Tag: pathophysiology

Fibromyalgia, Chronic Fatigue Syndrome, and Multiple Sclerosis are associated with lower translocator protein binding affinity genotypes

Abstract:

Introduction: Neuroinflammation is a known pathophysiologic mechanism in multiple sclerosis and a proposed mechanism in fibromyalgia and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Positron Emission Tomography (PET) imaging of the translocator protein (TSPO) has been widely used to measure neuroinflammation, though second-generation ligands are highly sensitive to a single nucleotide polymorphism, rs6971, resulting in high, mixed, and low affinity binders. It is unknown whether this polymorphism is associated with neuroinflammatory disorders.

Materials and methods: Eighty-six total participant genotypes for TSPO binding affinity were identified through Sanger sequencing (30 fibromyalgia, 21 ME/CFS, 11 multiple sclerosis, and 24 healthy controls). Associations between patient group and genotype were assessed with Fisher’s Exact test. Associations between genotype and symptom severity from self-report questionnaires were assessed with Kruskal-Wallis tests.

Results: In the present study individuals with fibromyalgia, (ME/CFS), or multiple sclerosis were more likely to have a mixed- or low-affinity genotypes compared to healthy controls. Presence of the low or mixed genotypes were also associated with greater self-reported fatigue severity and depressive symptoms.

Discussion: These findings should be confirmed in larger samples but suggest functional consequences of rs6971 polymorphism that may be related to the pathophysiology of pain and fatigue illnesses.

Source: Jones C, Younger J. Fibromyalgia, Chronic Fatigue Syndrome, and Multiple Sclerosis are associated with lower translocator protein binding affinity genotypes. medRxiv [Preprint]. 2026 Oct 21:2026.10.19.26365953. doi: 10.64898/2026.10.19.26365953. PMID: 42996068; PMCID: PMC13738865. https://pmc.ncbi.nlm.nih.gov/articles/PMC13738865/ (Full text)

Post-acute infection: before we forget it again

Abstract:

Long COVID did not invent the post-acute phase of infection; it made it impossible to ignore. Acute infections are still often framed as time-limited events that end in recovery, deterioration or death, but this view fails to capture patients who remain biologically and clinically unwell after the acute infection has passed. The problem extends beyond SARS-CoV-2. Post-acute morbidity has been described after influenza, Epstein-Barr virus infection, Q fever, sepsis, and other infections, yet definitions, coding systems, and clinical pathways remain fragmented.

We argue that post-acute infection should not be organized only by the initiating pathogen. Such pathogen-centric labels may be clinically tidy, but they risk producing heterogeneous cohorts, diluted biomarker signals, and disease-specific silos that obscure shared mechanisms of incomplete recovery. Instead, the field needs a second axis: the host-recovery state.

Persistent inflammation, immune remodelling, loss of tolerance, antigenic stimulation, endothelial dysfunction, mitochondrial impairment, and tissue injury may represent overlapping immunometabolic failure modes across infections. Defining these states over time could help transform post-acute infection from a residual clinical label into a mechanism-informed framework for research, biomarkers, and care.

Source: Madsen HB, Desler C. Post-acute infection: before we forget it again. Clin Exp Immunol. 2026 Jan 6;220(1):uxag061. doi: 10.1093/cei/uxag061. PMID: 42931812; PMCID: PMC13701074. https://pmc.ncbi.nlm.nih.gov/articles/PMC13701074/ (Full text)

The Glymphatic–Meningeal Lymphatic System and Autophagy in ME/CFS and Long COVID: A Mechanistic Perspective

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and Post-Acute Sequelae of SARS-CoV-2 infection (Long COVID) are complex multisystem disorders affecting 60–400 million individuals globally. They are considered post-infectious illnesses and share similar biological mechanisms, including immune dysregulation, orthostatic intolerance and cognitive dysfunction, highlighting a substantial overlap between the two conditions. Persistent fatigue, sleep dysfunction, post-exertional malaise and brain fog are among some of their most common and debilitating symptoms.
Despite extensive research, they remain incurable, with no effective treatments, or simple diagnostic tests. They are increasingly understood as heterogeneous, multisystem diseases, involving neurological symptoms, with varying severities and diverse underlying biological abnormalities. More recently, the possibility of glymphatic dysfunction and autophagy impairment have been proposed as parts of the mechanistic features of the pathophysiology of these conditions, which are discussed more fully in the present perspective.
With the glymphatic and meningeal lymphatic systems being operationally integrated, we will try to delineate how the metabolic waste removal mechanism afforded by this system may work together with autophagy to maintain brain homeostasis. We will provide some of the established mechanistic features of toxicity of misfolded proteins, explore their role in causing glymphatic dysfunction and impairing autophagy, and discuss the potential for therapeutic interventions.
Source: Nemat-Gorgani M, Jensen MA, Davis RW. The Glymphatic–Meningeal Lymphatic System and Autophagy in ME/CFS and Long COVID: A Mechanistic Perspective. International Journal of Molecular Sciences. 2026; 27(20):9351. https://doi.org/10.3390/ijms27209351 https://www.mdpi.com/1422-0067/27/20/9351 (Full text)

Comprehensive review of myalgic encephalomyelitis/chronic fatigue syndrome

Abstract:

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex, debilitating disease that is unexplained and is characterised by persistent unexplained fatigue, Post Exertional Malaise (PEM), cognitive impairment, unrefreshing sleep and multisystem impairment. Despite the high burden of symptoms and the worldwide prevalence, ME/CFS has been poorly understood, underdiagnosed and underfunded. This large-scale review summarises the available evidence regarding the epidemiology, diagnostic progress, main clinical characteristics, pathophysiological theories and therapeutic approaches for ME/CFS.

Despite problems with diagnostic consistency, the lack of validated biomarkers, and historical linkage to psychiatric illness, the recognition of this condition has been delayed and has led to patient marginalisation. The review highlights PEM as a cardinal symptom and reviews the weaknesses in earlier diagnostic criteria, as well as current changes in treatment guidelines, including the formal withdrawal of Graded Exercise Therapy, which has evidence of harm.

New pathophysiological evidence suggests mitochondrial dysfunction, immune dysregulation, autonomic imbalance, neuroinflammation, and alterations in gut microbiome. New diagnostic and therapeutic strategies, such as metabolomic and electrophysiological assays, mTOR inhibitors, and decentralised clinical trial designs, are being studied. This intersection with Long COVID offers a chance to rapidly advance studies of post-infectious chronic diseases. The paper also argues for stringent subtyping, uniform data collection, and ongoing patient participation in research as strategies to surmount challenges of heterogeneity.

Finally, it underscores the critical need for fair funding of research, so biomarker discovery and development of disease-modifying treatments can be achieved. The care of people with ME/CFS is not only a clinical obligation, but also a public health one.

Source: Jeyaraman, M., Jeyaraman, N., Ramasubramanian, S. et al. Comprehensive review of myalgic encephalomyelitis/chronic fatigue syndrome. J Transl Med (2026). https://doi.org/10.1186/s12967-026-08833-4 https://link.springer.com/article/10.1186/s12967-026-08833-4 (Full text)

Muscle symptoms and a latent physiological symptom-dysregulation factor in ME/CFS: exploratory analyses by sex and age-defined menopausal-status proxy group

Abstract:

Background: Muscle-related symptoms are among the most disabling manifestations of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), yet their position within the broader symptom architecture of the disease remains unclear. We hypothesized that muscle symptoms may represent a candidate integrative symptom within a broader shared symptom-dysregulation structure and their symptom associations differ according to sex and menopausal status.

Methods: Cross-sectional data from 736 individuals with physician-diagnosed ME/CFS enrolled in the APAV-ME/CFS registry were analysed. Muscle problems served as the primary outcome variable. Associations with 14 symptom domains were examined using multivariable logistic regression. Pearson and tetrachoric correlations, exploratory factor analysis, and structural equation modeling (SEM) were used to identify latent symptom structures. Exploratory analyses were stratified by sex, menopausal status, and disease duration.

Results: In the full multivariable model (non-robust estimates), breathing problems (OR 2.49 [95% Conf. Interval: 1.42-4.38], p = 0.001), flu-like symptoms (OR 1.97 [1.14-3.42], p = 0.015), and temperature-regulation disorders (OR 1.97 [1.10-3.51], p = 0.021) independently predicted muscle problems. A reduced physiological model (not-robust estimates) additionally identified cardiovascular symptoms (OR 1.87 [1.09-3.24], p = 0.024) as a significant predictor. Tetrachoric correlations demonstrated substantial latent associations between muscle problems and breathing difficulties (ρ = 0.52), cardiovascular symptoms (ρ = 0.49), temperature-regulation disorders (ρ = 0.49), visual disturbances (ρ = 0.39), and flu-like symptoms (ρ = 0.39). Factor analysis and SEM supported a single latent physiological dysregulation factor with good model fit (RMSEA = 0.046, CFI = 0.971, TLI = 0.952, SRMR = 0.026).

The sex-stratified analyses revealed differences in the pattern of statistically significant symptom associations across the subgroups. However, the overall test of the symptom-by-sex interaction terms did not provide evidence for a statistically established difference in the symptom associations by sex. Thus, the subgroup-specific patterns should primarily be interpreted as descriptive and exploratory. At the individual symptom level, the association between breathing-related symptoms and muscle problems showed a statistically significant interaction with sex, suggesting that this association may differ between women and men. However, this finding should be interpreted cautiously given the non-significant overall interaction test and the wide confidence interval of the interaction estimate.

In women, all five physiological symptoms independently predicted muscle problems, whereas in men only breathing problems and temperature-regulation disorders remained significant. Women classified as premenopausal and postmenopausal based on an age-defined proxy showed different patterns of symptom associations with muscle problems in subgroup-specific analyses. Women in the premenopausal age-proxy group showed significant associations with cardiovascular symptoms, visual disturbances, and temperature-regulation disorders, whereas women classified as postmenopausal showed significant associations with breathing difficulties and flu-like symptoms. However, the overall menopausal-by-symptom interaction was not statistically significant (Wald χ2 (5)=5.96, p = 0.310).

The specified latent physiological factor showed statistical comparability across the cross-sectional disease-duration groups. Gastrointestinal complaints loaded substantially on the latent factor despite lacking an independent association with muscle problems in multivariable regression. Urogenital symptoms also showed a smaller but significant association with the latent factor and substantial item-specific variance.

Conclusions: Muscle symptoms may represent a candidate integrative symptom within a latent physiological symptom-dysregulation factor encompassing respiratory, cardiovascular, thermoregulatory, visual, and flu-like symptoms in this ME/CFS sample. Secondary analyses suggested that gastrointestinal complaints were also part of the broader physiological symptom pattern, although they were not independently associated with muscle problems. The specified latent physiological factor showed no overall statistical evidence of measurement differences across the cross-sectional disease-duration groups. However, subgroup-specific symptom patterns differed descriptively by sex and age-defined menopausal-status proxy group.

Women classified as premenopausal were characterized primarily by cardiovascular, visual, and thermoregulatory symptom associations, whereas women classified as postmenopausal and men showed greater prominence of breathing-related symptoms. Flu-like symptoms were independently associated with muscle problems in the postmenopausal subgroup but not in the premenopausal subgroup. Because the corresponding interaction term was not statistically significant, this subgroup contrast should be interpreted as an exploratory difference in association rather than as evidence of a menopause-specific effect. More broadly, the findings are compatible with the hypothesis that the latent symptom-dysregulation factor may reflect a chronic PEM-associated multisystem response.

Whether this symptom-dysregulation factor corresponds to interacting autonomic, vascular, immunological, and metabolic processes remains to be determined by longitudinal and biomarker-based studies. ME/CFS phenotyping may improve patient stratification and facilitate the development of mechanism-based therapeutic approaches.

Source: Habermann-Horstmeier L, Horstmeier LM. Muscle symptoms and a latent physiological symptom-dysregulation factor in ME/CFS: exploratory analyses by sex and age-defined menopausal-status proxy group. J Transl Med. 2026 Sep 28;24(1):1216. doi: 10.1186/s12967-026-09018-9. PMID: 42806383. https://link.springer.com/article/10.1186/s12967-026-09018-9 (Full text)

Postural orthostatic tachycardia syndrome in adolescents with ME/CFS – a case control study

Abstract:

Introduction: Postural orthostatic tachycardia syndrome (PoTS) can be associated with myalgic encephalomyelitis/ chronic fatigue syndrome (ME/CFS). Pediatric PoTS requires a “sustained” rise in orthostatic heart rate ≥40 bpm above supine heart rate (relative limit), often >120 bpm (absolute limit). However, the diagnostic criteria for PoTS in adolescents remain underexplored, particularly regarding the definition of “sustained” tachycardia, which poses challenges in clinical and research settings. This study examined orthostatic intolerance criteria, including PoTS, in adolescents with ME/CFS and healthy controls.

Methods: Medical history of orthostatic intolerance was assessed by a semi-structured interview with 18 ME/CFS patients and 18 matched healthy controls (14-17 years). A passive 10-min standing test with minute-by-minute heart rate and blood pressure registration was performed. PoTS was diagnosed by a clinical expert based on current consensus criteria. Data were analyzed using Fisher’s exact test and receiver operating characteristic analysis.

Results: Although history of orthostatic intolerance was positive in 15/18 ME/CFS [83%, 0.95 CI (61; 94)] and 3/18 healthy controls [17%, 0.95 CI (5.9; 39)], PoTS was diagnosed in only 7/18 ME/CFS [39%, 0.95 CI (20; 61)] vs. no healthy controls [0%, 0.95 CI (0; 18)]. Subgroups were identified, e.g., positive history of orthostatic intolerance yet physiological passive 10-min standing test, or negative history of orthostatic intolerance yet tachycardia in passive 10-minute standing test. PoTS diagnosis by the clinical expert matched best with the passive 10-min standing test alone when at least 60% of upright heart rate values were above one or both limits. The absolute limit was superior to the relative limit in distinguishing adolescents with and without PoTS.

Discussion: PoTS was observed only in ME/CFS. In adolescents with ME/CFS, positive history of orthostatic intolerance, along with at least 60% of heart rate values above published upright-position limits, may allow non-experts to make a valid diagnosis, facilitating clinical care and future studies. Further research will show if these results can be generalized.

Source: Leone A, Gerrer K, Viereck A, Grabbe A, Kircher A, Behrends U, Maier A. Postural orthostatic tachycardia syndrome in adolescents with ME/CFS – a case control study. Front Pediatr. 2026 Sep 1;14:1836407. doi: 10.3389/fped.2026.1836407. PMID: 42746015; PMCID: PMC13574936. https://pmc.ncbi.nlm.nih.gov/articles/PMC13574936/ (Full text)

Skeletal muscle properties in long COVID and ME/CFS differ from those induced by bed rest

Abstract:

Patients with long COVID and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) suffer from post-exertional malaise. The accompanying physical inactivity may contribute to a lower aerobic capacity and may explain skeletal muscle adaptations in these patients. Here, we compare whole-body exercise responses and skeletal muscle adaptations after strict 60-day bed rest in healthy people with those in long COVID and ME/CFS patients, and healthy age- and sex-matched controls.

Bed rest alters respiratory and cardiovascular responses to maximal exercise, which are dissimilar in patients. Bed rest causes muscle atrophy without altering fiber type. Both patient groups have more glycolytic fibers, and ME/CFS patients display type I-specific atrophy. Only after bed rest is oxidative phosphorylation capacity associated with maximal oxygen uptake.

As skeletal muscle characteristics differ between patients and healthy individuals after bed rest, physical inactivity cannot solely explain the lower exercise capacity and skeletal muscle adaptations in long COVID and ME/CFS patients.

Source: Charlton BT, Slaghekke A, Appelman B, Eggelbusch M, Huijts JY, Noort W, Hendrickse PW, Bloemers FW, Posthuma JJ, van Amstel P, Goulding RP, Degens H, Jaspers RT, van Vugt M, Wüst RCI. Skeletal muscle properties in long COVID and ME/CFS differ from those induced by bed rest. Nat Commun. 2026 Jul 28;17(1):9125. doi: 10.1038/s41467-026-75725-y. PMID: 42649155. https://www.nature.com/articles/s41467-026-75725-y (Full text)

Circulating extracellular vesicles-microRNAs as potential biomarkers for the identification of ME/CFS: differentiating fatigue-related conditions

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating, multi-systemic condition that has gained renewed global attention due to its clinical overlap with the growing population of long COVID patients. Despite ongoing efforts to characterize the disease, definitive diagnostic molecular markers are yet to be fully established, posing challenges in clinically differentiating from idiopathic chronic fatigue (ICF) and depression (Dep). This study aimed to identify circulating extracellular vesicles (EVs)-associated microRNAs (miRNAs) that serve as both diagnostic signatures and windows into the disease’s underlying pathophysiology.

Methods: Circulating EVs from ME/CFS (n = 6), ICF (n = 6), and depression (n = 8) patients were analyzed using flow cytometry, nano-tracking analysis, and comprehensive miRNA analysis. Differentially expressed miRNAs were analyzed using KEGG pathway enrichment to identify ME/CFS-specific signatures. Key candidate biomarkers were further validated in an additional healthy control (HC) cohort (n = 4).

Results: ME/CFS-EVs exhibited a unique subpopulation with high calcein intensity and larger diameters. Initial global miRNA profiling (Volcano plot) identified miR-21-5p, let-7f-5p, miR-26b-5p, and miR-20a-5p as significantly dysregulated EV-miRNAs in ME/CFS compared to ICF and Dep. To explore systemic pathophysiology, we identified a 114 EV-miRNA signature that achieved 87.0 ± 4.8% sensitivity and 93.7 ± 2.4% specificity within repeated cross-validation of the discovery cohort. After adjusting for covariates, 91 miRNAs remained significant; pathway analysis of the 62 up-regulated EV-miRNAs revealed significant enrichment in neuro-systemic axes, encompassing cellular structural integrity (focal adhesion), core signaling hubs (PI3K-Akt), and systemic homeostasis (such as insulin signaling and endocrine functions). Preliminary evaluation confirmed that these target EV-miRNAs remained at minimal or undetectable levels in the HC group.

Conclusions: A 62 EV-miRNA signature provides insight into the interconnected neuro-systemic pathways disrupted in ME/CFS, particularly those governing neuronal connectivity and cellular scaffolding. Within this candidate EV-miRNA signature, the top-ranked miRNAs-miR-21-5p, let-7f-5p, miR-26b-5p, and miR-20a-5p-emerge as potential candidate biomarkers whose specific elevation was not shared by HC. These findings establish a valuable framework for targeted diagnosis and enhance our understanding of the molecular pathways involved in synaptic and structural alterations in ME/CFS.

Source: Eguchi A, Kuratsune H, Nakatomi Y, Yasui T, Nakagawa R, Watanabe Y, Fukuda S. Circulating extracellular vesicles-microRNAs as potential biomarkers for the identification of ME/CFS: differentiating fatigue-related conditions. J Transl Med. 2026 Jul 27;24(1):979. doi: 10.1186/s12967-026-08695-w. PMID: 42533331. https://link.springer.com/article/10.1186/s12967-026-08695-w (Full text)

Metabolomic Classification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome via Explainable Ensemble Learning and Pareto-Guided Feature Selection

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating multisystem illness characterised by post-exertional malaise, non-restorative sleep, and cognitive impairment, yet no objective diagnostic biomarkers have been established. Untargeted plasma metabolomics provides a broad view of the biochemical disturbances underlying ME/CFS; however, the high dimensionality of omics datasets and the limited interpretability of conventional classifiers nevertheless hinder translation into clinical practice. This study evaluates three ensemble classifiers-Explainable Boosting Machine (EBM), XGBoost, and LightGBM-for binary ME/CFS classification using plasma metabolomic and lipidomic profiles from 197 participants (106 ME/CFS; 91 healthy controls; 888 features).

Feature dimensionality was reduced using a Pareto-Guided Recursive Neural Network (PRNN) pipeline. Model performance was assessed via 50-repeat stratified hold-out validation. EBM achieved the highest accuracy (0.909; 95% CI: 0.868-0.949) and area under the receiver operating characteristic curve (AUC: 0.940; 95% CI: 0.909-0.983), with XGBoost and LightGBM performing comparably. Interpretability analyses revealed that pairwise metabolite interaction terms-particularly proline & indole-3-lactate, tyrosine & N-acetylornithine, and maleic acid & arachidic acid-contributed the greatest discriminative signal.

An ablation analysis comparing the full interaction-augmented EBM (AUC = 0.940) with a main-effects-only EBM (AUC = 0.882) confirmed that pairwise metabolite co-variation contributes additional discriminative value beyond individual metabolite levels, implicating amino acid catabolism, tryptophan-kynurenine pathway dysregulation, mitochondrial energy impairment, and lipid remodelling as central pathophysiological features. Global and instance-level explanations jointly demonstrated population-level metabolic signatures alongside individual heterogeneity, highlighting the added clinical value of explainable artificial intelligence (XAI) in metabolomics.

These findings support EBM-based metabolomic profiling as an internally validated approach for ME/CFS classification, subject to external validation, calibration assessment, and prospective testing.

Source: Yagin FH, Korkmaz Y, Colak C, Alzakari SA, Alkhalifa AK, Al-Hashem F, Aghaei M. Metabolomic Classification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome via Explainable Ensemble Learning and Pareto-Guided Feature Selection. Int J Mol Sci. 2026 Jun 30;27(13):5920. doi: 10.3390/ijms27135920. PMID: 42450188. https://www.mdpi.com/1422-0067/27/13/5920 (Full text)

Disrupted glymphatic function and its relationship with sleep and cognitive impairment in ME/CFS assessed via DTI-ALPS

Abstract:

The glymphatic system is a recently discovered brain waste clearance system that is mostly active during sleep and disengaged during wakefulness. Impaired glymphatic function leads to the deposition of metabolic waste products in the brain potentially causing inflammation leading to various symptoms in ME/CFS. While the glymphatic function has been assessed in other neurodegenerative diseases using ‘diffusion tensor imaging along the perivascular space’ (DTI-ALPS), it has not been studied in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).

This preliminary study investigates glymphatic function in 58 participants (ME/CFS = 31 and healthy controls = 27) using the DTI-ALPS index derived from DTI data acquired with 3 T MRI. The bilateral hemispheric DTI-ALPS index was estimated to assess glymphatic function, and an asymmetry index was calculated to determine interhemispheric asymmetry in glymphatic function.

We found that the global DTI-ALPS index was significantly lower in ME/CFS patients compared to healthy controls (ME/CFS: 1.44 ± 0.086; healthy controls: 1.51 ± 0.11, p = 0.014), indicating reduced glymphatic function in ME/CFS. Examining the hemispheres separately, showed the right hemisphere DTI-ALPS index was lower in ME/CFS than healthy controls (ME/CFS = 1.41 ± 0.097; healthy controls = 1.49 ± 0.12; p = 0.009) but not different on the left. Additionally, we did not find any significant difference in asymmetry index between ME/CFS and healthy controls. We observed an association between the global DTI-ALPS index and severity of ‘sleep disturbance’ (p = 0.013, r = -0.47) and “impaired concentration” (p = 0.026, r = -0.43).

This study demonstrated impaired glymphatic function in ME/CFS which may lead to symptoms such as cognitive dysfunction and sleep disturbance experienced by ME/CFS.

Source: Thapaliya K, Marshall-Gradisnik S, Inderyas M, Barnden L. Disrupted glymphatic function and its relationship with sleep and cognitive impairment in ME/CFS assessed via DTI-ALPS. Front Neurosci. 2026 Jun 19;20:1875420. doi: 10.3389/fnins.2026.1875420. PMID: 42403482; PMCID: PMC13329448. https://pmc.ncbi.nlm.nih.gov/articles/PMC13329448/ (Full text)