[CAR-T therapy for autoimmune diseases]. / Thérapie cellulaire CAR-T dans le traitement des maladies auto-immunes.

Cellular therapy using genetically modified T lymphocytes expressing synthetic receptors, known as CAR (Chimeric Antigen Receptor), has revolutionized the treatment of certain hematologic malignancies. This success has led to exploring the same approach in the treatment of severe autoimmune diseases refractory to conventional therapies. Initial results in systemic lupus erythematosus have shown complete remissions that appear to persist over time. Consequently, there is a growing number of ongoing clinical trials. In this review, we discuss the rationale behind the use of CAR-T therapies, the targeted autoimmune diseases, and the associated risks.

La thérapie cellulaire à base de lymphocytes T génétiquement modifiés exprimant des récepteurs synthétiques ou CAR (récepteur antigénique chimérique) a révolutionné le traitement de certaines maladies hémato-oncologiques. Ce succès a conduit à l'exploration de la même approche dans le traitement de maladies auto-immunes sévères et réfractaires aux thérapies conventionnelles. Les premiers résultats obtenus dans le lupus érythémateux systémique ont montré des rémissions complètes semblant persister dans le temps. Nous assistons donc actuellement à une prolifération importante d'essais cliniques. Dans cet article, nous abordons le rationnel derrière l'utilisation des thérapies CAR-T, les maladies auto-immunes ciblées, mais aussi les risques associés.

Incidence and disease burden of autoimmune inflammatory rheumatic diseases after non-pharmaceutical interventions in the COVID-19 era: A nationwide observational study in Korea.

BACKGROUND: Infections are considered risk factors for autoimmune inflammatory rheumatic diseases (AIRDs), the incidence of which is considered to have been impacted by the COVID-19 pandemic. The impact of non-pharmaceutical interventions (NPIs) on the incidence of AIRDs and their associated health care services and medical expenses in Korea was investigated. METHODS: We included all AIRD cases reported between January 2016 and February 2021 based on the National Health Insurance Service data. We evaluated changes in incidence trends for each AIRD before and after NPI implementation (Feb 2020 to Feb 2021) using segmented regression analysis. Changes in health care utilization and medical costs for each AIRD before and after NPI implementation were also investigated. RESULTS: After NPI implementation, monthly incidence rates declined significantly by 0.205 per 1 000 000 (95% confidence interval [CI], -0.308 to -0.101, p < .001) in patients with systemic lupus erythematosus (SLE). No significant changes in the incidence of all AIRDs other than SLE were observed before and after implementation. Further, annual outpatient department visits per patient were lower during implementation for all diseases, except juvenile idiopathic arthritis (JIA). The prescription days per outpatient visit increased significantly during implementation for all diseases, except JIA and ankylosing spondylitis. During implementation, the total annual medical costs per patient tended to decrease for all diseases, except JIA and mixed connective tissue disease. CONCLUSION: Implementation of NPIs to contain the pandemic led to a reduction in the incidence of SLE and changed patterns of medical care utilization and treatment cost for most AIRDs.

CD19-directed T cell-engaging antibodies for the treatment of autoimmune disease.

Jennifer S. Michaelson, Chief Scientific Officer at Cullinan Oncology, and Patrick A. Baeuerle, scientific advisor to Cullinan Oncology and honorary professor in immunology at Ludwig Maximilians University Munich, discuss the use of CD19-specific T cell-engaging antibody therapies (TCEs) as therapeutics for autoimmune diseases.

Immune-Mediated Necrotizing Myopathies: Current Landscape.

PURPOSE OF REVIEW: Immune-mediated necrotizing myopathy (IMNM), characterized by acute or subacute onset, severe weakness, and elevated creatine kinase levels, poses diagnostic and therapeutic challenges. This article provides a succinct overview of IMNM, including clinical features, diagnostic strategies, and treatment approaches. RECENT FINDINGS: Recent insights highlight the different clinical presentations and therapeutic options of IMNM stratified by autoantibody positivity and type. Additionally, recent findings call into question the reported link between statin use and IMNM. This review synthesizes current knowledge on IMNM, emphasizing its distinct clinical features and challenging management. The evolving understanding of IMNM underscores the need for a comprehensive diagnostic approach that utilizes a growing range of modalities. Early and aggressive immunomodulatory therapy remains pivotal. Ongoing research aims to refine diagnostic tools and therapeutic interventions for this challenging muscle disorder, underscoring the importance of advancing our understanding to enhance patient outcomes.

[Restorative capability of traditional Chinese medicine in autoimmune diseases of nervous system: a literature review]. / Vosstanovitel'nyi potentsial traditsionnoi kitaiskoi meditsiny pri autoimmunnykh zabolevaniyakh nervnoi sistemy: obzor literatury.

Autoimmune diseases of the nervous system are characterized by the formation of pronounced neurological deficiency and often lead to disability. Complementary medicine as an adjuvant or preventive therapy of various diseases, including autoimmune ones, is increasingly attracting the attention of doctors and researchers. Traditional Chinese medicine (TCM) has a complex of treatment methods, including acupuncture, phytotherapy, nutrition, physical exercises and other methods that are often used in common with the recognized approaches of the official medical science. The article describes the TCM methods application in autoimmune diseases of nervous system, presents the practical experience of using acupuncture, phytotherapy, diet, physical exercises. It was concluded that TCM is important and frequently underestimated health care resource, especially in prevention and treatment of autoimmune diseases of nervous system.

[Autoimmune bullous diseases in children]. / Dermatoses bulleuses auto-immunes chez les enfants.

Auto-immune bullous diseases (AIBD) are rare in children. Although their pathogenesis is similar to their adult counterpart, there are differences in the clinical presentation. Moreover certain AIBD prevail at certain ages. There are no guidelines for the treatment of AIBD specific for children. In this review the recent literature is summarised with attention to recent data including diagnostic criteria. We also propose a treatment algorithm.

Les maladies bulleuses auto-immunes (MBAI) sont rares chez les enfants. Bien que la pathogenèse soit similaire à celle de l'adulte, il existe des différences concernant la présentation clinique et la prévalence des MBAI selon l'âge. À ce jour, il n'y a pas de recommandations spécifiques pour leur prise en charge chez l'enfant. Dans cet article, nous présentons une revue des données actuelles, des critères diagnostiques et proposons un algorithme de prise en charge.

Immunotherapy utilization patterns in patients with advanced cancer and autoimmune disease.

PURPOSE: Immunotherapy has been shown to improve cancer survival, but there are no consensus guidelines to inform use in patients with both cancer and autoimmune disease (AD). We sought to examine immunotherapy utilization patterns between cancer patients with and without AD. PATIENTS AND METHODS: This retrospective cohort study utilized data from a de-identified nationwide oncology database. Patients diagnosed with advanced melanoma, non-small cell lung cancer, and renal cell carcinoma were included. Outcomes of interest included first-line immunotherapy, overall immunotherapy, and number of immunotherapy cycles. We used logistic and Poisson regression models to examine associations between AD and immunotherapy utilization patterns. RESULTS: A total of 25,076 patients were included (796 with AD). Patients with AD were more likely to be female, White, receive care at academic centers, and have ECOG ≥ 3. Controlling for demographic and clinical variables, AD was associated with lower odds of receiving first-line (odds ratio [OR] = 0.68, 95% confidence interval [CI] 0.56-0.82) and overall (OR = 0.80, 95% CI 0.67-0.94) immunotherapy. Among patients who received at least one cycle of immunotherapy, there was no difference in mean number of cycles received between patients with and without AD (11.3 and 10.5 cycles respectively). The incident rate of immunotherapy cycles received for patients with AD was 1.03 times that of patients without AD (95% CI 1.01-1.06). DISCUSSION: Patients with AD were less likely to receive immunotherapy as first-line and overall therapy for treatment of their advanced cancer. However, among those who did receive at least one cycle of immunotherapy, patients with AD received a similar number of cycles compared to patients without AD. This not only indicates that AD is not an absolute contraindication for immunotherapy in clinical practice but may also demonstrate overall treatment tolerability and net benefit in patients with AD.

Innovate therapeutic targets for autoimmune diseases: insights from proteome-wide mendelian randomization and Bayesian colocalization.

BACKGROUND: Despite growing knowledge regarding the pathogenesis of autoimmune diseases (ADs) onset, the current treatment remains unsatisfactory. This study aimed to identify innovative therapeutic targets for ADs through various analytical approaches. RESEARCH DESIGN AND METHODS: Utilizing Mendelian randomization, Bayesian co-localization, phenotype scanning, and protein-protein interaction network, we explored potential therapeutic targets for 14 ADs and externally validated our preliminary findings. RESULTS: This study identified 12 circulating proteins as potential therapeutic targets for six ADs. Specifically, IL12B was judged to be a risk factor for ankylosing spondylitis (p = 1.61E - 07). TYMP (p = 6.28E - 06) was identified as a protective factor for ulcerative colitis. For Crohn's disease, ERAP2 (p = 4.47E - 14), HP (p = 2.08E - 05), and RSPO3 (p = 6.52E - 07), were identified as facilitators, whereas FLRT3 (p = 3.42E - 07) had a protective effect. In rheumatoid arthritis, SWAP70 (p = 3.26E - 10), SIGLEC6 (p = 2.47E - 05), ISG15 (p = 3.69E - 05), and FCRL3 (p = 1.10E - 10) were identified as risk factors. B4GALT1 (p = 6.59E - 05) was associated with a lower risk of Type 1 diabetes (T1D). Interestingly, CTSH was identified as a protective factor for narcolepsy (p = 1.58E - 09) but a risk factor for T1D (p = 7.36E - 11), respectively. External validation supported the associations of eight of these proteins with three ADs. CONCLUSIONS: Our integrated study identified 12 potential therapeutic targets for ADs and provided novel insights into future drug development for ADs.

Development of an explainable AI system using routine clinical parameters for rapid differentiation of inflammatory conditions.

Introduction: Inflammatory conditions in patients have various causes and require different treatments. Bacterial infections are treated with antibiotics, while these medications are ineffective against viral infections. Autoimmune diseases and graft-versus-host disease (GVHD) after allogeneic stem cell transplantation, require immunosuppressive therapies such as glucocorticoids, which may be contraindicated in other inflammatory states. In this study, we employ a combination of straightforward blood tests to devise an explainable artificial intelligence (XAI) for distinguishing between bacterial infections, viral infections, and autoimmune diseases/graft-versus-host disease. Patients and methods: We analysed peripheral blood from 80 patients with inflammatory conditions and 38 controls. Complete blood count, CRP analysis, and a rapid flow cytometric test for myeloid activation markers CD169, CD64, and HLA-DR were utilized. A two-step XAI distinguished firstly with C5.0 rules pruned by ABC analysis between controls and inflammatory conditions and secondly between the types of inflammatory conditions with a new bivariate decision tree using the Simpson impurity function. Results: Inflammatory conditions were distinguished using an XAI, achieving an overall accuracy of 81.0% (95%CI 72 - 87%). Bacterial infection (N = 30), viral infection (N = 26), and autoimmune diseases/GVHD (N = 24) were differentiated with accuracies of 90.3%, 80.0%, and 79.0%, respectively. The most critical parameter for distinguishing between controls and inflammatory conditions was the expression of CD64 on neutrophils. Monocyte count and expression of CD169 were most crucial for the classification within the inflammatory conditions. Conclusion: Treatment decisions for inflammatory conditions can be effectively guided by XAI rules, straightforward to implement and based on promptly acquired blood parameters.

Idiopathic inflammatory myopathies: one year in review 2023.

Idiopathic inflammatory myopathies are a group of rare, autoimmune, diseases typically involving striate muscle and also variously affecting several other systems or organs, such as joints, skin, lungs, heart and gastrointestinal tract. IIM are mainly characterised by subacute onset and chronic course and are burdened by significant morbidity and mortality. Despite the rarity of these conditions, several efforts have been undertaken in the last years to better understand their pathogenesis, as well as to achieve a more precise classification and to define the optimal therapeutic approach. The aim of this review is to provide an up-to-date digest of the most relevant studies published on this topic over the last year.

A single-agent fusion of human IL-2 and anti-IL-2 antibody that selectively expands regulatory T cells.

The occurrence of many autoimmune diseases takes root on the disrupted balance among Treg cells, Teff cells, etc. Low-dose interleukin-2 (IL-2) cytokine demonstrates promising clinical efficacy in the expansion of Treg cells and the treatment of autoimmune diseases. However, its clinical application is hindered by the small therapeutic index and short half-life. Previous studies have shown that non-covalent complex of human IL-2 and anti-IL-2 antibody biases cytokine activity towards Treg cells and extends IL-2's half-life. The clinical translation of such complex is non-trivial. In this study, we discover an anti-human IL-2 antibody and engineer a covalently-linked single-agent fusion of human IL-2 and its antibody that selectively expands Treg cells and exhibits superior disease control activity in animal models of ulcerative colitis and systemic lupus erythematosus, with proper safety profile and good developability. These studies pave the road for its clinical development in diverse autoimmune diseases.

Mathematical modeling in autoimmune diseases: from theory to clinical application.

The research & development (R&D) of novel therapeutic agents for the treatment of autoimmune diseases is challenged by highly complex pathogenesis and multiple etiologies of these conditions. The number of targeted therapies available on the market is limited, whereas the prevalence of autoimmune conditions in the global population continues to rise. Mathematical modeling of biological systems is an essential tool which may be applied in support of decision-making across R&D drug programs to improve the probability of success in the development of novel medicines. Over the past decades, multiple models of autoimmune diseases have been developed. Models differ in the spectra of quantitative data used in their development and mathematical methods, as well as in the level of "mechanistic granularity" chosen to describe the underlying biology. Yet, all models strive towards the same goal: to quantitatively describe various aspects of the immune response. The aim of this review was to conduct a systematic review and analysis of mathematical models of autoimmune diseases focused on the mechanistic description of the immune system, to consolidate existing quantitative knowledge on autoimmune processes, and to outline potential directions of interest for future model-based analyses. Following a systematic literature review, 38 models describing the onset, progression, and/or the effect of treatment in 13 systemic and organ-specific autoimmune conditions were identified, most models developed for inflammatory bowel disease, multiple sclerosis, and lupus (5 models each). ≥70% of the models were developed as nonlinear systems of ordinary differential equations, others - as partial differential equations, integro-differential equations, Boolean networks, or probabilistic models. Despite covering a relatively wide range of diseases, most models described the same components of the immune system, such as T-cell response, cytokine influence, or the involvement of macrophages in autoimmune processes. All models were thoroughly analyzed with an emphasis on assumptions, limitations, and their potential applications in the development of novel medicines.

Resource utilization and costs of transitioning from pediatric to adult care for patients with chronic autoinflammatory and autoimmune disorders.

BACKGROUND: A structured transition of adolescents and young adults with chronic autoinflammatory and autoimmune disorders from the pediatric to the adult health care system is important. To date, data on the time, processes, outcome, resources required for the necessary components of the transition process and the associated costs are lacking. METHODS: Evaluation of resource use and costs in a prospective cohort study of 58 adolescents with chronic autoinflammatory and autoimmune disorders, for the key elements of a structured transition pathway including (i) compilation of a summary of patient history, (ii) assessment of patients' disease-related knowledge and needs, (iii) required education and counseling sessions, (iv) and a transfer appointment of the patient with the current pediatric and the future adult rheumatologist. RESULTS: Forty-nine of 58 enrolled patients (84.5%) completed the transition pathway and were transferred to adult care. The mean time from the decision to start the transition process to the final transfer consultation was 315 ± 147 days. Transfer consultations were performed in 49 patients, including 10 patients jointly with the future adult rheumatologist. Most consultations were performed by the multidisciplinary team with a median of three team members and lasted 65.5 ± 21.3 min. The cumulative cost of all consultation and education sessions performed including the transfer appointment was 283 ± 164 Euro per patient. In addition, the cost of coordinating the transition process was 57.3 ± 15.4 Euro. CONCLUSIONS: A structured transition pathway for patients with chronic autoinflammatory and autoimmune disorders is resource and time consuming and should be adequately funded.

Artificial Intelligence, Big Data, and Regulation of Immunity: Challenges and Opportunities.

The immune system is regulated by a complex set of genetic, molecular, and cellular interactions. Rapid advances in the study of immunity and its network of interactions have been boosted by a spectrum of "omics" technologies that have generated huge amounts of data that have reached the status of big data (BD). With recent developments in artificial intelligence (AI), theoretical and clinical breakthroughs could emerge. Analyses of large data sets with AI tools will allow the formulation of new testable hypotheses open new research avenues and provide innovative strategies for regulating immunity and treating immunological diseases. This includes diagnosis and identification of rare diseases, prevention and treatment of autoimmune diseases, allergic disorders, infectious diseases, metabolomic disorders, cancer, and organ transplantation. However, ethical and regulatory challenges remain as to how these studies will be used to advance our understanding of basic immunology and how immunity might be regulated in health and disease. This will be particularly important for entities in which the complexity of interactions occurring at the same time and multiple cellular pathways have eluded conventional approaches to understanding and treatment. The analyses of BD by AI are likely to be complicated as both positive and negative outcomes of regulating immunity may have important ethical ramifications that need to be considered. We suggest there is an immediate need to develop guidelines as to how the analyses of immunological BD by AI tools should guide immune-based interventions to treat various diseases, prevent infections, and maintain health within an ethical framework.

The therapeutic potential of immunoengineering for systemic autoimmunity.

Disease-modifying drugs have transformed the treatment options for many systemic autoimmune diseases. However, an evolving understanding of disease mechanisms, which might vary between individuals, is paving the way for the development of novel agents that operate in a patient-tailored manner through immunophenotypic regulation of disease-relevant cells and the microenvironment of affected tissue domains. Immunoengineering is a field that is focused on the application of engineering principles to the modulation of the immune system, and it could enable future personalized and immunoregulatory therapies for rheumatic diseases. An important aspect of immunoengineering is the harnessing of material chemistries to design technologies that span immunologically relevant length scales, to enhance or suppress immune responses by re-balancing effector and regulatory mechanisms in innate or adaptive immunity and rescue abnormalities underlying pathogenic inflammation. These materials are endowed with physicochemical properties that enable features such as localization in immune cells and organs, sustained delivery of immunoregulatory agents, and mimicry of key functions of lymphoid tissue. Immunoengineering applications already exist for disease management, and there is potential for this new discipline to improve disease modification in rheumatology.

Applications of CRISPR Epigenome Editors in Tumor Immunology and Autoimmunity.

Over the past decade, CRISPR-Cas systems have become indispensable tools for genetic engineering and have been used in clinical trials for various diseases. Beyond genome editing, CRISPR-Cas systems can also be used for performing programmable epigenetic modifications. Recent efforts in enhancing CRISPR-based epigenome modifiers have yielded potent tools enabling targeted DNA methylation/demethylation capable of sustaining epigenetic memory through numerous cell divisions. Moreover, it has been understood that during chronic inflammatory states, including cancer, T cells encounter a state called T cell exhaustion that involves elevated inhibitory receptors (e.g., LAG-3, TIM3, PD-1, CD39) and reduced effector T cell-related protein levels (IFN-γ, granzyme B, and perforin). Importantly, epigenetic dysregulation has been identified as one of the key drivers of T cell exhaustion, and it remains one of the biggest obstacles in the field of immunotherapy and decreases the efficiency of chimeric antigen receptor T (CAR-T) cell therapy. Similarly, autoimmune diseases exhibit epigenetically dysfunctional regulatory T (Treg) cells. For instance, FOXP3 intronic regions, known as conserved noncoding sequences, display hypomethylation in healthy states but hypermethylation in pathological contexts. Therefore, the reversal of epigenetic dysregulation in cancer and autoimmune diseases using CRISPR-based epigenome modifiers has important therapeutic implications. In this review, we outline the progressive refinement of CRISPR-based epigenome modifiers and explore their potential therapeutic applications in tumor immunology and autoimmunity.

Role of microRNAs in Immune Regulation with Translational and Clinical Applications.

MicroRNAs (miRNAs) are 19-23 nucleotide long, evolutionarily conserved noncoding RNA molecules that regulate gene expression at the post-transcriptional level. In this review, involvement of miRNAs is summarized in the differentiation and function of immune cells, in anti-infective immune responses, immunodeficiencies and autoimmune diseases. Roles of miRNAs in anticancer immunity and in the transplantation of solid organs and hematopoietic stem cells are also discussed. Major focus is put on the translational clinical applications of miRNAs, including the establishment of noninvasive biomarkers for differential diagnosis and prediction of prognosis. Patient selection and response prediction to biological therapy is one of the most promising fields of application. Replacement or inhibition of miRNAs has enormous therapeutic potential, with constantly expanding possibilities. Although important challenges still await solutions, evaluation of miRNA fingerprints may contribute to an increasingly personalized management of immune dysregulation with a remarkable reduction in toxicity and treatment side effects. More detailed knowledge of the molecular effects of physical exercise and nutrition on the immune system may facilitate self-tailored lifestyle recommendations and advances in prevention.

LILRB4 Checkpoint for Immunotherapy: Structure, Mechanism and Disease Targets.

LILRB4, a myeloid inhibitory receptor belonging to the family of leukocyte immunoglobulin-like receptors (LILRs/LIRs), plays a pivotal role in the regulation of immune tolerance. LILRB4 primarily mediates suppressive immune responses by transmitting inhibitory signals through immunoreceptor tyrosine-based inhibitory motifs (ITIMs). This immune checkpoint molecule has gained considerable attention due to its potent regulatory functions. Its ability to induce effector T cell dysfunction and promote T suppressor cell differentiation has been demonstrated, indicating the therapeutic potential of LILRB4 for modulating excessive immune responses, particularly in autoimmune diseases or the induction of transplant tolerance. Additionally, through intervening with LILRB4 molecules, immune system responsiveness can be adjusted, representing significant value in areas such as cancer treatment. Thus, LILRB4 has emerged as a key player in addressing autoimmune diseases, transplant tolerance induction, and other medical issues. In this review, we provide a comprehensive overview of LILRB4, encompassing its structure, expression, and ligand molecules as well as its role as a tolerance receptor. By exploring the involvement of LILRB4 in various diseases, its significance in disease progression is emphasized. Furthermore, we propose that the manipulation of LILRB4 represents a promising immunotherapeutic strategy and highlight its potential in disease prevention, treatment and diagnosis.