Plasma proteomic profile reveals persistent immune activation in post-acute sequelae of SARS-CoV-2 infection

Abstract:

Plasma proteomic profiling of 92 individuals with Post-Acute Sequelae of SARS-CoV-2 infection (PASC), assessed a mean of 34 months after acute infection, revealed a distinct inflammatory signature. Using proximity extension assay technology, 358 proteins were quantified, identifying 26 differentially expressed proteins (DEPs) in PASC: 23 upregulated and 3 downregulated.

The most upregulated proteins were Oncostatin M (OSM) and IL-1 receptor antagonist (IL1RN). Additional increases were observed in IL-6, IL-12B, IL-2, CCL22, CSF3, CSF1, and HLA-DRA, as well as proteins involved in tissue remodeling and angiogenesis such as ANGPTL2 and TGFA. Random forest analysis confirmed IL1RN, OSM, ANGPTL2, HLA-DRA, and CLEC4A as strong discriminators between patients and controls.

Gene set enrichment analysis demonstrated activation of multiple immune pathways, including Inflammatory Response, TNF-α/NF-κB signaling, IL-6/JAK/STAT3, IL-2/STAT5, and Allograft Rejection, indicating persistent activation of innate and adaptive immunity. STRING network analysis highlighted a tightly connected cytokine-driven inflammatory module. Plasma spike protein levels did not differ between patients and controls, suggesting that PASC-related inflammation may persist independently of ongoing viral replication.

Overall, the findings indicate a consistent low-grade inflammatory state in PASC without evidence for distinct biological subtypes.

Source: Fineschi S, Klar J, Schuster J, Bergquist J and Dahl N (2026) Plasma proteomic profile reveals persistent immune activation in post-acute sequelae of SARS-CoV-2 infection. Front. Immunol. 17:1775044. doi: 10.3389/fimmu.2026.1775044  https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2026.1775044/full (Full text)

Altered effort and deconditioning are not valid explanations of myalgic encephalomyelitis/chronic fatigue syndrome

Letter:

Response to B. Walitt et al. Nature Communications https://doi.org/10.1038/s41467-024-45107-3 (2024)

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex, systemic disease with significant pathophysiological uncertainties and variable presentations1. Here, we challenge Walitt et al.’s2 conclusion that post-infectious (PI) ME/CFS is a disorder defined by altered effort preference, leading to activity avoidance and subsequent deconditioning. We believe this interpretation risks reinforcing skepticism about the serious biological nature of ME/CFS and its hallmark of post-exertional malaise (PEM), as well as its potential misclassification as a mental health condition.

Walitt et al.2 utilized a single CPET to evaluate systems-level physiological responses to exercise. However, this methodology does not allow for measuring responses after an initial exertion, which is critically important for fully understanding PEM3. Over the past two decades, 2-day CPET has been used to characterize the systems-level metabolism of ME/CFS3. This paradigm uses an initial maximal CPET to establish the individual’s baseline performance and as a participant-referenced method to induce PEM4. A second maximal CPET is then conducted 24 h later to measure physiological and perceptual responses to exercise during the post-exertional state4. Standard objective criteria to evaluate effort are used to ensure maximal testing, including the respiratory exchange ratio at peak exertion4. This removes uncertainty related to effort. Meta-analyses involving participants with ME/CFS who have completed 2-day CPET indicate characteristic declines in the volume of oxygen consumed, work rate, and heart rate (HR) at submaximal exertion on the second CPET. These findings are reliably observed in people with ME/CFS but not deconditioned individuals5,6,7. Accordingly, the Institute of Medicine (IOM) cautioned that “a single CPET may be insufficient to document the abnormal response of ME/CFS patients to exercise.”1 (p. 106)

Using a single CPET introduces a threat to validity in Walitt et al.’s study2, as it did not allow for the measurement of submaximal performance decrement in the post-exertional state1,3,4,5,6. This is important because deconditioning and PEM are not mutually exclusive. Special care must be taken when applying and interpreting CPET results1. Failure to use 2-day CPET prevented the authors from adequately testing their conclusion that PEM is related to participants’ effort preference, as they did not evaluate physiological performance under conditions involving objective, standardized criteria for maximal exertion. Unfortunately, the use of a single CPET in this study contributed to the authors’ misinterpretation that PEM is synonymous with reduced effort and deconditioning.

Read the rest of this letter here: https://www.nature.com/articles/s41467-025-64538-0

Source: Davenport, T.E., Scheibenbogen, C., Zinn, M.A. et al. Altered effort and deconditioning are not valid explanations of myalgic encephalomyelitis/chronic fatigue syndrome. Nat Commun 16, 9176 (2025). https://doi.org/10.1038/s41467-025-64538-0 https://www.nature.com/articles/s41467-025-64538-0 (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)

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)

Central and peripheral kynurenine pathway metabolites in COVID-19: Implications for neurological and immunological responses

Abstract:

Long-term symptoms such as pain, fatigue, and cognitive impairments are commonly observed in individuals affected by coronavirus disease 2019 (COVID-19). Metabolites of the kynurenine pathway have been proposed to account for cognitive impairment in COVID-19 patients.

Here, cerebrospinal fluid (CSF) and plasma levels of kynurenine pathway metabolites in 53 COVID-19 patients and 12 non-inflammatory neurological disease controls in Sweden were measured with an ultra-performance liquid chromatography-tandem mass spectrometry system (UPLC-MS/MS) and correlated with immunological markers and neurological markers. Single cell transcriptomic data from a previous study of 130 COVID-19 patients was used to investigate the expression of key genes in the kynurenine pathway.

The present study reveals that the neuroactive kynurenine pathway metabolites quinolinic acid (QUIN) and kynurenic acid (KYNA) are increased in CSF in patients with acute COVID-19. In addition, CSF levels of kynurenine, ratio of kynurenine/tryptophan (rKT) and QUIN correlate with neurodegenerative markers.

Furthermore, tryptophan is significantly decreased in plasma but not in the CSF. In addition, the kynurenine pathway is strongly activated in the plasma and correlates with the peripheral immunological marker neopterin. Single-cell transcriptomics revealed upregulated gene expressions of the rate-limiting enzyme indoleamine 2,3- dioxygenase1 (IDO1) in CD14+ and CD16+ monocytes that correlated with type II-interferon response exclusively in COVID-19 patients.

In summary, our study confirms significant activation of the peripheral kynurenine pathway in patients with acute COVID-19 and, notably, this is the first study to identify elevated levels of kynurenine metabolites in the central nervous system associated with the disease. Our findings suggest that peripheral inflammation, potentially linked to overexpression of IDO1 in monocytes, activates the kynurenine pathway. Increased plasma kynurenine, crossing the blood-brain barrier, serves as a source for elevated brain KYNA and neurotoxic QUIN.

We conclude that blocking peripheral-to-central kynurenine transport could be a promising strategy to protect against neurotoxic effects of QUIN in COVID-19 patients.

Source: Li X, Edén A, Malwade S, Cunningham JL, Bergquist J, Weidenfors JA, Sellgren CM, Engberg G, Piehl F, Gisslen M, Kumlien E, Virhammar J, Orhan F, Rostami E, Schwieler L, Erhardt S. Central and peripheral kynurenine pathway metabolites in COVID-19: Implications for neurological and immunological responses. Brain Behav Immun. 2024 Nov 28:S0889-1591(24)00720-7. doi: 10.1016/j.bbi.2024.11.031. Epub ahead of print. PMID: 39615604. https://www.sciencedirect.com/science/article/abs/pii/S0889159124007207

Untargeted Metabolomics and Quantitative Analysis of Tryptophan Metabolites in Myalgic Encephalomyelitis Patients and Healthy Volunteers: A Comparative Study Using High-Resolution Mass Spectrometry

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic, complex illness characterized by severe and often disabling physical and mental fatigue. So far, scientists have not been able to fully pinpoint the biological cause of the illness and yet it affects millions of people worldwide.

To gain a better understanding of ME/CFS, we compared the metabolic networks in the plasma of 38 ME/CFS patients to those of 24 healthy control participants. This involved an untargeted metabolomics approach in addition to the measurement of targeted substances including tryptophan and its metabolites, as well as tyrosine, phenylalanine, B vitamins, and hypoxanthine using liquid chromatography coupled to mass spectrometry.

mass

Source: Abujrais S, Vallianatou T, Bergquist J. Untargeted Metabolomics and Quantitative Analysis of Tryptophan Metabolites in Myalgic Encephalomyelitis Patients and Healthy Volunteers: A Comparative Study Using High-Resolution Mass Spectrometry. ACS Chem Neurosci. 2024 Sep 20. doi: 10.1021/acschemneuro.4c00444. Epub ahead of print. PMID: 39302151. https://pubs.acs.org/doi/10.1021/acschemneuro.4c00444 (Full text)

Myalgic encephalomyelitis/chronic fatigue syndrome and fibromyalgia are indistinguishable by their cerebrospinal fluid proteomes

Abstract:

Background: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and fibromyalgia have overlapping neurologic symptoms particularly disabling fatigue. This has given rise to the question whether they are distinct central nervous system (CNS) entities or is one an extension of the other.

Material and methods: To investigate this, we used unbiased quantitative mass spectrometry-based proteomics to examine the most proximal fluid to the brain, cerebrospinal fluid (CSF). This was to ascertain if the proteome profile of one was the same or different from the other. We examined two separate groups of ME/CFS, one with (n = 15) and one without (n = 15) fibromyalgia.

Results: We quantified a total of 2083 proteins using immunoaffinity depletion, tandem mass tag isobaric labelling and offline two-dimensional liquid chromatography coupled to tandem mass spectrometry, including 1789 that were quantified in all the CSF samples. ANOVA analysis did not yield any proteins with an adjusted p value <.05.

Conclusion: This supports the notion that ME/CFS and fibromyalgia as currently defined are not distinct entities.

Key message: ME/CFS and fibromyalgia as currently defined are not distinct entities. Unbiased quantitative mass spectrometry-based proteomics can be used to discover cerebrospinal fluid proteins that are biomarkers for a condition such as we are studying.

Source: Schutzer SE, Liu T, Tsai CF, Petyuk VA, Schepmoes AA, Wang YT, Weitz KK, Bergquist J, Smith RD, Natelson BH. Myalgic encephalomyelitis/chronic fatigue syndrome and fibromyalgia are indistinguishable by their cerebrospinal fluid proteomes. Ann Med. 2023 Dec;55(1):2208372. doi: 10.1080/07853890.2023.2208372. Epub 2023 Sep 18. PMID: 37722890. https://www.tandfonline.com/doi/full/10.1080/07853890.2023.2208372 (Full text)