Tag: long covid vs ME/CFS

Case-Control Study of Individuals With Small Fiber Neuropathy After COVID-19

Abstract:

Objectives: To report a case-control study of new-onset small fiber neuropathy (SFN) after COVID-19 with invasive cardiopulmonary exercise testing (iCPET). SFN is a critical objective finding in long COVID and amenable to treatment.

Methods: A retrospective chart review was conducted on patients seen in the NeuroCOVID Clinic at Yale who developed new-onset SFN after a documented COVID-19 illness. We collected demographics, symptoms, skin biopsy, iCPET testing, treatments, and clinical response to treatment or no intervention.

Results: Sixteen patients were diagnosed with SFN on skin biopsy (median age 47, 75% female, 75% White). 92% of patients reported postexertional malaise characteristic of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and 7 patients underwent iCPET, which demonstrated neurovascular dysregulation and dysautonomia consistent with ME/CFS. Nine patients underwent treatment with IVIG, and 7 were not treated with IVIG. The IVIG group experienced significant clinical response in their neuropathic symptoms (9/9) compared with those who did not receive IVIG (3/7; p = 0.02).

Discussion: Here, we present preliminary evidence that after COVID-19, SFN is responsive to treatment with IVIG and linked with neurovascular dysregulation and dysautonomia on iCPET. A larger clinical trial is indicated to further demonstrate the clinical utility of IVIG in treating postinfectious SFN.

Classification of evidence: This study provides Class III evidence. It is a retrospective cohort study.

Source: McAlpine L, Zubair AS, Joseph P, Spudich S. Case-Control Study of Individuals With Small Fiber Neuropathy After COVID-19. Neurol Neuroimmunol Neuroinflamm. 2024 May;11(3):e200244. doi: 10.1212/NXI.0000000000200244. Epub 2024 Apr 17. PMID: 38630952. https://www.neurology.org/doi/10.1212/NXI.0000000000200244 (Full text)

Cluster analysis of long COVID symptoms for deciphering a syndrome and its long-term consequence

Abstract:

The long-term symptoms of COVID-19 are the subject of public and scientific discussions. Understanding how those long COVID symptoms co-occur in clusters of syndromes may indicate the pathogenic mechanisms of long COVID. Our study objective was to cluster the different long COVID symptoms. We included persons who had a COVID-19 and assessed long-term symptoms (at least 4 weeks after first symptoms). Hierarchical clustering was applied to the symptoms as well as to the participants based on the Euclidean distance h of the log-values of the answers on symptom severity. The distribution of clusters within our cohort is shown in a heat map.

From September 2021 to November 2023, 2371 persons with persisting long COVID symptoms participated in the study. Self-assessed long COVID symptoms were assigned to three symptom clusters. Cluster A unites rheumatological and neurological symptoms, cluster B includes neuro-psychological symptoms together with cardiorespiratory symptoms, and a third cluster C shows an association of general infection signs, dermatological and otology symptoms. A high proportion of the participants (n = 1424) showed symptoms of all three clusters.

Clustering of long COVID symptoms reveals similarities to the symptomatology of already described syndromes such as the Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) or rheumatological autoinflammatory diseases. Further research may identify serological parameters or clinical risk factors associated with the shown clusters and might improve our understanding of long COVID as a systemic disease. Furthermore, multimodal treatments can be developed and scaled for symptom clusters and associated impairments.

Source: Niewolik J, Mikuteit M, Klawitter S, Schröder D, Stölting A, Vahldiek K, Heinemann S, Müller F, Behrens G, Klawonn F, Dopfer-Jablonka A, Steffens S. Cluster analysis of long COVID symptoms for deciphering a syndrome and its long-term consequence. Immunol Res. 2024 Apr 16. doi: 10.1007/s12026-024-09465-w. Epub ahead of print. PMID: 38627327. https://link.springer.com/article/10.1007/s12026-024-09465-w (Full text)

Imbalanced Brain Neurochemicals in long COVID and ME/CFS: A Preliminary Study using MRI

Abstract:

Purpose: Long COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) patients experience multiple complex symptoms, potentially linked to imbalances in brain neurochemicals. This study aims to measure brain neurochemical levels in long COVID and ME/CFS patients as well as healthy controls to investigate associations with severity measures.

Methods: Magnetic resonance spectroscopy (MRS) data was acquired with a 3T Prisma MRI scanner. We measured absolute levels of brain neurochemicals in the posterior cingulate cortex in long COVID (n=17), ME/CFS (n=17), and healthy controls (n=10) using Osprey software. The statistical analyses were performed using SPSS version 29. Age and sex were included as nuisance covariates.

Results: Glutamate levels were significantly higher in long COVID (p=0.02) and ME/CFS (p=0.017) than in healthy controls. No significant difference was found between the two patient cohorts. Additionally, N-acetyl-aspartate levels were significantly higher in long COVID patients (p=0.012). Importantly, brain neurochemical levels were associated with self-reported severity measures in long COVID and ME/CFS.

Conclusion: Our study identified significantly elevated Glutamate and N-acetyl-aspartate levels in long COVID and ME/CFS patients compared with healthy controls. No significant differences in brain neurochemicals were observed between the two patient cohorts, suggesting a potential overlap in their underlying pathology. These findings suggest that imbalanced neurochemicals contribute to the complex symptoms experienced by long COVID and ME/CFS patients.

Source: Thapaliya K, Marshall-Gradisnik S, Eaton-Fitch N, Eftekhari Z, Inderyas M, Barnden L. Imbalanced Brain Neurochemicals in long COVID and ME/CFS: A Preliminary Study using MRI. Am J Med. 2024 Apr 6:S0002-9343(24)00216-X. doi: 10.1016/j.amjmed.2024.04.007. Epub ahead of print. PMID: 38588934. https://www.sciencedirect.com/science/article/pii/S000293432400216X (Full text)

Impaired Hand Grip Strength Correlates with Greater Disability and Symptom Severity in Post-COVID Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Abstract:

Post-COVID syndrome (PCS) encompasses a diverse array of symptoms persisting beyond 3 months after acute SARS-CoV-2 infection, with mental as well as physical fatigue being the most frequent manifestations.
Methods: In 144 female patients with PCS, hand grip strength (HGS) parameters were assessed as an objective measure of muscle fatigue, with 78 meeting the Canadian Consensus Criteria for postinfectious myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The severity of disability and key symptoms was evaluated using self-reported questionnaires.
Results: Patients with ME/CFS exhibited heightened overall symptom severity, including lower physical function (p < 0.001), a greater degree of disability (p < 0.001), more severe fatigue (p < 0.001), postexertional malaise (p < 0.001), and autonomic dysfunction (p = 0.004) compared to other patients with PCS. While HGS was impaired similarly in all patients with PCS and exhibited a significant correlation with physical function across the entire patient group, HGS of patients with ME/CFS uniquely demonstrated associations with key symptoms.
Conclusions: Thus, impaired HGS serves as an objective marker of physical function in patients with PCS. Only in patients meeting ME/CFS criteria is impaired HGS also associated with the severity of hallmark symptoms. This suggests a common mechanism for muscle fatigue and other symptoms in the ME/CFS subtype, distinct from that in other types of PCS.
Source: Paffrath A, Kim L, Kedor C, Stein E, Rust R, Freitag H, Hoppmann U, Hanitsch LG, Bellmann-Strobl J, Wittke K, et al. Impaired Hand Grip Strength Correlates with Greater Disability and Symptom Severity in Post-COVID Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. Journal of Clinical Medicine. 2024; 13(7):2153. https://doi.org/10.3390/jcm13072153 https://www.mdpi.com/2077-0383/13/7/2153

Machine learning algorithms for detection of visuomotor neural control differences in individuals with PASC and ME

Abstract:

The COVID-19 pandemic has affected millions worldwide, giving rise to long-term symptoms known as post-acute sequelae of SARS-CoV-2 (PASC) infection, colloquially referred to as long COVID. With an increasing number of people experiencing these symptoms, early intervention is crucial. In this study, we introduce a novel method to detect the likelihood of PASC or Myalgic Encephalomyelitis (ME) using a wearable four-channel headband that collects Electroencephalogram (EEG) data. The raw EEG signals are processed using Continuous Wavelet Transform (CWT) to form a spectrogram-like matrix, which serves as input for various machine learning and deep learning models. We employ models such as CONVLSTM (Convolutional Long Short-Term Memory), CNN-LSTM, and Bi-LSTM (Bidirectional Long short-term memory). Additionally, we test the dataset on traditional machine learning models for comparative analysis.

Our results show that the best-performing model, CNN-LSTM, achieved an accuracy of 83%. In addition to the original spectrogram data, we generated synthetic spectrograms using Wasserstein Generative Adversarial Networks (WGANs) to augment our dataset. These synthetic spectrograms contributed to the training phase, addressing challenges such as limited data volume and patient privacy. Impressively, the model trained on synthetic data achieved an average accuracy of 93%, significantly outperforming the original model.

These results demonstrate the feasibility and effectiveness of our proposed method in detecting the effects of PASC and ME, paving the way for early identification and management of the condition. The proposed approach holds significant potential for various practical applications, particularly in the clinical domain. It can be utilized for evaluating the current condition of individuals with PASC or ME, and monitoring the recovery process of those with PASC, or the efficacy of any interventions in the PASC and ME populations. By implementing this technique, healthcare professionals can facilitate more effective management of chronic PASC or ME effects, ensuring timely intervention and improving the quality of life for those experiencing these conditions.

Source: Harit Ahuja, Smriti Badhwar, Heather Edgell, Lauren E. Sergio, Marin Litoiu. Machine learning algorithms for detection of visuomotor neural control differences in individuals with PASC and ME. Front. Hum. Neurosci. Sec. Brain-Computer Interfaces, Volume 18 – 2024 | doi: 10.3389/fnhum.2024.1359162 https://www.frontiersin.org/articles/10.3389/fnhum.2024.1359162/full (Full text)

Attenuating Post-exertional Malaise in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long-COVID: Is Blood Lactate Monitoring the Answer?

Highlights:

  • Lactate monitoring has the potential to extend beyond applied sports settings and could be used to monitor the physiologic and pathophysiological responses to external and internal stimuli in chronic disease areas such as Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Post-Covid syndrome or Long Covid.
  • It is applicable due to the recurrent, episodic and often disabling post-exertional symptom exacerbation (PESE) otherwise referred to as post-exertional malaise (PEM) which is a characteristic symptom of ME/CFS and Long Covid that can last for days and/or weeks.
  • Lactate monitoring presents an opportunity to support those living with ME/CFS and Long COVID, by allowing patients and practitioners to determine the intensity and anaerobic contribution to everyday tasks which could aid the development of pacing strategies that prevent PEM/PESE.

Source: Faghy PMA, Ashton DRE, McNeils MR, Arena R, Duncan DR. Attenuating Post-exertional Malaise in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long-COVID: Is Blood Lactate Monitoring the Answer? Curr Probl Cardiol. 2024 Mar 30:102554. doi: 10.1016/j.cpcardiol.2024.102554. Epub ahead of print. PMID: 38561114. https://www.sciencedirect.com/science/article/abs/pii/S0146280624001932

Health outcomes for Long COVID are comparable with ME/CFS

Press Release: Griffith News

People with Long COVID in Australia have poor health outcomes that are comparable with another emerging disease known as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), new Griffith University research has discovered.

PhD student Breanna Weigel from Griffith’s National Centre for Neuroimmunology and Emerging Diseases (NCNED) will be presenting the findings in Singapore this month at the International Public Health Conference.

Ms Weigel said the study found people with Long COVID have the same health outcomes as ME/CFS over a 12-month period.

“Quality of life and disability scores were significantly poorer for both Long COVID and ME/CFS when compared with healthy people,” she said.

“However, there were no differences between ME/CFS and Long COVID groups which indicates considerable reductions in functional capacity and health and well-being among people living with these illnesses.”

The research found only a few differences in more than 25 different symptoms between Long COVID and ME/CFS participants.

Importantly, both ME/CFS and Long COVID groups had comparable prevalence with the severity of their illness.

Both groups over time had the same symptom presentation of significantly impaired cognition, mobility, bodily pain, and post-exertional malaise (PEM) which means symptoms get worse after physical or mental activity.

PEM is very disabling and causes changes in symptoms and a further reduction in ability to do everyday activities.

Director of the NCNED, Professor Sonya Marshall-Gradisnik, said: “This research highlighted the continued impact of Long COVID on peoples’ lives, which is especially poignant as today we recognise International Long COVID Awareness Day.”

“The research forms one of many Long COVID investigations and clinical trials being undertaken at the national centre where it is hoped these findings will provide pathways for those with Long COVID.

“We are uniquely positioned nationally as we are the only centre to undertake scientific laboratory and MRI research in Long COVID and ME/CFS in tandem, and monitor the health and economic impact of the patients.

“At the national centre we also undertake clinical trials and contribute to best practice guidelines such as the recently published guidelines in the British Medical Journal for ME.”

Dr Natalie Eaton-Fitch, who was an undergraduate student at Griffith University and is now an emerging researcher at the NCNED said: “Researchers are very fortunate to have wonderful opportunities at all stages of their careers and to know research can make a real-world difference for people.”

Ms Weigel’s work builds upon the Issues Brief she did in collaboration with the Deeble Institute that reported how patient experiences can guide the development of Long COVID health policy.

 

Unravelling shared mechanisms: insights from recent ME/CFS research to illuminate long COVID pathologies

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic illness often triggered by an initiating acute event, mainly viral infections. The transition from acute to chronic disease remains unknown, but interest in this phenomenon has escalated since the COVID-19 pandemic and the post-COVID-19 illness, termed ‘long COVID’ (LC). Both ME/CFS and LC share many clinical similarities.

Here, we present recent findings in ME/CFS research focussing on proposed disease pathologies shared with LC. Understanding these disease pathologies and how they influence each other is key to developing effective therapeutics and diagnostic tests. Given that ME/CFS typically has a longer disease duration compared with LC, with symptoms and pathologies evolving over time, ME/CFS may provide insights into the future progression of LC.

Source: Annesley SJ, Missailidis D, Heng B, Josev EK, Armstrong CW. Unravelling shared mechanisms: insights from recent ME/CFS research to illuminate long COVID pathologies. Trends Mol Med. 2024 Mar 4:S1471-4914(24)00028-5. doi: 10.1016/j.molmed.2024.02.003. Epub ahead of print. PMID: 38443223. https://www.sciencedirect.com/science/article/pii/S1471491424000285 (Full text)

People with Long Covid and ME/CFS Exhibit Similarly Impaired Dexterity and Bimanual Coordination: A Case-Case-Control Study

Abstract:

Purpose: Dexterity and bimanual coordination had not previously been compared between people with long COVID and people with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). Therefore, this study determined dexterity and bimanual coordination in people with long COVID (∼16 month illness duration; n=21) and ME/CFS (∼16 year illness duration; n=20), versus age-matched healthy controls (n=20).

Methods: Dexterity, and bimanual coordination was determined using the Purdue pegboard test.

Results: The main findings of the present investigation were that people with ME/CFS and people with long COVID were generally comparable for Purdue pegboard tests (p>0.556 and d<0.36 for pairwise comparisons). It is worth noting however, that both these patient groups performed poorer in the Perdue pegboard test than healthy controls (p<0.169 and d>0.40 for pairwise comparisons).

Conclusions: These data suggest that both people with long COVID and people with ME/CFS have similarly impaired dexterity, and bimanual coordination. Therefore, there is an urgent need for interventions to target dexterity and bimanual coordination in people with ME/CFS, and given the current pandemic, people with long COVID.

Source: Sanal-Hayes NEM, Hayes LD, Mclaughlin M, Berry ECJ, Sculthorpe NF. People with Long Covid and ME/CFS Exhibit Similarly Impaired Dexterity and Bimanual Coordination: A Case-Case-Control Study. Am J Med. 2024 Feb 23:S0002-9343(24)00091-3. doi: 10.1016/j.amjmed.2024.02.003. Epub ahead of print. PMID: 38403179. https://www.amjmed.com/article/S0002-9343(24)00091-3/fulltext (Full text)

A pilot study on the immune cell proteome of long COVID patients shows changes to physiological pathways similar to those in myalgic encephalomyelitis/chronic fatigue syndrome

Abstract:

Of those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), ~ 10% develop the chronic post-viral debilitating condition, long COVID (LC). Although LC is a heterogeneous condition, about half of cases have typical post-viral fatigue with onset and symptoms that are very similar to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). A key question is whether these conditions are closely related. ME/CFS is a post-stressor fatigue condition that arises from multiple triggers.

To investigate the pathophysiology of LC, a pilot study of patients (n = 6) and healthy controls (n = 5) has used quantitative proteomics to discover changes in peripheral blood mononuclear cell (PBMC) proteins. A principal component analysis separated all long COVID patients from healthy controls. Analysis of 3131 proteins identified 162 proteins differentially regulated, of which 37 were related to immune functions, and 21 to mitochondrial functions.

Markov cluster analysis identified clusters involved in immune system processes, and two aspects of gene expression-spliceosome and transcription. These results were compared with an earlier dataset of 346 differentially regulated proteins in PBMC’s from ME/CFS patients (n = 9) analysed by the same methodology. There were overlapping protein clusters and enriched molecular pathways particularly in immune functions, suggesting the two conditions have similar immune pathophysiology as a prominent feature, and mitochondrial functions involved in energy production were affected in both conditions.

Source: Peppercorn, K., Edgar, C.D., Kleffmann, T. et al. A pilot study on the immune cell proteome of long COVID patients shows changes to physiological pathways similar to those in myalgic encephalomyelitis/chronic fatigue syndrome. Sci Rep 13, 22068 (2023). https://doi.org/10.1038/s41598-023-49402-9 https://www.nature.com/articles/s41598-023-49402-9 (Full text)