Tag: CD4

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)

HERV activation segregates ME/CFS from fibromyalgia while defining a novel nosologic entity

Abstract:

Research of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and fibromyalgia (FM), two acquired chronic illnesses affecting mainly females, has failed to ascertain their frequent co-appearance and etiology. Despite prior detection of human endogenous retrovirus (HERV) activation in these diseases, the potential biomarker value of HERV expression profiles for their diagnosis, and the relationship of HERV expression profiles with patient immune systems and symptoms had remained unexplored.

By using HERV-V3 high-density microarrays (including over 350k HERV elements and more than 1500 immune-related genes) to interrogate the transcriptomes of peripheral blood mononuclear cells from female patients diagnosed with ME/CFS, FM, or both, and matched healthy controls (n = 43), this study fills this gap of knowledge. Hierarchical clustering of HERV expression profiles strikingly allowed perfect participant assignment into four distinct groups: ME/CFS, FM, co-diagnosed, or healthy, pointing at a potent biomarker value of HERV expression profiles to differentiate between these hard-to-diagnose chronic syndromes.

Differentially expressed HERV-immune-gene modules revealed unique profiles for each of the four study groups and highlighting decreased γδ T cells, and increased plasma and resting CD4 memory T cells, correlating with patient symptom severity in ME/CFS. Moreover, activation of HERV sequences coincided with enrichment of binding sequences targeted by transcription factors which recruit SETDB1 and TRIM28, two known epigenetic silencers of HERV, in ME/CFS, offering a mechanistic explanation for the findings.

Unexpectedly, HERV expression profiles appeared minimally affected in co-diagnosed patients denoting a new nosological entity with low epigenetic impact, a seemingly relevant aspect for the diagnosis and treatment of this prevalent group of patients.

Source: Giménez-Orenga K, Martín-Martínez E, Nathanson L, Oltra E. HERV activation segregates ME/CFS from fibromyalgia while defining a novel nosologic entity. Elife. 2025 May 8;14:RP104441. doi: 10.7554/eLife.104441. PMID: 40338225. https://elifesciences.org/articles/104441 (Full text)

Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex, heterogeneous, and systemic disease defined by a suite of symptoms, including unexplained persistent fatigue, post-exertional malaise (PEM), cognitive impairment, myalgia, orthostatic intolerance, and unrefreshing sleep. The disease mechanism of ME/CFS is unknown, with no effective curative treatments.

In this study, we present a multi-site ME/CFS whole-genome analysis, which is powered by a novel deep learning framework, HEAL2. We show that HEAL2 not only has predictive value for ME/CFS based on personal rare variants, but also links genetic risk to various ME/CFS-associated symptoms. Model interpretation of HEAL2 identifies 115 ME/CFS-risk genes that exhibit significant intolerance to loss-of-function (LoF) mutations. Transcriptome and network analyses highlight the functional importance of these genes across a wide range of tissues and cell types, including the central nervous system (CNS) and immune cells.

Patient-derived multi-omics data implicate reduced expression of ME/CFS risk genes within ME/CFS patients, including in the plasma proteome, and the transcriptomes of B and T cells, especially cytotoxic CD4 T cells, supporting their disease relevance. Pan-phenotype analysis of ME/CFS genes further reveals the genetic correlation between ME/CFS and other complex diseases and traits, including depression and long COVID-19.

Overall, HEAL2 provides a candidate genetic-based diagnostic tool for ME/CFS, and our findings contribute to a comprehensive understanding of the genetic, molecular, and cellular basis of ME/CFS, yielding novel insights into therapeutic targets. Our deep learning model also offers a potent, broadly applicable framework for parallel rare variant analysis and genetic prediction for other complex diseases and traits.

Source: Zhang S, Jahanbani F, Chander V, Kjellberg M, Liu M, Glass KA, Iu DS, Ahmed F, Li H, Maynard RD, Chou T, Cooper-Knock J, Zhang MJ, Thota D, Zeineh M, Grenier JK, Grimson A, Hanson MR, Snyder MP. Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis. medRxiv [Preprint]. 2025 Apr 16:2025.04.15.25325899. doi: 10.1101/2025.04.15.25325899. PMID: 40321247; PMCID: PMC12047926. https://pmc.ncbi.nlm.nih.gov/articles/PMC12047926/ (Full text available as PDF file)

Mapping the Complexity of ME/CFS: Evidence for Abnormal Energy Metabolism, Altered Immune Profile and Vascular Dysfunction

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex disorder with no known underlying mechanisms, diagnostic tools, or treatments.  Multiple areas of dysfunction have been extensively studied, but rarely examined together. We recruited age- and sex-matched ME/CFS patients and healthy controls for a multi-modal study examining energy metabolism, immune profiles and plasma protein levels.

Elevated levels of adenosine monophosphate (AMP) were detected in both plasma and immune cells. Additionally, immune cells showed higher levels of adenosine diphosphate (ADP) and a reduced adenosine triphosphate/adenosine diphosphate (ATP/ADP) ratio.

These findings imply decreased ATP generation and the presence of energy stress within the immune cell population. Adaptive immune cell populations were skewed towards less mature effector subsets of CD4+, CD8+ and gd T cells, and proportions of CD1c+CD141-conventional DC type 2 (cDC2) and CD56lowCD16+ terminal natural killer (NK) cells were also reduced. Elevated levels of plasma proteins associated with thrombus formation and vascular reactivity may contribute to the endothelial dysfunction observed in ME/CFS patients. Using Classification and Regression Tree (CART) modelling, we identified variables from each mode of investigation with strong predictive potential for ME/CFS. Together, this study provides new insights into the somatic symptoms and underlying biology of ME/CFS.

Source: Heng, Ruiwen Benjamin and Gunasegaran, Bavani and Krishnamurthy, Shivani and Bustamante, Sonia and Staats, Ananda and Chow, Sharron and Ahn, Seong Beom and Paul-Heng, Moumita and Maciver, Yolande and Smith, Kirsten and Tran, Denise Phuong and Howley, Peter P. and Bilgin, Ayse Aysin and Sharland, Alexandra and Schloeffel, Richard and Guillemin, Gilles J. and Administrator, Sneak Peek, Mapping the Complexity of ME/CFS: Evidence for Abnormal Energy Metabolism, Altered Immune Profile and Vascular Dysfunction. Available at SSRN: https://ssrn.com/abstract=5131664 or http://dx.doi.org/10.2139/ssrn.5131664  https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5131664 (Full text available as PDF file)

Hypocortisolemic ASIA: a vaccine- and chronic infection-induced syndrome behind the origin of long COVID and myalgic encephalomyelitis

Abstract:

Myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS), long COVID (LC) and post-COVID-19 vaccine syndrome show similarities in their pathophysiology and clinical manifestations. These disorders are related to viral or adjuvant persistence, immunological alterations, autoimmune diseases and hormonal imbalances.

A developmental model is postulated that involves the interaction between immune hyperactivation, autoimmune hypophysitis or pituitary hypophysitis, and immune depletion. This process might begin with a deficient CD4 T-cell response to viral infections in genetically predisposed individuals (HLA-DRB1), followed by an uncontrolled immune response with CD8 T-cell hyperactivation and elevated antibody production, some of which may be directed against autoantigens, which can trigger autoimmune hypophysitis or direct damage to the pituitary, resulting in decreased production of pituitary hormones, such as ACTH. As the disease progresses, prolonged exposure to viral antigens can lead to exhaustion of the immune system, exacerbating symptoms and pathology.

It is suggested that these disorders could be included in the autoimmune/adjuvant-induced inflammatory syndrome (ASIA) because of their similar clinical manifestations and possible relationship to genetic factors, such as polymorphisms in the HLA-DRB1 gene. In addition, it is proposed that treatment with antivirals, corticosteroids/ginseng, antioxidants, and metabolic precursors could improve symptoms by modulating the immune response, pituitary function, inflammation and oxidative stress.

Therefore, the purpose of this review is to suggest a possible autoimmune origin against the adenohypophysis and a possible improvement of symptoms after treatment with corticosteroid replacement therapy.

Source: Manuel Ruiz-Pablos, Bruno Paiva, Aintzane Zabaleta. Hypocortisolemic ASIA: a vaccine- and chronic infection-induced syndrome behind the origin of long COVID and myalgic encephalomyelitis. Front. Immunol., 08 July 2024, Sec. Viral Immunology, Volume 15 – 2024 | https://doi.org/10.3389/fimmu.2024.1422940 https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1422940/full (Full text)

Diverse immunological dysregulation, chronic inflammation, and impaired erythropoiesis in long COVID patients with chronic fatigue syndrome

Abstract:

A substantial number of patients recovering from acute SARS-CoV-2 infection present serious lingering symptoms, often referred to as long COVID (LC). However, a subset of these patients exhibits the most debilitating symptoms characterized by ongoing myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS).

We specifically identified and studied ME/CFS patients from two independent LC cohorts, at least 12 months post the onset of acute disease, and compared them to the recovered group (R). ME/CFS patients had relatively increased neutrophils and monocytes but reduced lymphocytes. Selective T cell exhaustion with reduced naïve but increased terminal effector T cells was observed in these patients. LC was associated with elevated levels of plasma pro-inflammatory cytokines, chemokines, Galectin-9 (Gal-9), and artemin (ARTN). A defined threshold of Gal-9 and ARTN concentrations had a strong association with LC.

The expansion of immunosuppressive CD71+ erythroid cells (CECs) was noted. These cells may modulate the immune response and contribute to increased ARTN concentration, which correlated with pain and cognitive impairment. Serology revealed an elevation in a variety of autoantibodies in LC. Intriguingly, we found that the frequency of 2B4+CD160+ and TIM3+CD160+ CD8+ T cells completely separated LC patients from the R group.

Our further analyses using a multiple regression model revealed that the elevated frequency/levels of CD4 terminal effector, ARTN, CEC, Gal-9, CD8 terminal effector, and MCP1 but lower frequency/levels of TGF-β and MAIT cells can distinguish LC from the R group. Our findings provide a new paradigm in the pathogenesis of ME/CFS to identify strategies for its prevention and treatment.

Source: Saito S, Shahbaz S, Osman M, Redmond D, Bozorgmehr N, Rosychuk RJ, Lam G, Sligl W, Cohen Tervaert JW, Elahi S. Diverse immunological dysregulation, chronic inflammation, and impaired erythropoiesis in long COVID patients with chronic fatigue syndrome. J Autoimmun. 2024 May 25;147:103267. doi: 10.1016/j.jaut.2024.103267. Epub ahead of print. PMID: 38797051. https://www.sciencedirect.com/science/article/pii/S089684112400101X (Full text)

Systems-level temporal immune-metabolic profile in Crimean-Congo hemorrhagic fever virus infection

Abstract:

Crimean-Congo hemorrhagic fever (CCHF) caused by CCHF virus (CCHFV) is one of the epidemic-prone diseases prioritized by the World Health Organisation as public health emergency with an urgent need for accelerated research. The trajectory of host response against CCHFV is multifarious and remains unknown. Here, we reported the temporal spectrum of pathogenesis following the CCHFV infection using genome-wide blood transcriptomics analysis followed by advanced systems biology analysis, temporal immune-pathogenic alterations, and context-specific progressive and postinfection genome-scale metabolic models (GSMM) on samples collected during the acute (T0), early convalescent (T1), and convalescent-phase (T2).

The interplay between the retinoic acid-inducible gene-I-like/nucleotide-binding oligomerization domain-like receptor and tumor necrosis factor signaling governed the trajectory of antiviral immune responses. The rearrangement of intracellular metabolic fluxes toward the amino acid metabolism and metabolic shift toward oxidative phosphorylation and fatty acid oxidation during acute CCHFV infection determine the pathogenicity. The upregulation of the tricarboxylic acid cycle during CCHFV infection, compared to the noninfected healthy control and between the severity groups, indicated an increased energy demand and cellular stress. The upregulation of glycolysis and pyruvate metabolism potentiated energy generation through alternative pathways associated with the severity of the infection.

The downregulation of metabolic processes at the convalescent phase identified by blood cell transcriptomics and single-cell type proteomics of five immune cells (CD4+ and CD8+ T cells, CD14+ monocytes, B cells, and NK cells) potentially leads to metabolic rewiring through the recovery due to hyperactivity during the acute phase leading to post-viral fatigue syndrome.

Source: Ambikan AT, Elaldi N, Svensson-Akusjärvi S, Bagci B, Pektas AN, Hewson R, Bagci G, Arasli M, Appelberg S, Mardinoglu A, Sood V, Végvári Á, Benfeitas R, Gupta S, Cetin I, Mirazimi A, Neogi U. Systems-level temporal immune-metabolic profile in Crimean-Congo hemorrhagic fever virus infection. Proc Natl Acad Sci U S A. 2023 Sep 12;120(37):e2304722120. doi: 10.1073/pnas.2304722120. Epub 2023 Sep 5. PMID: 37669378; PMCID: PMC10500270. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500270/ (Full text)

Immune cell exhaustion, dysfunction, and metabolism in myalgic encephalomyelitis/chronic fatigue syndrome

Abstract;
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a chronic and incapacitating multisystem condition with unknown etiology, no cure, and no FDA- approved treatments, all of which can be attributed to historical underfunding, widespread misinformation, and the complexity of the disease. Many patients encounter several immune-related symptoms, extreme fatigue, post-exertional malaise, and a flu-like onset. Studies have documented changes in ME/CFS immune cell populations and decreased natural killer (NK) cell performance, along with aberrant cytokine production, reduced glycolysis in T cells, and altered metabolites relevant to fatty acid oxidation, implicating potential intracellular metabolic dysregulation.
This knowledge prompted me to investigate fatty acid oxidation and immune cell functional states in isolated ME/CFS lymphocytes. Using extracellular flux analysis and flow cytometry, I observed elevated fatty acid oxidation levels in ME/CFS immune cells, including NK cells, CD4+ memory cells, CD4+ effector cells, CD8+ naïve cells, and CD8+ memory cells compared to healthy controls, particularly during high energy demands and activation. My findings suggest a metabolic dysfunction in ME/CFS immune cells, consistent with T cell exhaustion – a state that hinders immune cell proliferation, survival, and cytokine production following persistent antigen stimulation.
Building upon these results, I further investigated immune cell exhaustion and dysfunction in isolated CD8+ and CD4+ T cells from ME/CFS and healthy samples. I analyzed T cell sub-populations, including naïve, effector, memory, regulatory, and helper T cells, for frequencies of inhibitory receptors and transcription factors associated with dysfunctional immune cell states.
I detected distinct transcription factor dynamics and elevated exhausted T cell phenotype proportions in ME/CFS CD8+ T cell populations compared to healthy controls. In ME/CFS CD4+ T cells, I also observed altered inhibitory receptor population frequencies compared to healthy control samples. Moreover, dysfunctional T cell features correlated with ME/CFS health status and symptom presentation.
Overall, my findings detect dysfunctional T cell states in specific ME/CFS cell populations, which can lead to reduced effector function that may contribute to ME/CFS symptom presentation. This work highlights the significance of assessing both metabolic components and immune cell dysfunction-associated targets in the development of potential therapeutic interventions for individuals with ME/CFS.
Source: Maya, Jessica. Immune cell exhaustion, dysfunction, and metabolism in myalgic encephalomyelitis/chronic fatigue syndrome. Cornell Theses and Dissertations. 2024. https://ecommons.cornell.edu/items/242f8723-6f87-47cc-b36d-bf51a21f4255

Blood T cell phenotypes correlate with fatigue severity in post-acute sequelae of COVID-19

Abstract:

Purpose: Post-acute sequelae of COVID-19 (PASC) affect approximately 10% of convalescent patients. The spectrum of symptoms is broad and heterogeneous with fatigue being the most often reported sequela. Easily accessible blood biomarkers to determine PASC severity are lacking. Thus, our study aimed to correlate immune phenotypes with PASC across the severity spectrum of COVID-19.

Methods: A total of 176 originally immunonaïve, convalescent COVID-19 patients from a prospective cohort during the first pandemic phase were stratified by initial disease severity and underwent clinical, psychosocial, and immune phenotyping around 10 weeks after first COVID-19 symptoms. COVID-19-associated fatigue dynamics were assessed and related to clinical and immune phenotypes.

Results: Fatigue and severe fatigue were commonly reported irrespective of initial COVID-19 severity or organ-specific PASC. A clinically relevant increase in fatigue severity after COVID-19 was detected in all groups. Neutralizing antibody titers were higher in patients with severe acute disease, but no association was found between antibody titers and PASC. While absolute peripheral blood immune cell counts in originally immunonaïve PASC patients did not differ from unexposed controls, peripheral CD3+CD4+ T cell counts were independently correlated with fatigue severity across all strata in multivariable analysis.

Conclusions: Patients were at similar risk of self-reported PASC irrespective of initial disease severity. The independent correlation between fatigue severity and blood T cell phenotypes indicates a possible role of CD4+ T cells in the pathogenesis of post-COVID-19 fatigue, which might serve as a blood biomarker.

Source: Pink, I., Hennigs, J.K., Ruhl, L. et al. Blood T cell phenotypes correlate with fatigue severity in post-acute sequelae of COVID-19. Infection (2023). https://doi.org/10.1007/s15010-023-02114-8 https://link.springer.com/article/10.1007/s15010-023-02114-8 (Full text)

Cytometry profiling of ex vivo recall responses to Coxiella burnetii in previously naturally exposed individuals reveals long-term changes in both adaptive and innate immune cellular compartments

Abstract:

Introduction: Q fever, caused by the intracellular bacterium Coxiella burnetii, is considered an occupational and biodefense hazard and can result in debilitating long-term complications. While natural infection and vaccination induce humoral and cellular immune responses, the exact nature of cellular immune responses to C. burnetii is incompletely understood. The current study seeks to investigate more deeply the nature of long-term cellular recall responses in naturally exposed individuals by both cytokine release assessment and cytometry profiling.

Methods: Individuals exposed during the 2007-2010 Dutch Q fever outbreak were grouped in 2015, based on a C. burnetii-specific IFNγ release assay (IGRA), serological status, and self-reported clinical symptoms during initial infection, into asymptomatic IGRA-negative/seronegative controls, and three IGRA-positive groups (seronegative/asymptomatic; seropositive/asymptomatic and seropositive/symptomatic). Recall responses following in vitro re-stimulation with heat-inactivated C. burnetii in whole blood, were assessed in 2016/2017 by cytokine release assays (n=55) and flow cytometry (n=36), and in blood mononuclear cells by mass cytometry (n=36).

Results: Cytokine release analysis showed significantly elevated IL-2 responses in all seropositive individuals and elevated IL-1β responses in those recovered from symptomatic infection. Comparative flow cytometry analysis revealed significantly increased IFNγ, TNFα and IL-2 recall responses by CD4 T cells and higher IL-6 production by monocytes from symptomatic, IGRA-positive/seropositive individuals compared to controls. Mass cytometry profiling and unsupervised clustering analysis confirmed recall responses in seropositive individuals by two activated CD4 T cell subsets, one characterized by a strong Th1 cytokine profile (IFNγ+IL-2+TNFα+), and identified C. burnetii-specific activation of CD8 T cells in all IGRA-positive groups. Remarkably, increased C. burnetii-specific responses in IGRA-positive individuals were also observed in three innate cell subpopulations: one characterized by an IFNγ+IL-2+TNFα+ Th1 cytokine profile and lack of canonical marker expression, and two IL-1β-, IL-6- and IL-8-producing CD14+ monocyte subsets that could be the drivers of elevated secretion of innate cytokines in pre-exposed individuals.

Discussion: These data highlight that there are long-term increased responses to C. burnetii in both adaptive and innate cellular compartments, the latter being indicative of trained immunity. These findings warrant future studies into the protective role of these innate responses and may inform future Q fever vaccine design.

Source: Raju Paul S, Scholzen A, Reeves PM, Shepard R, Hess JM, Dzeng RK, Korek S, Garritsen A, Poznansky MC, Sluder AE. Cytometry profiling of ex vivo recall responses to Coxiella burnetii in previously naturally exposed individuals reveals long-term changes in both adaptive and innate immune cellular compartments. Front Immunol. 2023 Oct 11;14:1249581. doi: 10.3389/fimmu.2023.1249581. PMID: 37885896; PMCID: PMC10598782. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598782/ (Full text)