Tag: long covid symptoms

Symptom Patterns, Recovery, and Impact of Long COVID: Findings From a Longitudinal Survey

Abstract:

Background: Long COVID is a predominantly multisystem, often disabling, condition that develops following SARS-CoV-2 infection. We aimed to characterize the pattern, triggers, and impact of Long COVID symptoms.
Methods: Data from a 1-year follow-up of an online survey originally conducted in November 2020 were used. Surveys were coproduced with people living with Long COVID. Participants were adults with Long COVID following confirmed or probable SARS-CoV-2 infection who were not hospitalized in the first 2 weeks of illness. The baseline survey recruited from social media and online support groups using convenience nonprobability sampling.
Results: Of the 2210 first survey participants invited, 1153 (52%) responded to the follow-up survey. The mean age was 47.7 years (standard deviation 10.6) with 84% females, 83% UK-based, 78% university-qualified, and 90% reporting good to excellent health before SARS-CoV-2 infection. Median duration of illness was 19.8 months (interquartile range, 19.3–20.1) at follow-up. Only 5% of participants reported full recovery, and 45% reported a constant pattern of illness (as opposed to fluctuating or relapsing) compared to 17% at baseline. An equal proportion reported being unable to work at baseline (20.4%) and follow-up (20.6%). However, a higher proportion reported being made redundant or taking early retirement at follow-up (8.9%) than at baseline (2.2%).
Conclusions: This study highlights the prolonged nature of Long COVID as well as the impact on work. This has the potential to widen health inequalities and increase hardship in individuals whose life circumstances and job types may not allow them to make necessary adaptations.

Source: Nida Ziauddeen, Marija Pantelic, Margaret E O’Hara, Claire Hastie, Nisreen A Alwan, Symptom Patterns, Recovery, and Impact of Long COVID: Findings From a Longitudinal Survey, Open Forum Infectious Diseases, Volume 13, Issue 2, February 2026, ofag040, https://doi.org/10.1093/ofid/ofag040 https://academic.oup.com/ofid/article/13/2/ofag040/8495807?login=false (Full text)

Assessment of dynamic cerebral blood flow changes during cognitive tasks in patients with post-COVID-19 syndrome

Abstract:

The objective of this study was to quantify the variability of cortical blood flow during cognitive load as an indicator of disease-related changes in cerebral capillary blood flow intermittency in patients with post-COVID-19 syndrome. The regulation of cerebral blood flow in the dorsolateral prefrontal cortex under cognitive load was examined using high-resolution functional near-infrared spectroscopy in 36 subjects including 12 patients with post-COVID-19 syndrome and two control groups [12 coronary artery disease patients matched for age and 12 young healthy individuals (CTRL)].

To induce cognitive load, a Flanker task and an N-back task were employed. The structure of temporal variability of local blood flow regulation was assessed using sample entropy at 17 channels spanning both brain hemispheres. The spatial variability of the regional blood flow pattern was evaluated using the coefficient of variation (CV) from sample entropies across all channels.

Results revealed a notable discrepancy in that patients with post-COVID-19 syndrome exhibited reduced temporal variability (lower sample entropy) but elevated spatial variability (higher CV) in comparison to coronary artery disease patients during cognitive load (P = 0.02). In the N-back task, the spatial variability increased from healthy individuals to coronary artery disease patients to patients with post-COVID-19 syndrome and was associated with longer reaction time and with lower accuracy.

The results confirmed that dynamic cerebral blood flow is altered in patients with post-COVID-19 syndrome, which may be related to fatigue during cognitive tasks. Sample entropy and CV values represent different aspects of blood flow regulation fluctuation. Their simultaneous analysis enabled a meaningful distinction between groups suggesting disease-related changes in brain haemodynamic. The presented method is therefore suitable for describing current states of cortical blood flow regulation and for documenting intervention results in patients with post-COVID-19 syndrome or patients with similar symptoms (e.g. myalgic encephalomyelitis/chronic fatigue syndrome).

Source: Kutz DF, Garbsch R, Mooren FC, Schmitz B, Voelcker-Rehage C. Assessment of dynamic cerebral blood flow changes during cognitive tasks in patients with post-COVID-19 syndrome. Brain Commun. 2026 Feb 10;8(1):fcag036. doi: 10.1093/braincomms/fcag036. PMID: 41728261; PMCID: PMC12917544. https://pmc.ncbi.nlm.nih.gov/articles/PMC12917544/ (Full text)

Altered Pain Perception and Modulation in Individuals With Post-COVID-Condition: Insights From Quantitative Sensory Testing

Abstract:

Introduction: Chronic pain is a significant and debilitating symptom observed in individuals with post-COVID condition (PCC), yet the underlying mechanisms remain poorly understood. This study aimed to investigate whether changes in psychophysical indicators of myofascial pain perception and modulation are present in individuals with PCC compared to symptom-free healthy controls (HC), and whether these changes correlate with the severity of clinical symptoms.

Methods: The study involved 84 individuals with PCC and 50 HC, assessing pain detection and tolerance thresholds (PDT and PTT), spatial and temporal summation of pain (SSP and TSP), and conditioned pain modulation (CPM) using phasic cuff pressure on the legs.

Results: Results indicated that individuals with PCC exhibited lower PDT and PPT (PDT: d = -0.557, p = 0.0022; PTT: d = -0.575, p = 0.0016), increased TSP (d = 0.424, p = 0.02) and decreased SSPPTT (d = -0.532, p = 0.0038) compared to HC CPM effects (CPMPDT: p = 0.058; CPMPTT: p = 0.43) did not differ significantly between groups but post hoc analysis revealed a significantly higher proportion of inhibitory responders among HC. Subgroup analyses highlighted that these effects were particularly pronounced in participants that reported chronic pain among their PCC symptoms, as well as those with more severe PCC symptomatology.

Conclusion: The findings suggest that individuals with PCC demonstrate altered myofascial pain perception, indicative of central sensitization. These results underscore the need for further research into targeted therapeutic strategies for managing chronic pain in PCC.

Significance statement: Individuals with post-COVID condition (PCC) often experience persistent pain. Using quantitative sensory testing of deep tissue pain, we found that individuals with PCC had lower pain detection and tolerance thresholds, stronger spatial and temporal summation, and a higher proportion of facilitatory conditioned pain modulation compared to healthy controls. This pattern is consistent with nociplastic pain, suggesting altered central pain processing in PCC. Understanding these mechanisms is essential for developing targeted treatments of chronic pain in this growing patient population.

Source: Lange H, Reichert J, Vock S, Hermes M, Beiner E, Eich W, Friederich HC, Treede RD, Tesarz J. Altered Pain Perception and Modulation in Individuals With Post-COVID-Condition: Insights From Quantitative Sensory Testing. Eur J Pain. 2026 Feb;30(2):e70203. doi: 10.1002/ejp.70203. PMID: 41699921. https://pubmed.ncbi.nlm.nih.gov/41699921/

The fatigue spectrum in a community-based long haul COVID cohort

Abstract:

Introduction: In a Long Haul COVID referral clinic we describe the primary presentations of fatigue according to the CDC 2015 criteria for myalgic encephalitis/chronic fatigue syndrome (ME/CFS).

Methods: Between September 2021 and April 2022, 277 patients (61% women, 54 yrs: range 18-90 yrs) presented an average of 10 months after an acute COVID-19 infection (22% hospitalized). The clinical data were analyzed to conpare those with or without a primary or co-primary complaint of fatigue, subdivided as meeting ME/CFS criteria or not.

Results: 209 (73.5%) people (64% women) presented with fatigue. The Fatigue Severity Score was 5.33 (out 7) in those with 5.31 (SD1.54) vs. without 4.43 (SD1.65) a primary fatigue complaint (p > 0.001). Anxiety (58% vs. 38%, p < 0.02) and any psychiatric diagnosis (66% vs. 44%%, p < 0.01), but not depression itself, were overrepresented in those with Fatigue and ME/CFS. Those with prior managed sleep conditions did not increase risk for fatigue presentation. Of those with fatigue and an elevated FSS, 45/209 (21.9%) met criteria for ME/CFS. In those not meeting these criteria, associated ME/CFS symptoms were less consistent. Physical functioning by ECOG (1.88 (0.78) and 26% >2) did correlate with fatigue status. Depression was present (PHQ9 12.34 (5.95) with 63% >10) to a moderate or higher degree and was different with fatigue complaints. Brain fog (51.9%) was similar among the three categories, and correlated with FSS > 4, ECOG, and depression.

Conclusions: The fatigue phenotype in those presenting with it as a primary complaint comprises 21% meeting ME/CFS criteria and 79% which do not. In all the Long Haul COVID presentations. brain fog had separate, distinguishing features. Post-COVID fatigue is a spectrum which will confound clinical trials.

Source: Carter IV, May A, Hsieh IC, Torer J, Rosenberg D, Strohl KP. The fatigue spectrum in a community-based long haul COVID cohort. Sleep Breath. 2026 Jan 31;30(1):27. doi: 10.1007/s11325-025-03512-y. PMID: 41620575. https://link.springer.com/article/10.1007/s11325-025-03512-y (Full text)

Reduced ATP-to-phosphocreatine ratios in neuropsychiatric post-COVID condition: Evidence from 31P magnetic resonance spectroscopy

Abstract:

Background: Post-COVID condition (PCCo) affects 5-10% of individuals following SARS-CoV-2 infection, with cognitive disturbances being a major feature. Central hypotheses regarding its pathophysiology include disturbed cell energy metabolism and oxidative stress pointing to mitochondrial dysfunction. However, brain energy metabolism remains unexplored.

Methods: We investigated cerebral high-energy phosphate metabolism in 27 PCCo patients and 23 fully recovered controls using whole-brain 31P-MRSI at 3T. ATP/PCr ratios were quantified throughout the brain and analyzed with voxel-based and regional statistics including correlations with neuropsychological performance (Montreal Cognitive Assessment and Trail Making Test Part B). Statistical analysis employed voxel-wise comparisons with age as covariate, followed by region-of-interest analysis of cingulate cortex subdivisions.

Results: PCCo patients showed a significant cluster of reduced ATP/PCr ratios centered on the cingulate cortex. Regional analysis revealed consistent reductions across anterior (ACC), mid- (MCC), and posterior (PCC) cingulate cortices. Lower ATP/PCr ratios in the ACC specifically correlated with poorer cognitive performance. Exploratory analyses revealed a trend toward higher intracellular pH in the MCC with significant negative correlation between pH and ATP/PCr observed only in patients, suggesting disease-specific alterations in pH regulation and bioenergetic homeostasis. Subgroup analysis showed similar metabolic alterations in PCCo patients meeting ME/CFS criteria.

Conclusions: Our study provides first in vivo evidence of impaired brain energy metabolism in PCCo, with anterior cingulate dysfunction directly linked to cognitive impairment. The observed pH-ATP/PCr relationship suggests broader disruption of cellular bioenergetic regulation. These findings support mitochondrial dysfunction as a key pathophysiological mechanism and may inform targeted therapeutic strategies.

Source: Weber-Fahr W, Dommke S, Sack M, Alzein N, Becker R, Demirakca T, Ende G, Schilling C. Reduced ATP-to-phosphocreatine ratios in neuropsychiatric post-COVID condition: Evidence from 31P magnetic resonance spectroscopy. Biol Psychiatry. 2026 Jan 10:S0006-3223(26)00021-1. doi: 10.1016/j.biopsych.2026.01.004. Epub ahead of print. PMID: 41525818.  https://www.biologicalpsychiatryjournal.com/article/S0006-3223(26)00021-1/fulltext (Full text)

Overlapping Clinical Presentation of Long COVID and Postacute COVID-19 Vaccination Syndrome: Phenotypes, Severity, and Biomarkers

Abstract:

Background: Postacute sequelae of COVID-19 (PASC), also known as long COVID, and postacute COVID-19 vaccination syndrome (PACVS) present overlapping but distinct clinical challenges. We hypothesize that PASC and PACVS share clinical features but differ in symptom patterns and biomarker profiles. This study aims to identify differences in presentation and distinguish immunologic biomarkers relevant to general clinical practice.

Methods: This cross-sectional study analyzed 181 patients from a PASC clinic at Columbia University Irving Medical Center. Patients were divided into PASC with myalgic encephalomyelitis/chronic fatigue syndrome (MECFS), PASC without MECFS (LC), and PACVS groups. Prevalence and severity of self-reported symptoms, as well as immunologic abnormalities, were compared across groups.

Results: Fatigue was the most common symptom (Total: 88.95%; MECFS: 100.00%; PACVS: 92.86%; LC: 78.05%). The MECFS group generally reported more symptoms across all organ systems. The PACVS group reported higher rates of atypical chief complaints such as peripheral neuropathy (17.9%), tinnitus (7.1%), and rash (10.7%) compared to the other groups (P = <.01). Functional impairment was comparable between the MECFS and PACVS groups and less severe in the LC group. All groups had high rates of autoantibody positivity and cytokine elevation. The PACVS group showed significantly higher rates of anticardiolipin IgM (PACVS 42.9%, LC 11.6%; P = .02) and anti-U1-RNP (PACVS 21.4%, LC 2.3%; P = .04) positivity compared to the LC group.

Conclusions: PASC and PACVS share symptom overlap but exhibit distinct biomarker patterns, particularly elevated autoantibody levels in PACVS. These findings suggest autoimmune involvement, warranting further investigation for targeted therapies.

Source: Purpura L, Heisler T, Palmer S, Shah J, Graham A, Seo GY, Sturiza A, Javier X, Pinto G, Rosa A, Bosco J, Reis K, Sobieszczyk ME, Yin MT. Overlapping Clinical Presentation of Long COVID and Postacute COVID-19 Vaccination Syndrome: Phenotypes, Severity, and Biomarkers. Clin Infect Dis. 2026 Jan 9:ciaf624. doi: 10.1093/cid/ciaf624. Epub ahead of print. PMID: 41510565. https://academic.oup.com/cid/advance-article/doi/10.1093/cid/ciaf624/8417802 (Full text)

Reinfection with SARS-CoV-2 in the Omicron Era is Associated with Increased Risk of Post-Acute Sequelae of SARS-CoV-2 Infection: A RECOVER-EHR Cohort Study

Abstract:

Importance: Post-acute sequelae of SARS-CoV-2 infection (PASC) remains a major public health challenge. While previous studies have focused on characterizing PASC and identifying its subphenotypes in children and adolescents following an initial SARS-CoV-2 infection, the risks of PASC with Omicron-variant reinfections remain unclear. Using a real-world data approach, this study investigates the risks of PASC following reinfections during the Omicron phase in the pediatric population.

Objective: To investigate the risks of PASC diagnosis and 24 PASC symptoms and conditions after reinfection of SARS-CoV-2 during Omicron period in the pediatric population.

Design setting and participants: This retrospective cohort study used data from the RECOVER consortium comprising 40 children’s hospitals and health institutions in U.S. between January 2022 and October 2023.

Exposures: A second SARS-CoV-2 infection, confirmed by a positive polymerase-chain-reaction (PCR) or antigen tests, or a diagnose of COVID-19, occurring at least 60 days after the initial infection, compared to the initial infection.

Main outcomes and measures: PASC was identified using two approaches: (1) the ICD-10-CM diagnosis code U09.9 and (2) a symptom-based definition including 24 physician-identified symptoms and conditions. Absolute risks of incident PASC were reported, and relative risks (RRs) were calculated by comparing the second infection episode with the first infection episode groups using a modified Poisson regression model, adjusting for demographic, clinical, and healthcare utilization factors through exact matching and propensity scoring matching.

Results: A total of 465,717 individuals under 21 years old (mean [SD] age 8.17 [6.58] years; 52% male) were included. Compared to the first infection, a second infection was associated with significantly increased risk of an overall PASC diagnosis (RR, 2.08; 95% confidence interval [CI], 1.68-2.59), and with many specific conditions including: myocarditis (RR, 3.60; 95% CI, 1.46-8.86); changes in taste and smell (RR, 2.83; 95% CI, 1.41-5.67); thrombophlebitis and thromboembolism (RR, 2.28; 95% CI, 1.71-3.04); heart disease (RR, 1.96; 95% CI, 1.69 to 2.28); acute kidney injury (RR, 1.90; 95% CI, 1.38 to 2.61); fluid and electrolyte (RR, 1.89; 95% CI, 1.62 to 2.20); generalized pain (RR, 1.70; 95% CI, 1.48 to ; arrhythmias (RR, 1.59; 95% CI, 1.45-1.74); abnormal liver enzyme (RR, 1.56; 95% CI, 1.24 to ; fatigue and malaise (RR, 1.50; 95% CI, 1.38 to 1.64); musculoskeletal pain (RR, 1.45; 95% CI, 1.37 to 1.54); abdominal pain (RR, 1.42; 95% CI, 1.34 to 1.50); postural orthostatic tachycardia syndromes (POTS)/dysautonomia (RR, 1.35; 95% CI, 1.20 to 1.51); cognitive functions (RR, 1.32; 95% CI, 1.15 to 1.50); and respiratory signs and symptoms (RR, 1.29; 95% CI, 1.25 to 1.33). The risks were consistent across various organ systems, including cardiovascular, respiratory, gastrointestinal, neurological, and musculoskeletal systems.

Conclusions and relevance: Children and adolescents face significantly higher risk of various PASC outcomes after reinfection with SARS-CoV-2. These findings suggest a cumulative risk of PASC and highlight the urgent need for targeted prevention strategies to reduce reinfections, which includes an increased emphasis on initial or re-vaccination of children.

Source: Zhang B, Wu Q, Jhaveri R, Zhou T, Becich MJ, Bisyuk Y, Blanceró F, Chrischilles EA, Chuang CH, Cowell LG, Fort D, Horowitz CR, Kim S, Ladino N, Liebovitz DM, Liu M, Mosa ASM, Schwenk HT, Suresh S, Taylor BW, Williams DA, Morris JS, Forrest CB, Chen Y. Reinfection with SARS-CoV-2 in the Omicron Era is Associated with Increased Risk of Post-Acute Sequelae of SARS-CoV-2 Infection: A RECOVER-EHR Cohort Study. medRxiv [Preprint]. 2025 Mar 30:2025.03.28.25324858. doi: 10.1101/2025.03.28.25324858. PMID: 40196285; PMCID: PMC11974971. https://pmc.ncbi.nlm.nih.gov/articles/PMC11974971/ (Full text)

Long COVID associated with SARS-CoV-2 reinfection among children and adolescents in the omicron era (RECOVER-EHR): a retrospective cohort study

Summary:

Background: Post-acute sequelae of SARS-CoV-2 infection (PASC) remain a major public health challenge. Although previous studies have focused on characterising PASC in children and adolescents after an initial infection, the risks of PASC after reinfection with the omicron variant remain unclear. We aimed to assess the risk of PASC diagnosis (U09.9) and symptoms and conditions potentially related to PASC in children and adolescents after a SARS-CoV-2 reinfection during the omicron period.

Methods: This retrospective cohort study used data from 40 children’s hospitals and health institutions in the USA participating in the Researching COVID to Enhance Recovery (RECOVER) Initiative. We included patients younger than 21 years at the time of cohort entry; with documented SARS-CoV-2 infection after Jan 1, 2022; and who had at least one health-care visit within 24 months to 7 days before the first infection. The second SARS-CoV-2 infection was confirmed by positive PCR, antigen tests, or a diagnosis of COVID-19 that occurred at least 60 days after the first infection. The primary endpoint was a clinician-documented diagnosis of PASC (U09.9). Secondary endpoints were 24 symptoms and conditions previously identified as being potentially related to PASC. We used the modified Poisson regression model to estimate the relative risk (RR) between the second and first infection episodes, adjusted for demographic, clinical, and health-care utilisation factors using exact and propensity-score matching.

Findings: We identified 407 300 (87·5%) of 465 717 eligible children and adolescents with a first infection episode and 58 417 (12·5%) with a second infection episode from Jan 1, 2022, to Oct 13, 2023, in the RECOVER database. 233 842 (50·2%) patients were male and 231 875 (49·8%) were female. The mean age was 8·17 years (SD 6·58). The incident rate of PASC diagnosis (U09.9) per million people per 6 months was 903·7 (95% CI 780·9–1026·5) in the first infection group and 1883·7 (1565·1–2202·3) in the second infection group. Reinfection was associated with a significantly increased risk of an overall PASC diagnosis (U09.9) (RR 2·08 [1·68–2·59]) and a range of symptoms and conditions potentially related to PASC (RR range 1·15–3·60), including myocarditis, changes in taste and smell, thrombophlebitis and thromboembolism, heart disease, acute kidney injury, fluid and electrolyte disturbance, generalised pain, arrhythmias, abnormal liver enzymes, chest pain, fatigue and malaise, headache, musculoskeletal pain, abdominal pain, mental ill health, POTS or dysautonomia, cognitive impairment, skin conditions, fever and chills, respiratory signs and symptoms, and cardiovascular signs and symptoms.

Interpretation: Children and adolescents face a significantly higher risk of various PASC outcomes after reinfection with SARS-CoV-2. These findings add to previous evidence linking paediatric long COVID to multisystem effects and highlight the need to promote vaccination in younger populations and support ongoing research to better understand PASC, identify high-risk subgroups, and improve prevention and care strategies.

Funding: National Institutes of Health.

Source: Zhang, Bingyu et al. Long COVID associated with SARS-CoV-2 reinfection among children and adolescents in the omicron era (RECOVER-EHR): a retrospective cohort study. The Lancet Infectious Diseases, Volume 0, Issue 0, Online first; September 30, 2025. https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(25)00476-1/fulltext (Full text)

Exploration of Intersections and Divergences of Long COVID and Chronic Fatigue Syndrome

Abstract:

Background: Fatigue is the most common symptom of Long COVID (LC), defined by persistent or newly emerging symptoms that develop at least three months after an initial SARS-CoV-2 infection, in the absence of other identifiable cause. This study investigates the prevalence of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) as a potential comorbidity of LC.

Methods: The study enrolled 37 adult controls with no documented SARS-CoV-2 infection and 32 individuals with a history of infection, categorized as LC-yes (with LC symptoms) and LC-no (without LC symptoms). ME/CFS diagnosis was based on the International Consensus Criteria (ICC).

Results: Among LC-yes cases, the most frequently reported symptoms included post-exertional malaise (PEM); neurosensory, perceptual, or motor disturbances; cognitive impairment; sleep disturbances; pain; impaired thermoregulation; and flu-like symptoms, all occurring significantly more than in the LC-no or control groups. All individuals in the LC-yes group reported PEM. ME/CFS was diagnosed in three LC-yes cases (18.8%), one LC-no case (6.7%), and four control subjects (10.8%), with no statistically significant differences observed among groups. Experiencing more than six symptoms during acute infection, such as fatigue, loss of taste or smell, headache, fever, cough, myalgia, sore throat, shortness of breath, rhinorrhea, and diarrhea, was associated with a twofold higher risk of developing LC.

Conclusion: A substantial proportion of LC-yes individuals experienced PEM; neurosensory, perceptual, or motor disturbances; cognitive impairment; and sleep disturbances, with rates significantly exceeding those in the LC-no and control groups. Nevertheless, only a minority of LC-yes cases (18.8%) satisfied criteria for the ME/CFS, and the prevalence did not significantly differ from LC-no and controls. These findings suggest that while many symptoms of LC overlap with those of ME/CFS, only a subset of LC cases meet established ME/CFS diagnostic criteria.

Source: Kouyoumdjian JA, Yamamoto LA, Graca CR. Exploration of Intersections and Divergences of Long COVID and Chronic Fatigue Syndrome. Cureus. 2025 Aug 20;17(8):e90607. doi: 10.7759/cureus.90607. PMID: 40978825; PMCID: PMC12448662. https://pmc.ncbi.nlm.nih.gov/articles/PMC12448662/ (Full text)

Causes of symptoms and symptom persistence in long COVID and myalgic encephalomyelitis/chronic fatigue syndrome

Abstract:

Debilitating symptoms for many years can follow acute COVID-19 (“long COVID”), myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and various post-acute infection syndromes (PAISs). Together, long COVID and ME/CFS affect 60-400 million individuals, globally. Many similar underlying biological abnormalities have been identified in both conditions including autoantibodies against neural targets, endothelial dysfunction, acquired mitochondrial dysfunction, and a pro-inflammatory gut microbiome. Each of these abnormalities may directly cause some of the symptoms.

In addition, the symptoms also may be caused by ancient, evolutionarily conserved symptomatic and metabolic responses to vital threats-sickness behavior and torpor-responses mediated by specific, recently discovered neural circuits. These neural circuits constitute a symptom-generating pathway, activated by neuroinflammation, which may be targeted by therapeutics to quell neuroinflammation.

Many factors cause the symptoms to become chronic, including persistent infectious agents (and/or their nucleic acids and antigens) and the fact that many of the underlying biological abnormalities reinforce each other, creating ongoing physiological vicious cycles.

Source:Komaroff AL, Dantzer R. Causes of symptoms and symptom persistence in long COVID and myalgic encephalomyelitis/chronic fatigue syndrome. Cell Rep Med. 2025 Jul 25:102259. doi: 10.1016/j.xcrm.2025.102259. Epub ahead of print. PMID: 40744021. https://www.cell.com/cell-reports-medicine/fulltext/S2666-3791(25)00332-5 (Full text)