Evidence for transcriptomic changes impacting muscle contraction in patients with post-acute COVID-19 syndrome

Abstract:

Post-acute COVID-19 syndrome (PACS) overlaps with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) but, due to frequent muscle pain and exertional intolerance, neuromuscular disorders are often suspected. We report the results of a comprehensive neuromuscular evaluation in 27 PACS patients (22F/5M; median age 41 ys).

All patients developed chronic fatigue (>6 months), post-exertional malaise, and cognitive impairment, with muscle pain in 88% but no neuromuscular deficits at clinical examination. 18/27 patients were unable to work. All patients fulfilled established ME/CFS diagnostic criteria (CDC 1994, ICC 2011, Inst Medicine 2015, NICE 2021). Electrophysiological studies and CK levels were normal.

Brain 18FDG-PET/MRI (14/27) showed posterior hypometabolism in 8/14. Muscle biopsy (7/27) showed moderate dysimmune changes in 2/7. Exploratory transcriptomic analyses performed in muscle biopsies from PACS patients and pre-COVID controls unveiled in PACS differentially expressed genes in the cytokine and autophagy pathways.

Interestingly, other genes were also differentially expressed in pathways affecting actin, the cytoskeleton, and contraction. Indeed, we found upregulated genes involved in the troponin-tropomyosin complex, a key regulator of muscle contraction through calcium binding. We also found downregulated genes involved in the formation and stabilization of actin bundles at sarcomere Z discs and in mechanical signaling.

These findings indicate that PACS patients with prominent muscular symptoms do not exhibit overt neuromuscular involvement on standard investigations but may show subtle myopathic or dysimmune changes and central metabolic alterations. At the transcriptomic level, the data show an impact on key pathways involved in contraction. The overlap with ME/CFS highlights the importance of careful differential diagnosis and suggests a complex pathophysiology beyond a basic muscle disease.

Source: Gianmarco Severa, Rakel Altabe-Mellul, Alessio Rotini, Peggy Lafuste, Sarah Souvannanorath, Edoardo Malfatti, Emmanuel Itti, Hakim Ahmed-Belkacem, Fred Relaix, Francois Jerome Authier, 3.14P Evidence for transcriptomic changes impacting muscle contraction in patients with post-acute COVID-19 syndrome, Neuromuscular Disorders, Volume 67, Supplement 1, 2026, 106984, ISSN 0960-8966, https://doi.org/10.1016/j.nmd.2026.106984. https://www.sciencedirect.com/science/article/abs/pii/S0960896626006528

FreeSurfer-based amygdala subfield volumetry in long COVID and ME/CFS: clinical and immunological correlations

Abstract:

Background: Long COVID and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) share debilitating symptoms and have been associated with limbic-system dysfunction. We investigated amygdala subfield volumes to identify disease-specific neuroanatomical features and their clinical and immunological correlates.

Methods: We prospectively examined 27 patients with long COVID, 38 patients with ME/CFS, and 47 healthy controls (HCs). Amygdala subfields were segmented using high-resolution 3-T MRI and FreeSurfer software. Group comparisons were performed using analysis of covariance, and partial correlations with clinical and immunological indices, including autoantibodies, plasmablasts, regulatory T cells (Tregs), and Eomesodermin-positive helper T cells (Eomes+ Th cells), were assessed.

Results: Patients with long COVID had nominally larger right cortical nucleus volumes than HCs (raw p = 0.040; Bonferroni-adjusted p = 0.119), whereas patients with ME/CFS had a nominally larger left paralaminar nucleus (raw p = 0.048; Bonferroni-adjusted p = 0.145). In long COVID, G-protein-coupled receptor (GPCR) autoantibodies were nominally negatively associated with right medial nucleus volume. In ME/CFS, performance status was nominally positively associated with the right basal nucleus, right paralaminar nucleus, and right whole amygdala, and plasmablasts were nominally positively associated with the right corticoamygdaloid transition area. No group difference or partial correlation remained significant after correction for multiple testing.

Conclusion: Although no finding survived correction for multiple testing, the exploratory results suggest that amygdala-related structural variation may be relevant to both long COVID and ME/CFS. The nominal, uncorrected within-group patterns centered on olfactory-related amygdala nuclei and GPCR autoantibodies in long COVID, and on amygdala structure, functional severity, and plasmablasts in ME/CFS; however, these patterns do not support a conclusion of between-group differences. These observations are hypothesis-generating and do not establish disease-specific mechanisms. Prespecified validation in larger longitudinal and independent cohorts is required.

Source: Kimura Y, Sato W, Shigemoto Y, Kagaya R, Hayakawa A, Kumazawa Y, Shin I, Amano K, Yamamura T, Sato N. FreeSurfer-based amygdala subfield volumetry in long COVID and ME/CFS: clinical and immunological correlations. Front Neurol. 2026 Sep 16;17:1913553. doi: 10.3389/fneur.2026.1913553. PMID: 42819213; PMCID: PMC13623709. https://pmc.ncbi.nlm.nih.gov/articles/PMC13623709/ (Full text)

Persistent symptom burden in long-standing systemic lupus erythematosus: a subgroup-focused hypothesis for an SLE-ME/CFS research phenotype

Abstract:

Background: Despite improved control of inflammatory disease activity in systemic lupus erythematosus (SLE), many patients experience persistent fatigue, impaired physical function, cognitive symptoms, sleep disturbance, and reduced exercise tolerance, including during remission. These symptoms are multifactorial and may not be adequately explained by conventional measures of inflammatory activity. Clinical and biological parallels with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) suggest that interacting immune, metabolic, vascular, and autonomic mechanisms may contribute to persistent symptom burden in a subgroup of patients with long-standing SLE.

Objective: To develop a subgroup-focused, non-linear, and testable framework for persistent symptoms in SLE by integrating established SLE evidence with carefully distinguished mechanistic insights from ME/CFS research.

Methods: This Commentary is based on a targeted, non-systematic literature synthesis of publications identified in PubMed and Web of Science. Evidence was categorized as direct SLE evidence, evidence from ME/CFS, or cross-condition mechanistic inference. Priority was given to human studies, systematic reviews, meta-analyses, and translational research addressing persistent symptoms, autonomic and endothelial dysfunction, mitochondrial and redox alterations, and neurocognitive manifestations.

Results: We propose a hypothesized SLE-ME/CFS research phenotype characterized by persistent, functionally limiting symptoms despite low inflammatory disease activity or remission. The phenotype includes fatigue lasting at least six months together with post-exertional symptom exacerbation, unrefreshing sleep, cognitive symptoms, and/or orthostatic intolerance, following structured exclusion or assessment of alternative explanations and comorbidities. Direct SLE evidence supports the relevance of residual immune activation, oxidative stress, mitochondrial alterations, endothelial dysfunction, and dysautonomia. Findings from ME/CFS further suggest potentially convergent mechanisms involving impaired cellular energetics, autonomic dysfunction, altered cerebral perfusion, and neuroimmune dysregulation. However, these cross-condition inferences require direct validation in SLE.

Conclusions: Persistent symptom burden in long-standing SLE may reflect a biologically distinct subgroup in which immune, autonomic, vascular, metabolic, and neurocognitive mechanisms interact dynamically. The proposed framework does not define a new diagnostic entity or fixed disease trajectory but provides a hypothesis-generating basis for prospective longitudinal studies. Multidimensional phenotyping may improve patient stratification, biomarker discovery, and supportive care for patients whose symptoms remain disproportionate to conventional measures of disease activity.

Source: Habermann-Horstmeier L. Persistent symptom burden in long-standing systemic lupus erythematosus: a subgroup-focused hypothesis for an SLE-ME/CFS research phenotype. J Transl Med. 2026 Sep 25;24(1):1215. doi: 10.1186/s12967-026-08867-8. PMID: 42806386. https://link.springer.com/article/10.1186/s12967-026-08867-8 (Full text)

High Frequency of HHV-7 Reactivation in Neurological and Neuropsychiatric Long COVID: A Retrospective Observational Study

Abstract:

The neurological and neuropsychiatric manifestations of long COVID remain incompletely understood. Reactivation of latent herpesviruses has been proposed as a contributing mechanism, but human herpesvirus 7 (HHV-7) has received limited attention despite its neurotropic potential. We conducted a retrospective analysis of HHV-7 polymerase chain reaction (PCR) results in 30 patients (18 women and 12 men; age range, 21-55 years) with a neurological/neuropsychiatric long COVID phenotype tested within 24 months of SARS-CoV-2 infection at R.E.D. Laboratories SA, Belgium.

HHV-7 positivity was compared with a historical pre-COVID-19 laboratory reference cohort comprising 320 diagnostic tests performed from 2012 to 2019. HHV-7 positivity was 29.1% (93/320; 95% CI, 24.4-34.3%) in the historical reference cohort and 76.7% (23/30; 95% CI, 59.1-88.2%) in the neurological/neuropsychiatric long COVID cohort. The between-cohort difference was significant using a two-sided Fisher’s exact test (p < 0.000001). All six patients tested within the first 12 months were HHV-7-positive. HHV-7-positive patients frequently reported neuropsychiatric symptoms, and in one longitudinal index case, viral load tracked self-reported symptom severity.

In this patient-initiated retrospective study, HHV-7 positivity was substantially more frequent in the long COVID cohort than in the historical reference cohort. These findings are hypothesis-generating and support prospective investigation of HHV-7 in neurological and neuropsychiatric long COVID.

Source: Ducret D, Mijatovic T. High Frequency of HHV-7 Reactivation in Neurological and Neuropsychiatric Long COVID: A Retrospective Observational Study. Viruses. 2026 Sep 20;18(9):1043. doi: 10.3390/v18091043. PMID: 42797874. https://www.mdpi.com/1999-4915/18/9/1043 (Full text)

Knowing or not knowing: the practical and moral complexity of diagnostic-seeking pathways in situations of medical uncertainty

Abstract:

In this paper, we discuss the practical and moral complexities of diagnostic-seeking pathways for three uncertain medical conditions: fibromyalgia, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and long COVID. We analyse qualitative data collected in the UK between 2023 and 2025, comprising in-depth interviews with medical professionals, researchers, and patients, as well as documentary sources.

Drawing on the anthropology and sociology of diagnosis, this paper discusses how chronic illness can be marked by challenging and unstable pathways, influenced by the organisation of the medical system and the resources patients have to navigate it. Diagnoses further do not guarantee a solution to the condition, and can, on the other hand, produce stigma. Medical professionals recognise the uncertain nature of these conditions and emphasise how diagnosis can play an instrumental role in providing patients with access to therapies, benefits, or acceptance. Patients discuss the complexity of the strategies they deploy not only to obtain a diagnosis but also to navigate the practical and moral complexities associated with their condition.

Analysing the practical and moral complexity of diagnostic-seeking pathways represents a way to enrich anthropological reflections on diagnosis by demonstrating how this key concept of biomedicine is strongly influenced by social, economic, and moral, as well as biological, factors.

Source: Greco C, Cross S. Knowing or not knowing: the practical and moral complexity of diagnostic-seeking pathways in situations of medical uncertainty. Anthropol Med. 2026 Sep 25:1-16. doi: 10.1080/13648470.2026.2709278. Epub ahead of print. PMID: 42788232. https://www.tandfonline.com/doi/full/10.1080/13648470.2026.2709278 (Full text)

DNA methylation: unifying framework for complex chronic conditions

Abstract:

Complex chronic conditions represent a growing health burden that is poorly understood and inadequately managed within current health systems. This review focuses on the potential of epigenetic DNA methylation to provide a pathway for better understanding of four closely related conditions: myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), long COVID (LC), fibromyalgia (FM), and hypermobile Ehlers-Danlos syndrome (hEDS).

These conditions have extensive overlapping symptoms, suggesting shared underlying pathophysiological mechanisms. Epigenetic regulation, particularly DNA methylation, provides a powerful framework for comparative and longitudinal studies across these clinically overlapping conditions.

Here, we synthesise evidence from current DNA methylation studies in ME/CFS, LC, and FM, and consider how an integrated cross-condition approach could advance mechanistic insight, enable diagnostic stratification, and improve patient outcomes.

Source: Sharma S, Rodger EJ, Chatterjee A, Tate WP. DNA methylation: unifying framework for complex chronic conditions. Trends Genet. 2026 Sep 24:S0168-9525(26)00221-0. doi: 10.1016/j.tig.2026.09.001. Epub ahead of print. PMID: 42786072. https://www.cell.com/trends/genetics/fulltext/S0168-9525(26)00221-0 (Full text)

When do infections lead to long COVID? Scientists close in on triggers and treatments for post-viral syndromes

In 2004, Amy Proal got an infection that changed her life. “I was in my pre-med, last year of college, and totally tanked,” she says. “No one could tell me what it was, everybody said my blood work was fine — sent to a psychiatrist, the usual story.” She started reading papers from her sickbed and soon realized that she wasn’t the only one with unexplained symptoms that lingered after an infection.

A year later, she was diagnosed with ME/CFS (myalgic encephalomyelitis/chronic fatigue syndrome). She managed to improve her symptoms with antivirals and other drugs, and went on to do a PhD in microbiology, studying the lasting consequences of pathogens. In 2018, she co-founded PolyBio, a foundation in Medford, Massachusetts, that advances research on infection-associated chronic illnesses. “Then,” Proal says, “COVID hit.”

Read the rest of this Nature article HERE.

Beyond genes: EpiSwitch® and Orion platform-powered 3D genome architecture biomarkers reveal shared biology across ME/CFS, long COVID, PTSD, rheumatoid arthritis, and multiple sclerosis

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), Long COVID (LC19), post-traumatic stress disorder (PTSD), rheumatoid arthritis (RA), and multiple sclerosis (MS) are clinically distinct disorders that share substantial symptom overlap, including persistent fatigue, cognitive impairment, autonomic dysfunction, and immune dysregulation. Although these conditions differ in diagnosis and clinical presentation, their underlying biological mechanisms remain poorly understood and may involve convergent regulatory pathways.

Methods: The EpiSwitch® 3D genomics platform and Orion knowledgebase were used to integrate chromosome conformation signatures with genome-wide association study (GWAS)-derived datasets across ME/CFS, LC19, PTSD, RA, and MS. Three-dimensional genomic anchors were mapped to coding genes and analysed using STRING protein-protein interaction networks and Cytoscape-based systems biology approaches. Disease-specific anchor datasets were generated and compared at both gene and network levels to identify shared biological processes and regulatory mechanisms.

Results: Analysis of the ME/CFS dataset identified 552 unique 3D genomic anchors mapped to 567 genes, with analogous disease-specific anchor sets generated for LC19, PTSD, RA, and MS. Direct overlap between disease-associated genes was limited; however, higher-order network analyses revealed substantial interconnectivity and convergence across conditions. Shared biological pathways included immune and cytokine signalling, interferon responses, mitochondrial function, metabolic regulation, and neuroendocrine processes. Highly connected hub genes included immune regulatory nodes such as LAG3 and components of the mTOR signalling pathway, implicating T-cell exhaustion, chronic immune activation, and immunometabolic dysregulation as common mechanisms underlying these disorders.

Conclusions: These findings support a systems-level model in which clinically overlapping fatigue-associated syndromes arise from perturbations of interconnected regulatory networks rather than discrete disease-specific pathways. Despite limited genetic overlap, substantial convergence at the network level suggests shared biological architecture across ME/CFS, LC19, PTSD, RA, and MS. The identification of common regulatory pathways provides a mechanistic framework for the development of cross-disease diagnostic and therapeutic strategies. By capturing dynamic regulatory states, 3D genomic biomarkers offer significant potential for objective blood-based diagnostics, patient stratification, and the identification of shared therapeutic targets across complex chronic disorders. These findings support the application of precision medicine approaches and may accelerate the development of novel interventions for fatigue-associated multisystem diseases.

Source: Hunter E, Alshaker H, Vugrinec D, Bautista S, Gebregzabhar A, Virdi A, Croxford J, Dring A, Powell R, Salter M, Kingdon C, Green J, Akoulitchev A, Pchejetski D. Beyond genes: EpiSwitch® and Orion platform-powered 3D genome architecture biomarkers reveal shared biology across ME/CFS, long COVID, PTSD, rheumatoid arthritis, and multiple sclerosis. J Transl Med. 2026 Aug 22;24(1):1134. doi: 10.1186/s12967-026-08874-9. PMID: 42693463. https://link.springer.com/article/10.1186/s12967-026-08874-9 (Full text)

Impact of post-exertional malaise frequency and fatigue in Long COVID patients on health-related quality of lif

Abstract:

Purpose: The aim of this study was to investigate the impact of post-exertional malaise (PEM) frequency and PEM severity on health-related quality of life (HRQoL) among individuals with Long COVID.

Methods: We conducted a cross-sectional online survey including adults in Germany with self-reported Long COVID and PEM. Fatigue severity was assessed with the Fatigue Assessment Scale (FAS), and HRQoL was measured using the EQ-5D-3L (descriptive index and visual analogue scale [EQ-VAS]). Associations between PEM frequency, fatigue, and HRQoL were examined using correlations and non-parametric group comparisons. Multiple linear regression models were fitted to predict HRQoL while controlling for age, sex, employment status, and subjective social status.

Results: Higher PEM frequency was associated with significantly lower EQ-5D index scores (ρ = – 0.32, p<.001). PEM severity was also strongly correlated with reduced HRQoL (EQ-5D index: ρ = – 0.43, p<.001). In multivariable regression models, greater fatigue and higher PEM frequency independently predicted poorer HRQoL, even after adjustment for sociodemographic factors.

Conclusion: Both PEM frequency and PEM severity substantially impair HRQoL in individuals with Long COVID. These findings underscore the clinical relevance of PEM as a key symptom and highlight the need for targeted management strategies to mitigate its impact on daily life.

Clinical trial number: German Clinical Trials Register DRKS00026007; registration date: 9 September 2021.

Source: Thölking T, Müller F, Riester T, Lampe V, Theil LM, Hummers E, Sarpari K, Dopfer-Jablonka A, Happle C, Steffens S, Meier-Maiwald M, Mikuteit M, Schröder D. Impact of post-exertional malaise frequency and fatigue in Long COVID patients on health-related quality of life. Health Qual Life Outcomes. 2026 May 11;24(1):64. doi: 10.1186/s12955-026-02523-x. PMID: 42116095; PMCID: PMC13162394. https://pmc.ncbi.nlm.nih.gov/articles/PMC13162394/ (Full text)

Targeting Bioenergetic, Redox and Prostaglandin Pathways in Long COVID-Associated Post-Exertional Malaise and Brain Fog: A Nutraceutical Translational Hypothesis

Abstract:

Post-exertional malaise (PEM) and cognitive dysfunction (hereafter “cognitive dysfunction”, including the patient-reported syndrome often described as “brain fog”) are among the most disabling features of Long COVID; yet, approved disease-modifying treatments remain lacking. Emerging evidence implicates interacting disturbances in mitochondrial bioenergetics, redox regulation and neurovascular inflammation, although much of the supporting evidence remains indirect and derives from acute COVID-19, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), primary mitochondrial disease, inflammatory biology and mechanistic pharmacology rather than from direct Long COVID intervention trials.

This hypothesis-generating narrative review develops a mechanism-based translational framework: that a pathway-targeted nutraceutical programme may modulate selected elements of these three axes, subject to prior demonstration of formulation quality, pharmacokinetic feasibility, target engagement and safety. Candidate modules comprise coenzyme Q10 and alpha-lipoic acid for bioenergetic/redox support; selenium, sulforaphane and resveratrol for Nrf2-thioredoxin-related redox regulation; and Boswellia serrata, luteolin and eicosapentaenoic acid for putative prostaglandin/resolution-pathway modulation. Sonlicromanol provides a conceptual mechanistic precedent for combined redox and prostaglandin-directed pharmacology, but it is not considered pharmacologically equivalent to an eight-agent nutraceutical combination.

We summarise the mechanistic rationale, distinguish direct from indirect evidence, define qualitative evidence-grading criteria, outline safety and interaction considerations, and propose a staged translational research programme. This framework is intended to generate falsifiable hypotheses for future Long COVID studies, not to imply established clinical efficacy.

Source: Praet SFE. Targeting Bioenergetic, Redox and Prostaglandin Pathways in Long COVID-Associated Post-Exertional Malaise and Brain Fog: A Nutraceutical Translational Hypothesis. Nutrients. 2026 Aug 13;18(16):2650. doi: 10.3390/nu18162650. PMID: 42654231. https://www.mdpi.com/2072-6643/18/16/2650 (Full text)