Tag: 2026

Proteomic signatures in cerebrospinal fluid and their clinical associations in patients with ME/CFS

Abstract:

This study evaluated the cerebrospinal fluid (CSF) proteomes from 31 patients diagnosed with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). We quantified 902 proteins, each expressed in at least eleven samples, and systematically categorized clinical factors relevant to ME/CFS symptoms-including autonomic dysfunction, neuroinflammation and metabolic disturbances.

Differentially expressed protein and pathway analyses evaluated protein features associated with both postural orthostatic tachycardia syndrome (POTS) status and disease severity among the patients, while ratio-based analysis further explored associations with severity ratings.

Data are available via ProteomeXchange with identifier PXD076216. Neutrophil degranulation and platelet activation were enriched in patients with POTS, and several pathways, such as the complement cascade, coagulation-related pathways and IGFBP‑mediated insulin-like growth factor transport, were enriched in severe cases. Ratio-based analysis identified four biologically interpretable severity-associated protein ratios related to cellular stress, extracellular remodelling and immune-neuronal interaction.

Together, these findings provide insight into the biological processes associated with clinical heterogeneity in ME/CFS and generate hypotheses for future validation in larger independent cohorts.

Source: Bragée B, Li P, Meadows D, Widgren A, Sjögren P, Ghatan PH, Bertilson BC, Xiao W, Bergquist J. Proteomic signatures in cerebrospinal fluid and their clinical associations in patients with ME/CFS. Sci Rep. 2026 Apr 3. doi: 10.1038/s41598-026-46965-1. Epub ahead of print. PMID: 41932997.  https://www.nature.com/articles/s41598-026-46965-1 (Full text available as PDF file)

The Role of ME/CFS Phenotype in Outpatient Post-COVID Rehabilitation

Abstract:

Post-COVID-19 syndrome (PCS) shares core clinical features with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), particularly persistent fatigue and post-exertional malaise (PEM). However, the prevalence of ME/CFS among PCS rehabilitation outpatients remains unclear.

Medical records of 216 PCS rehabilitation outpatients (57% female; age 47.7±12.5; January 2021 to April 2022) were retrospectively reviewed. During rehabilitation and at a six-month telephone follow-up, ME/CFS was diagnosed using the Canadian Consensus Criteria (CCC). Demographics, body mass index (BMI), FAS, and 6MWT were compared between phenotype and non-phenotype groups using logistic regression, repeated measures ANOVA, and chi-square tests (α=0.05). Of 216 patients, 15 (93% female; age 40.6±10.7; BMI 25.7±5.6) met ME/CFS criteria, yielding a prevalence of 6.9%.

Compared with non-ME/CFS phenotype, ME/CFS phenotype patients were significantly younger (p=0.01) and predominantly female (p=0.003). Baseline FAS was significantly higher (35.8±6.4 vs. 27.8±8.6, p=0.001) and did not improve (Δ +1.3±4.5 vs. Δ -5.1±6.2, p<0.001). Baseline 6MWT was significantly lower (479±132 m vs. 540±96.1 m, p=0.02) and both groups improved over time, but between-group change was not significant (p=0.49).

Approximately 7% of PCS in outpatient rehabilitation exhibit ME/CFS, characterized by severe, persistent fatigue, female predominance, and attenuated functional gains. While the FAS is a practical screening tool, confirmation via CCC remains essential. Future studies should validate these findings and explore tailored rehabilitation strategies for patients with ME/CFS.

Source: Kaiserseder M, Prüfer F, Untersmayer-Elsenhuber E, Zwick RH. Welche Rolle spielt der ME/CFS-Phänotyp in einer ambulanten Post-COVID-Rehabilitation? [The Role of ME/CFS Phenotype in Outpatient Post-COVID Rehabilitation]. Pneumologie. 2026 Mar 30. German. doi: 10.1055/a-2823-6976. Epub ahead of print. PMID: 41911688. https://pubmed.ncbi.nlm.nih.gov/41911688/ (Full text available in German)

Long COVID disability burden in US adults

Abstract:

Background: Five years since the scientific and patient communities first identified the syndrome now known as Long COVID, affected individuals lack treatments, and the US lacks population-based data on its disability burden and correlation with National Institutes of Health (NIH) funding. Moreover, akin to other debilitating conditions it often co-occurs with, e.g., Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and dysautonomia, Long COVID disproportionately impacts females whose concerns are often marginalized.

Methods: We quantify Long COVID years lived with disability (YLDs= prevalence x disability weight) in US adults and its actual/YLD-commensurate average annual NIH FY2022-2024 funding versus 68 comparator conditions, by sex predominance. We derive Long COVID prevalence from Census Bureau surveys (9/2022-8/2023) and apply disability weights from the Global Burden of Disease Study.

Results: Long COVID YLDs approximate those of Alzheimer’s and Asthma. Long COVID received 14% of its disability commensurate funding: $106 million vs. $739.8 million. ME/CFS is the most under-funded condition, receiving <1% of its YLD proportionate funding. Among conditions analyzed, 24 are female-predominant (we estimate Long COVID funding two ways), 12 male-predominant, and 33 show no sex predominance. Among the 12 below-median funded/above-median YLD conditions, 7/12 are female-predominant, none are male-predominant. Median funding/per YLD is 5.2 times higher for male- vs. female-predominant conditions (7.0 vs 1.3 million per YLD, p = 0.007). Overall, YLDs explain 6.5% of funding variance in a linear regression model using YLD as the sole predictor (Adjusted R-squared: 0.065).

Conclusions: With chronic conditions like Long COVID rising, disability burden merits greater consideration in funding decisions, as does biological sex.

Source: Bonuck K, Gao Q, Congdon S, Kim RS. Long COVID disability burden in US adults. Commun Med (Lond). 2026 Mar 31;6(1):177. doi: 10.1038/s43856-026-01516-7. PMID: 41917225. https://www.nature.com/articles/s43856-026-01516-7 (Full text)

Assessment and Incidence Determination of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Following a SARS-CoV-2 Infection in a Prospective Cohort of Hospital Employees

Abstract:

Background and Objectives: Post-COVID-19 syndrome (PCS), characterized by persistent fatigue, can develop after a SARS-CoV-2 infection. Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic, post-infectious condition marked by severe fatigue and post-exertional malaise. This study aimed to determine the incidence and characteristics of PCS and ME/CFS in a cohort of hospital employees (HEs) with SARS-CoV-2 infections.

Materials and Methods: All HEs who tested SARS-CoV-2-positive between March 2020 and May 2021 who later reported persistent fatigue were invited for an assessment from July to December 2022. Canadian Consensus Criteria were used for the diagnosis of ME/CFS. Assessments included the Montreal Cognitive Assessment (MoCA), and determination of coagulation factors, Epstein-Barr virus (EBV) antibodies and autoantibodies (AABs) against G-protein-coupled receptors (GPCRs).

Results: Of the 221 HEs, 11.8% (95% confidence interval (CI95%) 7.8-16.8, 26/221) still reported persistent fatigue and 3.2% (CI95% 1.3-6.4, 7/221) were diagnosed with ME/CFS. In total, 19 HEs (median age 51.0 years, 89.4% female, 63.1% possible or confirmed nosocomial infection) participated in our assessment. In 42.1% (8/19) MoCA results were below normal. Laboratory values showed increased GPCR AABs in 66.6% (12/18), possible EBV reactivation in 86.7% (13/15) and coagulation parameters suggesting inflammatory processes in 38.9% (7/18).

Conclusions: Our study was able to determine lower-bound incidences of PCS with fatigue and ME/CFS and demonstrated a diagnostic pathway for HEs following SARS-CoV-2 infections. Possible EBV reactivation, increased GPCR AABs and potential coagulation cascade activation may play a pathogenic role.

Source: Tack M, Gruber R, Betting L, Herbrandt S, Wu S, Schlößer B, Häussermann P, Maegele M, Schlang G, Mattner F. Assessment and Incidence Determination of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Following a SARS-CoV-2 Infection in a Prospective Cohort of Hospital Employees. Medicina (Kaunas). 2026 Mar 3;62(3):480. doi: 10.3390/medicina62030480. PMID: 41901562. https://www.mdpi.com/1648-9144/62/3/480 (Full study)

Expert perspectives on Myalgic encephalomyelitis/chronic fatigue syndrome – Insights from the 3rd International Conference of the Charité Fatigue Center

Abstract

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex, multisystemic disorder mostly triggered by viral infections, with core symptoms including post-exertional malaise (PEM), fatigue, pain, and cognitive dysfunction. Its prevalence has increased significantly in the context of the coronavirus disease 2019 (COVID-19) pandemic. Despite its severity and impact on patients’ quality of life, ME/CFS remains poorly understood.

On May 12 and 13, 2025, the 3rd International Conference hosted by the Charité Fatigue Center brought together nearly 200 researchers from various disciplines on-site, and around 3,700 participants online to discuss recent advances in ME/CFS research, diagnostics, clinical care, and therapeutic trials. The program featured 33 lectures by international experts on key topics such as post-COVID syndrome (PCS), care structures, and pathophysiological mechanisms including cardiovascular dysregulation, immune dysregulation, autoimmune mechanisms, and metabolic dysfunction.

In addition, results from clinical trials addressing disease mechanisms, including those specifically targeting autoantibodies, were presented. While public awareness and funding opportunities have increased in the wake of the pandemic and the emergence of PCS, ME/CFS remains severely underresearched. Sustained and adequately funded research efforts are urgently required to advance understanding, identify diagnostic markers, and develop targeted therapeutic interventions.

Source: Fehrer A, Windzio L, Schoening S, Steiner S, Aschenbrenner AC, Babel N, Behrends U, Bellmann-Strobl J, Cammà G, Cash A, Doehner W, den Dunnen J, Fluge Ø, Franke C, Hoffmann K, Kedor C, Kim L, Löhden W, Mella O, Mihatsch LL, Peluso MJ, Puta C, Putrino D, Ramoji A, Sato W, Sawitzki B, Schlieper G, Schoenfeld Y, Seifert M, Sigurdsson F, Slaghekke A, Sommerfelt K, Sotzny F, Stein E, Steinacker JM, Stingl M, Systrom DM, Tronstad KJ, Wirth K, Wörmann B, Wüst RCI, Yamamura T, Scheibenbogen C. Expert perspectives on Myalgic encephalomyelitis/chronic fatigue syndrome – Insights from the 3rd International Conference of the Charité Fatigue Center. Autoimmun Rev. 2026 Mar 25:104043. doi: 10.1016/j.autrev.2026.104043. Epub ahead of print. PMID: 41895458. https://www.sciencedirect.com/science/article/pii/S1568997226000571 (Full text)

Putting the PASC score to the test: Clinical vs. statistical accuracy in long COVID diagnosis

Abstract:

Objective: To validate the RECOVER Post-Acute Sequelae of SARS-CoV-2 infection (PASC) score in a cohort of patients who develop long COVID (LC) or fully recover while iteratively improving the tool’s sensitivity and specificity.

Methods: A cross-sectional study in 130 LC patients followed at LC clinics in Baltimore, MD, USA, who met the National Academies of Sciences, Engineering, and Medicine (NASEM) 2024 LC definition, and 60 SARS-CoV-2 exposed but fully recovered individuals. LC participants were required to have at least one neuropsychiatric symptom. Participants completed comprehensive surveys and questionnaires assessing symptoms based on published methods to determine PASC score. Using the NASEM 2024 LC definition as the “true” condition, we compared evaluation metrics for the RECOVER PASC score cutoff (PASC > 12) and the presence of individual/multiple symptoms. Evaluation metrics (e.g., sensitivity, specificity, F1) were calculated based on these classifications for the overall PASC score and symptom combinations.

Results: The LC cohort (n = 130) had a mean age of 47.2 years and was predominantly female (72%), White (79%), and well-educated (77% > 16 years). Controls (n = 60) were similar demographically. LC diagnosis and PASC scores were significantly associated (χ2 = 102.99, P < 0.001). The PASC score showed excellent specificity (100%) and positive predictive value (PPV; 100%) albeit limited sensitivity (80%), missing 20% of participants with LC. We found that loss of smell/taste, post-exertional malaise, or lack of sexual desire or capacity demonstrated 94% sensitivity, 92% specificity, and 96% PPV, 87% NPV, and an F1 score of 0.949.

Conclusion: Validation of the RECOVER PASC supports its utility and highlights the need for ongoing refinement of the LC definition. We call for national efforts to develop readily implementable clinical tools for LC diagnosis.

Source: Azola A, Dastgheyb RM, Easter R, Parker H, Della Penna C, Santiuste I, Schultz H, Ehrenspeck A, Veenhuis R, Rubin LH. Putting the PASC Score to the Test: Clinical vs. Statistical Accuracy in Long COVID Diagnosis. J Gen Intern Med. 2025 Nov 17. doi: 10.1007/s11606-025-10042-6. Epub ahead of print. PMID: 41249654. https://link.springer.com/article/10.1007/s11606-025-10042-6 (Full text)

Postural Orthostatic Tachycardia Syndrome, Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID as Neuroimmune Disorders

Abstract:

Postural orthostatic tachycardia syndrome (POTS), myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and Long COVID are heterogeneous disorders with overlapping complex, multi-factorial and multi-systemic pathophysiology. POTS and ME/CFS are the most common phenotypes of Long COVID that can lead to significant disability and functional impairment.

The exact pathophysiologic mechanisms of these disorders alone or in combination are still being investigated, but important mechanistic factors have been identified, such as autonomic dysfunction, immune dysregulation, autoimmunity, mitochondrial dysfunction, cerebral hypoperfusion, and neuroinflammation.

To this end, we believe that these conditions should be viewed as neuroimmune disorders and should be included in the field of neuroimmunology, with its educational curriculum, training, and clinical care pathways. Including these disorders as part of neuroimmunology subspecialty is the key to advancing the science and clinical care of this underserved patient population with these complex and disabling conditions.

Source: Blitshteyn S, Doherty TA, Steinman L. Postural Orthostatic Tachycardia Syndrome, Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID as Neuroimmune Disorders. Immunotargets Ther. 2026 Feb 2;15:581262. doi: 10.2147/ITT.S581262. PMID: 41859298; PMCID: PMC12998959. https://pmc.ncbi.nlm.nih.gov/articles/PMC12998959/ (Full text)

Incidence age is bimodal for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, with higher severity burden for early onset disease

Abstract:

Myalgic Encephalomyelitis, or Chronic Fatigue Syndrome (ME/CFS), is a disease of uncertain origin. Studies of Norwegian health records have suggested that ME/CFS incidence across age groups is bimodal–a characteristic that could provide insight into the aetiology of the disease. Here, we analysed survey data from over 9,000 respondents with ME/CFS from 10 European countries, and observe an early onset peak with a mean of 16.0 years old (standard deviation [sd]: 4.3) and a late onset peak at 36.6 years old (sd: 10.5).

Statistical support for multimodal onset age was evident in 7 of the 10 countries examined. Infection as a trigger for ME/CFS is 10 percentage points higher among early compared to late onset disease (P = 2.1 × 10−13). Early onset ME/CFS was associated with greater odds of being severely or very severely affected (OR = 2.15, 95% CI [1.84—2.51], p < 2 × 10−16). Those with first degree relatives with ME/CFS had greater odds of early than late onset ME/CFS (OR = 1.43, 95% CI [1.25—1.63], P = 4.4 × 10−07). We further validated our findings in a UK dataset where we replicated bimodal onset age and observed significantly greater odds of glandular fever/infectious mononucleosis as a trigger in early onset cases (OR = 2.32, 95% CI [1.99—2.71], P = 2.4 × 10−24).

Our findings suggest that incidence of ME/CFS peaks in adolescence and in early middle-age and that early onset ME/CFS is more common in those with affected relatives, more often triggered by infection, and associated with more severe disease.

Source: Simon J Mcgrath, Charles B Hillier, Joshua J Dibble, Trude Schei, Arild Angelsen, Audrey A Ryback, Incidence age is bimodal for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, with higher severity burden for early onset disease, Oxford Open Immunology, 2026;, iqag007, https://doi.org/10.1093/oxfimm/iqag007 https://academic.oup.com/ooim/advance-article/doi/10.1093/oxfimm/iqag007/8527015

Evidence of White Matter Neuroinflammation in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: A Diffusion-Based Neuroinflammation Imaging Study

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disorder with suspected neuroinflammatory pathophysiology. However, previous diffusion tensor imaging (DTI) studies have reported inconsistent white matter abnormalities in ME/CFS, and specific white matter inflammatory changes remain poorly characterised. This study employed an advanced diffusion-based neuroinflammation imaging (NII) model to investigate white matter neuroinflammation in ME/CFS.

Diffusion MRI data from 67 ME/CFS patients (median age, 38; and 54 women) and 67 rigorously matched healthy controls (HCs) (median age 38; and 52 women) were analysed. Seven NII-derived metrics were computed: hindered water ratio (NII-HR), restricted fraction (NII-RF), fibre fraction (NII-FF), axial diffusivity (NII-AD), radial diffusivity (NII-RD), mean diffusivity (NII-MD) and fractional anisotropy (NII-FA). Conventional DTI metrics were also calculated. Tract-based spatial statistics were used to perform voxel-wise group comparisons, and multiple regression analysis was conducted to examine the relationship between NII/DTI metrics and clinical measures of mental health, physical health, sleep quality, disability, disease severity and disease duration.

Compared to HCs, ME/CFS patients exhibited widespread white matter abnormalities, including significantly lower NII-HR and NII-RF, and significantly higher NII-FF, NII-AD, NII-MD and NII-FA across association, commissural and projection fibres. Additionally, some regions showed decreased NII-AD and NII-MD in ME/CFS. Lower NII-RF, NII-AD and NII-MD in ME/CFS were significantly associated with worse mental health, while lower NII-RF was also associated with a higher level of disability. Among ME/CFS patients, higher NII-FF was associated with lower disease severity. Conventional DTI showed minimal group differences and no significant clinical associations.

This study provides in vivo evidence of white matter neuroinflammation in ME/CFS, characterised by cerebral edema (reduced NII-HR), cellular infiltration (reduced NII-RF) and axonal reorganisation (increased NII-FF). This suggests NII-derived indices may serve as sensitive biomarkers for neuroinflammation in ME/CFS.

Source: Yu, Q., K.Kothe, R. A.Kwiatek, et al. 2026. “Evidence of White Matter Neuroinflammation in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: A Diffusion-Based Neuroinflammation Imaging Study.” Human Brain Mapping47, no. 4: e70505. https://doi.org/10.1002/hbm.70505. https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.70505 (Full text)

Prevalence of Post-COVID Symptoms Across Variants of Concern and Follow-up Periods: A Systematic Review and Meta-Analysis

Abstract:

Objectives: The interaction between SARS-CoV-2 variants of concern (VoC) and post-COVID symptom duration remains unexplored. This is the first study to evaluate post-COVID prevalence stratified by VoC and follow-up periods.

Methods: Six databases were searched (12/2019-12/2024) for studies of adults with laboratory-confirmed SARS-CoV-2 and symptoms lasting ≥3 months. Data were stratified by VoC (Alpha through Omicron) and follow-up (<6 vs. ≥6 months) to estimate pooled prevalence using random-effects models.

Results: Pooled prevalence across 35 studies (n=159,000) was 28.5% (95% CI: 21.6-36.0), higher in pre-Omicron (35.5%) than Omicron (22.8%) eras (p=0.04). Symptoms persisted beyond six months in 29.9% of cases. Fatigue was the most prevalent symptom across all VoCs and follow-ups followed by brain fog, dyspnea, and sleep impairment. Pre-Omicron variants were linked to dyspnea and anosmia, while Omicron was associated with brain fog and paresthesia. Most symptoms showed no significant reduction beyond six months. Sleep problems were higher in early pre-Omicron cohorts but improved over time; conversely, palpitations and ocular manifestations increased in later pre-Omicron follow-ups.

Conclusions: Post-COVID condition remains a burden despite vaccination. Distinct symptomatology patterns across VoC and timelines highlight the need for tailored management strategies to mitigate long-term global impacts.

Source: Lugtu EJ, Iv DYP, Cabunoc MH, Bautista JL, Pleta FM, Ng JA, Shahid F, Carandang THDC, Lippi G, Henry BM, Fernández-de-Las-Peñas C, Notarte KI. Prevalence of Post-COVID Symptoms Across Variants of Concern and Follow-up Periods: A Systematic Review and Meta-Analysis. Int J Infect Dis. 2026 Mar 10:108522. doi: 10.1016/j.ijid.2026.108522. Epub ahead of print. PMID: 41819160. https://www.ijidonline.com/article/S1201-9712(26)00157-8/fulltext (Full text)