Cytokine profiles associated with persisting symptoms of post-acute sequelae of COVID-19

Abstract:

Background/aims: Post-acute sequelae of COVID-19 (PASC) are highly heterogeneous; therefore, the pathophysiological mechanisms for PASC remain unclear. In this study, we aimed to examine the immunologic aspects of various PASC symptoms.

Methods: We prospectively enrolled adults aged ≥ 18 years who were diagnosed with COVID-19 between August 2022 and September 2023. Blood samples were collected from all participants, who were interviewed using a questionnaire for PASC symptoms at least once between 1 and 6 months after the COVID-19 diagnosis. For immunological evaluation, plasma concentrations of SARS-CoV-2 spike subunit 1-specific IgG and 33 cytokines were measured using enzyme-linked immunosorbent assays and multiplex-based immunoassay, respectively.

Results: In total, 156 pairs of blood samples and symptom reports from 79 participants were eligible for analysis. The most frequent symptom was fatigue, followed by post exertional malaise, chronic cough, thirst, and brain fog. Gastrointestinal symptoms, chest pain, post exertional malaise, smell/taste change, fatigue, brain fog, abnormal movement, and palpitation were accompanied by significant increases in IL-10, VEGF, and inflammatory cytokines like MIP-1α, IL-1β, IL-6, IL-8, MIG, granzyme A, and CX3CL1 levels, while chronic cough, dizziness, dyspnea, and hair loss were not accompanied by significant differences in cytokine levels.

Conclusion: Symptoms classified into different categories based on the dysfunctional organs may share a common pathophysiology regarding elevation of certain cytokines. Although PASC symptoms are heterogeneous, our findings suggest that T-cell recruitment, thrombosis, and increased vascular permeability might contribute to various symptom clusters sharing common pathophysiological mechanisms.

Source: Kwon JS, Chang E, Jang HM, Kim JY, Kim W, Son JY, Cha J, Jang CY, Bae S, Jung J, Kim MJ, Chong YP, Lee SO, Choi SH, Kim YS, Kim SH. Cytokine profiles associated with persisting symptoms of post-acute sequelae of COVID-19. Korean J Intern Med. 2025 Jul;40(4):667-675. doi: 10.3904/kjim.2024.217. Epub 2025 Jul 1. PMID: 40635493. https://kjim.org/journal/view.php?doi=10.3904/kjim.2024.217 (Full text)

Prevalence and severity of neurologic symptoms in Long-COVID and the role of pre-existing conditions, hospitalization, and mental health

Abstract:

Background: Long-COVID refers to ongoing, relapsing, or new symptoms present 30 or more days after Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. This study examined the prevalence and severity of neurologic symptoms at greater than 1 month following acute SARS-CoV-2 infection and the influence of pre-existing neurologic and psychiatric conditions, current depression and anxiety status, and hospitalization on the presence and severity of these symptoms.

Methods: This prospective cohort study recruited primarily self-referred Long-COVID participants with confirmed SARS-CoV-2 infection. Online questionnaires inquiring about pre-existing conditions, neurologic symptoms and their severity pre, during and post COVID-19, and current anxiety and depression screening were completed by 213 participants at a median time of 8 months after infection. Descriptive analyses and prevalence modeling were performed.

Results: The most frequent neurologic symptoms post COVID-19 were fatigue, concentration/memory difficulties, unrefreshed sleep, and dysarthria/word finding difficulties (73.2–86.4%). Neurologic symptoms were highly prevalent with significantly greater odds post COVID-19 compared to pre for all symptoms and higher prevalence at time periods farther from infection, including those implicit in fibromyalgia and myalgic encephalomyelitis/chronic fatigue syndrome. Several severe neurologic symptoms were significantly more prevalent post COVID-19. Moderate to severe anxiety (34%) and depression (27%) were observed post COVID-19. Preexisting neurologic or psychiatric conditions did not demonstrate any significant difference in neurologic symptom prevalence post COVID-19. Those who met criteria for moderate or severe anxiety post COVID-19 had a significant difference in prevalence of fatigue, sensitivity to touch and unrefreshed sleep. Similarly, fatigue, concentration/memory difficulty and unrefreshed sleep were more prevalent in moderate to severe depression. There were no significant differences in neurologic symptom prevalence in a hospitalized group when compared to non- hospitalized.

Conclusion: Long-COVID has a high burden of long lasting and severe neurological sequelae. These sequelae are independent of pre-existing self-reported neurologic and psychiatric conditions, as well as previous hospitalization. Current moderate to severe anxiety and depression status can impact fatigue, cognition, and sleep post COVID-19. Focus on the biological impact of SARS-CoV-2 on the nervous system will be essential in ameliorating the tremendous symptom burden left in the wake of the COVID-19 pandemic.

Source: Huff Hanalise V. , Roberts Henry , Bartrum Elizabeth , Norato Gina , Grayson Nicholas , Fleig Katherine , Wilkerson Miciah J. , Stussman Barbara J. , Nath Avindra , Walitt Brian. Prevalence and severity of neurologic symptoms in Long-COVID and the role of pre-existing conditions, hospitalization, and mental health. Frontiers in Neurology, Volume 16 – 2025 https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1562084 10.3389/fneur.2025.1562084 ISSN:1664-2295 https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1562084/full (Full text)

Long-term neurological and cognitive impact of COVID-19: a systematic review and meta-analysis in over 4 million patients

Abstract:

Background: Neuropsychiatric symptoms emerged early in the COVID-19 pandemic as a key feature of the virus, with research confirming a range of neuropsychiatric manifestations linked to acute SARS-CoV-2 infection. However, the persistence of neurological symptoms in the post-acute and chronic phases remains unclear. This meta-analysis assesses the long-term neurological effects of COVID-19 in recovered patients, providing insights for mental health service planning.

Methods: A comprehensive literature search was conducted across five electronic databases: PubMed, Scopus, Web of Science, EBSCO, and CENTRAL, up to March 22, 2024. Studies evaluating the prevalence of long-term neurological symptoms in COVID-19 survivors with at least six months of follow-up were included. Pooled prevalence estimates, subgroup analyses, and meta-regression were performed, and publication bias was assessed.

Results: The prevalence rates for the different symptoms were as follows: fatigue 43.3% (95% CI [36.1-50.9%]), memory disorders 27.8% (95% CI [20.1-37.1%]), cognitive impairment 27.1% (95% CI [20.4-34.9%]), sleep disorders 24.4% (95% CI [18.1-32.1%]), concentration impairment 23.8% (95% CI [17.2-31.9%]), headache 20.3% (95% CI [15-26.9%]), dizziness 16% (95% CI [9.5-25.7%]), stress 15.9% (95% CI [10.2-24%]), depression 14.0% (95% CI [10.1-19.2%]), anxiety 13.2% (95% CI [9.6-17.9%]), and migraine 13% (95% CI [2.2-49.8%]). Significant heterogeneity was observed across all symptoms. Meta-regression analysis showed higher stress, fatigue, and headache in females, and increased stress and concentration impairment with higher BMI.

Conclusions: Neurological symptoms are common and persistent in COVID-19 survivors. This meta-analysis highlights the significant burden these symptoms place on individuals, emphasizing the need for well-resourced multidisciplinary healthcare services to support post-COVID recovery.

Source: Elboraay T, Ebada MA, Elsayed M, Aboeldahab HA, Salamah HM, Rageh O, Elmallahy M, AboElfarh HE, Mansour LS, Nabil Y, Eltawab AKA, Atwan H, Alkanj S. Long-term neurological and cognitive impact of COVID-19: a systematic review and meta-analysis in over 4 million patients. BMC Neurol. 2025 Jun 14;25(1):250. doi: 10.1186/s12883-025-04174-9. PMID: 40514644; PMCID: PMC12166599. https://pmc.ncbi.nlm.nih.gov/articles/PMC12166599/ (Full text)

Persistent immune dysregulation and metabolic alterations following SARS-CoV-2 infection

Abstract:

SARS-CoV-2 can cause a variety of post-acute sequelae including Long COVID19 (LC), a complex, multisystem disease characterized by a broad range of symptoms including fatigue, cognitive impairment, and post-exertional malaise. The pathogenesis of LC is incompletely understood.

In this study, we performed comprehensive cellular and transcriptional immunometabolic profiling within a cohort that included SARS-CoV-2-naïve controls (NC, N=30) and individuals with prior COVID-19 (~4-months) who fully recovered (RC, N=38) or went on to experience Long COVID symptoms (N=58).

Compared to the naïve controls, those with prior COVID-19 demonstrated profound metabolic and immune alterations at the proteomic, cellular, and epigenetic level. Specifically, there was an enrichment in immature monocytes with sustained inflammasome activation and oxidative stress, elevated arachidonic acid levels, decreased tryptophan, and variation in the frequency and phenotype of peripheral T-cells. Those with LC had increased CD8 T-cell senescence and a distinct transcriptional profile within CD4 and CD8 T-cells and monocytes by single cell RNA sequencing. Our findings support a profound and persistent immunometabolic dysfunction that follows SARS-CoV-2 which may form the pathophysiologic substrate for LC.

Our findings suggest that trials of therapeutics that help restore immune and metabolic homeostasis may be warranted to prevent, reduce, or resolve LC symptoms.

Source: Lage SL, Bricker-Holt K, Rocco JM, Rupert A, Donovan FX, Abramzon YA, Chandrasekharappa SC, McNinch C, Cook L, Amaral EP, Rosenfeld G, Dalhuisen T, Eun A, Hoh R, Fehrman E, Martin JN, Deeks SG, Henrich TJ, Peluso MJ, Sereti I. Persistent immune dysregulation and metabolic alterations following SARS-CoV-2 infection. medRxiv [Preprint]. 2025 Apr 17:2025.04.16.25325949. doi: 10.1101/2025.04.16.25325949. PMID: 40321289; PMCID: PMC12047922. https://pmc.ncbi.nlm.nih.gov/articles/PMC12047922/ (Full text)

Long COVID-19 autoantibodies and their potential effect on fertility

Abstract:

Impaired spermatogenesis has been reported in coronavirus disease 2019 (COVID-19) patients. However, the impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on male fertility remains unclear. The purpose of this multicenter study was to investigate the possible impact of SARS-CoV-2 infection on male fertility and determine the potential reasons leading to impaired male reproductive functions.

In silico approach identified ~60 amino acid sequences containing at least five continuous residues shared by SARS-CoV-2 Spike glycoprotein and spermatogenesis-linked proteins. Four synthetic peptides were tested with sera from independent cohorts of patients with acute and long COVID-19 syndrome (LCS), and naïve vaccinated subjects. Immunogenicity and pathogenicity studies were performed by immunizing mice with two selected peptides and testing the antigenicity of induced antibodies.

While none of four peptides were recognized by antibodies from vaccinated people, infected patients exhibited high reactivity to peptide 4, and LCS patients, especially women, showed elevated antibody levels against peptide 2. Women with LCS and chronic fatigue syndrome had higher levels of peptide 2-reacting antibodies than those with idiopathic chronic fatigue syndrome. Noteworthy, peptide 2 antibodies showed, in in vitro experiment, a specific interaction with mouse testicular tissue antigens.

These findings raise the possibility that cross-reactive epitopes between SARS-CoV-2 Spike protein and spermatogenesis-related antigens may affect infected patients’ fertility, suggesting a potential for autoimmune responses with human consequences.

Source: Talamini L, Fonseca DLM, Kanduc D, Chaloin O, Verdot C, Galmiche C, Dotan A, Filgueiras IS, Borghi MO, Meroni PL, Gavrilova NY, Ryabkova VA, Churilov LP, Halpert G, Lensch C, Thurner L, Fong SW, Ng LFP, Rénia L, Young BE, Lye DC, Lozano JM, Cabral-Marques O, Shoenfeld Y, Muller S. Long COVID-19 autoantibodies and their potential effect on fertility. Front Immunol. 2025 May 27;16:1540341. doi: 10.3389/fimmu.2025.1540341. PMID: 40496870; PMCID: PMC12149208.  https://pmc.ncbi.nlm.nih.gov/articles/PMC12149208/ (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.12 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 MEHow pandemics reshape our brain: common links and targets between long-haul COVID-19, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), oxidative stress, and neurodegenerationNeuroprotection202518doi:10.1002/nep3.70007 https://onlinelibrary.wiley.com/doi/10.1002/nep3.70007 (Full text)

 

Comprehensive transcriptome assessment in PBMCs of post-COVID patients at a median follow-up of 28 months after a mild COVID infection reveals upregulation of JAK/STAT signaling and a prolonged immune response

Abstract:

Background: Post-acute sequelae of SARS-CoV-2 infection (PASC), also known as post-COVID-19 condition (here abbreviated as post-COVID) is an escalating global health issue. The aim of our study was to investigate the mechanisms and clinical manifestations of post-COVID following a mild SARS-CoV-2 infection.

Methods: We analyzed the gene expression profile in PBMCs from 60 middle-aged post-COVID patients and 50 age-matched controls at a median time of 28 months following a mild SARS-CoV-2 infection. The clinical assessments included intensity of post-COVID symptoms, physical and mental fatigue, depression and anxiety. Sixty-seven participants performed a mild exertion ergometer test with assessment of lactate concentrations. Transcriptome analysis was performed on mRNA selected by poly-A enrichment and SARS-CoV-2 RNA fragments were analyzed using the ARTIC protocol.

Results: We identified 463 differentially expressed transcripts in PBMCs, of which 324 were upregulated and 129 downregulated in post-COVID patients. Upregulated genes in post-COVID individuals were enriched for processes involving JAK-STAT signaling, negative regulation of ubiquitination, IL9 signaling, and negative regulation of viral process, suggesting chronic inflammation. Downregulated genes were enriched for processes involving mitochondrial ATP synthesis, and oxidative phosphorylation, suggesting mitochondrial dysfunction. No SARS-CoV-2 gene fragments were detected in PBMCs of patients with post-COVID and no IFN genes were found differentially expressed in post-COVID patients. Post-COVID was associated with elevated lactate levels in blood, both at rest and after a short recovery phase following exertion, suggesting increased anaerobic activity in skeletal muscles. We did not find differences in the transcriptional profiles or clinical manifestations when comparing patients who contracted the infection from early SARS-CoV-2 variants with those who contracted the infection during the period when the Omicron variant was prevalent.

Conclusions: Our findings highlight molecular changes compatible with a persistent immune response in PBMCs of post-COVID subjects at a median follow-up of 28 months after a mild infection, supporting the hypothesis that post-COVID is a chronic inflammatory condition. The upregulation of JAK/STAT signaling suggests a potential therapeutic target in post-COVID.

Source: Serena Fineschi, Joakim Klar, Juan Ramon Lopez Egido, Jens Schuster, Jonas Bergquist, Ren Kaden, Niklas Dahl.Comprehensive transcriptome assessment in PBMCs of post-COVID patients at a median follow-up of 28 months after a mild COVID infection reveals upregulation of JAK/STAT signaling and a prolonged immune response.Front. Immunol., 29 May 2025. Viral Immunology: Volume 16 – 2025 | https://doi.org/10.3389/fimmu.2025.1589589 https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2025.1589589/full (Full text)

Precision phenotyping for curating research cohorts of patients with unexplained post-acute sequelae of COVID-19

Abstract:

Background: Scalable identification of patients with post-acute sequelae of COVID-19 (PASC) is challenging due to a lack of reproducible precision phenotyping algorithms, which has led to suboptimal accuracy, demographic biases, and underestimation of the PASC.

Methods: In a retrospective case-control study, we developed a precision phenotyping algorithm for identifying cohorts of patients with PASC. We used longitudinal electronic health records data from over 295,000 patients from 14 hospitals and 20 community health centers in Massachusetts. The algorithm employs an attention mechanism to simultaneously exclude sequelae that prior conditions can explain and include infection-associated chronic conditions. We performed independent chart reviews to tune and validate the algorithm.

Findings: The PASC phenotyping algorithm improves precision and prevalence estimation and reduces bias in identifying PASC cohorts compared to the ICD-10-CM code U09.9. The algorithm identified a cohort of over 24,000 patients with 79.9% precision. Our estimated prevalence of PASC was 22.8%, which is close to the national estimates for the region. We also provide in-depth analyses, encompassing identified lingering effects by organ, comorbidity profiles, and temporal differences in the risk of PASC.

Conclusions: PASC precision phenotyping boasts superior precision and prevalence estimation while exhibiting less bias in identifying patients with PASC. The cohort derived from this algorithm will serve as a springboard for delving into the genetic, metabolomic, and clinical intricacies of PASC, surmounting the constraints of prior PASC cohort studies.

Source: Azhir A, Hügel J, Tian J, Cheng J, Bassett IV, Bell DS, Bernstam EV, Farhat MR, Henderson DW, Lau ES, Morris M, Semenov YR, Triant VA, Visweswaran S, Strasser ZH, Klann JG, Murphy SN, Estiri H. Precision phenotyping for curating research cohorts of patients with unexplained post-acute sequelae of COVID-19. Med. 2025 Mar 14;6(3):100532. doi: 10.1016/j.medj.2024.10.009. Epub 2024 Nov 8. PMID: 39520983; PMCID: PMC11911085. https://pmc.ncbi.nlm.nih.gov/articles/PMC11911085/ (Full text)

Impact of the COVID-19 Pandemic and the 2021 National Institute for Health and Care Excellence Guidelines on Public Perspectives Toward Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Thematic and Sentiment Analysis on Twitter (Rebranded as X)

Abstract:

Background: Myalgic encephalomyelitis (ME), also referred to as chronic fatigue syndrome (CFS), is a complex illness that typically presents with disabling fatigue and cognitive and functional impairment. The etiology and management of ME/CFS remain contentious and patients often describe their experiences through social media.

Objective: We explored public discourse on Twitter (rebranded as X) to understand the concerns and priorities of individuals living with ME/CFS, with a focus on (1) the COVID-19 pandemic and (2) publication of the 2021 UK National Institute for Health and Care Excellence (NICE) guidelines on the diagnosis and management of ME/CFS.

Methods: We used the Twitter application programming interface to collect tweets related to ME/CFS posted between January 1, 2010, and January 30, 2024. Tweets were sorted into 3 chronological periods (pre-COVID-19 pandemic, post-COVID-19 pandemic, and post-UK 2021 NICE Guidelines publication). A Robustly Optimized Bidirectional Embedding Representations from Transformers Pretraining Approach (RoBERTa) language processing model was used to categorize the sentiment of tweets as positive, negative, or neutral. We identified tweets that mentioned COVID-19, the UK NICE guidelines, and key themes identified through latent Dirichlet allocation (ie, fibromyalgia, research, and treatment). We sampled 1000 random tweets from each theme to identify subthemes and representative quotes.

Results: We retrieved 906,404 tweets, of which 427,824 (47.2%) were neutral, 369,371 (40.75%) were negative, and 109,209 (12.05%) were positive. Over time, both the proportion of negative and positive tweets increased, and the proportion of neutral tweets decreased (P<.001 for all changes). Tweets mentioning fibromyalgia acknowledged similarities with ME/CFS, stigmatization associated with both disorders, and lack of effective treatments. Treatment-related tweets often described frustration with ME/CFS labeled as mental illness, dismissal of concerns by health care providers, and the need to seek out “good physicians” who viewed ME/CFS as a physical disorder. Tweets on research typically praised studies of biomarkers and biomedical therapies, called for greater investment in biomedical research, and expressed frustration with studies suggesting a biopsychosocial etiology for ME/CFS or supporting management with psychotherapy or graduated activity. Tweets about the UK NICE guidelines expressed frustration with the 2007 version that recommended cognitive behavioral therapy and graded exercise therapy, and a prolonged campaign by advocacy organizations to influence subsequent versions. Tweets showed high acceptance of the 2021 UK NICE guidelines, which were seen to validate ME/CFS as a biomedical disease and recommended against graded exercise therapy. Tweets about COVID-19 often noted overlaps between post-COVID-19 condition and ME/CFS, including claims of a common biological pathway, and advised there was no cure for either condition.

Conclusions: Our findings suggest research is needed to inform how best to support patients’ engagement with evidence-based care. Furthermore, while patient involvement with ME/CFS research is critical, unmanaged intellectual conflicts of interest may threaten the trustworthiness of research efforts.

Source: Khakban I, Jain S, Gallab J, Dharmaraj B, Zhou F, Lokker C, Abdelkader W, Zeraatkar D, Busse JW. Impact of the COVID-19 Pandemic and the 2021 National Institute for Health and Care Excellence Guidelines on Public Perspectives Toward Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Thematic and Sentiment Analysis on Twitter (Rebranded as X). J Med Internet Res. 2025 May 21;27:e65087. doi: 10.2196/65087. PMID: 40397934. https://www.jmir.org/2025/1/e65087 (Full text)

Gastrointestinal Barrier Disruption in Post-COVID Syndrome Fatigue Patients

Abstract:

Background: Post-COVID Syndrome (PCS) is the term for a condition with persistent symptoms in a proportion of COVID-19 patients after asymptomatic, mild, or severe disease courses. Numbers vary, but the current estimate is that after COVID-19 approximately 10% develop PCS. The aim of our study was to evaluate the impact of SARS-CoV-2 infection on the gastrointestinal (GI) tract and associations with the development of PCS with fatigue, post-exertional malaise (PEM), orthostatic dysregulation, autonomous dysregulation, and/or neurocognitive dysregulation.

Methods: By combining medical record data from a prospective observational study with symptom analysis before, during, and after SARS-CoV-2 infection, we aimed to identify potential risk factors and predictive markers for PCS. Additionally, we analyzed blood, saliva, and stool samples from this well-characterized PCS patient cohort to biologically validate our findings.

Results: We identified significant associations between pre-existing GI complaints and the development of PCS Fatigue. PCS patients showed higher LBP/sCD14 ratios, lower IL-33 levels, and higher IL-6 levels compared to control groups. Our results highlight the critical role of the GI tract in PCS development of post-viral Fatigue.

Conclusion: We propose that the viral infection disrupts pathways related to the innate immune response and GI barrier function, evidenced by intestinal low-grade inflammation and GI barrier leakage. Monitoring GI symptoms and markers before, during, and after SARS-CoV-2 infection is crucial for identifying predictive clinical phenotypes in PCS. Understanding the interaction between viral infections, immune responses, and gut integrity could lead to more effective diagnostic and treatment strategies, ultimately reducing the burden on PCS patients.

Source: Rohrhofer J, Wolflehner V, Schweighardt J, Koidl L, Stingl M, Zehetmayer S, Séneca J, Pjevac P, Untersmayr E. Gastrointestinal Barrier Disruption in Post-COVID Syndrome Fatigue Patients. Allergy. 2025 May 15. doi: 10.1111/all.16593. Epub ahead of print. PMID: 40372110. https://onlinelibrary.wiley.com/doi/10.1111/all.16593 (Full text)