Inflammatory Myopathies

Inflammatory myopathies are rare autoimmune diseases leading to progressive muscle weakness, often including the respiratory muscles. This study aims to investigate whether inspiratory muscle training (IMT) using a threshold device can improve functional status in patients with inflammatory myopathy. Thirty-three patients will undergo a 3-month home-based IMT program with progressive resistance. Functional capacity, inspiratory muscle strength, lung function, diaphragmatic mobility, fatigue, and quality of life will be assessed at baseline and during follow-up. The primary hypothesis is that IMT will enhance inspiratory muscle strength and translate into better functional performance and quality of life.

This study aims to identify a way to predict the side effects that some people with cancer experience when receiving immunotherapy. These side effects, known as immune-related adverse events (irAEs), occur when the immune system mistakenly attacks healthy tissues, like certain autoimmune diseases. At present, clinicians lack reliable tests to determine who is most likely to develop these reactions. The goal of this study is to determine whether substances in the blood called interferons (IFNs) could serve as early warning markers. The study will include 300 people with cancer who are about to begin immunotherapy. To provide a meaningful comparison, the investigators will also enroll 40 individuals with autoimmune diseases such as lupus. Understanding how IFN levels differ between these groups may help clarify whether IFN patterns in cancer patients resemble those seen in autoimmune disease. Participants in both groups will be asked to provide small blood samples at predefined time points during their clinical care or treatment. Researchers will measure the levels of different IFN types in all samples to compare IFN levels between cancer patients and individuals with autoimmune diseases, and within the cancer group between patients who develop irAEs and those who do not. The long-term aim of the study is to develop a simple test that can help clinicians identify patients at higher risk of irAEs. Immune-related adverse events (irAEs) are a frequent complication in cancer patients treated with immune checkpoint inhibitors (ICIs), and they often resemble or exacerbate preexisting autoimmune diseases. Despite extensive research in the field, no validated predictive biomarkers of irAEs currently exist. Emerging evidence suggests that the IFN signature -long implicated in the pathogenesis of several systemic autoimmune diseases (SADs)- may also be upregulated in patients who develop ICI-induced irAEs, likely with substantial overlap among different IFN subtypes. Given these clinical and molecular similarities with SADs, it is plausible that IFN levels in peripheral blood carry predictive value for irAE risk, although the dominant IFN types in ICI-related toxicity remain unknown. The INTER-AUTENTIC project aims to determine whether baseline IFN levels and their dynamic changes, measured in peripheral blood using a dedicated panel, can predict the onset of irAEs in cancer patients receiving ICIs. Supported by the Medical Oncology departments of six university hospitals in Northern Spain, this multicenter, observational, prospective cohort study has been underway since 2021. Biobank samples have been collected from ICI-treated patients before treatment initiation, at protocol-defined time points, and at the moment of irAE diagnosis (ICI cohort). The study seeks to identify the IFN subtypes with the most pronounced differential expression between patients with and without irAEs, and to evaluate whether IFN levels enhance the predictive performance of a model incorporating other clinical variables potentially associated with immune-mediated toxicity. A sample size of 300 cancer patients has been estimated for this analysis. In addition, a second prospective cohort of 40 non-cancer patients with systemic lupus erythematosus, primary Sjögren's syndrome, systemic sclerosis, and/or idiopathic inflammatory myopathy (SAD cohort) will be included. Since IFNs play a well-established pathogenic role in these conditions, this cohort will allow characterization of the IFN signature at key follow-up points (baseline, remission, and disease flare) and comparison with the IFN profiles of ICI-treated patients, regardless of whether they develop irAEs.

Based on mass spectrometry flow method, this study analyzed the typing of new T, B, NK and DC cell subsets in peripheral blood of common autoimmune diseases and their correlation with disease activity, aiming at establishing an early screening and diagnosis model of autoimmune diseases.

Autoimmune diseases refer to a common category of diseases caused by the immune system reacting to self-antigens, leading to tissue damage. Autoimmune diseases encompass a wide variety of conditions, such as systemic lupus erythematosus（SLE）, Sjögren's syndrome (SS), systemic sclerosis (SSc), inflammatory myopathies (IM), ANCA-associated vasculitis (AAV), and antiphospholipid syndrome (APS). They affect the quality of life, while in severe cases, they can be life-threatening. Additionally, they impose a heavy economic burden on society. Current treatments for autoimmune diseases include glucocorticoid, immunosuppressants, and biologics. B cell-driven humoral immune abnormalities are a central pathogenic mechanism in many autoimmune diseases. When autoreactive B cells are excessively activated, they produce large amounts of autoantibodies and immune complexes. These antibodies and immune complexes can cause damage to various tissues and organs, leading to the development of multiple autoimmune diseases. Therefore, targeting B cells to treat autoimmune diseases is an attractive therapeutic strategy. Chimeric Antigen Receptor (CAR)-T cells targeting the B cell surface molecule CD19 have achieved significant clinical progress in acute lymphoblastic leukemia and B cell non-Hodgkin lymphoma, with several CD19 CAR-T therapies approved for marketing worldwide. Increasingly, clinical studies are exploring the use of CD19 CAR-T cells for the treatment of autoimmune diseases, and their therapeutic efficacy has been demonstrated. In this study, the investigators used γδ T cells as carrier cells to investigate the safety and efficacy of universal CAR-γδ T cells in the treatment of autoimmune diseases.

Autoimmune diseases refer to a common category of diseases caused by the immune system reacting to self-antigens, leading to tissue damage. Autoimmune diseases encompass a wide variety of conditions, such as systemic lupus erythematosus, Sjögren's syndrome, systemic sclerosis, inflammatory myopathies, ANCA-associated vasculitis. Current treatments for autoimmune diseases include glucocorticoid, immunosuppressants, and biologics. B cell-driven humoral immune abnormalities are a central pathogenic mechanism in many autoimmune diseases. When autoreactive B cells are excessively activated, they produce large amounts of autoantibodies and immune complexes. These antibodies and immune complexes can cause damage to various tissues and organs, leading to the development of multiple autoimmune diseases. Therefore, targeting B cells to treat autoimmune diseases is an attractive therapeutic strategy. Clinical studies are exploring the use of CD19-targeting CAR-T cells for the treatment of autoimmune diseases, and their therapeutic efficacy has been demonstrated. In this study, we investigate the safety and efficacy of universal CD19-targeting CAR T cells in the treatment of autoimmune diseases.

Systemic sclerosis and inflammatory myopathies, which sometimes combine (scleromyositis), have shared pathophysiological elements. In both diseases, many cell subtypes are involved in damage to organs such as T lymphocytes, B lymphocytes, and unconventional (non-B, non-T) lymphocytes called innate lymphoid cell (ILC). The increasing complexity of our understanding of the immune system (multiplication of recognized cell subtypes) also makes the strategies for analyzing pathophysiological mechanisms more complex. Currently, no biomarker perfectly predicts the phenotype and evolution of patients. Multi-OMIC analyzes will be performed (identification of cell populations as well as genomic, transcriptomic and proteomic characterization) in blood and tissue samples (skin and muscle biopsy) in patients with systemic sclerosis and inflammatory myopathies, with the objective of identifying discriminating molecular signatures (biomarkers) according to the characteristics of the disease and its evolution.