Clinical Immunology

BackgroundPremature ovarian insufficiency (POI) is a condition affecting female fertility e.g., in the context of autoimmune disease. A recent proof-of-concept study showed that B-cell depletion with rituximab (RTX) temporarily restored ovarian function in patients with autoimmune POI. However, the underlying immunological mechanisms behind this response is unknown. ObjectivesTo characterize B- and T-cell phenotypes before and after RTX therapy in the above-mentioned patients and associations with autoantibody levels and treatment response. MethodsCryopreserved cell samples were available from six autoimmune patients with POI, four of whom were positive for autoantibodies against steroidogenic enzymes (21OH, 17OH and/or SCC). Patients received RTX and blood samples were collected at baseline, second infusion (2 weeks), 3, 8 and 12 months. Peripheral B- and T-cell phenotypes were analysed using spectral flow cytometry and correlated with autoantibody levels. ResultsAt baseline, patients displayed signs of B-cell activation by alteration in subset composition compared to matched controls. Upon closer analysis, patients positive for steroidogenic enzyme autoantibodies had significantly increased frequency of CXCR3+switched memory (SWM) B-cells than autoantibody-negative patients, which correlated positively with anti-17OH and-SCC autoantibody levels. In parallel, increased Th1 cell frequencies were also observed in the same patient group. Longitudinal analyses showed expected B-cell depletion followed by repopulation after RTX. Changes in T-cell subsets were observed at 8 months with reduced frequencies of Th1 and Tfh cells. ConclusionAutoimmune POI displayed altered B- and T-cell subsets implicating cell crosstalk, immune cell infiltration to sites of inflammation such as ovaries, and presence of Th1-driven immunopathogenesis. Key messagesO_LIIncreased CXCR3+SWM B cells and Th1 cells were found in patients with autoimmune POI who were positive for autoantibodies against steroidogenic enzymes. C_LIO_LICXCR3 expression on SWM B cells positively associated with anti-17OH and anti-SCC autoantibody levels. C_LIO_LIRTX induced rapid B-cell depletion followed by repopulation and a delayed T-cell effect at 8 months with reduced Th1 and Tfh cell frequencies. C_LI Capsule summaryRTX has recently been shown to restore fertility in autoimmune POI. Lymphocyte profiling identified Th1 bias accompanied by CXCR3+memory B cells that correlate with autoantibody levels. B-cell depletion appears to temporarily alleviate ovarian autoimmunity and ameliorate physiological function.

Importance: Phosphorylated tau at threonine 217 (p-tau217) and brain-derived tau (BD-tau) are increasingly used as blood biomarkers of Alzheimer's disease (AD) and related neurological disorders. However, the distributions and biological correlates of elevated plasma p-tau217 and BD-tau in plasma from individuals eligible for blood donation remain unclear. Objective: To estimate the proportions of plasma p-tau217 and BD-tau exceeding exploratory study-specific thresholds, and examine associated inflammatory and transcriptomic features. Design: Cross-sectional study. Setting: Hospital blood bank. Participants: 257 de-identified donor samples were obtained between September 2025 and June 2026. Plasma samples from 30 population reference participants and 20 AD patients were used to derive study-specific thresholds. Complementary transcriptomic analyses were performed in 29 fresh whole blood samples. Main Outcomes and Measures: The primary outcome was the proportion of donor samples exceeding the study-specific ROC-derived Youden threshold. The proportion exceeding the prespecified published p-tau217 threshold was the secondary outcome. Other measures included plasma concentrations of BD-tau, tumor necrosis factor alpha (TNF-alpha), and interleukin 6 (IL-6); correlations among plasma p-tau217, BD-tau and inflammatory cytokines; and associated transcriptomic alterations. Results: Plasma p-tau217 concentrations exceeded the study-specific ROC-derived Youden threshold in 53 of 256 donor samples (21%; 95% CI, 16%-26%) and the published threshold, used for a secondary comparison, in 99 of 256 samples (39%; 95% CI, 33%-45%). Plasma BD-tau concentrations exceeded the study-specific threshold in 89 of 257 samples (35%; 95% CI, 29%-41%). Plasma p-tau217 concentrations were positively associated with plasma TNF-alpha (Kendall's tau = 0.339; P < .001) and IL-6 (Kendall's tau = 0.310; P < .001) concentrations. Exploratory transcriptomic analyses identified gene expression patterns associated with p-tau217 concentrations. Measurement using a second p-tau217 antibody showed the similar findings. Conclusions and Relevance: Plasma p-tau217 and BD-tau concentrations exceeded exploratory study-specific thresholds in a subset of blood-donor samples, and higher p-tau217 concentrations were associated with inflammatory biomarkers and exploratory transcriptomic differences. These findings raise the possibility of elevated circulating tau species in some blood donors, but their clinical significance requires confirmation. Whether elevated circulating p-tau217 in donated blood has biological consequences for transfusion recipients is unknown, but deserves investigation.

Despite its relative anti-inflammatory nature, IgG4 is involved in a variety of pathological conditions such as autoimmune disease and cancer. To investigate whether the IgG4 repertoire presents any abnormalities in diseases where IgG4 autoantibodies predominate, we charted longitudinal IgG4 repertoires in health, in an IgG4-mediated autoimmune disease (AID; muscle-specific kinase myasthenia gravis (MuSK MG)), and in IgG1/IgG3 mediated AIDs (acetylcholine receptor (AChR) MG and Lambert-Eaton myasthenic syndrome (LEMS). In total, we assessed 218 samples of 69 donors using mass spectrometry-based antibody repertoire analysis, covering a timespan of up to eight years. Despite being superficially inconspicuous in clonal diversity and abundances, we detected a slightly elevated number of IgG4 clones in MuSK MG patients compared to healthy donors. Notably, this observation did not coincide with drastic repertoire changes during treatment, suggesting that a large portion of the IgG4 repertoire is not significantly affected by common MuSK MG treatment regimens. Comparing the IgG4 antibody repertoires of all donors, we found that they were exceptionally unique for each individual. Against what would be expected in the case of a constantly adapting antibody repertoire, a large portion of the IgG4 clones remained stable without any further maturation. This observation even extended to patients receiving B cell depleting or IgG modulating treatments. Our findings suggest that a dominating fraction of the IgG4 pool may be produced by long-lived plasma cells, which are unaffected by disease or medical interventions.

Background: Giant cell arteritis (GCA), traditionally considered T cell-driven, exhibits vascular B/plasma-cell infiltrates and altered circulating B-cell homeostasis, suggesting a pathogenic role for B cells. Relapse is common in newly diagnosed GCA (nGCA), yet predictive biomarkers remain elusive. Objective: To characterize circulating B-cell subpopulations in nGCA and assess their association with 12-month relapse. Methods: Baseline multiparametric flow cytometry was performed on peripheral blood samples from consecutive patients with nGCA and sex/age-matched healthy controls (HC). Patients received standard treatment per 2018 EULAR recommendations and were followed longitudinally. Results: 102 patients with nGCA and 102 matched HC were included. One-year outcome data were available for 55 patients, of whom 34 relapsed and 21 remained relapse-free. Baseline B-cell homeostasis differed by disease course. Non-relapsers showed reduced total CD19+ B-cell counts and contraction of most B-cell subsets, while CD27-IgD-double-negative (DN) B-cell counts remained comparable to HC. Conversely, relapsers maintained total B-cell numbers above HC despite reduced memory compartments, driven by expanded naive and DN B cells, alongside preserved plasmablast and transitional B-cell counts. At 6 months, total B-cell counts increased only in non-relapsers. DN B cells showed the greatest divergence between groups and independently predicted relapse. DN B-cell counts also correlated with circulating T peripheral helper cell numbers, supporting extrafollicular immune pathway activation. Conclusion: nGCA is characterized by outcome-dependent disturbances in B-cell homeostasis. Expansion of the DN B-cell compartment identifies a relapse-prone immunophenotype and represents a clinically relevant biomarker for early risk stratification.

Background. Persistent SARS-CoV-2 antigen is a leading hypothesis for post-acute sequelae of SARS-CoV-2 infection (PASC), commonly known as Long COVID. Impaired Fc-mediated antiviral antibody function could contribute to inefficient clearance of infected cells and viral antigen despite preserved antibody levels. Therefore, we tested whether PASC is associated with altered Fc{gamma} receptor-mediated antibody function and differences in IgG1 Fc fucosylation, a major regulator of Fc effector function. Methods. Serum samples from RECOVER-Adult participants with prior SARS-CoV-2 infection (99 PASC, 139 non-PASC) were analyzed for anti-SARS-CoV-2 spike receptor-binding domain (RBD) IgG and subclasses, Fc{gamma}RIIIa- and Fc{gamma}RIIa-mediated reporter activity as surrogate measures of antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP), anti-RBD IgG1 Fc glycosylation, and circulating fucose-modifying enzymes. Results. Despite higher anti-RBD IgG and IgG1 abundance, PASC sera showed lower ADCC- and ADCP-associated Fc{gamma}R reporter activity, including after normalization for antibody abundance. Anti-RBD IgG1 showed greater fucosylation in PASC samples (30 PASC, 34 non-PASC). Serum FUCA2 was lower in PASC samples (24 PASC, 34 non-PASC), whereas FUCA1 and soluble CD16a levels did not differ between the two groups. Conclusion. PASC is associated with impaired antiviral IgG Fc function, increased IgG1 Fc fucosylation, and reduced circulating FUCA2, identifying a glycoimmune axis that may contribute to impaired Fc-dependent antigen clearance and represents a potentially targetable pathway in Long COVID.

Background: Early-life adversity (ELA) is one of the strongest predictors of poor mental and physical health later in life, increasing an individual's risk for disorders ranging from depression to metabolic syndrome. However, whether and how ELA shapes immune memory through adulthood, subsequently affecting susceptibility to immune-associated diseases such as autoimmunity, remains elusive. Methods: To address this question, we employed a translationally and ethologically relevant mouse model of resource deprivation, the limited bedding and nesting model, to study the long-term effects of ELA on the immune system. ELA was induced by limited bedding and nesting material in the cage during postnatal days (P)2-9, which provokes fragmented and unpredictable maternal behavior in the dams, and results in chronic stress in the pups. Nucleic acid Linked ImmunoSandwich Assay (NULISA) was used to survey the proteome of adult (~P90) mice of both sexes that experienced ELA vs. control conditions. Results: Using a novel proteomic method, we detected significant upregulation in the levels of IL-17A in the adult blood, primarily in females. Within females, ELA also upregulated IL-13 and CCL3. Three proteins, HGF, PDGFA, and WNT16, were significantly downregulated in ELA mice of both sexes. Conclusions: Being a hallmark proinflammatory cytokine, IL-17A is found to increase in patients with systemic lupus erythematosus (SLE), as well as in animals with lupus-like diseases in virtually all reports. Importantly, autoimmune diseases like SLE have a higher prevalence in women than men, and our data support this sex bias. Together, our data suggest that ELA shapes long-term immune function in a way that may increase risk for autoimmune diseases, with promise for the development of more targeted and personalized therapies for autoimmunity.

X-linked adrenoleukodystrophy (X-ALD) is the most common monogenic disorder affecting brain white matter, presenting a broad clinical spectrum from slowly progressive adrenomyeloneuropathy (AMN) to rapidly advancing cerebral demyelination. Factors influencing the variable disease expressivity remain poorly understood. We conducted shotgun metagenomic profiling of fecal samples from X-ALD patients and integrated these data with targeted plasma metabolomic analyses of amino acids and key metabolic intermediates. We identified distinct microbiome-associated metabolic signatures across X-ALD phenotypes. Notably, Bacteroides cellulosilyticus and Helicobacter apodemus abundance were significantly altered in AMN compared with childhood CALD patients. In parallel, X-ALD patients exhibited evidence of microbial metabolic remodeling characterized by altered amino acid metabolism, reduced folate biosynthetic potential, and enrichment of stress-adaptive pathways, including redox-associated functions, glyoxylate shunt activity, lipid A modification, lipopolysaccharide assembly, biofilm adhesin biosynthesis, and curli fiber production. Consistent with these microbial changes, plasma levels of branched-chain amino acids and methionine, as well as serum folate concentrations, were significantly reduced. Importantly, methionine levels showed an inverse correlation with neurofilament light chain (NfL) concentrations in patients with cerebral disease. Our findings reveal a previously unrecognized link between gut microbial metabolic capacity and systemic metabolic alterations in X-ALD. Our results reinforce previous evidence implicating methionine metabolism in disease severity. Collectively, these data support a modulatory role of the microbiota-gut-brain axis in neuroinflammatory and mitochondrial-related processes underlying X-ALD progression and highlight new opportunities for biomarker development and microbiome-informed therapeutic interventions.

Tissue-based assays provide broad screening for neural autoantibodies but remain vulnerable to technical and reader-dependent variability. We evaluated an integrated workflow combining automated 3,3'-diaminobenzidine tissue-based assay processing, digital whole-slide imaging, and interpretable deep learning. Model development used 2,357 retrospective serum and cerebrospinal fluid images referred from more than 80 institutions and processed in a centralized laboratory, with reference labels established by expert-consensus tissue-based assay interpretation. A prospective validation cohort included 200 images from 200 unique patients (154 positive and 46 negative; 100 serum and 100 cerebrospinal fluid). The same images were evaluated by two expert and two novice readers in a fixed-order two-round study, with unaided interpretation followed by artificial-intelligence-assisted interpretation after a washout of at least two weeks. The standalone binary classifier achieved an area under the receiver operating characteristic curve of 0.922, accuracy of 86.5%, sensitivity of 85.7%, and specificity of 89.1% in prospective validation. Pooled reader accuracy was 90.4% in the unaided round and 97.4% in the artificial-intelligence-assisted round (McNemar P < 0.001), with specificity of 82.6% and 99.5%, respectively. Novice-reader accuracy was 83.3% unaided and 96.5% with artificial-intelligence assistance (P < 0.001), approaching unaided expert accuracy of 97.5%. Among tissue-based-assay-positive cases, reader accuracy for cytoplasmic/nuclear antigen-associated versus neural surface antigen-associated staining-pattern subclassification was 88.8% unaided and 94.0% with artificial-intelligence assistance (P < 0.001). These findings support further multicentre, cross-platform evaluation of artificial-intelligence-assisted neural autoantibody tissue interpretation.

Rationale: The role of DNA methylation (DNAm) markers in the upper-airway microbiome related to asthma exacerbations despite inhaled corticosteroid (ICS) treatment is unexplored. Objectives: To identify whole-blood DNAm markers associated with the upper-airway microbiome related to asthma exacerbations despite ICS treatment. Methods: We analyzed salivary, nasal, and pharyngeal microbiome in 242 asthma patients (GEMAS) for discovery. We tested associations between whole-blood DNAm at 703,505 CpGs and 21 exacerbation-related microbiome traits. Replication for the nasal microbiome was evaluated in 272 (Project Viva) and 66 (SysPharmPediA) children with and without asthma. We analyzed differentially methylated regions (DMRs), gene enrichment, associations with blood gene expression (RNA-seq, n=119), and DNAm predictors of plasma proteins. Measurements and Main Results: Whole-blood DNAm at 73 CpGs and 550 DMRs was associated with 17 exacerbation-related microbiome traits (false discovery rate [FDR]<0.05), including genes implicated in immune and inflammatory responses and the 17q12-q21 asthma locus ORMDL3. Most CpGs were associated with Campylobacter (pharyngeal) and Leptotrichia (nasal) abundance. Ten DNAm markers were replicated (p<0.05), including the corticosteroid insensitivity-related gene PTPRR associated with nasal bacterial richness. Enrichment analyses identified genes related to diabetes, obesity, smoking, TGF-{beta}, and Wnt signaling and regulated by trichostatin A, NF-{kappa}B, and the glucocorticoid receptor (FDR<0.05). The CpG cg18994033, associated with pharyngeal Tannerella, was associated with ITM2C whole-blood expression. Nine DNAm-predicted plasma proteins involved in inflammation, tissue remodeling, and TGF-{beta} signaling were associated with seven exacerbation-related microbiome traits, including Streptococcus and Selenomonas. Conclusions: Whole-blood DNAm markers implicated in inflammation, immunity, and asthma comorbidities are associated with the upper-airway microbiome linked to asthma exacerbations.

Objective: Autoantibodies are central for pathology of rheumatoid arthritis (RA) and diabetes mellitus (DM) carrying high predictive and diagnostic value. Here, we explore the frequency and functional potential of DM-related antibodies (DMab) in RA. Methods: DMab targeting glutamic acid decarboxylase (GAD65ab), tyrosine phosphatase-like islet antigen 2 (IA2ab) and zinc transporter 8 (ZnT8ab) were measured in 326 DM-free RA patients (260 females, 66 males), using specific ELISAs. The DMab profile was analysed in relation to 30 clinical and serological variables. ZnT8+ cells were detailed by a public single-cell transcriptome in RA synovial tissue. Results: DMab production was more frequent in females, dominated by ZnT8ab (86%), followed by GAD65ab (26.4%) and IA2ab (7.0%). DMab-positive patients, and specifically ZnT8ab-positive women, had higher levels of insulin and HOMA-IR index and lower serum IL-6, IFN{gamma}, and IL-9. Multivariable logistic regression estimating ZnT8ab, IA2ab, GAD65ab production revealed that BDNF, insulin and DAS28 were positive predictors of ZnT8ab. Increasing ZnT8ab levels were inversely related to RAab in the mixed interaction model. CD14+ cell transcriptome identified association between an activated secretory cell type and increasing ZnT8ab levels. Additionally, ZnT8ab levels were in direct proportion with ZnT8 production in RA CD4+ T cells. Single-cell transcriptome of RA synovial tissue revealed ZnT8+ cells among the lubricin producing lining layer fibroblasts programmed for invasive behaviour. Conclusion: This study reveals frequent production of ZnT8ab in non-diabetic RA patients and identifies their antigenic target expressed in lining synovial fibroblasts of RA joints.

Systemic lupus erythematosus (SLE) is the prototypical systemic autoimmune disease defined by the production of autoantibodies directed against diverse self-antigens. Antinuclear antibodies (ANA) are central to SLE diagnosis, and anti-double-stranded DNA (anti-dsDNA) antibodies are clinically used to track disease activity. However, these biomarkers provide only partial insight into the full spectrum of autoimmune changes in patients. To expand the known landscape of SLE autoreactivity shared among patients and associated with disease activity, we performed an unbiased characterization of 1,268 SLE plasma samples from 695 SLE patients and 301 healthy controls using phage immunoprecipitation and sequencing (PhIP-seq). This technique preferentially displays linear epitopes, and thus provides a complementary set of autoreactivities to previously discovered autoreactive targets. Despite the marked clinical heterogeneity of SLE, machine learning applied to this data surfaced a shared, reproducible signature that robustly discriminates between SLE and healthy controls in two validation cohorts. Autoreactivities in SLE were significantly enriched for RNA-binding protein targets. Autoreactive proteins containing Basic Acidic Dipeptides (BAD) repeat domains, features associated with biomolecular condensate formation, distinguished patients with high disease activity (by SLEDAI score) from patients with no disease activity. Among all shared autoreactivities, a peptide derived from YTHDF2 emerged as the most prevalent target across SLE cohorts occurring in ~25% of SLE patients and displayed striking sequence similarity to a peptide derived from the Epstein Barr virus (EBV) lytic switch protein BZLF1. Competition assays demonstrated higher-affinity binding to the viral peptide, supporting a model in which antiviral humoral responses to EBV may drive secondary epitope spreading toward molecularly mimicked self-antigens. Remarkably, orthogonal validation using the Luminex bead platform containing a panel of only 10 peptides, including BZLF1, demonstrated strong discrimination between SLE and healthy controls (AUC = 0.95). Together, these findings identify a rich, greatly expanded landscape of autoreactivities in SLE, candidate biomarkers associated with high disease activity, and provide mechanistic insight linking EBV-driven immunity to epitope-specific autoimmunity in lupus.

Background: Five biologics target sequential nodes of the type 2 (T2) inflammatory axis in severe asthma and have each been anecdotally linked to eosinophilic or paradoxical inflammatory adverse events. Whether these reflect a class effect or drug-specific signatures is untested. Methods: We performed a case-noncase disproportionality analysis of FAERS, 2022-2024. Asthma-indication reports naming tezepelumab, dupilumab, mepolizumab, benralizumab, or omalizumab as primary suspect were compared against the pooled other four (active-comparator design) across 7 pre-specified eosinophilic, vasculitic (including EGPA), cutaneous, and ocular outcomes. A signal was robust if the reporting odds ratio (ROR) 95% CI lower bound exceeded 1 and a Bayesian criterion was also met. Results: Among 50,360 reports (dupilumab n=29,652; mepolizumab n=8,846; omalizumab n=5,484; benralizumab n=4,372; tezepelumab n=2,006), benralizumab showed robust signals for EGPA (ROR 5.06), vasculitis (ROR 4.60), and peripheral eosinophilia (ROR 1.80). Mepolizumab showed a robust vasculitis signal (ROR 1.85); its similarly sized EGPA association narrowly missed the robustness criterion despite significance after correction for multiple testing. Dupilumab showed no EGPA/vasculitis excess but a robust ocular-inflammation signal (ROR 7.81). Tezepelumab and omalizumab showed no robust signal in any domain. EGPA/vasculitis onset occurred earlier after dupilumab (median 20-44 days) than anti-IL-5-axis agents (median 195-550 days; p[&le;]0.012); mepolizumab's signal did not reproduce over the full 2015-2024 window (calendar-time confounding). Conclusion: FAERS active-comparator analysis reveals drug-specific, not class-uniform, adverse-event reporting patterns: anti-IL-5-axis agents disproportionately report EGPA/vasculitis, and dupilumab disproportionately reports ocular inflammation with markedly earlier onset. These hypothesis-generating signals cannot establish causality and require confirmation through case-level or comparative pharmacoepidemiological studies.

Objective: Autoimmune hepatitis (AIH) and primary biliary cholangitis (PBC) frequently present as overlap syndromes, characterized by shared sexual dimorphism and elevated intestinal Veillonella dispar (V. dispar) abundance, yet exhibiting distinct hallmark pathological manifestations. This study aimed to elucidate the shared pathogenesis, phenotypic differentiation mechanisms and sex-specific predisposition of AIH and PBC induced by V. dispar. Methods: Clean-grade and germ-free (GF) mice were employed to establish AIH and PBC models. Model induction involved oral gavage of V. dispar and intraperitoneal injection of either liver-specific antigen S100 (for AIH) or a pyruvate dehydrogenase complex E2 subunit (PDC-E2) mimetic peptide (for PBC). Single-cell RNA sequencing, metabolomics, transmission electron microscopy, western blotting, and flow cytometry were utilized to elucidate the underlying mechanisms. Results: V. dispar successfully induced autoimmune liver disease-like features in mice, characterized by significant intrahepatic B cell infiltration. Mechanistically, V. dispar caused systemic arginine reduction, leading to intrinsic apoptosis of gonadal stromal cells and a subsequent reduction in testosterone. This decreased testosterone weakened its inhibitory effect on B cell activating factor (BAFF) secretion, thereby amplifying B cell-mediated immune responses. Furthermore, in the presence of S100 or PDC-E2 mimetic peptide, V. dispar also facilitated Th17 cell activation, which guided the phenotypic differentiation into AIH or PBC, respectively. Consistent with these findings, our clinical observations revealed that patients with AIH and PBC tended to harbor enriched V. dispar, along with lower serum arginine and testosterone. In addition, elevated serum levels of BAFF and IL-17 were also observed in these patients. Conclusion: V. dispar induces reduced testosterone levels and upregulation of BAFF, leading to intrahepatic B cell expansion, which serves as the common pathogenic basis for AIH and PBC. The presence of S100 and PDC-E2 subsequently drives further maturation of these expanded B cells and promotes Th17 cell activation, thereby determining the phenotypic divergence between AIH and PBC.

While the immune reset induced by CD19 CAR T therapies has shown striking promise in systemic lupus erythematosus (SLE), the nature and duration of benefit mediated by B cell depletion remains unclear. Loss of tolerance in SLE is driven by extrafollicular and germinal center interactions between dendritic cells and self-reactive T and B cells. We hypothesized that CD19 CAR-engineered regulatory T cells (CAR19 EngTreg), capable of suppressing multiple autoimmune effector cell types, might promote long-term tolerance without producing high-levels of inflammatory mediators. To generate CAR19 EngTreg, we combined CD19 CAR delivery with homology directed repair at the FOXP3 locus to drive constitutive, stable FOXP3 expression in CD4 T cells. CAR19 EngTreg expressed canonical Treg markers; exhibited minimal inflammatory cytokine production; and blocked human B cell differentiation into antibody secreting plasma cells. In humanized mouse models, transfer of CAR19 EngTreg led to a reduction in B cell numbers with low inflammatory cytokine production relative to CD19 CAR Teff, and reduced tissue inflammation. In a short-term, in vivo imiquimod-induced inflammatory model, murine CAR19 EngTreg reduced skin pathology, spleen size, and inflammatory cytokines. Finally, in two distinct mouse models of lupus, CAR19 EngTreg persisted for >4 months leading to reduced autoimmune T and B effector populations, sustained reduction in multiple autoantibodies and improved renal function and histopathology. Thus, CAR19 EngTreg may offer a promising and durable therapeutic avenue for B cell-mediated autoimmune disorders capable of long-term regulation of both autoreactive B and T cells.

The gut-brain axis has emerged as a critical modulator in neurological diseases, including stroke. While acute post-stroke dysbiosis is well established, it remains unclear whether these alterations persist long-term and can be therapeutically modulated. This study addresses this gap through integrated metagenomic and metabolomic profiling in two independent clinical stroke cohorts, complemented by experimental models. Experimental stroke induced persistent changes in gut microbiota composition and altered short-chain fatty acid profiles. In patients, microbiota composition remained distinct from controls up to three months after ischemic stroke or transient ischemic attack (TIA), accompanied by persistent reductions in propionic and valeric acid and reduced abundance of Prevotella-associated microbial signatures. We performed a randomized, double-blind interventional trial (PRISE) testing a multispecies probiotic versus placebo, using household members as additional controls. Probiotic intervention led to microbiome compositional changes with increased abundance of beneficial taxa and significantly improved functional recovery. The tested probiotic strains showed anti-inflammatory and antioxidant effects in vitro. These findings suggest that targeted modulation of the microbiome represents a promising therapeutic avenue to improve chronic stroke recovery, warranting validation in larger Phase III clinical trials.

INTRODUCTION: Alzheimer's disease (AD) begins with cerebral amyloid-beta (A{beta}) deposition decades before clinical symptoms. While the microbiota-gut-brain axis has been implicated in AD, its role in this preclinical phase remains unclear. We examined potential links between gut microbiome features and presymptomatic cerebral A{beta} burden. METHODS: Asymptomatic individuals (n=101, median age 70.0 years, 53% female) underwent cognitive assessment, cerebral A{beta} quantification, and stool metagenomic sequencing. Associations between microbial characteristics and A{beta} levels were performed using multivariable-adjusted ordinal logistic regression. RESULTS: Gut microbiota composition varied with A{beta} levels (p(perm)=0.03, R2=0.014). Higher A{beta} was associated with increased Alistipes communis, and decreased Anaerotignum faecicola and Eubacterium rectale, abundance (q<0.001). A{beta}-associated microbiome traits corresponded to lower biosynthetic capacity for {gamma}-aminobutyric acid, and systemic regulators of immunity and autophagy (q<0.01). DISCUSSION: Early A{beta} accumulation is associated with distinct gut microbial signatures and reduced neuroactive metabolic potential, identifying targets for potential preclinical AD intervention.

Objective: The principal diagnostic test for rheumatoid arthritis (RA) relies on the detection of anti-cyclic citrullinated peptide (CCP) antibodies. The CCP test exhibits moderate sensitivity and specificity but does not adequately detect a high proportion of cases or effectively distinguish RA from related conditions such as systemic lupus erythematosus (SLE). To discover improved diagnostic biomarkers for RA, we performed a comprehensive proteomic analysis of antibody-bound antigens present in RA, SLE, and healthy control (HC) sera and identified proteins associated with transforming growth factor-beta-1 (TGF-beta-1) signaling and assessed the sensitivity and specificity of antibodies against these antigens in comparison to CCP. Methods: Total antibodies were immunoprecipitated from pooled sera of HC individuals (n=3) and patients with clinically diagnosed RA (n=3) or SLE (n=3). Antibody-bound antigens were identified using multidimensional protein identification technology (MudPIT) shotgun proteomics. Candidate antigens associated with TGF-beta-1 signaling were selected for evaluation, and corresponding serum autoantibodies were assessed for their ability to classify RA using a POC lateral-flow immunochromatographic format. Results: Proteins present in antibody immunoprecipitations included TGF-beta-1-induced protein (TGFBI), thrombospondin 1 (TSP1), serum amyloid A1 (SAA), and fibronectin (FN). POC assays using these candidates, as well as TGF-beta-1 itself, as capture antigens were used to detect corresponding serum autoantibodies in 107 subjects with clinically diagnosed RA, 42 subjects with other rheumatic diseases (non-RA), and 121 HC subjects. Receiver operating characteristic curves were constructed using RA and HC groups to assess diagnostic performance, and optimal cutpoints identified using the Youden Index (maximizing the sum of sensitivity and specificity). CCP test results were determined using previously established thresholds. Using an analysis et of 169 subjects in the HC and RA groups who had values for TGFBI, SAA, and CCP, TGFBI autoantibodies achieved a sensitivity of 82%, specificity of 98.8%, positive likelihood ratio (PLR) of 65.6, and NLR of 0.2. SAA autoantibodies achieved a sensitivity of 92.1%, specificity of 85%, PLR of 6.1, and NLR of 0.1. Both outperformed CCP (sensitivity of 68.5%, specificity of 95%, PLR of 13.7, and NLR of 0.3). Using an analysis set of 120 subjects in the RA and non-RA groups who had values for TGFBI, SAA, and CCP, TGFBI and SAA autoantibodies exhibited sensitivities and specificities of 82 and 92.1% and 74.2 and 45.2%, respectively, compared to 68.5 and 74.2% for CCP. Autoantibodies to TGF-beta-1, TSP1, and FN exhibited only modest diagnostic performance. Conclusion: RA sera contain autoantibodies targeting multiple proteins associated with the TGF-beta-1 signaling pathway that is implicated in inflammatory processes in RA. Among the candidates tested, TGFBI and SAA autoantibodies exhibited the highest diagnostic performance in a POC lateral-flow format, supporting their potential utility as biomarkers for RA diagnosis. These findings also support further investigation of the TGF-beta-1 signaling pathway as a potential therapeutic target in RA.

The non-canonical NF-kappa B pathway, in which NFKB2 plays a central role, is critical for lymphoid organ development and immune homeostasis. Pathogenic NFKB2 variants have been strongly associated with a broad spectrum of human pathologies, notably immunodysregulation syndromes, characterized by recurrent infections, autoantibody production and endocrine abnormalities. The mechanisms underlying the resulting immune defects remain incompletely understood. In the present study, we characterized the immune phenotype of a novel rat model harboring a Nfkb2 non-sense mutation located in the c-terminal region of the gene (c.2602T>A; p.Tyr867*, Nfkb2p.Tyr867*). This variant has been identified in patients with a familial form of common variable immunodeficiency (CVID) presenting with autoimmunity manifestations. Using this model, we demonstrate that mutated NFKB2 resulted in profound alterations of the thymic microenvironment, including reduced K5+ medullary thymic epithelial cells and decreased AIRE expression, accompanied by altered thymocyte development and impaired thymic regulatory T populations. Peripheral lymphoid organization was also profoundly affected, with absence of lymph nodes, defects in the splenic marginal zone, and alterations of CD4+ and CD8+ T-cell homeostasis, including impaired Treg populations and reduced ICOS expression on CD4+ T cells. The B-cell compartment was markedly altered, with impaired B-cell maturation, characterized by accumulation of IgM+IgD- transitional cells and a marked reduction of IgD+ mature B cells. These abnormalities were associated with impaired humoral immunity and complete absence of circulating immunoglobulins. Collectively, our findings define a systemic combined immunodeficiency phenotype in the Nfkb2-mutated rat, highlighting its utility for studying the role of non-canonical NF-kB signaling in immune system organization and adaptative immunity.

Background. Polygenic risk scores (PRS) capture inherited susceptibility to asthma, whereas methylation risk scores (MRS) may reflect disease-associated epigenetic variation. We assessed whether these scores differ in patients requiring biologic therapy and whether MRS change after mepolizumab initiation. Methods. Cross-sectional analyses in the GEMAS study included 699 participants with genotype data (428 with asthma, 271 controls) and 668 with blood DNA methylation data (408 with asthma, 260 controls). We evaluated 35 existing asthma PRS and derived six MRS from published epigenomic asthma studies. Longitudinal MRS changes after mepolizumab initiation were assessed in 16 GEMAS patients and were replicated in 20 patients from the MEGA study. Results. Twenty-eight PRS differentiated biologic-treated patients from controls (areas under the curve [AUC], 0.68-0.75), but none distinguished biologic-treated and non-treated patients after multiple-testing correction. MRS was higher in asthma without biologic than in controls (odds ratio [OR], 1.64; 95% CI, 1.34-1.99) and lower in biologic-treated than in asthma without biologic patients (OR, 0.54; 95% CI, 0.35-0.81). MRS did not differ significantly between biologic-treated patients and controls. Following mepolizumab initiation, MRS decreased at 6 and 12 months in GEMAS (p=4.81x10-5 and p=2.40x10-5, respectively). The 6-month decrease was also observed in MEGA (p=3.25x10-9). MRS epigenetic markers were predominantly hypermethylated, opposite to their described pattern in asthma risk. Conclusions. Asthma PRS did not differ significantly between biologic-treated and non-biologic-treated patients, but asthma MRS were lower in biologic-treated patients. The MRS decreased after mepolizumab initiation in two independent cohorts, consistent with a reversal of asthma-associated epigenetic patterns.

Background: Idiopathic normal pressure hydrocephalus (iNPH) is a potentially treatable neurological disorder whose molecular basis remains incompletely understood. Metabolomic studies in iNPH are scarce and have focused largely on comparisons with other neurological disorders or on cerebrospinal fluid (CSF) alone. Consequently, the broader metabolic phenotype of iNPH and the extent to which CSF alterations are reflected in peripheral blood remain unclear. We therefore compared paired CSF and plasma metabolomic profiles from patients with iNPH and controls. Methods: Paired CSF and plasma samples from 10 patients with iNPH and 10 controls were analyzed via hydrophilic interaction liquid chromatography-mass spectrometry. After quality control and deduplication, 134 CSF and 149 plasma metabolites were quantified. Protein-normalized abundances were log2-transformed and analyzed via age-adjusted ordinary least-squares regression as the primary model, with group-only regression and Mann-Whitney U tests used for sensitivity analyses. Significance was defined as Benjamini-Hochberg q < 0.05 and |log2-fold change| larger or equal to log2(1.5). Results: Age-adjusted analysis revealed 56 altered CSF metabolites in iNPH patients, 34 of which were increased and 22 of which were decreased; 47 were also significantly altered according to the Mann-Whitney U test. The CSF phenotype encompassed energy and carnitine/acylcarnitine metabolism, redox and one-carbon/transsulfuration-associated metabolism, tryptophan-kynurenine metabolism, amino acid and nucleotide turnover, and neuronal- or membrane-associated metabolites. Prominent changes included increased succinate, 3-hydroxybutyrate, oxidized glutathione, cystathionine, kynurenine and kynurenic acid, together with decreased carnitine, short-chain acylcarnitines, methionine and ergothioneine. In plasma, 27 metabolites met the age-adjusted significance criteria, but only allantoin, N-formylmethionine, 3-hydroxybutyrate, N-acetylmethionine and kynurenic acid were also significant according to the Mann-Whitney U test. Global CSF-plasma effect-size concordance was moderate. The most consistent cross-compartment features were 3-hydroxybutyrate, N-formylmethionine and N-acetylmethionine. Conclusions: iNPH was associated with a broad and comparatively consistent CSF-centered metabolic phenotype, whereas plasma showed a smaller, partial and model-sensitive reflection of these alterations. These findings support altered energy substrate handling, redox and sulfur-associated metabolism, tryptophan-kynurenine metabolism and neuronal or membrane-associated metabolite handling as components of iNPH biology. These exploratory findings require validation in larger, longitudinal cohorts.