sign for MECFS!

In Germany, there is virtually no medical care for ME/CFS patients and to date there is no government funding for biomedical scientific research into this devastating disease. With 50,000 signatories before the end of the deadline, we will even be granted a public hearing in the German Bundestag. This would be our best chance to finally draw attention to the issue of ME/CFS in German federal politics. Sign the petition! It will only take a few minutes and can be done online. Anyone can sign, worldwide! Read more here>>

Deficient butyrate-producing capacity in the gut microbiome of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome patients is associated with fatigue symptoms

Abstract:

Background Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex, debilitating disease of unknown cause for which there is no specific therapy. Patients suffering from ME/CFS commonly experience persistent fatigue, post-exertional malaise, cognitive dysfunction, sleep disturbances, orthostatic intolerance, fever and irritable bowel syndrome (IBS). Recent evidence implicates gut microbiome dysbiosis in ME/CFS. However, most prior studies are limited by small sample size, differences in clinical criteria used to define cases, limited geographic sampling, reliance on bacterial culture or 16S rRNA gene sequencing, or insufficient consideration of confounding factors that may influence microbiome composition. In the present study, we evaluated the fecal microbiome in the largest prospective, case-control study to date (n=106 cases, n=91 healthy controls), involving subjects from geographically diverse communities across the United States.

Results Using shotgun metagenomics and qPCR and rigorous statistical analyses that controlled for important covariates, we identified decreased relative abundance and quantity of Faecalibacterium, Roseburia, and Eubacterium species and increased bacterial load in feces of subjects with ME/CFS. These bacterial taxa play an important role in the production of butyrate, a multifunctional bacterial metabolite that promotes human health by regulating energy metabolism, inflammation, and intestinal barrier function. Functional metagenomic and qPCR analyses were consistent with a deficient microbial capacity to produce butyrate along the acetyl-CoA pathway in ME/CFS. Metabolomic analyses of short-chain fatty acids (SCFAs) confirmed that fecal butyrate concentration was significantly reduced in ME/CFS. Further, we found that the degree of deficiency in butyrate-producing bacteria correlated with fatigue symptom severity among ME/CFS subjects. Finally, we provide evidence that IBS comorbidity is an important covariate to consider in studies investigating the microbiome of ME/CFS subjects, as differences in microbiota alpha diversity, some bacterial taxa, and propionate were uniquely associated with self-reported IBS diagnosis.

Conclusions Our findings indicate that there is a core deficit in the butyrate-producing capacity of the gut microbiome in ME/CFS subjects compared to healthy controls. The relationships we observed among symptom severity and these gut microbiome disturbances may be suggestive of a pathomechanistic linkage, however, additional research is warranted to establish any causal relationship. These findings provide support for clinical trials that explore the utility of dietary, probiotic and prebiotic interventions to boost colonic butyrate production in ME/CFS.

Source: Cheng Guo, Xiaoyu Che, Thomas Briese, Orchid Allicock, Rachel A. Yates, Aaron Cheng, Amit Ranjan, Dana March, Mady Hornig, Anthony L. Komaroff, Susan Levine, Lucinda Bateman, Suzanne D. Vernon, Nancy G. Klimas, Jose G. Montoya, Daniel L. Peterson, W. Ian Lipkin, Brent L. Williams. Deficient butyrate-producing capacity in the gut microbiome of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome patients is associated with fatigue symptoms. medRxiv 2021.10.27.21265575; doi: https://doi.org/10.1101/2021.10.27.21265575 https://www.medrxiv.org/content/10.1101/2021.10.27.21265575v1?fbclid=IwAR16pb6by73xZx5lZM3j-5dOc_YT2JapILaRS-DcUZj5EHZxnoSa2fAAIuE (Full text available to download)

ME/CFS: Exercise goals should be set by patients and not driven by treatment plan, says NICE

Letter:

Rapid Response:

Patient reports of harm from GET cannot be ignored

Dear Editor

Professor Trudie Chalder from King’s College Hospital states that:

“The NICE guidelines for CFS/ME are at odds with the research evidence. Researchers from different institutions in different countries have found graded exercise therapy and cognitive behaviour therapy to be effective for some patients with CFS.

Evidence has shown they reduce fatigue and improve functioning without harm, if delivered by trained therapists in specialist clinics. Being a clinician and researcher in this field, I can’t help but think clinicians will be confused by this message from a respected organisation.”

Having carefully reviewed all the very extensive evidence on efficacy and safety for graded exercise therapy (GET) from relevant clinical trials, medical experts and from people with ME/CFS, the NICE guideline committee concluded that in addition to there being no sound evidence for efficacy for GET there was also consistent patient evidence of harm, sometimes serious and persisting, occurring.

Read the rest of this letter HERE. 

Source: Charles Shepherd. BMJ 2021; 375 doi: https://doi.org/10.1136/bmj.n2643 (Published 29 October 2021) BMJ 2021;375:n2643

Estimating total morbidity burden of COVID-19: relative importance of death and disability

Abstract:

Objective: Calculations of disease burden of COVID-19, used to allocate scarce resources, have historically considered only mortality. However, survivors often develop postinfectious ‘long-COVID’ similar to chronic fatigue syndrome; physical sequelae such as heart damage, or both. This paper quantifies relative contributions of acute case fatality, delayed case fatality, and disability to total morbidity per COVID-19 case.

Study design and setting: Healthy life years lost per COVID-19 case were computed as the sum of (incidence*disability weight*duration) for death and long-COVID by sex and 10-year age category in three plausible scenarios.

Results: In all models, acute mortality was only a small share of total morbidity. For lifelong moderate symptoms, healthy years lost per COVID-19 case ranged from 0.92 (male in his 30s) to 5.71 (girl under 10) and were 3.5 and 3.6 for the oldest females and males. At higher symptom severities, young people and females bore larger shares of morbidity; if survivors’ later mortality increased, morbidity increased most in young people of both sexes.

Conclusions: Under most conditions most COVID-19 morbidity was in survivors. Future research should investigate incidence, risk factors, and clinical course of long-COVID to elucidate total disease burden, and decisionmakers should allocate scarce resources to minimize total morbidity. WHAT IS NEW; KEY FINDINGS: : Under most plausible model scenarios, most COVID-19 morbidity (death + disability) is likely to be due to disability (‘long-COVID’) or delayed death due to organ damage, rather than immediate death. Only if long-COVID resolves (atypical of postinfectious syndromes) is morbidity higher in old than young WHAT THIS ADDS TO WHAT IS KNOWN: : While COVID-19 deaths are numerous, they likely cause less morbidity overall than does disability or organ damage in survivors. Morbidity is highest in females, especially those infected young.

What should change now: Scarce resources such as vaccines should be allocated to minimize morbidity rather than focusing solely on mortality. Data on long-COVID, especially its sex bias, should be collected and publicized.

Source: Smith MP. Estimating total morbidity burden of COVID-19: relative importance of death and disability. J Clin Epidemiol. 2021 Oct 26:S0895-4356(21)00339-5. doi: 10.1016/j.jclinepi.2021.10.018. Epub ahead of print. PMID: 34715312. https://pubmed.ncbi.nlm.nih.gov/34715312/

Multi-omics of host-microbiome interactions in short- and long-term Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)

Abstract:

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex, multi-system, debilitating disability manifesting as severe fatigue and post-exertional malaise. The chronic dysfunctions in ME/CFS are increasingly recognized as significant health factors with potential parallels with “long COVID”. However, the etiology of ME/CFS remains elusive with limited high-resolution human studies. In addition, reliable biomarker-based diagnostics have not been well-established, but may assist in disease classification, particularly during different temporal phases of the disease. Here, we performed deep multi-omics (shotgun metagenomics of gut microbiota and plasma metabolomics) and clinical phenotyping of healthy controls (n=79) vs. two cohorts of ME/CFS patients: those with short-term disease (<4 years, n=75), and patients with long-term disease (>10y, n=79).

Overall, ME/CFS was characterized by reduced gut microbiome diversity and richness with high heterogeneity, and depletion of sphingomyelins and short-chain fatty acids in the plasma. We found significant differences when stratifying by cohort; short-term ME/CFS was associated with more microbial dysbiosis, but long-term ME/CFS was associated with markedly more severe phenotypic and metabolic abnormalities. We identified a reduction in the gene-coding capacity (and relative abundance of butyrate producers) of microbial butyrate biosynthesis together with a reduction in the plasma concentration of butyrate, especially in the short-term group. Global co-association and detailed gene pathway correlation analyses linking the microbiome and metabolome identified additional potential biological mechanisms underlying host-microbiome interactions in ME/CFS, including bile acids and benzoate pathways.

Finally, we built multiple state-of-the-art classifiers to identify microbes, microbial gene pathways, metabolites, and clinical features that individually or together, were most able to differentiate short or long-term MECFS, or MECFS vs. healthy controls. Taken together, our study presents the highest resolution, multi-cohort and multi-omics analysis to date, providing an important resource to facilitate mechanistic hypotheses of host-microbiome interactions in ME/CFS.

Source: Ruoyun Xiong, Courtney Gunter, Elizabeth Fleming, Suzanne Vernon, Lucinda Bateman, Derya Unutmaz, Julia Oh. Multi-omics of host-microbiome interactions in short- and long-term Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). bioRxiv 2021.10.27.466150; doi: https://doi.org/10.1101/2021.10.27.466150 https://www.biorxiv.org/content/10.1101/2021.10.27.466150v1 (Full study available for download)

Clinical Heterogeneity in ME/CFS. A Way to Understand Long-COVID19 Fatigue

Abstract:

The aim of present paper is to identify clinical phenotypes in a cohort of patients affected of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. Ninety-one patients and 22 healthy controls were studied with the following questionnaires, in addition to medical history: visual analogical scale for fatigue and pain, DePaul questionnaire (post-exertional malaise, immune, neuroendocrine), Pittsburgh sleep quality index, COMPASS-31 (dysautonomia), Montreal cognitive assessment, Toulouse-Piéron test (attention), Hospital Anxiety and Depression test and Karnofsky scale. Co-morbidities and drugs-intake were also recorded.

A hierarchical clustering with clinical results was performed. Final study group was made up of 84 patients, mean age 44.41 ± 9.37 years (66 female/18 male) and 22 controls, mean age 45 ± 13.15 years (14 female/8 male). Patients meet diagnostic criteria of Fukuda-1994 and Carruthers-2011. Clustering analysis identify five phenotypes.

Two groups without fibromyalgia were differentiated by various levels of anxiety and depression (13 and 20 patients). The other three groups present fibromyalgia plus a patient without it, but with high scores in pain scale, they were segregated by prevalence of dysautonomia (17), neuroendocrine (15), and immunological affectation (19). Regarding gender, women showed higher scores than men in cognition, pain level and depressive syndrome.

Mathematical tools are a suitable approach to objectify some elusive features in order to understand the syndrome. Clustering unveils phenotypes combining fibromyalgia with varying degrees of dysautonomia, neuroendocrine or immune features and absence of fibromyalgia with high or low levels of anxiety-depression. There is no a specific phenotype for women or men.

Source: Murga I, Aranburu L, Gargiulo PA, Gómez Esteban JC, Lafuente JV. Clinical Heterogeneity in ME/CFS. A Way to Understand Long-COVID19 Fatigue. Front Psychiatry. 2021 Oct 11;12:735784. doi: 10.3389/fpsyt.2021.735784. PMID: 34707521; PMCID: PMC8542754.  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542754/  (Full text)

Intersections between pneumonia, lowered oxygen saturation percentage and immune activation mediate depression, anxiety, and chronic fatigue syndrome-like symptoms due to COVID-19: a nomothetic network approach

Abstract:

Background: COVID-19 is associated with neuropsychiatric symptoms including increased depressive, anxiety and chronic fatigue-syndrome (CFS)-like and physiosomatic symptoms.

Aims: To delineate the associations between affective and CFS-like symptoms in COVID-19 and chest computed tomography scan anomalies (CCTAs), oxygen saturation (SpO2), interleukin (IL)-6, IL-10, C-Reactive Protein (CRP), albumin, calcium, magnesium, soluble angiotensin converting enzyme (ACE2) and soluble advanced glycation products (sRAGEs).

Method: The above biomarkers were assessed in 60 COVID-19 patients and 30 heathy controls who had measurements of the Hamilton Depression (HDRS) and Anxiety (HAM-A) and the Fibromyalgia and Chronic Fatigue (FF) Rating Scales.

Results: Partial Least Squares-SEM analysis showed that reliable latent vectors could be extracted from a) key depressive and anxiety and physiosomatic symptoms (the physio-affective or PA-core), b) IL-6, IL-10, CRP, albumin, calcium, and sRAGEs (the immune response core); and c) different CCTAs (including ground glass opacities, consolidation, and crazy paving) and lowered SpO2% (lung lesions). PLS showed that 70.0% of the variance in the PA-core was explained by the regression on the immune response and lung lesions latent vectors. One common “infection-immune-inflammatory (III) core” underpins pneumonia-associated CCTAs, lowered SpO2 and immune activation, and this III core explains 70% of the variance in the PA core, and a relevant part of the variance in melancholia, insomnia, and neurocognitive symptoms.

Discussion: Acute SARS-CoV-2 infection is accompanied by lung lesions and lowered SpO2 which may cause activated immune-inflammatory pathways, which mediate the effects of the former on the PA-core and other neuropsychiatric symptoms due to SARS-CoV-2 infection. Al-Jassas HK, Al-Hakeim HK, Maes M. Intersections between pneumonia, lowered oxygen saturation percentage and immune activation mediate depression, anxiety, and chronic fatigue syndrome-like symptoms due to COVID-19: a nomothetic network approach. J Affect Disord. 2021 Oct 23:S0165-0327(21)01123-X. doi: 10.1016/j.jad.2021.10.039. Epub ahead of print. PMID: 34699853.  https://pubmed.ncbi.nlm.nih.gov/34699853/

Source:

Idiopathic combined adrenocorticotropin and growth hormone deficiency mimicking chronic fatigue syndrome

Abstract:

A 42-year-old man who had suffered from severe fatigue for 5 years was diagnosed as having chronic fatigue syndrome (CFS) and fibromyalgia. Endocrinological workup using combined anterior pituitary function tests showed that the patient had adrenocorticotropin hormone (ACTH) deficiency, with a normal pituitary MRI. Treatment with a physiologic dose of oral hydrocortisone replacement physically ameliorated his general fatigue. A secondary workup using a growth hormone-releasing peptide-2 test revealed that he also had growth hormone (GH) deficiency, and GH replacement therapy was started. His muscle pain and depression were improved by the therapy. Here, we present a rare case of combined deficiency of ACTH and GH in a middle-aged man with severe general fatigue. This case report aims to raise awareness of combined deficiency of ACTH and GH as a differential diagnosis of CFS and its mimics.

Source: Tokumasu K, Ochi K, Otsuka F. Idiopathic combined adrenocorticotropin and growth hormone deficiency mimicking chronic fatigue syndrome. BMJ Case Rep. 2021 Oct 22;14(10):e244861. doi: 10.1136/bcr-2021-244861. PMID: 34686480. https://pubmed.ncbi.nlm.nih.gov/34686480/

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): An Overview

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic systemic disease that manifests via various symptoms such as chronic fatigue, post-exertional malaise, and cognitive impairment described as “brain fog”. These symptoms often prevent patients from keeping up their pre-disease onset lifestyle, as extended periods of physical or mental activity become almost impossible. However, the disease presents heterogeneously with varying severity across patients. Therefore, consensus criteria have been designed to provide a diagnosis based on symptoms. To date, no biomarker-based tests or diagnoses are available, since the molecular changes observed also largely differ from patient to patient.

In this review, we discuss the infectious, genetic, and hormonal components that may be involved in CFS pathogenesis, we scrutinize the role of gut microbiota in disease progression, we highlight the potential of non-coding RNA (ncRNA) for the development of diagnostic tools and briefly mention the possibility of SARS-CoV-2 infection causing CFS.

Source: Deumer US, Varesi A, Floris V, Savioli G, Mantovani E, López-Carrasco P, Rosati GM, Prasad S, Ricevuti G. Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): An Overview. J Clin Med. 2021 Oct 19;10(20):4786. doi: 10.3390/jcm10204786. PMID: 34682909; PMCID: PMC8538807. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538807/ (Full text)