Category: Immune System

Advancing research on regulatory autoantibodies targeting GPCRs: Insights from the 5th international symposium

Abstract:

The 5th International Symposium on Regulatory Autoantibodies Targeting GPCR (RAB-GPCRs) advanced the understanding of the significant role played by autoantibodies targeting G-protein-coupled receptors (GPCRs) in various human diseases. Once considered passive markers, RAB-GPCRs are now recognized as active modulators of cellular signaling, immune regulation, and inflammation.

The symposium highlighted their involvement in multiple prominent pathologies, including autoimmune diseases, cardio- and cerebrovascular diseases, and neuroimmunologic disorders such as myalgic encephalomyelitis/chronic fatigue syndrome and post-COVID-19 syndrome (ME/CFS/PCS), as well as solid organ and hematopoietic stem cell transplantation (SOT/HSCT). Experts from rheumatology, immunology, and neurology presented interdisciplinary discussions on the potential of RAB-GPCRs as biomarkers and therapeutic targets. Advances in screening methods, biomarker identification, and therapeutic strategies were shared, emphasizing their diagnostic potential and application in novel therapeutic interventions.

This report summarizes key insights from the symposium, particularly focusing on the modulatory properties of RAB-GPCRs and their relevance in both immune-mediated diseases and other pathologies (e.g., vascular, degenerative) that are traditionally not considered primarily immune-mediated. Ongoing research is expected to further establish these autoantibodies as crucial components in disease modulation and systems biology contexts, offering new opportunities for precision medicine and improved clinical outcomes in immune-related disorders.

Source: Cabral-Marques O, Schimke LF, Moll G, Filgueiras IS, Nóbile AL, Adri AS, do Vale FYN, Usuda JN, Corrêa YLG, Albuquerque D, Nava RG, Santos RS, Dias HD, Silva HF, Marconi PB, Catar R, Adu-Gyamfi M, Wang P, Khan TA, Hackel AM, Leheis A, Stähle A, Müller A, Schmidt C, Radunovic C, Adjailia EB, Grasshoff H, Humrich JY, Menz J, Fourlakis K, Winziers M, Jäpel M, Wegner MV, Lamprecht P, Nieberding R, Akbarzadeh R, Arnold S, Jendrek S, Klapa S, Augustin S, Biedermann S, Schinke S, Scheerer P, Endres M, Schulze-Forster K, Paul F, Yu X, Sotzny F, Sakmar TP, Banasik M, Haghikia A, Hoffmann MH, Veprintsev D, Witte T, Dalmolin RJS, Ochs HD, Heidecke H, Scheibenbogen C, Shoenfeld Y, Riemekasten G. Advancing research on regulatory autoantibodies targeting GPCRs: Insights from the 5th international symposium. Autoimmun Rev. 2025 Jun 19:103855. doi: 10.1016/j.autrev.2025.103855. Epub ahead of print. PMID: 40543860. https://www.sciencedirect.com/science/article/pii/S1568997225001156 (Full text)

Causal relationship between immune cells and post-viral fatigue syndrome: a Mendelian randomization study

Abstract:

Background: Accumulating evidence has hinted at a correlation between immune cells and post-viral fatigue syndrome (PVFS). However, it is still ambiguous whether these associations indicate a causal connection.

Objective: To elucidate the potential causal link between immune cells and PVFS, we performed a two-sample Mendelian randomization (MR) study.

Methods: We obtained summary data on PVFS cases (Ncase = 195) and controls (Ncontrol = 382,198) from the FinnGen consortium. Additionally, we retrieved comprehensive statistical information on 731 immune cell features. Our analysis encompassed both forward and reverse MR approaches. To ensure the reliability and validity of our findings, we conducted rigorous sensitivity analyses, addressing issues of robustness and heterogeneity.

Result: Our study presents compelling evidence of a probable causal link between immune cells and PVFS. Notably, we have pinpointed 28 distinct types of immune cell traits that potentially exhibit a causal association with PVFS. Among a pool of 7 31 immune cell traits, we identified 28 immune cell types that exhibited a potential causal association with PVFS. These included 9 B cells, 1 conventional dendritic cell (cDC), 1 maturation stage of T cell, 3 myeloid cells, 9 T, B, NK, and monocyte cells (TBNK), and 5 regulatory T cells (Treg).

Conclusion: Through genetic analyses, our study has unveiled profound causal connections between specific types of immune cells and PVFS, offering valuable guidance for forthcoming clinical investigations.

Source: Wang Z, Bai Z, Sun Y. Causal relationship between immune cells and post-viral fatigue syndrome: a Mendelian randomization study. Virol J. 2025 May 30;22(1):171. doi: 10.1186/s12985-025-02809-4. PMID: 40448142; PMCID: PMC12124062. https://pmc.ncbi.nlm.nih.gov/articles/PMC12124062/ (Full text)

Evaluating the Causal Role of Genetically Inferred Immune Cells and Inflammatory Cytokines on Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Abstract:

Background/Objectives: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a multifaceted and diverse disorder with an ambiguous etiology. Recent evidence indicates that immune system impairment and inflammatory mechanisms are pivotal to the initiation and advancement of ME/CFS. Nonetheless, the causal relationships among these factors remain inadequately comprehended.

Methods: This study investigated the causative contributions of immunological dysfunction and inflammatory variables in ME/CFS utilizing genome-wide association study (GWAS) data. We employed Mendelian randomization (MR) to investigate associations between 91 inflammatory cytokines, 731 immune cell characteristics, and the risk of ME/CFS. Summary statistics for immune cell traits and inflammatory cytokines were sourced from European GWAS cohorts (n = 3757 and n = 14,824, respectively), while ME/CFS data were obtained from the UK Biobank (n = 462,933, including 2076 cases). We predominantly employed the inverse variance weighted (IVW) approach, complemented by MR-Egger, weighted median, BWMR, and MR-RAPS tests to guarantee robust and precise outcomes.

Results: The study revealed significant causal links between various inflammatory factors, immune cell characteristics, and the risk of ME/CFS. Increased CXCL5 and CCL20 levels were significantly linked to a higher risk of ME/CFS, while elevated TNF levels were inversely related to ME/CFS risk. Furthermore, 13 immune cell characteristics were identified as having substantial causal associations with the likelihood of ME/CFS. These data are supportive of the causality that immune system dysfunction and inflammatory variables play a pivotal role in the development of ME/CFS.

Conclusions: This study provides new insights into the causal role of immune system dysfunction in the development of ME/CFS, contributing to a deeper understanding of its underlying mechanisms. These results offer a foundation for identifying diagnostic biomarkers and developing targeted therapeutic strategies. Future research should validate these findings using multi-center cohort studies and further investigate the mechanisms behind key factors to enable the development of personalized treatment approaches.

Source: Duan L, Yang J, Zhao J, Chen Z, Yang H, Cai D. Evaluating the Causal Role of Genetically Inferred Immune Cells and Inflammatory Cytokines on Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. Biomedicines. 2025 May 15;13(5):1200. doi: 10.3390/biomedicines13051200. PMID: 40427027; PMCID: PMC12109099. https://pmc.ncbi.nlm.nih.gov/articles/PMC12109099/ (Full text)

Deep Immunophenotyping in ME/CFS Using Spectral Flow Cytometry

Abstract:

Immune dysfunction is reported to play a significant role in the etiology of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). To gain an understanding of the underlying immune abnormalities associated with this complex condition, a comprehensive approach for characterizing immune cell subsets and their inferred functional states is essential.

We developed a high-dimensional flow cytometry method that enables detailed immunophenotyping of peripheral blood mononuclear cells (PBMCs) from ME/CFS patients. By simultaneously measuring over 40 markers on individual cells within one sample, this approach provides a comprehensive assessment of immune cell subsets, incorporating effector or functional states, to enable assessment of their potential roles in disease pathogenesis.

Source: Gibson A, Chometon TQ, Damani T, Brooks AES. Deep Immunophenotyping in ME/CFS Using Spectral Flow Cytometry. Methods Mol Biol. 2025;2920:59-82. doi: 10.1007/978-1-0716-4498-0_5. PMID: 40372678. https://link.springer.com/protocol/10.1007/978-1-0716-4498-0_5

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)

Autoantibody targeting therapies in post COVID syndrome and myalgic encephalomyelitis/chronic fatigue syndrome

Introduction:

Following the shift of SARS-CoV-2 from pandemic to endemic, post COVID syndrome (PCS) joins the list of already known post-acute infection syndromes (PAIS) and its most severe manifestation, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The exact pathomechanism of PCS has not yet been fully understood. Immune dysregulation with persistent inflammation, microvascular injury with endothelial dysfunction, autonomic nervous system dysfunction, mitochondrial dysfunction, gut microbiome dysbiosis and persistence of SARS-CoV-2 virus or SARS-CoV-2 viral particles have been proposed [1].

Autoimmunity could be a linking element across various mechanisms and there is indeed mounting evidence that autoantibodies (AAbs) in particular play a role in a subset of PCS and ME/CFS. In ME/CFS there are now numerous studies showing elevated levels and altered functions of G-protein coupled receptor autoantibodies (GPCR AAbs) and their correlation with severity of key symptoms [2]. First trials with AAb-targeting therapies show promising though mixed results. These include studies directly targeting AAbs by removal with immunoadsorption or their enhanced degradation with efgartigimod or neutralization with BC007 (rovunaptabin). Further B cell depletion with rituximab or plasma cell depletion with daratumumab has yielded some positive but inconsistent results.

Source: Wohlrab F, Eltity M, Ufer F, Paul F, Scheibenbogen C, Bellmann-Strobl J. Autoantibody targeting therapies in post COVID syndrome and myalgic encephalomyelitis/chronic fatigue syndrome. Expert Opin Biol Ther. 2025 Apr 10. doi: 10.1080/14712598.2025.2492774. Epub ahead of print. PMID: 40211686. https://www.tandfonline.com/doi/full/10.1080/14712598.2025.2492774#d1e211 (Full text)

Advocating the role of trained immunity in the pathogenesis of ME/CFS: a mini review

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex chronic disease of which the underlying (molecular) mechanisms are mostly unknown. An estimated 0.89% of the global population is affected by ME/CFS. Most patients experience a multitude of symptoms that severely affect their lives. These symptoms include post-exertional malaise, chronic fatigue, sleep disorder, impaired cognitive functions, flu-like symptoms, and chronic immune activation. Therapy focusses on symptom management, as there are no drugs available. Approximately 60% of patients develop ME/CFS following an acute infection.

Such a preceding infection may induce a state of trained immunity; defined as acquired, nonspecific, immunological memory of innate immune cells. Trained immune cells undergo long term epigenetic reprogramming, which leads to changes in chromatin accessibility, metabolism, and results in a hyperresponsive phenotype. Initially, trained immunity has only been demonstrated in peripheral blood monocytes and macrophages. However, more recent findings indicate that hematopoietic stem cells in the bone marrow are required for long-term persistence of trained immunity. While trained immunity is beneficial to combat infections, a disproportionate response may cause disease.

We hypothesize that pronounced hyperresponsiveness of innate immune cells to stimuli could account for the aberrant activation of various immune pathways, thereby contributing to the pathophysiology of ME/CFS. In this mini review, we elaborate on the concept of trained immunity as a factor involved in the pathogenesis of ME/CFS by presenting evidence from other post-infectious diseases with symptoms that closely resemble those of ME/CFS.

Source: Humer B, Dik WA, Versnel MA. Advocating the role of trained immunity in the pathogenesis of ME/CFS: a mini review. Front Immunol. 2025 Mar 25;16:1483764. doi: 10.3389/fimmu.2025.1483764. PMID: 40201181; PMCID: PMC11975576. https://pmc.ncbi.nlm.nih.gov/articles/PMC11975576/ (Full text)

Prevalence of EBV, HHV6, HCMV, HAdV, SARS-CoV-2, and Autoantibodies to Type I Interferon in Sputum from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Patients

Abstract:

An exhausted antiviral immune response is observed in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and post-SARS-CoV-2 syndrome, also termed long COVID. In this study, potential mechanisms behind this exhaustion were investigated.

First, the viral load of Epstein-Barr virus (EBV), human adenovirus (HAdV), human cytomegalovirus (HCMV), human herpesvirus 6 (HHV6), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was determined in sputum samples (n = 29) derived from ME/CFS patients (n = 13), healthy controls (n = 10), elderly healthy controls (n = 4), and immunosuppressed controls (n = 2). Secondly, autoantibodies (autoAbs) to type I interferon (IFN-I) in sputum were analyzed to possibly explain impaired viral immunity.

We found that ME/CFS patients released EBV at a significantly higher level compared to controls (p = 0.0256). HHV6 was present in ~50% of all participants at the same level. HAdV was detected in two cases with immunosuppression and severe ME/CFS, respectively. HCMV and SARS-CoV-2 were found only in immunosuppressed controls. Notably, anti-IFN-I autoAbs in ME/CFS and controls did not differ, except in a severe ME/CFS case showing an increased level.

We conclude that ME/CFS patients, compared to controls, have a significantly higher load of EBV. IFN-I autoAbs cannot explain IFN-I dysfunction, with the possible exception of severe cases, also reported in severe SARS-CoV-2. We forward that additional mechanisms, such as the viral evasion of IFN-I effect via the degradation of IFN-receptors, may be present in ME/CFS, which demands further studies.

Source: Hannestad U, Allard A, Nilsson K, Rosén A. Prevalence of EBV, HHV6, HCMV, HAdV, SARS-CoV-2, and Autoantibodies to Type I Interferon in Sputum from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Patients. Viruses. 2025 Mar 14;17(3):422. doi: 10.3390/v17030422. PMID: 40143349; PMCID: PMC11946815. https://pmc.ncbi.nlm.nih.gov/articles/PMC11946815/ (Full text)

An In-Depth Exploration of the Autoantibody Immune Profile in ME/CFS Using Novel Antigen Profiling Techniques

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disorder characterized by serious physical and cognitive impairments. Recent research underscores the role of immune dysfunction, including the role of autoantibodies, in ME/CFS pathophysiology.

Expanding on previous studies, we analyzed 7542 antibody-antigen interactions in ME/CFS patients using two advanced platforms: a 1134 autoantibody Luminex panel from Oncimmune and Augmenta Bioworks, along with Rapid Extracellular Antigen Profiling (REAP), a validated high-throughput method that measures autoantibody reactivity against 6183 extracellular human proteins and 225 human viral pathogen proteins.

Unlike earlier reports, our analysis of 172 participants revealed no significant differences in autoantibody reactivities between ME/CFS patients and controls, including against GPCRs such as β-adrenergic receptors. However, subtle trends in autoantibody ratios between male and female ME/CFS subgroups, along with patterns of herpesvirus reactivation, suggest the need for broader and more detailed exploration.

Source: Germain A, Jaycox JR, Emig CJ, Ring AM, Hanson MR. An In-Depth Exploration of the Autoantibody Immune Profile in ME/CFS Using Novel Antigen Profiling Techniques. Int J Mol Sci. 2025 Mar 20;26(6):2799. doi: 10.3390/ijms26062799. PMID: 40141440; PMCID: PMC11943395. https://pmc.ncbi.nlm.nih.gov/articles/PMC11943395/ (Full text)

Deep sequencing of BCR heavy chain repertoires in myalgic encephalomyelitis/chronic fatigue syndrome

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a common and debilitating chronic illness of unknown aetiology. Chronic infection and autoimmune responses have been proposed as two mechanisms that potentially underlie the pathogenesis of ME/CFS. To explore these disease hypotheses, we characterised the antigen-specific receptors of B cells using adaptive immune receptor repertoire sequencing.

We compared the B-cell receptor (BCR) repertoires of 25 patients with mild/moderate ME/CFS, 36 patients with severe ME/CFS, 21 healthy controls, and 28 patients with multiple sclerosis (MS) to identify signatures of infection or autoimmune responses. ME/CFS patients did not display increased clonality or differential somatic hypermutation compared to healthy controls and patients with MS.

One of two immunoglobulin heavy variable (IGHV) genes, IGHV3-30, reported to be increased in ME/CFS patients in a previous study, was replicated in patients with mild/moderate disease in our cohort. However, there was no evidence of ongoing adaptive responses in IGHV3-30 repertoires from mild/moderate ME/CFS patients with increased IGHV3-30 usage.

There were no detectable repertoire signatures associated with infection or autoimmunity in repertoires from ME/CFS patients, but we observed skewing of the ratio of IgM to IgG BCRs in patients with mild/moderate ME/CFS, a preliminary finding that presents an opportunity for follow-up work.

Source: Ryback AA, Cowan GJM. Deep sequencing of BCR heavy chain repertoires in myalgic encephalomyelitis/chronic fatigue syndrome. Front Immunol. 2025 Feb 17;16:1489312. doi: 10.3389/fimmu.2025.1489312. PMID: 40034707; PMCID: PMC11872726. https://pmc.ncbi.nlm.nih.gov/articles/PMC11872726/ (Full text)