Category: Overlapping Illnesses

Autoantibody targeting therapies in post COVID syndrome and myalgic encephalomyelitis/chronic fatigue syndrome

Introduction:

Following the shift of SARS-CoV-2 from pandemic to endemic, post COVID syndrome (PCS) joins the list of already known post-acute infection syndromes (PAIS) and its most severe manifestation, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The exact pathomechanism of PCS has not yet been fully understood. Immune dysregulation with persistent inflammation, microvascular injury with endothelial dysfunction, autonomic nervous system dysfunction, mitochondrial dysfunction, gut microbiome dysbiosis and persistence of SARS-CoV-2 virus or SARS-CoV-2 viral particles have been proposed [1].

Autoimmunity could be a linking element across various mechanisms and there is indeed mounting evidence that autoantibodies (AAbs) in particular play a role in a subset of PCS and ME/CFS. In ME/CFS there are now numerous studies showing elevated levels and altered functions of G-protein coupled receptor autoantibodies (GPCR AAbs) and their correlation with severity of key symptoms [2]. First trials with AAb-targeting therapies show promising though mixed results. These include studies directly targeting AAbs by removal with immunoadsorption or their enhanced degradation with efgartigimod or neutralization with BC007 (rovunaptabin). Further B cell depletion with rituximab or plasma cell depletion with daratumumab has yielded some positive but inconsistent results.

Source: Wohlrab F, Eltity M, Ufer F, Paul F, Scheibenbogen C, Bellmann-Strobl J. Autoantibody targeting therapies in post COVID syndrome and myalgic encephalomyelitis/chronic fatigue syndrome. Expert Opin Biol Ther. 2025 Apr 10. doi: 10.1080/14712598.2025.2492774. Epub ahead of print. PMID: 40211686. https://www.tandfonline.com/doi/full/10.1080/14712598.2025.2492774#d1e211 (Full text)

Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort

Abstract:

Background: Shared symptoms and biological abnormalities between post-acute sequelae of SARS-CoV-2 infection (PASC) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) could suggest common pathophysiological bases and would support coordinated treatment efforts. Empirical studies comparing these syndromes are needed to better understand their commonalities and differences.

Methods: We analyzed electronic health record data from 6.5 million adult patients from the National COVID Cohort Collaborative. PASC and ME/CFS diagnostic groups were defined based on recorded diagnoses, and other recorded conditions within the two groups were used to train separate machine learning-driven computable phenotypes (CPs). The most predictive conditions for each CP were examined and compared, and the overlap of patients labeled by each CP was examined. Condition records from the diagnostic groups were also used to statistically derive condition clusters. Rates of subphenotypes based on these clusters were compared between PASC and ME/CFS groups.

Results: Approximately half of patients labeled by one CP are also labeled by the other. Dyspnea, fatigue, and cognitive impairment are the most-predictive conditions shared by both CPs, whereas other most-predictive conditions are specific to one CP. Recorded conditions separate into cardiopulmonary, neurological, and comorbidity clusters, with the cardiopulmonary cluster showing partial specificity for the PASC groups.

Conclusions: Data-driven approaches indicate substantial overlap in the condition records associated with PASC and ME/CFS diagnoses. Nevertheless, cardiopulmonary conditions are somewhat more commonly associated with PASC diagnosis, whereas other conditions, such as pain and sleep disturbances, are more associated with ME/CFS diagnosis. These findings suggest that symptom management approaches to these illnesses could overlap.

Source: Powers JP, McIntee TJ, Bhatia A, Madlock-Brown CR, Seltzer J, Sekar A, Jain N, Hornig M, Seibert E, Leese PJ, Haendel M, Moffitt R, Pfaff ER; N3C Consortium and RECOVER-EHR. Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort. Commun Med (Lond). 2025 Apr 11;5(1):109. doi: 10.1038/s43856-025-00827-5. PMID: 40210986. https://www.nature.com/articles/s43856-025-00827-5 (Full text)

‘A gift and a curse’: the benefits and limitations of self-tracking Long COVID

Abstract:

People living with Long COVID are dealing with significant challenges related to limited understanding of this novel condition, social stigma, and lack of support from medical professionals and others in their lives. This article discusses findings from a qualitative study about how people with Long COVID have spontaneously engaged in self-tracking for the purposes of understanding and managing their illness. It draws on 30 semi-structured interviews with study participants in the USA, UK, Australia, Germany, Denmark and Canada.

The study’s findings reveal that the personal health data generated by people with Long COVID through practices of self-tracking create new forms of knowledge about a novel post-viral condition and to some extent challenge the power differentials and fraught sociopolitical climate of the pandemic. The benefits provided by self-tracking data reflect the often psychologised and understudied position of post-viral conditions such as Long COVID.

All participants described self-tracking as a valuable tool to gain insight into symptoms and evaluate interventions. It provided them with a sense of empowerment, control, encouragement, and very importantly, validation. However, for some participants, self-tracking their Long COVID symptoms was also sometimes experienced as overwhelming, anxiety-inducing, and frustrating. The study findings are interpreted with references to the broader contexts of novel chronic illness, medical power, lay expertise, COVID politics and digitised information and care work.

Source: Jayadeva, S., & Lupton, D. (2025). ‘A gift and a curse’: the benefits and limitations of self-tracking Long COVID. Information, Communication & Society, 1–17. https://doi.org/10.1080/1369118X.2025.2483834 https://www.tandfonline.com/doi/full/10.1080/1369118X.2025.2483834 (Full text)

Wearable Devices Enable Long COVID Patients to Decrease Symptom Severity: A Case Series From Pilot User Testing

Abstract:

Purpose: Long COVID is a debilitating condition that is estimated to affect over 65M individuals across the world after a Coronavirus Disease 2019 (COVID-19) infection and has no broadly effective treatments. People with Long COVID have reported that pacing helps manage their symptoms, but it is difficult to implement. Based on experiences in the Long COVID community, we hypothesized that wearable devices can help individuals pace and reduce their Long COVID symptom severity.

Methods: To inform the design of a larger study, we performed user testing by distributing Garmin® devices, the study surveys and pacing educational materials to 11 individuals with Long COVID, and conducting interviews to learn about their experience.

Results: Eight of the 9 (89%) individuals reported that the information provided was helpful for their symptom management, and 2 testers did not complete the final survey. Four (44%) users had not used a wearable device before and none had trouble setting up their device. Due to the limited sample size and lack of control group, generalizability is unknown.

Conclusions: The most user testers reported that the study materials were helpful for their symptom management. These results are a promising indication of the potential for wearable devices and educational materials to help individuals with Long COVID, and potentially other chronic conditions such as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), decrease symptom severity.

Source: Goosen A, Foster-Bonds R, Vogel JM. Wearable Devices Enable Long COVID Patients to Decrease Symptom Severity: A Case Series From Pilot User Testing. Cardiopulm Phys Ther J. 2024 Dec 3;36(2):99-104. doi: 10.1097/CPT.0000000000000268. PMID: 40190996; PMCID: PMC11970588. https://pmc.ncbi.nlm.nih.gov/articles/PMC11970588/ (Full text)

Understanding symptom clusters, diagnosis and healthcare experiences in myalgic encephalomyelitis/chronic fatigue syndrome and long COVID: a cross-sectional survey in the UK

Abstract:

Objectives: This study aims to provide an in-depth analysis of the symptoms, coexisting conditions and service utilisation among people with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID. The major research questions include the clustering of symptoms, the relationship between key factors and diagnosis time, and the perceived impact of National Institute for Health and Care Excellence (NICE) guidelines on patient care.

Design: Cross-sectional survey using secondary data analysis.

Setting: Community-based primary care level across the UK, incorporating online survey participation.

Participants: A total of 10 458 individuals responded to the survey, of which 8804 confirmed that they or a close friend/family member had ME/CFS or long COVID. The majority of respondents were female (83.4%), with participants from diverse regions of the UK.

Primary and secondary outcome measures: Primary outcomes included prevalence and clustering of symptoms, time to diagnosis, and participant satisfaction with National Health Service (NHS) care, while secondary outcomes focused on symptom management strategies and the perceived effect of NICE guidelines.

Results: Fatigue (88.2%), postexertional malaise (78.2%), cognitive dysfunction (88.4%), pain (87.6%) and sleep disturbances (88.2%) were the most commonly reported symptoms among participants with ME/CFS, with similar patterns observed in long COVID. Time to diagnosis for ME/CFS ranged widely, with 22.1% diagnosed within 1-2 years of symptom onset and 12.9% taking more than 10 years. Despite updated NICE guidelines, only 10.1% of participants reported a positive impact on care, and satisfaction with NHS services remained low (6.9% for ME/CFS and 14.4% for long COVID).

Conclusions: ME/CFS and long COVID share overlapping but distinct symptom clusters, indicating common challenges in management. The findings highlight significant delays in diagnosis and low satisfaction with specialist services, suggesting a need for improved self-management resources and better-coordinated care across the NHS.

Source: Mansoubi M, Richards T, Ainsworth-Wells M, Fleming R, Leveridge P, Shepherd C, Dawes H. Understanding symptom clusters, diagnosis and healthcare experiences in myalgic encephalomyelitis/chronic fatigue syndrome and long COVID: a cross-sectional survey in the UK. BMJ Open. 2025 Apr 2;15(4):e094658. doi: 10.1136/bmjopen-2024-094658. PMID: 40180399. https://bmjopen.bmj.com/content/15/4/e094658 (Full text)

Beyond acute infection: mechanisms underlying post-acute sequelae of COVID-19 (PASC)

Summary:

  • Immune dysregulation is a key aspect of post-acute sequelae of coronavirus disease 2019 (PASC), also known as long COVID, with sustained activation of immune cells, T cell exhaustion, skewed B cell profiles, and disrupted immune communication thereby resulting in autoimmune-related complications.
  • The gut is emerging as a critical link between microbiota, metabolism and overall dysfunction, potentially sharing similarities with other chronic fatigue conditions and PASC.
  • Immunothrombosis and neurological signalling dysfunction emphasise the complex interplay between the immune system, blood clotting, and the central nervous system in the context of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.
  • Clear research gaps in the design of PASC studies, especially in the context of longitudinal research, stand out as significant areas of concern.

Source: Adhikari, A., Maddumage, J., Eriksson, E.M., Annesley, S.J., Lawson, V.A., Bryant, V.L. and Gras, S. (2024), Beyond acute infection: mechanisms underlying post-acute sequelae of COVID-19 (PASC). Med J Aust, 221: S40-S48. https://doi.org/10.5694/mja2.52456 https://onlinelibrary.wiley.com/doi/full/10.5694/mja2.52456 (Full text)

The metabolic and physiologic impairments underlying long COVID associated exercise intolerance

Abstract:

Data from invasive CPET (iCPET) revealed long COVID patients have impaired systemic oxygen extraction (EO2), suggesting impaired mitochondrial ATP production. However, it remains uncertain whether the initial severity of SARS-CoV-2 infection has implications on EO2 and exercise capacity (VO2) nor has there been assessment of anerobic ATP generation in long COVID patients. iCPET was performed on 47 long COVID patients (i.e., full cohort; n = 8 with severe SARS-CoV-2 infection). ‘

In a subset of patients (i.e., metabolomic cohort; n = 26) metabolomics on venous and arterial blood samples during iCPET was performed. In the full cohort, long COVID patients exhibited reduced peak EO2 with reduced peak VO2 (90 ± 17% predicted) relative to cardiac output (118 ± 23% predicted). Peak VO2 [88% predicted (IQR 81% – 108%) vs. 70% predicted (IQR 64% – 89%); p = 0.02] and EO2 [0.59(IQR 0.53-0.62) vs. 0.53(IQR 0.50-0.48); p = 0.01) were lower in severe versus mild infection.

In the metabolomic cohort, 12 metabolites were significantly consumed, and 41 metabolites were significantly released (p-values < 0.05). Quantitative metabolomics demonstrated significant increases in inosine and succinate arteriovenous gradients during exercise. Peak VO2 was significantly correlated with peak venous succinate (r = 0.68; p = 0.0008) and peak venous lactate (r = 0.49; p = 0.0004). Peak EO2 and consequently peak VO2 impact long COVID patients in a severity dependent manner.

Exercise intolerance associated with long COVID is defined by impaired aerobic and anaerobic energy production. Peak venous succinate may serve as a potential biomarker in long COVID.

Source: Leitner BP, Joseph P, Quast AF, Ramirez MA, Heerdt PM, Villalobos JG, Singh I. The metabolic and physiologic impairments underlying long COVID associated exercise intolerance. Pulm Circ. 2024 Nov 13;14(4):e70009. doi: 10.1002/pul2.70009. PMID: 39544193; PMCID: PMC11560803. https://pmc.ncbi.nlm.nih.gov/articles/PMC11560803/ (Full text)

Dysregulation of lipid metabolism, energy production, and oxidative stress in myalgic encephalomyelitis/chronic fatigue syndrome, Gulf War Syndrome and fibromyalgia

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), Gulf War Syndrome (GWS), and Fibromyalgia (FM) are complex, chronic illnesses with overlapping clinical features. Symptoms that are reported across these conditions include post-exertional malaise (PEM), fatigue, and pain, yet the etiology of these illnesses remains largely unknown. Diagnosis is challenging in patients with these conditions as definitive biomarkers are lacking; patients are required to meet clinical criteria and often undergo lengthy testing to exclude other conditions, a process that is often prolonged, costly, and burdensome for patients.

The identification of reliable validated biomarkers could facilitate earlier and more accurate diagnosis and drive the development of targeted pharmacological therapies that might address the underlying pathophysiology of these diseases. Major driving forces for biomarker identification are the advancing fields of metabolomics and proteomics that allow for comprehensive characterization of metabolites and proteins in biological specimens. Recent technological developments in these areas enable high-throughput analysis of thousands of metabolites and proteins from a variety of biological samples and model systems, that provides a powerful approach to unraveling the metabolic phenotypes associated with these complex diseases.

Emerging evidence suggests that ME/CFS, GWS, and FM are all characterized by disturbances in metabolic pathways, particularly those related to energy production, lipid metabolism, and oxidative stress. Altered levels of key metabolites in these pathways have been reported in studies highlighting potential common biochemical abnormalities. The precise mechanisms driving altered metabolic pathways in ME/CFS, GWS, and FM remain to be elucidated; however, the elevated oxidative stress observed across these illnesses may contribute to symptoms and offer a potential target for therapeutic intervention.

Investigating the mechanisms, and their role in the disease process, could provide insights into disease pathogenesis and reveal novel treatment targets. As such, comprehensive metabolomic and proteomic analyses are crucial for advancing the understanding of these conditions in-order to identify both common, and unique, metabolic alterations that could serve as diagnostic markers or therapeutic targets.

Source: Davis L, Higgs M, Snaith A, Lodge TA, Strong J, Espejo-Oltra JA, Kujawski S, Zalewski P, Pretorius E, Hoerger M, Morten KJ. Dysregulation of lipid metabolism, energy production, and oxidative stress in myalgic encephalomyelitis/chronic fatigue syndrome, Gulf War Syndrome and fibromyalgia. Front Neurosci. 2025 Mar 10;19:1498981. doi: 10.3389/fnins.2025.1498981. PMID: 40129725; PMCID: PMC11931034. https://pmc.ncbi.nlm.nih.gov/articles/PMC11931034/ (Full text)

Health outcomes one year after Omicron infection among 12,789 adults: a community-based cross-sectional study

Summary:

Background: Characterizing the paradigm and impact of long COVID is crucial for addressing this worldwide health challenge. This study aimed to investigate the prevalence of long COVID one year after primary Omicron infection and characterize differences in long-term health consequence between participants with persistent long COVID and those who fully recovered.

Methods: This a community-based cross-sectional study conducted from December 2023 to March 2024 at the China-Japan Friendship Hospital and 16 administrative districts in Beijing. 12,789 participants infected with Omicron between December 2022 and January 2023 were recruited through stratified multistage random sampling and included in the final analysis. Of them, 376 participants with persistent long COVID and 229 without long COVID were matched for further physical examinations. The primary outcome was the prevalence of long COVID one year after infection. Secondary outcomes included muscle strength, exercise capacity, health-related quality of life (HRQoL), mental health, work status, laboratory tests, and examinations.

Findings: Among 12,789 participants (media [IQR] age, 48.4 [37.3 to 61.4] years; 7817 females [61.1%]), 995 of them (7.8%) experienced long COVID within one year, with 651 (5.1%) having persistent symptoms. Fatigue (598/995 [60.1%]) and post-exertional malaise (367/995 [36.9%]) were the most common symptoms. Brain fog had the lowest resolution proportion as 4.2% within one year. The odds of long COVID increased with reinfections (odds ratios for one reinfection 2.592 [95% CI: 2.188 to 3.061]; two or more: 6.171 [3.227 to 11.557]; all p < 0.001). Participants with persistent long COVID had markedly lower muscle strength (upper-limb: 26.9 ± 12.4 vs. 29.1 ± 14.5 Kg; lower-limb: 40.0 [27.0 to 62.0] vs. 43.0 [28.0 to 59.0] s), worse exercise capacity and poorer HRQoL, and meaningful difference in laboratory tests results compared to those without long COVID. They also exhibited significantly higher proportions of abnormal lung function (FEV1 %pred<80%: 13.0% vs. 2.0%; DLco %pred<80%: 32.7% vs. 19.9%) and lung imaging abnormalities (23.5% vs. 13.6%).

Interpretation: The considerable health burden of long COVID and the progression of neurological symptoms following Omicron infection warrant close monitoring. Utilizing professional questionnaires and developing reliable diagnostic tools are necessary for improving diagnosis and treatment of long COVID.

Funding: This work was supported by Beijing Research Center for Respiratory Infectious Diseases (BJRID2024-012), Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (2022-I2M-CoV19-005/CIFMS 2021-I2M-1-048), the National Natural Science Foundation of China (82241056/82200114/82200009), the New Cornerstone Science Foundation.

Source: Zhang, Hui et al.Health outcomes one year after Omicron infection among 12,789 adults: a community-based cross-sectional study. The Lancet Regional Health – Western Pacific, Volume 0, Issue 0, 101507  https://www.thelancet.com/journals/lanwpc/article/PIIS2666-6065(25)00044-6/fulltext (Full text)

Cognitive Impairments in Two Samples of Individuals with ME/CFS and Long COVID: A Comparative Analysis

Abstract:

Cognitive impairments, including memory and concentration difficulties, are common in individuals with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID. These conditions frequently co-occur, but it remains unclear how cognitive difficulties differ between individuals with ME/CFS, long COVID, both, or neither. The purpose of this study was to examine cognitive impairment presence and type for individuals with and without these conditions.

Data from the 2022 and 2023 National Health Interview Survey were analyzed. Participants included 27,512 and 29,404 U.S. adults in 2022 and 2023, respectively. Survey weights and variance estimation variables were utilized and multivariate logistic regression models assessed the likelihood of cognitive difficulty, accounting for sociodemographics and shared variance. Participants from both cohorts were primarily female, white, and non-Hispanic/Latine, with an average age of 48.1 years in both cohorts.

ME/CFS (aOR 6.18; 95% CI 4.82-7.93; aOR 5.33; 95% CI 4.04-7.05) and long COVID (aOR 2.01; 95% CI 1.67-2.44; aOR 2.16; 95% CI 1.82-2.56) were significantly associated with reported cognitive difficulties, after controlling for the other condition and sociodemographic factors. Individuals with ME/CFS, particularly those with comorbid long COVID, are especially prone to memory and concentration difficulties.

Source: Sirotiak Z, Adamowicz JL, Thomas EBK. Cognitive Impairments in Two Samples of Individuals with ME/CFS and Long COVID: A Comparative Analysis. J Clin Psychol Med Settings. 2025 Mar 22. doi: 10.1007/s10880-025-10074-4. Epub ahead of print. PMID: 40120036. https://pubmed.ncbi.nlm.nih.gov/40120036/