ME patient experiences: Sampling bias limits the external validity of findings

Abstract:

In a recent paper in Journal of Health Psychology, Kielland et al. present a study with the first objective of documenting how helpful or unhelpful persons with ME perceive common services and interventions. The authors recruited participants by respondent driven sampling, a method that aims to produce estimates that correct for sampling bias. However, we argue that the main assumptions of the method are not met, and that the results of the study thus cannot be generalised to the intended target population.

Source: Selvakumar J, Wyller VBB. ME patient experiences: Sampling bias limits the external validity of findings. J Health Psychol. 2025 Jan 21:13591053241310320. doi: 10.1177/13591053241310320. Epub ahead of print. PMID: 39838600. https://pubmed.ncbi.nlm.nih.gov/39838600/

Abnormal T-Cell Activation And Cytotoxic T-Cell Frequency Discriminates Symptom Severity In Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating but poorly-understood disease. ME/CFS symptoms can range from mild to severe, and include immune system effects alongside incapacitating fatigue and post-exertional disease exacerbation. In this study, we examined immunological profiles of people living with ME/CFS by flow cytometry, focusing on cytotoxic cells, to determine whether people with mild/moderate (n= 43) or severe ME/CFS (n=53) expressed different immunological markers.

We found that people with mild/moderate ME/CFS had increased expression of cytotoxic effector molecules alongside enhanced proportions of early-immunosenescence cells, determined by the CD28 – CD57 – phenotype, indicative of persistent viral infection. In contrast, people with severe ME/CFS had higher proportions of activated circulating lymphocytes, determined by CD69 + and CD38 + expression, and expressed more pro-inflammatory cytokines, including IFNγ, TNF and IL-17, following stimulation in vitro , indicative of prolonged non-specific inflammation.

These changes were consistent across different cell types including CD8 + T cells, mucosal associated invariant T cells and Natural Killer cells, indicating generalised altered cytotoxic responses across the innate and adaptive immune system. These immunological differences likely reflect different disease pathogenesis mechanisms occurring in the two clinical groups, opening up opportunities for the development of prognostic markers and stratified treatments.

Source: Lee JS, Lacerda E, Kingdon C, Susannini G, Dockrell HM, Nacul L, Cliff JM. Abnormal T-Cell Activation And Cytotoxic T-Cell Frequency Discriminates Symptom Severity In Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. medRxiv [Preprint]. 2025 Jan 6:2025.01.02.24319359. doi: 10.1101/2025.01.02.24319359. PMID: 39830245; PMCID: PMC11741448. https://pubmed.ncbi.nlm.nih.gov/39830245/

Machine learning and multi-omics in precision medicine for ME/CFS

Abstract:

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex and multifaceted disorder that defies simplistic characterisation. Traditional approaches to diagnosing and treating ME/CFS have often fallen short due to the condition’s heterogeneity and the lack of validated biomarkers. The growing field of precision medicine offers a promising approach which focuses on the genetic and molecular underpinnings of individual patients.

In this review, we explore how machine learning and multi-omics (genomics, transcriptomics, proteomics, and metabolomics) can transform precision medicine in ME/CFS research and healthcare. We provide an overview on machine learning concepts for analysing large-scale biological data, highlight key advancements in multi-omics biomarker discovery, data quality and integration strategies, while reflecting on ME/CFS case study examples. We also highlight several priorities, including the critical need for applying robust computational tools and collaborative data-sharing initiatives in the endeavour to unravel the biological intricacies of ME/CFS.

Source: Huang K, Lidbury BA, Thomas N, Gooley PR, Armstrong CW. Machine learning and multi-omics in precision medicine for ME/CFS. J Transl Med. 2025 Jan 14;23(1):68. doi: 10.1186/s12967-024-05915-z. PMID: 39810236. Huang K, Lidbury BA, Thomas N, Gooley PR, Armstrong CW. Machine learning and multi-omics in precision medicine for ME/CFS. J Transl Med. 2025 Jan 14;23(1):68. doi: 10.1186/s12967-024-05915-z. PMID: 39810236. https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-024-05915-z (Full text)

Hippocampal subfield volume alterations and associations with severity measures in long COVID and ME/CFS: A 7T MRI study

Abstract:

Long COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) patients share similar symptoms including post-exertional malaise, neurocognitive impairment, and memory loss. The neurocognitive impairment in both conditions might be linked to alterations in the hippocampal subfields. Therefore, this study compared alterations in hippocampal subfields of 17 long COVID, 29 ME/CFS patients, and 15 healthy controls (HC).

Structural MRI data was acquired with sub-millimeter isotropic resolution on a 7 Telsa MRI scanner and hippocampal subfield volumes were then estimated for each participant using FreeSurfer software. Our study found significantly larger volumes in the left hippocampal subfields of both long COVID and ME/CFS patients compared to HC.

These included the left subiculum head (long COVID; p = 0.01, ME/CFS; p = 0.002,), presubiculum head (long COVID; p = 0.004, ME/CFS; p = 0.005), molecular layer hippocampus head (long COVID; p = 0.014, ME/CFS; p = 0.011), and whole hippocampal head (long COVID; p = 0.01, ME/CFS; p = 0.01). Notably, hippocampal subfield volumes were similar between long COVID and ME/CFS patients.

Additionally, we found significant associations between hippocampal subfield volumes and severity measures of ‘Pain’, ‘Duration of illness’, ‘Severity of fatigue’, ‘Impaired concentration’, ‘Unrefreshing sleep’, and ‘Physical function’ in both conditions. These findings suggest that hippocampal alterations may contribute to the neurocognitive impairment experienced by long COVID and ME/CFS patients. Furthermore, our study highlights similarities between these two conditions.

Source: Thapaliya K, Marshall-Gradisnik S, Eaton-Fitch N, Barth M, Inderyas M, Barnden L. Hippocampal subfield volume alterations and associations with severity measures in long COVID and ME/CFS: A 7T MRI study. PLoS One. 2025 Jan 13;20(1):e0316625. doi: 10.1371/journal.pone.0316625. PMID: 39804864; PMCID: PMC11729965. https://pmc.ncbi.nlm.nih.gov/articles/PMC11729965/ (Full text)

Autoantibody-Driven Monocyte Dysfunction in Post-COVID Syndrome with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Abstract:

Post-COVID syndrome (PCS) has emerged as a significant health concern with persisting symptoms. A subset of PCS patients develops severe myalgic encephalomyelitis/chronic fatigue syndrome (pcME/CFS). Dysregulated autoantibodies (AABs) have been implicated in PCS, contributing to immune dysregulation, impairment of autonomous nerve and vascular function. As recently shown in autoimmune diseases, IgG fractions translate disease-specific pathways into various cells. Therefore, we asked whether IgG fractions from PCS patients could be applied in vitro to identify specific cytokine rersponses for PCS patients without (nPCS) and with pcME/CSF.

To assess this, we have stimulated monocyte cell lines with IgG fractions from PCS patients. Our findings reveal distinct patterns of immune regulation by AABs in vascular and immune dysfunction. In contrast to nPCS, pcME/CSF AABs induced enhanced neurotrophic responses, characterized by significant cytokine correlations involving brain-derived neurotrophic factor (BDNF), glial cell-derived neurotrophic factor (GDNF) and LIGHT. AAB-induced cytokine levels correlate with clinical symptoms. Further, this study emphasizes a contribution of AAB in PCS, in mitigating long-term immune dysregulation, and a need for therapies modulating IgG-induced pathways.

Source: Alexander Hackel, Franziska Sotzny, Elise Mennenga, Harald Heidecke, Kai Schulze-Foster,  Kontantinos Fourlakis,  Susanne Lueders, Hanna Grasshoff, Kerstin Rubarth, Frank Konietschke, Tanja Lange, Carmen Scheibenbogen, Reza Akbarzade, Gabriela Riemekasten. Autoantibody-Driven Monocyte Dysfunction in Post-COVID Syndrome with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. medRxiv 2025.01.09.25320264; doi: https://doi.org/10.1101/2025.01.09.25320264 https://www.medrxiv.org/content/10.1101/2025.01.09.25320264v1.full.pdf+html (Full text available as PDF file)

Effect of Immunoadsorption on clinical presentation and immune alterations in COVID-19-induced and/or aggravated ME/CFS

Abstract:

Autoreactive antibodies (AAB) are currently being investigated as causative or aggravating factors during post-COVID. In this study we analyze the effect of immunoadsorption therapy on symptom improvement and the relationship with immunological parameters in post-COVID patients exhibiting symptoms of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) induced or aggravated by an SARS-CoV-2 infection. This observational study includes 12 post-COVID patients exhibiting a predominance of ME/CFS symptoms alongside increased concentrations of autonomic nervous system receptors (ANSR) autoantibodies and neurological impairments.

We found that following immunoadsorption therapy, the ANSR autoantibodies were nearly eliminated from the patients’ blood. The removal of IgG antibodies was accompanied by a decrease of pro-inflammatory cytokines including IL4, IL2, IL1β, TNF and IL17A serum levels, and a significant reduction of soluble spike protein. Notably, a strong positive correlation between pro-inflammatory cytokines and ASNR-AABs β1, β2, M3, and M4 was observed in spike protein-positive patients, whereas no such correlation was evident in spike protein-negative patients.

30 days post-immunoadsorption therapy, patients exhibited notable improvement in neuropsychological function and a modest but statistically significant amelioration of hand grip strength was observed. However, neither self-reported symptoms nor scores on ME/CFS questionnaires showed a significant improvement and a rebound of the removed proteins occurring within a month.

Source: Anft M, Wiemers L, Rosiewicz KS, Doevelaar A, Skrzypczyk S, Kurek J, Kaliszczyk S, Seidel M, Stervbo U, Seibert FS, Westhoff TH, Babel N. Effect of Immunoadsorption on clinical presentation and immune alterations in COVID-19-induced and/or aggravated ME/CFS. Mol Ther. 2025 Jan 9:S1525-0016(25)00011-5. doi: 10.1016/j.ymthe.2025.01.007. Epub ahead of print. PMID: 39797400. https://www.cell.com/molecular-therapy-family/molecular-therapy/pdf/S1525-0016(25)00011-5.pdf (Full text) https://pubmed.ncbi.nlm.nih.gov/39797400/ (Abstract)

Incidence and Prevalence of Post-COVID-19 Myalgic Encephalomyelitis: A Report from the Observational RECOVER-Adult Study

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) may occur after infection. How often people develop ME/CFS after SARS-CoV-2 infection is unknown.

Objective: To determine the incidence and prevalence of post-COVID-19 ME/CFS among adults enrolled in the Researching COVID to Enhance Recovery (RECOVER-Adult) study.

Design, setting, and participants: RECOVER-Adult is a longitudinal observational cohort study conducted across the U.S. We included participants who had a study visit at least 6 months after infection and had no pre-existing ME/CFS, grouped as (1) acute infected, enrolled within 30 days of infection or enrolled as uninfected who became infected (n=4515); (2) post-acute infected, enrolled greater than 30 days after infection (n=7270); and (3) uninfected (1439).

Measurements: Incidence rate and prevalence of post-COVID-19 ME/CFS based on the 2015 Institute of Medicine ME/CFS clinical diagnostic criteria.

Results: The incidence rate of ME/CFS in participants followed from time of SARS-CoV-2 infection was 2.66 (95% CI 2.63-2.70) per 100 person-years while the rate in matched uninfected participants was 0.93 (95% CI 0.91-10.95) per 100 person-years: a hazard ratio of 4.93 (95% CI 3.62-6.71). The proportion of all RECOVER-Adult participants that met criteria for ME/CFS following SARS-CoV-2 infection was 4.5% (531 of 11,785) compared to 0.6% (9 of 1439) in uninfected participants. Post-exertional malaise was the most common ME/CFS symptom in infected participants (24.0%, 2830 of 11,785). Most participants with post-COVID-19 ME/CFS also met RECOVER criteria for long COVID (88.7%, 471 of 531).

Limitations: The ME/CFS clinical diagnostic criteria uses self-reported symptoms. Symptoms can wax and wane.

Conclusion: ME/CFS is a diagnosable sequela that develops at an increased rate following SARS-CoV-2 infection. RECOVER provides an unprecedented opportunity to study post-COVID-19 ME/CFS.

Source: Vernon SD, Zheng T, Do H, Marconi VC, Jason LA, Singer NG, Natelson BH, Sherif ZA, Bonilla HF, Taylor E, Mullington JM, Ashktorab H, Laiyemo AO, Brim H, Patterson TF, Akintonwa TT, Sekar A, Peluso MJ, Maniar N, Bateman L, Horwitz LI, Hess R; NIH Researching COVID to Enhance Recovery (RECOVER) Consortium. Incidence and Prevalence of Post-COVID-19 Myalgic Encephalomyelitis: A Report from the Observational RECOVER-Adult Study. J Gen Intern Med. 2025 Jan 13. doi: 10.1007/s11606-024-09290-9. Epub ahead of print. PMID: 39804551. https://link.springer.com/article/10.1007/s11606-024-09290-9 (Full text)

Cluster analysis to identify long COVID phenotypes using 129Xe magnetic resonance imaging: a multicentre evaluation

Abstract:

Background: Long COVID impacts ∼10% of people diagnosed with coronavirus disease 2019 (COVID-19), yet the pathophysiology driving ongoing symptoms is poorly understood. We hypothesised that 129Xe magnetic resonance imaging (MRI) could identify unique pulmonary phenotypic subgroups of long COVID. Therefore, we evaluated ventilation and gas exchange measurements with cluster analysis to generate imaging-based phenotypes.

Methods: COVID-negative controls and participants who previously tested positive for COVID-19 underwent 129Xe MRI ∼14 months post-acute infection across three centres. Long COVID was defined as persistent dyspnoea, chest tightness, cough, fatigue, nausea and/or loss of taste/smell at MRI; participants reporting no symptoms were considered fully recovered. 129Xe MRI ventilation defect percent (VDP) and membrane-to-gas (Mem/Gas), red blood cell-to-membrane (RBC/Mem) and red blood cell-to-gas (RBC/Gas) ratios were used in k-means clustering for long COVID, and measurements were compared using ANOVA with post-hoc Bonferroni correction.

Results: We evaluated 135 participants across three centres: 28 COVID-negative (mean±sd age 40±16 years), 34 fully recovered (42±14 years) and 73 long COVID (49±13 years). RBC/Mem (p=0.03) and forced expiratory volume in 1 s (FEV1) (p=0.04) were different between long COVID and COVID-negative; FEV1 and all other pulmonary function tests (PFTs) were within normal ranges. Four unique long COVID clusters were identified compared with recovered and COVID-negative. Cluster 1 was the youngest with normal MRI and mild gas trapping; Cluster 2 was the oldest, characterised by reduced RBC/Mem but normal PFTs; Cluster 3 had mildly increased Mem/Gas with normal PFTs; and Cluster 4 had markedly increased Mem/Gas with concomitant reduction in RBC/Mem and restrictive PFT pattern.

Conclusions: We identified four 129Xe MRI long COVID phenotypes with distinct characteristics. 129Xe MRI can dissect pathophysiological heterogeneity of long COVID to enable personalised patient care.

Source: Eddy RL, Mummy D, Zhang S, Dai H, Bechtel A, Schmidt A, Frizzell B, Gerayeli FV, Leipsic JA, Leung JM, Driehuys B, Que LG, Castro M, Sin DD, Niedbalski PJ. Cluster analysis to identify long COVID phenotypes using 129Xe magnetic resonance imaging: a multicentre evaluation. Eur Respir J. 2024 Mar 28;63(3):2302301. doi: 10.1183/13993003.02301-2023. PMID: 38331459; PMCID: PMC10973687. https://pmc.ncbi.nlm.nih.gov/articles/PMC10973687/ (Full text)

Inactivation of ATG13 stimulates chronic demyelinating pathologies in muscle-serving nerves and spinal cord

Abstract:

Chronic muscle fatigue is a condition characterized by debilitating muscle weakness and pain. Based on our recent finding to study the potential effect of mTOR on ATG13 inactivation in chronic muscle fatigue, we report that biweekly oral administration with MHY1485, a potent inducer of mTOR, develops chronic illness in mice resulting in severe muscle weakness. As a mechanism, we observed that MHY1485 feeding impaired ATG13-dependent autophagy, caused the infiltration of inflammatory M1 macrophages (Mφ), upregulated IL6 and RANTES by STAT3 activation, and augmented demyelination in muscle-serving nerve fibers. Interestingly, these mice displayed worsened muscle fatigue during 2-day post-treadmill exercise, suggesting the critical role of chronic mTOR activation in potential PEM pathogenesis. Interestingly, ATG13-repressor mice exhibited enhanced infiltration of M1Mφ cells, STAT3 activation, demyelination of nerve fibers, and PEM-like symptoms, suggesting the potential role of ATG13 impairment in post-exertional fatigue.

HIGHLIGHTS: The potential role of mTOR activation in post-exertional fatigue is highlighted. As a molecular mechanism, mTOR activation augments autophagy impairment via ATG13 inactivation. Autophagy impairment induces IL-6 and RANTES via STAT3, demyelinates nerves in the muscle and spinal cord. ATG13 repressor mice (Tg-ATG13) displayed inflammatory demyelination and post-treadmill fatigue.

Source: Drosen ME, Bulbule S, Gottschalk G, Peterson D, Allen LA, Arnold LA, Roy A. Inactivation of ATG13 stimulates chronic demyelinating pathologies in muscle-serving nerves and spinal cord. Immunol Res. 2025 Jan 7;73(1):27. doi: 10.1007/s12026-024-09557-7. PMID: 39777574. https://link.springer.com/article/10.1007/s12026-024-09557-7 (Full text)

Relationship between major depressive disorder and myalgic encephalomyelitis/chronic fatigue syndrome: a two-sample mendelian randomization study analysis

Abstract:

Major depressive disorder (MDD) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) frequently occur together; yet their causal relationship remains unclear. To investigate the potential genetic causal link between these conditions, we conducted a two-sample Mendelian randomization (MR) analysis.

Summary data from Genome-Wide Association Studies (GWAS) for MDD were sourced from the UK Biobank and the Psychiatric Genomics Consortium, while GWAS data for ME/CFS were retrieved from the UK Biobank. Inverse-variance weighting (IVW), the MR-Egger method, and weighted median, simple and weighted modes were used to perform the MR analysis. In addition, Cochrane’s Q-test was used to detect heterogeneity among the MR results. Horizontal pleiotropy was detected using the MR-Egger intercept and the MR pleiotropy residual sum and outlier (MR-PRESSO) tests. Leave-one-out analysis was performed to investigate the sensitivity of the association between MDD and ME/CFS.

The results of the MR analysis revealed no causal relationship between MDD and ME/CFS. The pleiotropy test revealed that causality bias was improbable, and no evidence of heterogeneity was found among the genetic variants. Finally, the leave-one-out test confirmed the stability and robustness of our findings.

Source: Song, W., Hou, X., Wu, M. et al. Relationship between major depressive disorder and myalgic encephalomyelitis/chronic fatigue syndrome: a two-sample mendelian randomization study analysis. Sci Rep 15, 1155 (2025). https://doi.org/10.1038/s41598-025-85217-6 https://www.nature.com/articles/s41598-025-85217-6 (Full text)