pathophysiology – American ME and CFS Society

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)

Exploring differences in protein cargo of extracellular vesicles from ME/CFS patient plasma compared to healthy controls

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic and debilitating disease characterized by post-exertional malaise, fatigue and pain. Yet, its underlying biological mechanisms remain poorly understood. Extracellular vesicles (EVs) are nanoparticles carrying biological cargo and are involved in cell-cell communication. Plasma EVs reflect several disease states and may serve as minimally invasive biomarkers. In this exploratory study, we characterized the plasma EV profiles of ME/CFS patients (N = 49) and healthy controls (N = 50), by enriching for EVs by size-exclusion chromatography coupled to high-resolution quantitative proteomics.

The ME/CFS patients had significantly higher concentrations of EVs than healthy controls. Among the 424 detected proteins included for analyses, 11 had different levels in EVs from ME/CFS patients. The ME/CFS associated EV proteins appear to mainly originate from erythroid cells, hepatocytes and plasma B cells, based on their tissue expression. Albeit differences in EV protein levels did not withstand correction for multiple testing, our study is the largest to date, thereby encouraging future investigations on the role of EV and its cargo in ME/CFS.

Source: Rydland A, Yran ES, Nyman TA, Strand EB, Trøseid AS, Øvstebø R, Heinicke F, Lie BA, Viken MK. Exploring differences in protein cargo of extracellular vesicles from ME/CFS patient plasma compared to healthy controls. Biochem Biophys Rep. 2026 Jun 20;47:102679. doi: 10.1016/j.bbrep.2026.102679. PMID: 42375682; PMCID: PMC13312568. https://pmc.ncbi.nlm.nih.gov/articles/PMC13312568/ (Full text)

Tryptophan Metabolism and Aryl-Hydrocarbon Receptor Agonists in the Gut Microbiome of People With Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic disease with unknown biological basis and no cure. Microbiome dysbiosis has been reported in people with ME/CFS but its relevance to pathophysiology is unknown. Gut microbes are an important source of tryptophan metabolites that activate the aryl hydrocarbon receptor (AHR), a regulator of homeostatic and inflammatory genes. Dysregulated activation of AHR contributes to pathophysiology of several neuroimmune and chronic diseases but its role in ME/CFS has not been investigated. The purpose of this study was to investigate the production of tryptophan metabolites and AHR agonists by gut microbes of people with ME/CFS.

We found lower diversity and altered microbiome community structure in people with ME/CFS and changes in the subcommunity of microbes that correlated with tryptophan metabolites. Using targeted metabolomics we identified nine metabolites elevated in the stool of people with ME/CFS, including three AHR agonists. Stool ex vivo cultures were tested for their capacity to activate AHR in a reporter cell line and by qPCR. AHR activation did not differ between people with ME/CFS and controls, however, we detected elevated agonist activity in people with neurocognitive symptoms, regardless of underlying disease.

These findings are consistent with previous work revealing changes in the gut microbiome of people with ME/CFS and adds further support to alterations in tryptophan metabolism associated with the disease. Altered AHR activity by gut microbial metabolites may be a common mechanism contributing to neurocognitive symptoms in diseases including ME/CFS.

Source: Esteban DJ, Conrad B, Cullinan A, Luong S, Albaum J, Wilk V. Tryptophan Metabolism and Aryl-Hydrocarbon Receptor Agonists in the Gut Microbiome of People With Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. Microbiologyopen. 2026 Jun;15(3):e70333. doi: 10.1002/mbo3.70333. PMID: 42325052. https://onlinelibrary.wiley.com/doi/10.1002/mbo3.70333 (Full text)

Systems neuroendocrinology in ME/CFS and long COVID: a chronobiological framework for hormone-based research

Abstract:

Hormonal dysregulation is increasingly reported in ME/CFS and Long COVID, yet the broader role of neuroendocrine disruption in these conditions remains underexplored. While changes in steroid, peptide, and neuropeptide hormones have been identified, these findings are often considered in isolation and without attention to their timing or integration within broader physiological systems. The hypothalamic-pituitary axes regulate endocrine, immune, autonomic, nervous, and metabolic functions, systems commonly affected in both conditions, yet their circadian and menstrual dynamics are rarely investigated.

In this review, we examine the evidence for neuroendocrine dysfunction in ME/CFS and Long COVID, focusing on hormone output, functional assays, receptor expression, and the coordination of endocrine biorhythms. Sex hormone signalling emerges as a key area of vulnerability, particularly given the female predominance in both conditions and the complexity of reproductive hormone regulation.

We argue that accurate hormone measurement and time-structured sampling, including circadian and menstrual rhythms, are essential for detecting meaningful biological differences. By embedding chronobiology-aware, dense-sampling strategies and integrating multi-omic analyses into multi-system study designs, we outline a framework for investigating dynamic endocrine mechanisms underlying symptom variability and multisystem dysfunction, which may ultimately support the development of more targeted, personalised interventions.

Source: Thomas N, Huang K, Schneider-Futschik EK, Pollack B, Tal MC, Fineberg D, Wang X, Gurvich C, Pretorius R, Bergquist J, Armstrong CW. Systems neuroendocrinology in ME/CFS and long COVID: a chronobiological framework for hormone-based research. Front Neuroendocrinol. 2026 Jun 19:101268. doi: 10.1016/j.yfrne.2026.101268. Epub ahead of print. PMID: 42320559. https://www.sciencedirect.com/science/article/abs/pii/S0091302226000385 (Full text)

Irisin Signaling Resistance in Myalgic Encephalomyelitis: A Proposed Mechanistic Framework for Post-Exertional Malaise Involving the TSP-1-HSP90α-αvβ5 Axis

Abstract:

Myalgic Encephalomyelitis (ME) is a chronic, multisystem disease characterized by systemic metabolic dysfunction and post-exertional malaise (PEM). In this study, we investigated the dysregulation of irisin, an exercise-induced myokine, and its potential antagonism by thrombospondin-1 (TSP-1).

In a cross-sectional study (92 ME patients vs. 44 sedentary healthy controls), plasma irisin and TSP-1 levels were measured at baseline and after a 90 min mechanical stress challenge applied to induce PEM. ME patients exhibited significantly lower baseline irisin (p < 0.05) and a blunted exertional response (p < 0.05). Paradoxically, baseline irisin was an independent predictor of fatigue severity (β = 0.728, p = 0.018), with moderate-to-severe patients showing elevated levels of both irisin and TSP-1 (p < 0.05), suggesting a compensatory but ineffective response. Functional cellular dielectric spectroscopy indicated that TSP-1 inhibits irisin signaling in a concentration-dependent manner. Irisin signaling was markedly reduced by both αvβ5 blockade and HSP90α inhibition in this experimental system, consistent with a diminished ability to counteract TSP-1.

Collectively, these findings support a model in which dysregulation of the irisin-TSP-1 axis contributes to metabolic dysfunction in ME. Elevated circulating TSP-1 levels are associated with symptom severity and are linked to impaired irisin signaling in an HSP90α- and αvβ5-dependent context. This interaction is consistent with defective metabolic adaptation and highlights a potential therapeutic target that warrants further validation to restore energy homeostasis.

Source: Souma B, Elremaly W, Akoume MY, Elbakry M, Godbout C, Moreau A. Irisin Signaling Resistance in Myalgic Encephalomyelitis: A Proposed Mechanistic Framework for Post-Exertional Malaise Involving the TSP-1-HSP90α-αvβ5 Axis. Int J Mol Sci. 2026 May 26;27(11):4770. doi: 10.3390/ijms27114770. PMID: 42278300. https://www.mdpi.com/1422-0067/27/11/4770 (Full text)

Dynamic microclot profiling: thromboelastography advances precision management in long COVID and myalgic encephalomyelitis/chronic fatigue syndrome

Abstract:

Long COVID and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) share overlapping symptoms, and emerging evidence implicates persistent fibrinoid microclots in their pathophysiology, contributing to impaired microcirculation. This review explores the role of microclots and evaluates thromboelastography (TEG) as a potential diagnostic tool.

A comprehensive literature review was conducted using major biomedical databases. Studies indicate microclots are prevalent in both conditions. Long COVID patients demonstrate a TEG profile of increased clot strength (maximum amplitude) and reduced fibrinolysis (LY30), suggesting a persistent hypercoagulable state. Despite its advantages in real-time assessment, TEG interpretation faces challenges from preanalytical variability and a lack of standardized protocols. Promising therapeutic trials, including anticoagulants (e.g., apixaban) and fibrinolytics (e.g., lumbrokinase), require further validation. Technological advancements like AI-driven TEG analysis and portable devices could improve diagnostic precision.

In conclusion, persistent microclots are a key pathophysiological feature. TEG provides a promising, novel approach for detecting coagulation abnormalities and could guide treatment, but requires standardization in future clinical trials. Future research should integrate multiomics biomarkers for precision therapeutics to improve patient outcomes.

Source: Saleem S, Hussain A, Haroon M, Raza A, Afzal U, Anwar MF, Imran S, Iqbal MU, Hajj F. Dynamic microclot profiling: thromboelastography advances precision management in long COVID and myalgic encephalomyelitis/chronic fatigue syndrome. Blood Coagul Fibrinolysis. 2026 Jun 11. doi: 10.1097/MBC.0000000000001439. Epub ahead of print. PMID: 42274123. https://pubmed.ncbi.nlm.nih.gov/42274123/

Deficient TRPM3-linked mitochondrial Ca2+ influx in natural killer cells associated with myalgic encephalomyelitis/chronic fatigue syndrome

Abstract:

Introduction: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a multisystemic illness, commonly associated with dysregulation of the immune system including reduced cytotoxicity of natural killer (NK) cells and post-exertional neuroimmune exhaustion. Previously, transient receptor potential melastatin 3 (TRPM3) ion channel impairment associated with reduced Ca²⁺ mobilisation in NK cells from ME/CFS patients was reported. To further explore the pathomechanisms involved in ME/CFS, we investigated the downstream impact of TRPM3 ion channel dysfunction on mitochondrial Ca²⁺ mobilisation in NK cells.

Method: Fluorescence live-cell imaging was used to investigate Ca²⁺ mobilisation in NK cells of (N = 10) ME/CFS, classified using Canadian Consensus Criteria, and (N = 10) healthy control (HC) participants. Cytoplasmic and mitochondrial Ca²⁺ entry was determined using Fluo-8 AM and Rhod-2 AM Ca²⁺ indicators, respectively. The effect of TRPM3 modulation on Ca²⁺ mobilisation ex vivo, was examined using pregnenolone sulfate and ononetin to activate and inhibit the channel, respectively.

Results: Cytosolic Ca²⁺ influx amplitude and slope were significantly reduced (p < 0.001), with a significantly shorter T_1/2 response (p = 0.001) in ME/CFS compared to HC. Ca²⁺ influx amplitude (p < 0.001) and slope (p < 0.041) into the mitochondria were significantly higher in ME/CFS compared to HC. TRPM3 activation triggered pronounced cytosolic response (P < 0.001) accompanied by mitochondrial Ca²⁺ increase in HC. TRPM3-dependent cytosolic and mitochondrial Ca²⁺ mobilisation (P < 0.015) were significantly reduced with a shorter T_1/2 response (p < 0.02) in ME/CFS compared to HC.

Conclusion: The results demonstrate that altered TRPM3-mediated cytosolic Ca²⁺ influx may significantly impact Ca²⁺ mobilisation into the mitochondria of people with ME/CFS. Alterations that interfere with the optimal function of Ca²⁺ permeable channels may cumulatively impact downstream signalling, leading to detrimental cellular consequences. Collectively these findings provide an avenue for further studies on the physiological functions of TRPM3 ion channel and its role in ME/CFS.

Source: Magawa CT, Eaton-Fitch N, Muraki K, Marshall-Gradisnik S. Deficient TRPM3-linked mitochondrial Ca²⁺ influx in natural killer cells associated with myalgic encephalomyelitis/chronic fatigue syndrome. BMC Immunol. 2026 May 23. doi: 10.1186/s12865-026-00849-1. Epub ahead of print. PMID: 42177403. https://link.springer.com/article/10.1186/s12865-026-00849-1 (Full text)

3D Virtual Reality Performance Metrics as a Future Fatigue Biomarker in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disorder, characterized by symptoms such as post-exertional malaise (PEM) and cognitive impairments. This study assessed reaction time (RT) metrics in three-dimensional (3D) visual tasks with the aim of objectively quantifying the cognitive impairments in ME/CFS patients compared to controls.

Methods: A total of 120 participants (60 ME/CFS patients and 60 controls) were recruited at the Department of Ophthalmology, Universität of Erlangen-Nürnberg. RT was assessed using a virtual reality-oculomotor test system, presenting 3D stimuli at three disparity levels (275″, 550″, and 1100″) within three gaming repetitions (R1, R2, and R3). Mixed-effects models were used to evaluate group differences, with age and gender as covariates. Pairwise contrasts were calculated to assess changes across repetitions. Fatigue self-assessments were recorded by validated questionnaires, (FACIT Fatigue Scale, Chalder Fatigue Scale, Bell Score and Health Assessment Questionnaire), and their correlation with RT metrics was portrayed using a Spearman correlation matrix.

Results: Estimated means (EM-means) for RT were significantly prolonged in ME/CFS patients compared to controls at disparity 275″ (1969 ms vs. 1384 ms; p = 0.0001), 550″ (1409 vs. 1071 ms; p = 0.0012) and 1100″ (1126 ms vs. 891 ms; p = 0.00223). Age was a significant covariate (p < 0.001), while gender showed no effect. Both groups demonstrated improvements in RT over repetitions; however, ME/CFS patients showed a significantly lower improvement compared to controls, reaching significance in R3 (p = 0.0042). RT metrics did not correlate with patients’ self-assessment scores.

Conclusions: ME/CFS patients showed consistently slower RTs compared to controls, particularly in later, easier gaming repetitions, potentially reflecting the impact of fatigue.

Source: Ladek AM, Priebe L, Harrer T, Harrer E, Michelson G, Knauer TS, Dias-Nunes DX, Mardin CY, Bergua A, Hohberger B. 3D Virtual Reality Performance Metrics as a Future Fatigue Biomarker in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). Biomedicines. 2026 Apr 9;14(4):855. doi: 10.3390/biomedicines14040855. PMID: 42072397. https://www.mdpi.com/2227-9059/14/4/855 (Full text)

Symptom clusters in ME/CFS reflect distinct neuroimmune and autonomic pathophysiological mechanisms: a translational model

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating multisystem disease characterized by heterogeneous symptom patterns. Previous work suggested that specific symptoms tend to co‑occur, pointing toward underlying biological mechanisms. This study aimed to empirically validate literature‑based, hypothesis‑driven symptom clusters and assess whether they reflect distinct neuroimmune and autonomic pathophysiological pathways.

Methods: Symptom data from 748 adults with ME/CFS (≥20 years) participating in the APAV‑ME/CFS study were analyzed. Symptoms were assigned to predefined mechanistic groups informed by current pathophysiological hypotheses. Exploratory and Confirmatory Factor Analyses, followed by Structural Equation Modeling (SEM), evaluated the coherence, distinctiveness, and hierarchical structure of each cluster. Robustness was tested using a stratified, randomized training dataset.

Results: A coherent Brain factor (brain fog, sensory hypersensitivity, visual disturbances, sleep disturbances, headaches) showed excellent fit (RMSEA = 0.021; CFI = 0.996). Gastrointestinal symptoms demonstrated stronger internal consistency than Immune symptoms, and model comparisons supported a two‑factor Gut–Immune structure. Across all analyses, symptom groups emerged as internally consistent and statistically distinct. A higher‑order SEM including a common latent factor yielded excellent fit for the Autonomic symptom complex.

Conclusions: The findings support ME/CFS as a complex neuroimmune–autonomic multisystem disorder and suggest that symptom clusters align with functional biological systems. Mechanism-aligned symptom subgrouping may enable pathophysiology-guided diagnostics, patient stratification, and targeted therapeutic development. The proposed interpretations of underlying mechanisms derive from the integration of existing literature and were not directly measured in this study. The identified clusters therefore indicate mechanistic alignment rather than direct mechanistic validation.

Source: Habermann-Horstmeier L, Horstmeier LM. Symptom clusters in ME/CFS reflect distinct neuroimmune and autonomic pathophysiological mechanisms: a translational model. J Transl Med. 2026 Apr 28;24(1):606. doi: 10.1186/s12967-026-08159-1. PMID: 42050709; PMCID: PMC13126800. https://pmc.ncbi.nlm.nih.gov/articles/PMC13126800/ (Full text)

Regulatory Cycles of Orexin and Glucagon-Like Peptide-1 in Post-Viral Syndromes

Abstract:

Post-viral syndromes are heterogeneous multisystem diseases without a uniform etiology that occur as a result of acute viral infections. During the COVID-19 pandemic, the number of patients increased dramatically due to infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This is known as post-acute sequelae of COVID-19 (PASC), with many cases also meeting the criteria for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), the most severe form of a post-viral disease, characterized by severe fatigue, post-exertional malaise (PEM), unrefreshing sleep, neurocognitive impairment, and autonomic and immune dysregulation.

Orexin (OX) neuropeptides, which regulate arousal, metabolism, and neuroendocrine functions, may serve as a central link between stress, immune activation, and metabolic changes in these syndromes. Notable phenotypic similarities between OX system dysfunction and core features of PASC and ME/CFS, including fatigue, sleep issues, impaired glucose metabolism, and neuropsychiatric symptoms, support a mechanistic model in which impaired OX signaling contributes to post-viral endocrine and metabolic dysfunction.

This review examines the role of OX in regulating glucose metabolism, HPA axis activity, and systemic homeostasis, with a specific focus on sexually dimorphic expression and function in relation to post-viral syndromes. We also highlight the effect of glucagon-like peptide-1 (GLP-1), another key player in metabolism, which also has neuroprotective, anti-inflammatory, vasoprotective, and immunomodulatory effects. We further emphasize emerging therapeutic strategies, such as GLP-1 receptor agonists (GLP-1RAs) and drugs targeting the OX system.

Together, these insights provide an integrated framework for understanding and targeting the neuroendocrine-metabolic underpinnings of PASC, ME/CFS, and other post-viral syndromes.

Source: Ruhrländer J, Schieffer E, Schieffer B. Regulatory Cycles of Orexin and Glucagon-Like Peptide-1 in Post-Viral Syndromes. Endocr Rev. 2026 Apr 27:bnag009. doi: 10.1210/endrev/bnag009. Epub ahead of print. PMID: 42037238. https://pubmed.ncbi.nlm.nih.gov/42037238/