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Purpose: To define the clinical and histological characteristics of nephritis in patients with X-linked agammaglobulinemia (XLA) and their immunological profiles., Methods: The clinical, immunological, and histological findings of nine patients with XLA and nephritis were retrospectively analyzed., Results: Based on kidney histological findings, patients with XLA and nephritis could be divided into two groups, viz., chronic glomerulonephritis (CGN) and tubulointerstitial nephritis (TIN). The two groups showed different immunological profiles. Patients in the CGN group exhibited an atypical immunological profile of XLA, with pathogenic leaky B cells producing immunoglobulins that may play a role in forming immune complexes and causing immune-mediated glomerulonephritis. In contrast, patients in the TIN group exhibited a typical immunological profile of XLA, suggesting that antibody-independent/other BTK-dependent mechanisms, or immunoglobulin replacement therapy (IgRT)-related immune/nonimmune-mediated nephrotoxicity causes TIN., Conclusion: Nephritis occurring in patients with XLA could have links between their renal pathology and immunological status. Careful observation is recommended to detect kidney pathology in patients with XLA on IgRT., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Abstract: Wiskott-Aldrich syndrome (WAS) is a multifaceted monogenic disorder with a broad disease spectrum and variable disease severity and a variety of treatment options including allogeneic hematopoietic stem cell transplantation (HSCT) and gene therapy (GT). No reliable biomarker exists to predict disease course and outcome for individual patients. A total of 577 patients with a WAS variant from 26 countries and a median follow-up of 8.9 years (range, 0.3-71.1), totaling 6118 patient-years, were included in this international retrospective study. Overall survival (OS) of the cohort (censored at HSCT or GT) was 82% (95% confidence interval, 78-87) at age 15 years and 70% (61-80) at 30 years. The type of variant was predictive of outcome: patients with a missense variant in exons 1 or 2 or with the intronic hot spot variant c.559+5G>A (class I variants) had a 15-year OS of 93% (89-98) and a 30-year OS of 91% (86-97), compared with 71% (62-81) and 48% (34-68) in patients with any other variant (class II; P < .0001). The cumulative incidence rates of disease-related complications such as severe bleeding (P = .007), life-threatening infection (P < .0001), and autoimmunity (P = .004) occurred significantly later in patients with a class I variant. The cumulative incidence of malignancy (P = .6) was not different between classes I and II. It confirms the spectrum of disease severity and quantifies the risk for specific disease-related complications. The class of the variant is a biomarker to predict the outcome for patients with WAS.

Introduction: Dengue virus infection is a global health problem lacking specific therapy, requiring an improved understanding of DENV immunity and vaccine responses. Considering the recent emerging of new dengue vaccines, here we performed an integrative systems vaccinology characterization of molecular signatures triggered by the natural DENV infection (NDI) and attenuated dengue virus infection models (DVTs)., Methods and Results: We analyzed 955 samples of transcriptomic datasets of patients with NDI and attenuated dengue virus infection trials (DVT1, DVT2, and DVT3) using a systems vaccinology approach. Differential expression analysis identified 237 common differentially expressed genes (DEGs) between DVTs and NDI. Among them, 28 and 60 DEGs were up or downregulated by dengue vaccination during DVT2 and DVT3, respectively, with 20 DEGs intersecting across all three DVTs. Enriched biological processes of these genes included type I/II interferon signaling, cytokine regulation, apoptosis, and T-cell differentiation. Principal component analysis based on 20 common DEGs (overlapping between DVTs and our NDI validation dataset) distinguished dengue patients by disease severity, particularly in the late acute phase. Machine learning analysis ranked the ten most critical predictors of disease severity in NDI, crucial for the anti-viral immune response., Conclusion: This work provides insights into the NDI and vaccine-induced overlapping immune response and suggests molecular markers (e.g., IFIT5, ISG15, and HERC5 ) for anti-dengue-specific therapies and effective vaccination development., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. This study received funding from IBM. The funder had the following involvement in the study: production of figures, revision, and manuscript editing. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision., (Copyright © 2024 Plaça, Fonseca, Marques, Zaki Pour, Usuda, Baiocchi, Prado, Salgado, Filgueiras, Freire, Rocha, Camara, Catar, Moll, Jurisica, Calich, Giil, Rivino, Ochs, Cabral-Miranda, Schimke and Cabral-Marques.)

Coronavirus disease 2019 (COVID-19) has affected not only individual lives but also the world and global systems, both natural and human-made. Besides millions of deaths and environmental challenges, the rapid spread of the infection and its very high socioeconomic impact have affected healthcare, economic status and wealth, and mental health across the globe. To better appreciate the pandemic's influence, multidisciplinary and interdisciplinary approaches are needed. In this chapter, world-leading scientists from different backgrounds share collectively their views about the pandemic's footprint and discuss challenges that face the international community., (© 2024. The Author(s), under exclusive license to Springer Nature Switzerland AG.)

Background: Autoimmunity can be the first or predominant manifestation in patients with primary immunodeficiency disorder, also known as inborn errors of immunity (IEI). This study aims to evaluate the immune status of pediatric patients with polyautoimmunity to identify those with underlying immune defects., Methods: In this cross-sectional study, pediatric patients with polyautoimmunity including at least one confirmed autoimmune endocrine disease were enrolled. Demographic and clinical data were collected using a questionnaire based on medical records and direct family interviews. For each patient, a basic immunologic evaluation was performed. The clinical diagnosis was established according to the criteria of the European Society for Immunodeficiencies (ESID). Based on the presence or absence of a history of severe and/or recurrent infections, patients were divided into two groups for comparison., Results: Thirty-nine patients, 18 males (46.2%) and 21 females (53.8%), were included. Fourteen patients (35.9%) had consanguineous parents. Fifteen patients (38.5%) had a history of severe and/or recurrent infections. The median (interquartile range: IQR) age of our patients at the time of evaluation was 11.1 (9-16) years. The median (IQR) age at the onset of infections and autoimmunities were 3 (1-10.8) and 5 (2.6-8) years, respectively. The most common infectious complications reported were pneumonia and candidiasis, each in 12.8% of the patients. The most prevalent autoimmune disorders were type 1 diabetes (74.3%) and autoimmune thyroiditis (58.9%). IEI was diagnosed in six patients (15.38%), five of which were from the group with severe or recurrent infections: three with selective IgA deficiency, two with common variable immunodeficiency (CVID), and one with immune dysregulation, polyendocrinopathy, enteropathy, Xlinked (IPEX), but without a history of infections., Conclusion: The occurrence of early onset polyautoimmunity in association with severe and/or recurrent infections or in patients with a positive family history should be a warning sign for physicians to initiate an evaluation for possible immunodeficiency disorders to prevent complications through early treatment., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)