Tag: pathophysiology

Comparing DNA Methylation Landscapes in Peripheral Blood from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID Patients

Abstract:

Post-viral conditions, Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Long COVID (LC), share > 95% of their symptoms, but the connection between disturbances in their underlying molecular biology is unclear. This study investigates DNA methylation patterns in peripheral blood mononuclear cells (PBMC) from patients with ME/CFS, LC, and healthy controls (HC).

Reduced Representation Bisulphite Sequencing (RRBS) was applied to the DNA of age- and sex-matched cohorts: ME/CFS (n = 5), LC (n = 5), and HC (n = 5). The global DNA methylomes of the three cohorts were similar and spread equally across all chromosomes, except the sex chromosomes, but there were distinct minor changes in the exons of the disease cohorts towards more hypermethylation.

A principal component analysis (PCA) analysing significant methylation changes (p < 0.05) separated the ME/CFS, LC, and HC cohorts into three distinct clusters. Analysis with a limit of >10% methylation difference and at p < 0.05 identified 214 Differentially Methylated Fragments (DMF) in ME/CFS, and 429 in LC compared to HC. Of these, 118 DMFs were common to both cohorts. Those in promoters and exons were mainly hypermethylated, with a minority hypomethylated. There were rarer examples with either no change in methylation in ME/CFS but a change in LC, or a methylation change in ME/CFS but in the opposite direction in LC. The differential methylation in a number of fragments was significantly greater in the LC cohort than in the ME/CFS cohort.

Our data reveal a generally shared epigenetic makeup between ME/CFS and LC but with specific, distinct changes. Differences between the two cohorts likely reflect the stage of the disease from onset (LC 1 year vs. ME/CFS 12 years), but specific changes imposed by the SARS-CoV-2 virus in the case of the LC patients cannot be discounted. These findings provide a foundation for further studies with larger cohorts at the same disease stage and for functional analyses to establish clinical relevance.

Source: Peppercorn K, Sharma S, Edgar CD, Stockwell PA, Rodger EJ, Chatterjee A, Tate WP. Comparing DNA Methylation Landscapes in Peripheral Blood from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID Patients. Int J Mol Sci. 2025 Jul 10;26(14):6631. doi: 10.3390/ijms26146631. PMID: 40724879. https://www.mdpi.com/1422-0067/26/14/6631 (Full text)

Steroid dynamics in myalgic encephalomyelitis / chronic fatigue syndrome: a case-control study using ultra performance supercritical fluid chromatography tandem mass spectrometry

Abstract:

Background: Myalgic encephalomyelitis / chronic fatigue syndrome (ME/CFS) is a multisystem disorder characterised by unrelenting fatigue, post-exertional malaise, and dysfunction across immune, nervous, metabolism, and endocrine systems. Given the broad role of steroid hormones in regulating these systems, this study investigated differences in the steroid metabolome and network dynamics between ME/CFS patients and matched controls.

Methods: Blood plasma steroid levels were quantified using Ultra-Performance Supercritical Fluid Chromatography- Tandem Mass Spectrometry (UPSFC-MS/MS) in ME/CFS patients (n = 24) and age and gender matched controls (n = 24). Group comparisons of absolute steroid concentrations were performed using Mann-Whitney U tests. Partial Spearman correlation networks were evaluated to examine direct associations between steroids within each group, and centrality metrics were used to evaluate structural differences. Steroid-steroid ratios were analysed to reflect biochemical relationships. Multivariate analysis with Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) was also conducted.

Results: No significant group differences in absolute steroid concentrations were observed following FDR correction. However, network analysis revealed a marked reduction in direct steroid-steroid relationships in ME/CFS, with controls exhibiting 52 significant partial correlations, while the ME/CFS group retained only one (cortisol – corticosterone). Centrality analysis further revealed a shift in network structure, with cortisone emerging as highly central in ME/CFS (degree = 7, betweenness = 16.7), despite being peripheral in controls, and progesterone showing reduced integration in ME/CFS (degree = 3 vs. 12, eigenvector = 0.40 vs. 0.93). Steroid-steroid ratio analysis revealed a higher cortisol-to-pregnanolone ratio and a lower pregnanolone-to-progesterone ratio in ME/CFS, although these findings did not remain significant after FDR correction. OPLS-DA indicated a modest relationship between steroid levels and group classification (R²Y = 22.8%), but negative Q² values suggested poor predictive power.

Conclusions: Despite no significant differences in absolute steroid levels, network analysis revealed profound disruptions in steroid-steroid relationships in ME/CFS compared to controls, suggesting disrupted steroid homeostasis. Collectively the results suggest dysregulation of HPA axis function and progestogen pathways, as demonstrated by altered partial correlations, centrality profiles, and steroid ratios. These findings illustrate the importance of hormone network dynamics in ME/CFS pathophysiology and underscores the need for more research into steroid metabolism.

Source: Thomas, N., Ubhayasekera, S.J.K.A., Armstrong, C.W. et al. Steroid dynamics in myalgic encephalomyelitis / chronic fatigue syndrome: a case-control study using ultra performance supercritical fluid chromatography tandem mass spectrometry. J Transl Med 23, 829 (2025). https://doi.org/10.1186/s12967-025-06841-4 https://link.springer.com/article/10.1186/s12967-025-06841-4 (Full text)

SMPDL3B a novel biomarker and therapeutic target in myalgic encephalomyelitis

Abstract:

Background: Sphingomyelin phosphodiesterase acid-like 3B (SMPDL3B) is emerging as a potential biomarker and therapeutic target in myalgic encephalomyelitis (ME), a complex multisystem disorder characterized by immune dysfunction, metabolic disturbances, and persistent fatigue. This study investigates the role of SMPDL3B in ME pathophysiology and explores its clinical relevance.

Methods: A case-control study was conducted in two independent cohorts: a Canadian cohort (249 ME patients, 63 controls) and a Norwegian replication cohort (141 ME patients). Plasma and membrane-bound SMPDL3B levels were quantified using ELISA and flow cytometry. Gene expression of SMPDL3B and PLCXD1, encoding phosphatidylinositol-specific phospholipase C (PI-PLC), was analyzed by qPCR. The effects of dipeptidyl peptidase-4 (DPP-4) inhibitors-vildagliptin, saxagliptin, and linagliptin-on modulation of membrane-bound and soluble SMPDL3B were assessed in vitro by qPCR, flow cytometry and ELISA.

Results: ME patients exhibited significantly elevated plasma SMPDL3B levels, which correlated with symptom severity. Flow cytometry revealed a reduction in membrane-bound SMPDL3B in monocytes, accompanied by increased PLCXD1 expression and elevated plasma levels of PI-PLC and SMPDL3B. These findings suggest that immune dysregulation in ME may be linked to enhanced cleavage of membrane-bound SMPDL3B by PI-PLC. Sex-specific differences were observed, with female ME patients displaying higher plasma SMPDL3B levels, an effect influenced by estrogen. In vitro, estradiol upregulated SMPDL3B expression, indicating hormonal regulation. Vildagliptin and saxagliptin were tested for their potential to inhibit PI-PLC activity independently of their role as DPP-4 inhibitors, and restored membrane-bound SMPDL3B while reduced its soluble form.

Conclusions: SMPDL3B emerges as a key biomarker for ME severity and immune dysregulation, with its activity influenced by hormonal and PI-PLC regulation. The ability of vildagliptin and saxagliptin to preserve membrane-bound SMPDL3B and reduce its soluble form via PI-PLC inhibition suggests a novel therapeutic strategy. These findings warrant clinical trials to evaluate their potential in mitigating immune dysfunction and symptom burden in ME.

Note: See Correction: SMPDL3B a novel biomarker and therapeutic target in myalgic encephalomyelitis

Source: Rostami-Afshari B, Elremaly W, Franco A, Elbakry M, Akoume MY, Boufaied I, Moezzi A, Leveau C, Rompré P, Godbout C, Mella O, Fluge Ø, Moreau A. SMPDL3B a novel biomarker and therapeutic target in myalgic encephalomyelitis. J Transl Med. 2025 Jul 7;23(1):748. doi: 10.1186/s12967-025-06829-0. PMID: 40624584; PMCID: PMC12236014. https://pmc.ncbi.nlm.nih.gov/articles/PMC12236014/ (Full text)

The Implications and Predictability of Sleep Reversal for People with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: A Machine Learning Approach

Abstract:

Background/objectives: Impaired sleep is one of the core symptoms of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), yet the mechanisms and impact of sleep-related issues are poorly understood. Sleep dysfunctions for patients with ME/CFS include frequent napping, difficulties falling asleep, waking up early, and sleep reversal patterns (e.g., sleeping throughout the day and staying awake throughout the night). The current study focuses on sleep reversal for patients with ME/CFS.

Methods: We explored the symptoms and functional impairment of those with and without sleep reversal by analyzing the responses of a large international sample (N = 2313) using the DePaul Symptom Questionnaire (DSQ) and Medical Outcomes Study 36-item Short-Form Health Survey (SF-36).

Results: We found that those in our Sleep Reversal group (N = 327) compared to those without sleep reversal (N = 1986) reported higher symptom burden for 53 out of 54 DSQ symptoms and greater impairments for all six SF-36 subscales. The most accurate predictors of sleep reversal included age (p < 0.05), body mass index (p < 0.05), eleven DSQ symptoms (p < 0.01), and two SF-36 subscales (p < 0.01).

Conclusions: These features provide clues regarding some of the possible pathophysiological underpinnings of sleep reversal among those with ME/CFS.

Source: Dietrich MP, Pravin R, Furst J, Jason LA. The Implications and Predictability of Sleep Reversal for People with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: A Machine Learning Approach. Healthcare (Basel). 2025 May 26;13(11):1255. doi: 10.3390/healthcare13111255. PMID: 40508869. https://www.mdpi.com/2227-9032/13/11/1255 (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 a reduced exercise capacity, skeletal muscle abnormalities and post-exertional malaise (PEM), where symptoms worsen with cognitive or physical exertion. PEM often results in avoidance of physical activity, resulting in a lower aerobic fitness, which may contribute to skeletal muscle abnormalities. Here, we compared whole-body exercise responses and skeletal muscle adaptations after strict 60-day bed rest in healthy people with those in patients with long COVID and ME/CFS, and healthy age- and sex-matched controls.

Bed rest altered the respiratory and cardiovascular responses to (sub)maximal exercise, while patients exhibited respiratory alterations only at submaximal exercise. Bed rest caused muscle atrophy, and the reduced oxidative phosphorylation related to reductions in maximal oxygen uptake.

Patients with long COVID and ME/CFS did not have muscle atrophy, but had less capillaries and a more glycolytic fibers, none of which were associated with maximal oxygen uptake. While the whole-body aerobic capacity is similar following bed rest compared to patients, the skeletal muscle characteristics differed, suggesting that physical inactivity alone does not explain the lower exercise capacity in long COVID and ME/CFS.

Source: Braeden T. Charlton, Anouk Slaghekke, Brent Appelman, Moritz Eggelbusch, Jelle Y. Huijts, Wendy Noort, Paul W. Hendrickse, Frank W. Bloemers, Jelle J. Posthuma, Paul van Amstel, Richie P. Goulding, Hans Degens, Richard T. Jaspers, Michèle van Vugt, Rob C.I. Wüst. Skeletal muscle properties in long COVID and ME/CFS differ from those induced by bed rest. medRxiv 2025.05.02.25326885; doi: https://doi.org/10.1101/2025.05.02.25326885 https://www.medrxiv.org/content/10.1101/2025.05.02.25326885v1.full?_x_tr_sl=nl&_x_tr_tl=en&_x_tr_hl=en (Full text)

How pandemics reshape our brain: Common links and targets between long-haul COVID-19, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), oxidative stress, and neurodegeneration

Highlights:

  • Fatiguing syndromes affect millions of patients in the United States and globally, but are grossly underserved in the clinic and in the contemplative design of basic research.
  • Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex multisystem metabolic-immune-inflammatory disorder. Although research on this condition is in its infancy, it appears to involve the immune system and central nervous system malfunction, with cellular oxidative stress as a predominant feature.
  • Approximately half of the cases of long-haul coronavirus disease 2019 meet the diagnostic criteria for ME/CFS, burgeoning the number of affected individuals.
  • Recent strides in neurobiology have yet to transfer the understanding of the neurodegenerative aspects, and potential for neuroprotection, of ME/CFS.
  • ME/CFS may represent a useful paradigm and research model for the study of the impact of sustained oxidative stress on the central nervous system and the body at large.

Archeological findings from the bubonic plague era onward have demonstrated how pandemics can exert selective pressures, as will be highlighted. In particular, the short-term survival advantage during pandemics of individuals with greater immune “plasticity” comes at the cost of increased susceptibility to autoimmunity. Certain viral infections appear to trigger persistent immune system dysregulation, leading to broad autoimmunity and a sequelae of multisystem pathophysiologies with diverse symptoms long after the virus is cleared.

Human coronavirus 2019 (HCoV-19) is the most recent virus that appears to have elevated the incidence of autoimmune diseases in infected individuals. Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is an autoimmune, multisystem fatiguing syndrome affecting approximately 20 million people globally, representing 1.3% of adults in the United States.1, 2 It involves metabolic, immune, and inflammatory processes, with central nervous system (CNS) dysfunction and cellular oxidative stress being prominent features. Notably, about half of long-haul coronavirus disease 2019 (COVID-19) cases meet the diagnostic criteria for ME/CFS, potentially doubling or tripling its prevalence.

This article highlights ME/CFS, a nascent research area, as a model for neurological pathophysiological outcomes resulting from persistently high oxidative stress levels. Patients with ME/CFS, many who have had this condition for decades, form an underutilized patient population for this study.

A second objective of this Research Highlight is to correct recent reports that have attempted to “retrofit” principles and outcomes from other neurologic diseases to ME/CFS. This has led some neuroscientists to extrapolate erroneously that ME/CFS is not a neurodegenerative disorder. However, substantial evidence indicates that autoimmune ME/CFS is a neurodegenerative disease.

Source: Herman ME. How pandemics reshape our brain: common links and targets between long-haul COVID-19, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), oxidative stress, and neurodegeneration. Neuroprotection. 2025; 1–8. doi:10.1002/nep3.70007 https://onlinelibrary.wiley.com/doi/10.1002/nep3.70007 (Full text)

 

Extracellular vesicle proteomics uncovers energy metabolism, complement system, and endoplasmic reticulum stress response dysregulation postexercise in males with myalgic encephalomyelitis/chronic fatigue syndrome

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating illness characterized by post-exertional malaise (PEM), a worsening of symptoms following exertion. The biological mechanisms underlying PEM remain unclear. Extracellular vesicles (EVs) play a key role in cell-cell communication and may provide insight into ME/CFS pathophysiology post-exertion. Emerging evidence suggests similarities between ME/CFS and Long COVID, including PEM and overlapping immune and metabolic dysfunctions, highlighting the need for deeper mechanistic understanding.

Methods: This study explores the EV proteome response to exercise in 10 males with ME/CFS and 12 well-matched sedentary male controls. Participants underwent a maximal cardiopulmonary exercise test, and plasma samples were collected at baseline, 15 min, and 24 h postexercise. EVs were isolated from plasma using size-exclusion chromatography and characterized with nanoparticle tracking analysis. EV protein abundance was quantified with untargeted proteomics (nanoLC-MS/MS). Comprehensive analyses included differential abundance, pathway enrichment, protein-protein interaction networks, and correlations between EV protein dynamics and clinical or exercise physiology data.

Results: ME/CFS patients exhibited many significantly altered EV proteomic responses compared with controls, including downregulation of TCA cycle-related proteins and upregulation of complement system proteins at 15 min postexercise. Changes in proteins involved in protein folding and the endoplasmic reticulum (ER) stress response during recovery were highly correlated with PEM severity, highlighting their potential as therapeutic targets. EV protein changes postexercise were also associated with disease severity and unrefreshing sleep. Correlations between EV protein levels and the exercise parameters VO₂ peak and ventilatory anaerobic threshold were observed in controls but were absent in ME/CFS patients, suggesting disrupted EV-mediated physiological processes.

Conclusions: ME/CFS patients exhibit a maladaptive EV proteomic response to exercise, characterized by metabolic impairments, immune overactivation, and ER stress response dysregulation. These findings provide insight into the molecular basis of PEM and suggest promising targets for improving recovery and energy metabolism in ME/CFS.

Source: Glass KA, Giloteaux L, Zhang S, Hanson MR. Extracellular vesicle proteomics uncovers energy metabolism, complement system, and endoplasmic reticulum stress response dysregulation postexercise in males with myalgic encephalomyelitis/chronic fatigue syndrome. Clin Transl Med. 2025 May;15(5):e70346. doi: 10.1002/ctm2.70346. PMID: 40465195; PMCID: PMC12135887. https://pmc.ncbi.nlm.nih.gov/articles/PMC12135887/ (Full text)

Cerebrospinal fluid immune phenotyping reveals distinct immunotypes of myalgic encephalomyelitis/chronic fatigue syndrome

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex heterogeneous multiorgan disease that can have severe impact on individuals’ quality of life. Diagnosis of ME/CFS is based on symptom presentation, and a significant goal for the field is to establish meaningful subtypes. The heterogeneity in the literature suggests that individuals living with ME/CFS may suffer from overlapping but different underlying pathophysiological mechanisms.

We enrolled 40 participants with ME/CFS and 41 matched healthy control subjects at the Bragée Clinic in Sweden. We assessed plasma samples from both ME/CFS cases and control groups and cerebrospinal fluid (CSF) samples from individuals with ME/CFS.

We investigated dysregulated pathways and disease profiles through clinical questionnaires; multiplex analyses of cytokines, hormones, and matrix metalloproteinases; pathogen seroreactivity through peptide display bacteria libraries; and high-throughput microarray for autoantibodies. All samples used were from humans.

We show altered interaction patterns between circulating biological factors in plasma of ME/CFS participants. Our analysis of CSF from individuals with ME/CFS revealed different immunotypes of disease. We found 2 patient clusters based on matrix metalloproteinases profiles. The subgroups had similar clinical presentation but distinct pathogen exposure and CSF inflammatory profiles.

Our findings shed light on ME/CFS immune phenotypes and generate hypotheses for future research in disease pathogenesis and treatment development by exploring disease subgroups.

Source: Bastos VC, Greene KA, Tabachnikova A, Bhattacharjee B, Sjögren P, Bertilson B, Reifert J, Zhang M, Kamath K, Shon J, Gehlhausen JR, Guan L, VanElzakker M, Proal A, Bragée B, Iwasaki A. Cerebrospinal fluid immune phenotyping reveals distinct immunotypes of myalgic encephalomyelitis/chronic fatigue syndrome. J Immunol. 2025 May 15:vkaf087. doi: 10.1093/jimmun/vkaf087. Epub ahead of print. PMID: 40373264. https://academic.oup.com/jimmunol/advance-article/doi/10.1093/jimmun/vkaf087/8133211 (Full text)

Exercise Pathophysiology in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID: Commonalities Detected by Invasive Cardiopulmonary Exercise Testing

Abstract:

Rationale: There is substantial overlap of exertional symptoms in Long COVID (LC) and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) including intractable fatigue, post-exertional malaise (PEM), and orthostatic intolerance, but very little objective data liking the two. This study compares exercise pathophysiology in the two disorders and normal controls using invasive cardiopulmonary exercise testing (iCPET).

Methods: Between January 2019 and December 2024, 1,518 patients underwent a clinical iCPET at Brigham and Women’s Hospital. Exclusion criteria included morbid obesity (BMI>40 kg/m2), severe anemia ([Hb]<9.0 g/dL), elite athletes (peak VO2 (pVO2)>120% predicted), sub-maximum effort (RER<1.05), a primary pulmonary mechanical limit (VE @ AT/MVV>0.7), and comorbidities such as active/treated cancer, interstitial lung disease, or other respiratory related diseases. iCPET results from 438 ME/CFS patients, 73 LC patients, and 43 symptomatic but otherwise normal controls were analyzed. pV02, peak cardiac output (pQc), peak right atrial pressure (pRAP), peak systemic oxygen extraction (pSOE; Ca-vO2/[Hb]), and ventilatory inefficiency (VE/VCO2 slope) were compared among groups. Statistical significance was determined using Kruskal-Wallis tests for global comparisons, with post-hoc Dunn tests for pairwise group comparisons. Holm-Bonferroni adjustments were applied to control for multiple comparisons.

Results: LC and ME/CFS displayed reduced pVO2 % predicted compared to controls (LC: 78.4 ± 18%, ME/CFS: 78.1 ± 17%, Controls: 97.5 ± 10%, P≤0.0001). Reduced pQc % predicted was also observed compared to controls (LC: 91.1 ± 18%, ME/CFS: 96.3%, Controls: 101 ± 11%, P≤0.001). pRAP were significantly less compared to controls (LC: 1.1 ± 3.1 mmHg, ME/CFS: 1.3 ± 2.8 mmHg, Controls: 3.6 ± 3.4 mmHg, P≤0.001). Significant reductions in pSOE were seen for LC and ME/CFS (LC: 0.81 ± 0.1, ME/CFS: 0.81 ± 0.1, Controls, 0.91 ± 0.1, P≤0.0001). The only measure with no significant difference between disease and control was VE/VCO2 slope (LC: 31.4 ± 8.4, ME/CFS: 31.6 ± 6.9, Controls: 32.0 ± 6.7, P≥0.261). Most interestingly, no significant differences were seen between the two diseases for any of the analyzed measures (P≥0.245).

Conclusions: We report the largest cohort of ME/CFS and LC investigated with iCPET to date. ME/CFS and LC share symptomatic, reduced aerobic capacity at peak exercise, which is driven by preload insufficiency and impaired systemic O2 extraction, the latter compatible with peripheral left-to-right shunting and/or limb skeletal muscle dysfunction. These findings should drive future diagnostics and personalized medicine in both diseases. We hope these data inform the pending prospective NIH RECOVER iCPET study of LC.

Source: J. Squires, S. Palwayi, P. Li, W. Xiao, K. LeWine, S.W. Johnson, D. Felsenstein, A.B. Waxman, and D.M. Systrom. Exercise Pathophysiology in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID: Commonalities Detected by Invasive Cardiopulmonary Exercise Testing [abstract]. Am J Respir Crit Care Med 2025;211:A7881. https://www.atsjournals.org/doi/​10.1164/ajrccm.2025.211.Abstracts.A7881

Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort

Abstract:

Background: Shared symptoms and biological abnormalities between post-acute sequelae of SARS-CoV-2 infection (PASC) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) could suggest common pathophysiological bases and would support coordinated treatment efforts. Empirical studies comparing these syndromes are needed to better understand their commonalities and differences.

Methods: We analyzed electronic health record data from 6.5 million adult patients from the National COVID Cohort Collaborative. PASC and ME/CFS diagnostic groups were defined based on recorded diagnoses, and other recorded conditions within the two groups were used to train separate machine learning-driven computable phenotypes (CPs). The most predictive conditions for each CP were examined and compared, and the overlap of patients labeled by each CP was examined. Condition records from the diagnostic groups were also used to statistically derive condition clusters. Rates of subphenotypes based on these clusters were compared between PASC and ME/CFS groups.

Results: Approximately half of patients labeled by one CP are also labeled by the other. Dyspnea, fatigue, and cognitive impairment are the most-predictive conditions shared by both CPs, whereas other most-predictive conditions are specific to one CP. Recorded conditions separate into cardiopulmonary, neurological, and comorbidity clusters, with the cardiopulmonary cluster showing partial specificity for the PASC groups.

Conclusions: Data-driven approaches indicate substantial overlap in the condition records associated with PASC and ME/CFS diagnoses. Nevertheless, cardiopulmonary conditions are somewhat more commonly associated with PASC diagnosis, whereas other conditions, such as pain and sleep disturbances, are more associated with ME/CFS diagnosis. These findings suggest that symptom management approaches to these illnesses could overlap.

Source: Powers JP, McIntee TJ, Bhatia A, Madlock-Brown CR, Seltzer J, Sekar A, Jain N, Hornig M, Seibert E, Leese PJ, Haendel M, Moffitt R, Pfaff ER; N3C Consortium and RECOVER-EHR. Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort. Commun Med (Lond). 2025 Apr 11;5(1):109. doi: 10.1038/s43856-025-00827-5. PMID: 40210986. https://www.nature.com/articles/s43856-025-00827-5 (Full text)