Comparable Immune Alterations and Inflammatory Signatures in ME/CFS and Long COVID

Abstract:

Background: Chronic Fatigue Syndrome (CFS), also known as Myalgic Encephalomyelitis (ME), is a debilitating condition characterized by persistent fatigue and multisystemic symptoms, such as cognitive impairment, musculoskeletal pain, and post-exertional malaise. Recently, parallels have been drawn between ME/CFS and Long COVID, a post-viral syndrome following infection with SARS-CoV-2, which shares many clinical features with CFS. Both conditions involve chronic immune activation, raising questions about their immunopathological overlap.

Objectives: This study aimed to compare immune biomarkers between patients with ME/CFS or Long COVID and healthy controls to explore shared immune dysfunction.

Methods: We analyzed lymphocyte subsets, cytokine profiles, psychological status and their correlations in 190 participants, 65 with CFS, 54 with Long COVID, and 70 healthy controls.

Results: When compared to healthy subjects, results in both conditions were marked by lower levels of lymphocytes (CFS-2.472 × 109/L, p = 0.006, LC-2.051 × 109/L, p = 0.009), CD8+ T cells (CFS-0.394 × 109/L, p = 0.001, LC-0.404 × 109/L, p = 0.001), and NK cells (CFS-0.205 × 109/L, p = 0.001, LC-0.180 × 109/L, p = 0.001), and higher levels of proinflammatory cytokines such as IL-6 (CFS-3.35 pg/mL, p = 0.050 LC-4.04 pg/mL, p = 0.001), TNF (CFS-2.64 pg/mL, p = 0.023, LC-2.50 pg/mL, p = 0.025), IL-4 (CFS-3.72 pg/mL, p = 0.041, LC-3.45 pg/mL, p = 0.048), and IL-10 (CFS-2.29 pg/mL, p = 0.039, LC-2.25 pg/mL, p = 0.018).

Conclusions: Notably, there were no significant differences between CFS and Long COVID patients in the tested biomarkers. These results demonstrate that ME/CFS and Long COVID display comparable immune and inflammatory profiles, with no significant biomarker differences observed between the two groups.

Source: Petrov S, Bozhkova M, Ivanovska M, Kalfova T, Dudova D, Nikolova R, Vaseva K, Todorova Y, Aleksova M, Nikolova M, Taskov H, Murdjeva M, Maes M. Comparable Immune Alterations and Inflammatory Signatures in ME/CFS and Long COVID. Biomedicines. 2025 Dec 8;13(12):3001. doi: 10.3390/biomedicines13123001. PMID: 41463013. https://www.mdpi.com/2227-9059/13/12/3001 (Full text)

Proposed Mechanistic Axis of Infections and mTOR Hyperactivation: A Multidisciplinary Review of Immune, Rheumatologic, and Psychiatric Links

Abstract:

Early-life infections can produce durable changes in immune function and behavior. We propose a mechanistic hypothesis positioning the mechanistic target of rapamycin (mTOR) as the link between peripheral inflammation and central nervous system dysfunction in pediatric post-infectious syndromes. Based on clinical, translational, and experimental literature, we outline a stepwise pathway.

First, sustained mTOR activation skews T-cell and macrophage differentiation toward pro-inflammatory and autoimmune states. Second, endothelial mTOR signaling weakens tight junctions and increases vesicular transport, compromising blood-brain barrier integrity. Third, cytokines and sometimes autoreactive cells enter the brain and engage mTOR in microglia and neurons, driving neuroinflammation, impaired synaptic maintenance and plasticity, and neurotransmitter disruption.

This framework accounts for features observed in Long COVID, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and pediatric acute neuropsychiatry syndrome (PANS/PANDAS) and yields testable predictions on pathway activity and barrier permeability. It also motivates targeted interventions that modulate mTOR-related processes in immune and endothelial compartments and within neural circuits in children. So, this article aims to outline a mechanistic framework linking infection-driven mTOR activation to post-infectious neuropsychiatric syndromes.

Source: Fronticelli Baldelli G, Buonsenso D. Proposed Mechanistic Axis of Infections and mTOR Hyperactivation: A Multidisciplinary Review of Immune, Rheumatologic, and Psychiatric Links. Children (Basel). 2025 Nov 25;12(12):1603. doi: 10.3390/children12121603. PMID: 41462744. https://www.mdpi.com/2227-9067/12/12/1603 (Full text)

Sustained illness burden over time among Australians with myalgic encephalomyelitis/chronic fatigue syndrome

Abstract:

Background: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a disabling chronic illness. Many people with ME/CFS (pwME/CFS) are unable to continue employment and require support to complete activities of daily living. Despite this, ME/CFS remains unrecognised as a disability in Australia. The present study aimed to highlight the profound burdens experienced by pwME/CFS over time to provide evidence of permanency and necessitate reforms to Australian healthcare policies.

Methods: Data were collected for this longitudinal investigation between 1st October 2021 and 3rd October 2024. All participants were Australian residents aged between 18 and 65 years fulfilling the Canadian or International Consensus Criteria. Sociodemographic information, medical history, illness presentation and patient-reported outcomes were collected using three self-administered questionnaires distributed at approximately six-month intervals. Illness presentation and patient-reported outcomes were investigated over 12 months with Cochran’s Q, Friedman and one-way repeated measures ANOVA tests using Statistical Package for the Social Sciences version 29.0. Quality of life data were compared with Australian population norms using one-sample Wilcoxon signed-rank tests.

Results: Thirty-two pwME/CFS (n = 22/32, 68.8% female) participated at all three time points. At baseline, the mean age was 44.03 years and median illness duration was 12.50 years. Participants reported a median of 30 symptoms at each time point – the most common of which were also the most severe in presentation. Importantly, there were no significant changes in any symptom or patient-reported outcome over the 12-month study period. Overall health status, physical health and the ability to participate in daily and work life activities were the most substantially impacted. Quality of life was significantly reduced among pwME/CFS when compared with population norms at all time points.

Conclusions: PwME/CFS face substantial and sustained illness burdens. These consistent, profound impairments emphasise the need for improved access to disability and social support services for pwME/CFS in Australia through policy reform.

Source: Weigel B, Eaton-Fitch N, Thapaliya K, Marshall-Gradisnik S. Sustained illness burden over time among Australians with myalgic encephalomyelitis/chronic fatigue syndrome. PLoS One. 2025 Dec 29;20(12):e0338433. doi: 10.1371/journal.pone.0338433. PMID: 41460857; PMCID: PMC12747376. https://pmc.ncbi.nlm.nih.gov/articles/PMC12747376/ (Full text)

Chronic Reactivation of Persistent Human Herpesviruses EBV, HHV-6 and VZV and Heightened Anti-dUTPase IgG Antibodies Are a Recurrent Hallmark in Post-Infectious ME/CFS and is Associated With Fatigue

Abstract:

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a debilitating disease with unknown etiology and heterogeneous symptomology for which there are no validated tests for definitive diagnosis. We examined 873 longitudinal serum samples from ME/CFS patients (n = 40) and 378 from healthy control individuals (n = 16) for differences in human herpesvirus and endogenous retrovirus-K (HERV-K) dUTPase IgG antibodies by ELISA.

The results of this study demonstrate a significant increase in dUTPase IgG antibodies to the herpesviruses Epstein-Barr virus (EBV), human herpesvirus-6 (HHV-6) and varicella zoster virus (VZV) in ME/CFS compared to healthy-controls (p < 0.001). Notably, 72.5% (n = 29) of ME/CFS patients simultaneously co-expressed antibodies to multiple herpesvirus and HERV-K dUTPases compared to 31% (n = 5) of the healthy controls. Chi-square test analysis showed strong associations for EBV, HHV-6 and VZV dUTPase antibodies seropositivity (p < 0.001) and Spearman correlation analysis revealed significant positive associations of EBV and HHV-6 dUTPase IgG antibodies with fatigue.

Further examination of the distribution of dUTPase antibodies across fatigue severity groups show that heightened dUTPase IgG levels cluster with ME/CFS patients exhibiting moderate and severe fatigue. These findings highlight the importance of examining herpesvirus dUTPase IgG across severity groups in aiding with current challenges for stratifying ME/CFS patients due to the heterogeneity in symptomology.

Source: Palomo IM, Cox B, Williams MV, Ariza ME. Chronic Reactivation of Persistent Human Herpesviruses EBV, HHV-6 and VZV and Heightened Anti-dUTPase IgG Antibodies Are a Recurrent Hallmark in Post-Infectious ME/CFS and is Associated With Fatigue. J Med Virol. 2026 Jan;98(1):e70769. doi: 10.1002/jmv.70769. PMID: 41451845. https://pubmed.ncbi.nlm.nih.gov/41451845/

Editorial: Exploring chronic fatigue: neural correlates, mechanisms, and therapeutic strategies

Introduction:

Fatigue and weariness have been universal experiences throughout human history, coexisting with humanity since its earliest days across all cultures and times. It occurs in ancient stories, including Genesis, in which Adam’s fatigue was linked to the toil imposed upon him as part of the consequences of disobedience, a condition that made sustaining life a laborious task. Acute fatigue, which arises naturally in response to stress or work, is a normal physiological process experienced by all humans regardless of era or place. It signals the body’s need to rest and adapt, playing a vital role in maintaining health and balance.

In contrast, chronic fatigue, as seen in aging populations and conditions like myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), is a complex and often debilitating disorder that extends beyond normal tiredness. It involves sustained disruption of metabolic, neurological, and immune functions, resisting typical recovery mechanisms. The 14 papers in this Research Topic collectively explore the multifaceted nature of fatigue, presenting advances in mechanistic research, epidemiology, clinical interventions, rehabilitation techniques, and innovative monitoring technologies aimed at improving diagnosis, treatment, and management of this persistent condition.

Source: Kujawski S, Hodges L, Morten KJ, Zalewski P. Editorial: Exploring chronic fatigue: neural correlates, mechanisms, and therapeutic strategies. Front Neurosci. 2025 Dec 10;19:1751667. doi: 10.3389/fnins.2025.1751667. PMCID: PMC12728026. https://pmc.ncbi.nlm.nih.gov/articles/PMC12728026/ (Full text)

Uncovering the genetic architecture of ME/CFS: a precision approach reveals impact of rare monogenic variation

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a disabling and heterogeneous disorder lacking validated biomarkers or targeted therapies. Clinical variability and elusive pathophysiology hinder progress toward effective diagnostics and treatment. Core symptoms include persistent fatigue, post-exertional malaise, unrefreshing sleep, cognitive dysfunction, and pain. We tested whether an individualized, “n-of-1” genomic and transcriptomic framework combined with comprehensive, participant-informed phenotyping could reveal molecular signatures unique to each patient.

Methods: Clinical-grade whole-genome sequencing was conducted in 31 affected individuals from 25 families, with RNA-seq performed on a subset (16 affected, 7 unaffected) using blood samples. Machine-learning assisted variant triage, transcript-aware damage prediction, and expert review identified pathogenic or likely pathogenic variants in 8 of 25 probands (32%) and 12 of 31 affected individuals (39%).

Results: Findings revealed marked genetic heterogeneity, including large-effect rare and more common variants. Implicated pathways included ATP generation, oxidative phosphorylation, fatty acid oxidation; regulation of glycolysis, amino acid and lipid turnover; ion and solute homeostasis; synaptic signaling, excitability, oxygen transport, and muscle integrity, resilience, and post-exertional recovery; previously implicated processes. Plausible modifiers influencing disease onset, severity, and relapsing–remitting patterns and possibly explaining intrafamilial variability and inconsistent findings across studies, were also identified. Despite gene-level diversity, downstream effects converged on impaired energy production, reduced stress resilience, and vulnerability to post-exertional metabolic failure; disruptions consistent with core ME/CFS symptoms of exertional intolerance, cognitive fog, and fatigue.

Conclusions: Our findings support the hypothesis that at least a subset of ME/CFS cases represent distinct molecular disorders that converge on shared physiological pathways. Validation in larger, more diverse cohorts will be essential to test this hypothesis and establish generalizability, but increase size alone is unlikely to resolve causation in a disorder defined by rarity, heterogeneity, and molecular complexity. We suggest that progress will require experimental designs that integrate individual-level genomic data with deep, participant-informed deep phenotyping, capturing the combined effects of rare and common variants and environmental modifiers on disease expression and progression. We believe that an individualized precision medicine framework will uncover molecular drivers and modifiers of ME/CFS previously obscured by heterogeneity, enabling biologically informed stratification, improved trial design, biomarker discovery, and targeted interventions in this historically neglected condition.

Source: Birch CL, Wilk BM, Gajapathy M, Hutchins SD, Kaur G, Brown DM, Mamidi TKK, Hodgin KS, Turgut A, Younger JW, Worthey EA. Uncovering the genetic architecture of ME/CFS: a precision approach reveals impact of rare monogenic variation. J Transl Med. 2025 Dec 24. doi: 10.1186/s12967-025-07586-w. Epub ahead of print. PMID: 41444612. https://link.springer.com/article/10.1186/s12967-025-07586-w (Full text available as PDF file)

Testing the Feasibility of a Self-Help Intervention That Includes Lymphatic Drainage to Reduce Fatigue-Related Symptoms Among Patients with Long COVID in General Practice: Experiences from Our Randomized Controlled Trial (RCT)

Abstract:

Introduction: Long COVID-related fatigue affects a large number of people across the world, with increasing numbers of people experiencing long-term disability as a consequence. We tested the feasibility of a self-help version of a manual osteopathic approach initially developed for people with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) to treat people with long COVID-related fatigue.

Methods: Our feasibility study assessed recruitment into a 1:1 randomized controlled trial (RCT) to receive (i) self-help intervention (self-massage, mobility, flexibility, and breathing exercises, and alternating cold and warm packs to the top of the spine) or (ii) wait-list control group. Follow-up was assessed by online surveys at 3 and 6 months (indicating retention). Verbal feedback was obtained from participants.

Results: Of the 138 eligible survey participants, 126 (90.6%) agreed to participate in two RCTs, achieving the required sample size of 100. Follow-up rates of 79.3% and 59.4% were achieved at 3 and 6 months, respectively. Improvements in Chalder Fatigue Questionnaire (CFQ) scores were observed in both groups between 0 and 3 months (- 4.6 and – 2.9, respectively), to a greater degree in the intervention group (p = 0.01). Feedback showed a cohort keen to engage with the intervention, although some found the intervention onerous at times.

Conclusions: We have reported the results of a feasibility study examining a potentially beneficial intervention for people with long COVID. There were indications of benefit in a patient group with often intractable symptoms. Based on this feasibility study, we believe that the low-cost self-help intervention in isolation could help support fatigue reduction in some people. This has implications for the treatment of both long COVID and ME/CFS.

Source: Riste L, Perrin R, Mulholland T, Hann M, McDonald O, Heald A. Testing the Feasibility of a Self-Help Intervention That Includes Lymphatic Drainage to Reduce Fatigue-Related Symptoms Among Patients with Long COVID in General Practice: Experiences from Our Randomized Controlled Trial (RCT). Infect Dis Ther. 2025 Dec 24. doi: 10.1007/s40121-025-01287-z. Epub ahead of print. PMID: 41442105. https://link.springer.com/article/10.1007/s40121-025-01287-z (Full text)

Metabolomics-Based Machine Learning Diagnostics of Post-Acute Sequelae of SARS-CoV-2 Infection

Abstract:

Background: COVID-19 has taken millions of lives and continues to affect people worldwide. Post-Acute Sequelae of SARS-CoV-2 Infection (also known as Post-Acute Sequelae of COVID-19 (PASC) or more commonly, Long COVID) occurs in the aftermath of COVID-19 and is poorly understood despite its widespread effects.

Methods: We created a machine-learning model that distinguishes PASC from PASC-similar diseases. The model was trained to recognize PASC-dysregulated metabolites (p ≤ 0.05) using molecular descriptors.

Results: Our multi-layer perceptron model accurately recognizes PASC-dysregulated metabolites in the independent testing set, with an AUC-ROC of 0.8991, and differentiates PASC from myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), Lyme disease, postural orthostatic tachycardia syndrome (POTS), and irritable bowel syndrome (IBS). However, it was unable to differentiate fibromyalgia (FM) from PASC.

Conclusions: By creating and testing models pairwise on each of these diseases, we elucidated the unique strength of the similarity between FM and PASC relative to other PASC-similar diseases. Our approach is unique to PASC diagnosis, and our use of molecular descriptors enables our model to work with any metabolite where molecular descriptors can be identified, as these descriptors can be generated and compared for any metabolite. Our study presents a novel approach to PASC diagnosis that partially circumvents the lengthy process of exclusion, potentially facilitating faster interventions and improved patient outcomes.

Source: Cai E, Kouznetsova VL, Tsigelny IF. Metabolomics-Based Machine Learning Diagnostics of Post-Acute Sequelae of SARS-CoV-2 Infection. Metabolites. 2025 Dec 17;15(12):801. doi: 10.3390/metabo15120801. PMID: 41441042; PMCID: PMC12734907. https://pmc.ncbi.nlm.nih.gov/articles/PMC12734907/ (Full text)

Diagnosis of chronic fatigue syndrome using beat-to-beat autonomic measurements

Abstract:

Background: An artificial intelligence (AI) pipeline was used to differentiate patients suffering from Chronic Fatigue Syndrome (CFS) from healthy controls (HC) based on high-frequency, large-scale data obtained using beat-to-beat measurement of the autonomic nervous system (ANS) and cardiovascular function.

Methods: This prospective, case-control study included a cohort of 112 CFS patients and 61 HCs examined. Heart rate (HR), high-frequency R-to-R interval (HF RRI), diastolic blood pressure (dBP), stroke volume (SV), and SV index (SV/FFM) were measured using the Task Force Monitor. A novel sequential learning approach was applied: first, a Transformer model was trained, followed by an XGBoost classifier that learned from the errors of the Transformer. Matthews correlation coefficient (MCC), accuracy, and Area Under the Receiver Operating Characteristic Curve (ROC AUC) were assessed. Model classifications were explained globally.

Results: The applied classifier achieved a subject-level accuracy of 0.89, an MCC of 0.79, and an AUC of 1.00. Lower values of beat-to-beat difference in HR and raw HF RRI (indicating reduced cardiac vagal tone) and higher values of dBP difference (more beat-to-beat increases, indicating higher sympathetic vascular tone) were related to being more likely classified as CFS patients. Low values of SV difference and low values of SV/FFM (both indicating less effective cardiac hemodynamics) were related to being more likely classified as CFS patients.

Conclusions: The AI-driven classifier demonstrates remarkable proficiency in distinguishing between patients with CFS and HC. By leveraging this automated pipeline, beat-to-beat measurements of the ANS can significantly enhance the objective assessment of CFS diagnosis.

Source: Kujawski S, Tabisz H, Morten KJ, Modlińska A, Słomko J, Zalewski P. Diagnosis of chronic fatigue syndrome using beat-to-beat autonomic measurements. J Transl Med. 2025 Dec 23;23(1):1413. doi: 10.1186/s12967-025-07433-y. PMID: 41437251; PMCID: PMC12729017. https://pmc.ncbi.nlm.nih.gov/articles/PMC12729017/ (Full text)

Evaluation of an online patient education program for children and young people with ME/CFS and their parents within the BAYNET FOR MECFS Study

Abstract:

Background: ME/CFS (Myalgic Encephalomyelitis/Chronic Fatigue Syndrome) poses challenges for affected children and young people (CYP) and their parents. There is often a lack of knowledge about the illness. Education programs can help address this by providing knowledge and supporting the independent management of the condition. For this reason, two online education programs – one for affected CYP and one for their parents – were developed, implemented, and evaluated in terms of acceptance, format, and benefits.

Methods: 24 CYP aged of up to 20 years with ME/CFS and their parents were recruited for this study. Of these 22 CYP with ME/CFS and 20 parents participated in the online education program. After development and conduction of the programs, six affected CYP were interviewed using written questions, which were answered via an audio device. Furthermore, 6 semi-structured interviews were obtained with parents. All parents also received an online questionnaire to evaluate the program. Data were analyzed using both quantitative and qualitative methods.

Results: Both CYP and their parents expressed overall satisfaction with the program highlighting aspects such as knowledge acquisition or reinforcement and, importantly, the opportunity to connect with other affected CYP or their parents. The online format was also perceived very positively.

Discussion: The online education program met the expectations and needs of both affected CYP and parents regarding content and format. It facilitated exchange and provided practical knowledge. In this format, the online program appears to be a valuable component of care for those affected.

Source: Keicher F, Thomann J, Erlenwein J, Schottdorf M, Wiejaczka K, Reiter NL, Scholz-Schwärzler N, Vogel B, Stojanov S, Augustin S, Saramandic M, Dettmer K, Englbrecht S, Jaeschke R, Schanz L, Dodel V, Zipper C, Schieweck N, Ernst G, Behrends U, Spiegler J. Evaluation of an online patient education program for children and young people with ME/CFS and their parents within the BAYNET FOR MECFS Study. Neuropediatrics. 2025 Dec 23. doi: 10.1055/a-2773-9655. Epub ahead of print. PMID: 41435903. https://www.thieme-connect.com/products/ejournals/abstract/10.1055/a-2773-9655 (Full text available as PDF file)