Journal of Allergy and Clinical Immunology

Asthma is a chronic inflammatory disease affecting over 300 million people worldwide. This disease has multiple underlying etiologies, and a major endotype of asthma is characterized by cellular and molecular signatures of type 2 (allergic) inflammation. In this study we conducted bronchoscopies with airway segmental allergen challenge in allergic asthmatics to dissect airway responses to allergen. Using mass cytometry and single-cell RNA sequencing, we characterized with high resolution the airway immune landscape before and after allergen challenge and the heterogeneity present between subjects. This heterogeneity generally falls along a type 1/ type 2 axis. In type 2 high individuals, we identified allergen-reactive Th2 cells by using TCR sequences to barcode clonal T cell populations in single-cell genomic and activation-induced marker expression assays. These potentially pathogenic Th2 cell clones were present systemically and expanded following allergen challenge, connecting local lung inflammation to systemic clonal Th2 cell dynamics. Th2 cell airway ingress was coordinated with myeloid cell expression of T cell chemoattractants including CCL17 and CCL22. This study provides insight into the molecular and cellular components of allergen-induced tissue inflammation in asthma. Deeper resolution of the T cell response to aeroallergens may inform novel diagnostic and therapeutic strategies for asthma and other allergic airway diseases.

BackgroundAsthma exacerbations are caused by dysregulated cellular interactions between airway and immune cell populations. Circulating microRNAs (miRNAs) are potential biomarkers for asthma exacerbations; however, their target airway cells remain poorly defined. ObjectiveTo identify the cell types that are regulated by the circulating microRNAs linked to asthma exacerbations and the extent to which the cells are regulated by miRNAs. MethodsWe integrated a curated panel of exacerbation-associated circulating miRNAs with single-cell RNA sequencing (scRNA-seq) profiles from induced sputum of 16 asthma patients and 8 healthy controls. Experimentally validated miRNA-target interactions were combined with cell-type-specific differential expression. Elastic Net regression and SHAP analysis quantified gene-level regulatory contributions, yielding a composite Regulation Strength metric. Findings were validated against four independent GEO datasets. ResultsImmune cells, including monocytes, dendritic cells, and macrophages, demonstrated the strongest statistically significant miRNA regulatory signals, in contrast to airway epithelial cells.hsa-miR-222-3p showed opposing regulatory effects in mature versus alveolar macrophages, indicating differentiation-state-dependent activity, while B_Plasma cells showed no detectable regulatory effect from any miRNA tested. Independent GEO validation confirmed higher expression of protective miRNAs (hsa-miR-126-3p, hsa-miR-146b-5p) in healthy individuals, consistent with prior CAMP cohort associations. ConclusionCirculating miRNAs show cell-type-specific regulatory activity, strongest in monocytes, dendritic cells, and macrophages. hsa-miR-222-3p showed opposing regulatory directions between macrophage subtypes, while B_Plasma cells showed no effect, validated across independent GEO cohorts.

De novo mutations underlying early-onset systemic autoinflammatory diseases have identified key regulators of innate immunity, including pathways that drive IL-1-mmediated inflammation. Here we describe two unrelated girls presenting in infancy with systemic inflammation and sterile lung abscesses, who harbor the same de novo gain-of-function mutation in dysferlin (DYSF; p.P1449L) Myeloid expression of DYSF P1449L enhances COP-I binding, promotes dysferlin retention in the ER-Golgi, and disrupts vesicle trafficking and membrane homeostasis. Dysferlin-mutant monocytes and M2-like macrophages exhibit ectopic perinuclear NLRP3 inflammasome activation, increased IL-1{beta} production, and inflammatory cell death. Mutant M2-like macrophages further display defects in membrane expansion, exocytosis, efferocytosis, and debris clearance, promoting neutrophil recruitment and DAMP-signal amplification that culminate in sterile abscess formation. These findings identify dysferlin as a regulator of membrane homeostasis in myeloid cells, establish defective membrane-stress adaptation as trigger of NLRP3 inflammasome activation, and define a novel IL-1 mediated autoinflammatory disease caused by gain-of-function DYSF mutations.

Meibomian gland dysfunction (MGD), a disorder of the eyelid's modified sebaceous glands, is the leading cause of dry eye disease and ocular surface morbidity, yet the immune mechanisms driving gland obstruction remain poorly defined. In a cross-sectional study of 66 patients with ocular surface inflammation, we used meibography and spectral flow cytometry of tear washes to identify a disease-associated, remodeled neutrophil state whose abundance is associated with gland atrophy. Using single-cell transcriptomics in a murine model of immune-mediated MGD, we revealed a disease-associated neutrophil state that exhibited ocular surface-enrichment, CD14 and ICAM-1 expression, and elevated IFN-{gamma} response and inflammatory signatures. Spatial transcriptomics localized IFN-{gamma} signaling and neutrophil migration signatures to the periglandular compartment. The remodeled neutrophils exhibited PAD4-dependent histone citrullination, with Padi4 deletion reducing NET-associated obstructive plugging, thus identifying PAD4-dependent NETotic activity as their disease-producing output. Inhibition of IFN-{gamma} signaling phenocopied Padi4 deficiency, yet combined disruption of these pathways provided no additive protection, indicating that IFN-{gamma} and PAD4 function as separable required inputs. Remodeled neutrophils accumulated under both conditions, uncoupling disease severity from cell abundance alone. Our findings support immune-mediated obstructive MGD as a mechanistic endotype driven by the IFN-{gamma}- and PAD4-dependent effector output of a remodeled neutrophil state.

BackgroundAlthough human milk (HM) confers important health benefits, how bioactive milk components (e.g., microbiota, oligosaccharides, and fatty acids) interact with infant genetics to influence childhood atopy remains poorly understood. ObjectiveWe investigated interactions between infant genomic susceptibility and exposure to maternal human milk components (HMCs) and assessed whether integrating these genetic and milk features improves prediction of childhood atopy. MethodsLeveraging infant genomic and maternal HMC data from the CHILD Cohort Study, we conducted gene-milk interaction analysis using linear regression models that integrated polygenic risk scores (PRS) of nursing infants with multiple HMC types. Gradient-boosting machines (GBMs) were used to evaluate predictive performance of HMCs and infant PRS for childhood atopy. ResultsChildhood atopy was associated with interactions between infant genomics (e.g., PRS associated with atopy) and exposure to specific human milk microbes (e.g., Abiotrophia, PBonf=0.005, {beta}=0.29), as well as networks of co-occurring HMCs (e.g., a module containing Bifidobacterium longum, 2-fucosyllactose, and eicosapentaenoic acid, P=0.009, {beta}=-12.3). A GBM integrating HMCs and infant PRS achieved the highest predictive performance for childhood atopy with an area under the curve (AUC) of 0.78, outperforming models based on individual HMC types or PRS alone (AUC range: 0.54-0.63). ConclusionIntegration of maternal HMC exposures with infant genomics reveals interaction effects that contribute to prediction of childhood atopy. Understanding how early-life exposures such as HMCs impact the health of children differently depending on their genomic profiles may facilitate the development of personalized intervention strategies to reduce the burden of these health outcomes during childhood. Key messagesO_LIInteractions between infant polygenic risk and exposure to human milk components are associated with childhood atopy. C_LIO_LINetworks of co-occurring human milk microbiota, oligosaccharides, and fatty acids may influence childhood atopy, with effects varying by infant genomic susceptibility. C_LIO_LIIntegration of human milk components with infant genomics improves prediction of childhood atopy compared with individual milk components or genomics alone. C_LI Capsule SummaryThis study demonstrates that interactions between infant polygenic risk and maternal milk components improve prediction of childhood atopy, highlighting opportunities for personalized early-life prevention strategies.

Background: The systemic immune responses associated with persistent respiratory symptoms (PRS) after exposure to airborne environmental pollutants remain poorly understood. Objective: To identify immune disturbances associated with PRS, defined as persistent wheeze, cough, or breathlessness, we examined systemic immune responses and airway function in a cross-sectional cohort with detailed histories of airborne pollutant exposure. Methods: Never-smoking post-deployment Veterans with PRS (n=16) or without PRS (n=24) underwent chest computed tomography, pulmonary function testing, and oscillometry to assess structural and functional airway abnormalities. Peripheral blood mononuclear cells (PBMCs) were stimulated with anti-CD3/CD28 antibodies, lipopolysaccharide, or {beta}-glucan, and cytokine production was measured. Correlation analyses evaluated associations between cytokine responses and physiological measures of airway function. Results: Oscillometry, but not conventional pulmonary function testing or chest computed tomography, detected small-airway abnormalities in participants with PRS, including significantly greater frequency dependence of resistance and higher resonant frequency. Baseline PBMC cytokine concentrations were similar between groups. After stimulation, however, PBMCs from participants with PRS showed increased IL-17A production consistent with a type 17 (T17) response; innate stimulation also increased the type 2 (T2) cytokines IL-33 and IL-4. T2/T17 cytokine responses correlated positively with oscillometric measures of small-airway dysfunction. Conclusion: Individuals with PRS exhibited a stimulus-dependent systemic T2/T17 immune signature that was associated with early small-airway dysfunction. Clinical Implication: Stimulus-dependent systemic immune profiling, combined with oscillometry, may help identify early respiratory abnormalities in pollutant-exposed individuals whose conventional pulmonary tests remain normal.

Background Childhood asthma has been linked to individual foods, nutrients, diet-quality scores, and broad dietary patterns, but specific early-childhood food co-consumption patterns and their microbial/metabolic correlates remain unclear. Objective To identify data-driven early-childhood dietary patterns associated with asthma/wheeze, evaluate prospective associations with age-6 asthma/wheeze, assess external support in NHANES, and characterize associated gut microbiome and stool/plasma metabolomic profiles. Methods We analyzed age-3 food frequency questionnaire data from children in the Vitamin D Antenatal Asthma Reduction Trial. Dietary patterns were derived from log-transformed, energy-residualized, standardized food-frequency variables using principal component analysis. Associations with age-3 asthma/wheeze were tested using covariate-adjusted logistic regression. Prospective associations were evaluated using age-6 asthma/wheeze as the outcome. Leading PC food-cluster proxies were evaluated in NHANES 2021-2023 among children aged 2-3 years, with sensitivity analyses in ages 2-5 and 2-8 years. Selected PCs were tested for associations with gut microbiome, stool metabolome, and plasma metabolome features. Results PC1 contrasted a sweet snack/fried-food pattern with a fruit/vegetable-rich pattern, whereas PC3 captured a processed meat/fried-food axis. PC3 showed the strongest positive association with age-3 asthma/wheeze (odds ratio per 1-SD increase, 1.42; P = 0.00109). Age-3 dietary PCs were prospectively associated with age-6 asthma/wheeze, with the overall PC set improving model fit in permutation testing (likelihood-ratio statistic = 20.3; empirical P = 0.033) among 394 cases and 397 controls. In NHANES children aged 2-3 years, the PC3 food-cluster proxy was positively associated with current asthma (odds ratio, 1.59; 95% confidence interval, 0.95-2.67). PC3 was also linked to gut microbial and stool/plasma metabolomic variation, including steroid sulfate, vitamin E-related, nucleoside-related, and lipid-related metabolites. Conclusions Early-childhood asthma/wheeze-associated dietary signals were better represented as food co-consumption patterns than isolated single-food effects. Age-3 dietary patterns were associated with concurrent and prospective asthma/wheeze, showed directionally consistent NHANES support, and were linked to microbiome and metabolomic variation.

Introduction: Idiopathic inflammatory myopathy-associated interstitial lung disease (IIM-ILD) is a major cause of morbidity and mortality. We tested whether quantitative myositis-specific autoantibodies and proteomic profiling capture biological heterogeneity and prognosis beyond categorical serology. Methods: Myositis-specific autoantibodies were quantified using the luciferase immunoprecipitation systems assay, and 184 serum proteins were measured in 226 IIM patients; 199 with higher-ILD-risk autoantibodies (Jo-1/MDA5/PL-7/PL-12/EJ), 27 with lower-ILD-risk autoantibodies (Mi-2/NXP2/TIF1{gamma}) and 35 healthy controls. We identified shared and subgroup-specific differences by comparing each subgroup with controls, then correlated quantitative autoantibody and protein levels within higher-risk subgroups. Additional analyses included pathway enrichment, unsupervised clustering, longitudinal lung-function change, and mortality. Results: Higher-ILD-risk subgroups shared interferon-responsive CXCR3 chemokine, IL-6/JAK/STAT3, and apoptosis signaling. Dominant autoantibody subgroup profiles differed: interferon/CXCR3 chemokine signaling with T-cell activation and monocyte recruitment in anti-Jo-1; proteostasis/antigen-processing and vascular/cellular stress signals in anti-MDA5; IL-6/macrophage and profibrotic signals in anti-PL-12; and apoptotic and innate immune activation with metabolic/redox-stress signals in anti-PL-7. Within higher-ILD-risk subgroups, autoantibody levels correlated with interferon-response, profibrotic, and metabolic/vascular proteins (r=0.40-0.74; nominal p<0.05). Unsupervised clustering identified four proteomic endotypes beyond autoantibody type, including an injury-stress endotype associated with worse lung function and poorer survival, and a chemokine/checkpoint-high endotype with relatively preserved lung function. Across 203 participants with 38 deaths, a weighted 10-protein score was associated with all-cause mortality (HR, 3.28; 95% CI, 2.12-5.08; p<0.001). Conclusions: Integrated quantitative autoantibodies and proteomic profiling revealed shared inflammatory biology, autoantibody-associated signatures, and an injury-stress endotype associated with poor survival in IIM-ILD, supporting risk stratification beyond categorical serology.

Immune adaptation after birth requires coordinated remodeling across the airway-blood axis, yet how these compartments communicate during early postnatal life remains poorly understood. In preterms, dysregulation of this immune response determines mortality and morbidity. We performed paired single-cell RNA sequencing (scRNA-seq) and mass spectrometry-based proteomic profiling of airway samples (deep pharyngeal aspirates, DPA) and matched whole blood from 19 neonates spanning extreme preterm (<28 weeks) to term gestation, sampled at two postnatal timepoints (1-3 days and 4-10 days). This integrated multiomic atlas revealed coordinated and compartment-specific immune adaptation across the airway-blood axis during the first week of life. We observed gestational age-dependent shifts in cell composition in both compartments, including expansion of immature hematopoietic and myeloid populations in blood and distinct myeloid and epithelial programs in DPA, accompanied by compartment-specific inflammatory and innate immune gene expression that evolved during the first week of life. Unexpectedly, we identified a circulating respiratory epithelial-like cell population in neonatal blood whose abundance correlated with prematurity and lung disease and which we validated by flow cytometry as well as in independent datasets. Matched plasma proteomics revealed a gestational age axis and a disease-associated axis; an Organ-to-System Score derived from lung-restricted plasma proteins tracked lung injury severity and distinguished trajectories toward chronic lung disease as early as 72 hours after birth. Together, these multiomic data describe coordinated and divergent immune programs across mucosal and systemic compartments in early preterm life, identify circulating respiratory epithelial-like cells as a candidate blood-accessible signal of airway-blood interface perturbation, and prioritize ciliated-myeloid signaling (LAMA5-ITGB1) as a candidate axis underlying neonatal lung disease. This systems-level framework provides a platform for biomarker discovery and mechanistic studies in larger cohorts.

Rationale: Fibrosing interstitial lung diseases (ILDs), including idiopathic pulmonary fibrosis (IPF), have heterogeneous postdiagnosis courses. Existing prognostic tools often rely on pulmonary function testing, imaging, or laboratory data that may not be uniformly available and rarely provide individualized, time-updated forecasts of multiple clinically relevant trajectory events. Objectives: To determine whether longitudinal healthcare claims can generate test-free, time-updated forecasts of clinically actionable postdiagnosis trajectory events in patients with fibrosing ILD and IPF. Methods: Using de-identified longitudinal administrative claims from the Merative MarketScan Commercial Claims and Encounters and Medicare Supplemental and Coordination of Benefits databases, we constructed code-based digital twins (ZeBRA) encoding each patient's evolving diagnosis, pharmacy, and procedure history. Horizon-specific models forecast seven claims-observable events: supplemental oxygen escalation, pulmonary hypertension, acute respiratory failure/ARDS composite, nausea, diarrhea, liver injury, and gastrointestinal bleeding. The analytic cohort included 345,918 patients with fibrosing ILD, including 17,284 with IPF. Predictions were evaluated in a time-updated follow-up setting at 1-month, 6-month, and 1-year horizons. Results: Predictive discrimination was consistent across events and horizons. In fibrosing ILD, AUC ranged from 0.691 for liver injury at 1 year to 0.912 for oxygen dependence at 1 month, with PPV ranging from 0.189 to 0.714. At 1 month, oxygen dependence achieved an AUC of 0.912 +/- 0.005 with PPV of 0.473 +/- 0.005, and pulmonary hypertension achieved an AUC of 0.881 +/- 0.005 with PPV of 0.539 +/- 0.005. The IPF subcohort showed analogous horizon-dependent performance, with AUC ranging from 0.687 to 0.855 and PPV from 0.245 to 0.817. At 1 month in IPF, PPV was 0.753 +/- 0.015 for oxygen dependence and 0.817 +/- 0.011 for pulmonary hypertension. Conclusions: A test-free digital-twin framework derived from routine longitudinal claims can provide individualized, time-updated forecasts of actionable fibrosing ILD and IPF trajectory events without imaging, pulmonary function tests, laboratory data, clinical notes, or patient-facing data collection. These forecasts may support low-burden reassessment, anticipatory care planning, and earlier recognition of elevated near-term risk for respiratory deterioration or management-altering complications.

Introduction Individuals with Gastroesophageal Reflux Disease (GERD) often experience airway inflammation and bronchoconstriction as a result of reflux aspiration and/or vagally mediated reflexes. The Impulse Oscillometry System (IOS) is a sensitive, non-invasive tool that can detect subtle changes in airway resistance. While there are few studies exploring airway resistance in GERD globally, no studies have been conducted in Sri Lanka. Therefore, we aim to compare the airway resistance using IOS in medical undergraduates with and without symptomatic GERD. Methods A cross-sectional study was conducted among 811 medical undergraduates (31.1% male; mean age 22.9 years) at the Faculty of Medicine, Rajarata University of Sri Lanka. Symptomatic GERD was screened using the validated GerdQ, and a cutoff of[&ge;]8 was used to diagnose those with GERD symptoms. Of the 242 (29.8%) with GERD symptoms, 188 with chronic respiratory diseases or recent respiratory symptoms were excluded, and 50 with GERD symptoms and 50 healthy, age- and sex-matched controls were recruited. Lung function was assessed using IOS and spirometry, according to American Thoracic Society (ATS) and European Respiratory Society (ERS) guidelines. Results Prevalence of symptomatic GERD among medical undergraduates was 29.8% (242/811). The common symptoms among GERD were heartburn (89.6%, 217/242) and regurgitation (85.5%, 207/242). Oscillometry parameters including, R5-R20 Hz (15.29% vs 9.69%, p=0.002), Fres (14.95 1/s vs 13.37 1/s, p = 0.04), and AX (0.66 vs 0.48, p = 0.02) were significantly higher in students with symptomatic GERD (mean = 15.29%) than in healthy controls (mean = 9.69%; p = 0.002). However, spirometry parameters including FEV1, FVC, and PERF did not differ between the GERD-positive and control groups. Conclusion Individuals with symptomatic GERD demonstrated a higher peripheral airway resistance compared to controls, whereas no significant difference was observed in upper airway resistance. This could be due to the gastric acid stimulation of vagal nerve terminations in the lower part of the esophageal wall, leading to increased resistance in the peripheral airways through vagally mediated bronchoconstriction.

Fc{gamma}RIIa, encoded by FCGR2A, is a widely expressed Fc receptor implicated in autoimmunity and infectious disease susceptibility. To fine-map the rheumatoid arthritis (RA) association at the complex FCGR locus, we combined gene-specific resequencing, genetic association studies in UK and Spanish European cohorts, functional genomics, structural biology, biophysical analyses, and cellular assays. We identified a common European FCGR2A haplotype (2A.3), defined by Q27W, H131H, and the RA-associated SNP rs12746613, which showed the strongest association with RA. Multi-omics analyses demonstrated that 2A.3 is associated with reduced expression of the soluble FCGR2A splice variant and lower circulating soluble Fc{gamma}RIIa levels. Functional studies revealed altered IgG interactions and delayed Fc{gamma}RIIa signal transduction associated with Q27W, while structural analyses found no evidence for stable ectodomain dimerisation. Together, these findings identify 2A.3 as an important functional contributor to RA susceptibility and provide mechanistic insight into how FCGR2A variation may influence immune regulation and disease risk in Europeans.

Background Treatment of Raynaud phenomenon(RP) with oral vasodilators(calcium channel block-ers and phosphodiesterase type 5 inhibitors) has shown moderate efficacy, may not benefit to all patients, and adverse effects often compromise long-term treatment. In addition, a large placebo effect may jeopardize the assessment of treatment benefits. Pharmaconutritional strategies aiming at increasing nitric oxide bioavailability (beet-root juice and L-citrulline) may be promising alternatives, and we further hypothesized that patient preference for a treatment could be a driver of the response. Methods This study consisted of a series of randomized, double-blind, N-of-1 trials conducted in outpa-tients with primary or secondary RP. Each patient underwent a multiple crossover design with repeated blocks of randomized treatments periods: 2 weeks of placebo, 2 weeks of active treat-ments, and 1 week of washout. Outcomes included the Raynaud Condition Score(RCS), fre-quency and daily duration of attacks. Each patient prespecified its preferred primary outcome, efficacy threshold and preferred treatment, which was used for stratified randomization. Gener-alized linear mixed-effects models were used to determine individual and aggregated efficacy. Results Twenty-one patients completed 2 to 8 treatment blocks. Seventeen patients tested L-citrulline, 17 beetroot juice and 13 both treatments. Ten patients selected RCS as a primary outcome, 6 patients the number of attacks and 5 the duration of attacks. Me-dian threshold for considering treatment efficacy chosen by patients was 50% (min-max 20% to 75%) reduction of symptoms. Using individual criteria to define efficacy neither L-citrulline nor beetroot juice showed significant efficacy compared to baseline. Based on the aggregated data, our results show no significant difference between L-citrulline and the L-citrulline-based placebo, nor between beetroot juice and nitrate-depleted beetroot juice, with the exception of the daily duration of RP attacks with beetroot juice (p=0.002). Finally, there was a marked placebo response, notably when patients received their preferred treatment. Conclusions: Our study did not show significant beetroot juice or L-citrulline efficacy in RP. However, we found that individual preference for one treatment over another maximizes responses to both placebo and active treatments, particularly with regard to the frequency and duration of RP attacks, thus suggesting that a real and modifiable placebo effect exists in RP.

Background To characterize Coronavirus disease 2019 (COVID-19) symptom severity, and recovery from pre-infection through one month, overall and by risk groups. Methods Symptomatic adults aged [&ge;]18 years with test-confirmed COVID-19 were enrolled from ambulatory care clinics within a national U.S. retail pharmacy network between 10/24/2024 and 08/29/2025 (NCT05160636). Adjusted mixed models for repeated measures estimated least-squares mean changes (LSE) and standard errors (SE) from pre-infection and on Days 1-7, 10, 14, and Week 4 from enrollment in composite symptom scores (sum of severity ratings (0-3) across 14 symptoms), counts of mild-to-severe, moderate-to-severe, and severe symptoms, overall and by age and clinical risk status. Effect sizes (ES) were defined as small (0.2-<0.5), medium ([&ge;]0.5), and large ([&ge;]0.8). Results The analysis included 608 adults. On Day 1, symptom severity rose sharply from pre-infection for the composite symptom score (LSE 14.2 [SE 0.3]; ES 2.22), mild-to-severe (7.6 [0.1]; 2.72), moderate-to-severe (5.0 [0.2]; 1.77); and severe (1.8 [0.1]; 0.92) (all p<0.001). By Week 4, composite score (0.7 [0.2]; 0.26), mild-to-severe (0.5 [0.1]; 0.23); moderate-to-severe symptoms (0.1 [0.1]; 0.17) and severe symptoms (0.2 [0.1]; 0.5) remained slightly above baseline (all p[&le;]0.025). Elevated severe symptom durations varied: high-risk adults (through Day 3), adults <50 years (through Day 7), and adults [&ge;]50 years (through Day 7). Conclusions COVID-19 was associated with notable acute symptoms in outpatients, followed by gradual improvement over time, although symptoms still persisted at four weeks. Improvement in severe symptoms varied by individual risk profile, reinforcing the importance risk-based follow-up and ongoing monitoring.

Gasdermins (GSDMs) are a family of pore forming protein that trigger pyroptosis by permeabilizing cell membranes. Pyroptotic cells often release the proinflammatory cytokines interleukin-1{beta} (IL-1{beta}), and IL-18, thereby promoting an inflammatory response. GSDMs are typically cleaved by caspases or granzymes, which enable their translocation to the membrane. Here, we showed GSDMA and GSMDB localize to the cytoskeletal fraction of keratinocytes. Disruption of cell junctions causes gasdermin A and B (GSDMA and GSDMB) to translocate to the membrane fraction in the absence of cleavage. Cell junction disrupted keratinocytes release post-translationally modified keratins, but not IL-1{beta} or IL-18. These events depend on endocytic mechanisms associated with recycling of cell junctional proteins. Our study suggests that cell junction disruption can drive translocation of GSDMA and GSDMB from cytoskeleton to plasma membrane in keratinocytes, however there may be a subsequent trigger that causes the confirmational change allowing these gasdermins to form open pores.

mRNA-based therapeutics have emerged as a transformative class of medicines, yet their translation beyond infectious disease vaccines remains challenged by the absence of an integrated pharmacological framework accounting for the tri-component nature of these therapies - the lipid nanoparticle, the mRNA, and the expressed protein. Here, we present a modular, multiscale computational platform integrating two complementary mechanistic models covering the full pharmacological cascade of mRNA-based immunotherapies. The first is a Quantitative Systems Pharmacology (QSP) model describing the immunological response to mRNA vaccines, from antigen expression in antigen-presenting cells through B cell activation and circulating antibody production. The second is a Physiologically Based Pharmacokinetic (PBPK) model tracking whole-body disposition of mRNA-encoded therapeutic antibodies, incorporating a molecular layer resolving LNP uptake, endosomal mRNA escape, and intracellular translation. Both models are informed by a machine learning pipeline that maps IVT-mRNA nucleotide sequences directly onto kinetic parameters, enabling product-specific model simulations. We propose this platform as a step toward the quantitative pharmacological framework that mRNA therapeutics currently lack, and as a practical tool for model-informed design and development of this therapeutic class.

Idiopathic pulmonary fibrosis (IPF) is a progressive and ultimately fatal lung disease with a median survival of 3-5 years after diagnosis. Current antifibrotic therapies slow disease progression, but do not halt or reverse fibrosis, underscoring the need for new therapies. We identified a dysregulated oxysterol-GPR183 axis as a driver of IPF. Oxidized cholesterols were elevated in lungs from IPF patients, with myofibroblasts representing the dominant source of 7,25-hydroxycholesterol (7,25-OHC), the endogenous high affinity ligand for the oxysterol-sensing receptor GPR183. IPF patients had increased GPR183 expression in interstitial and monocyte-like macrophages compared to controls. In a bleomycin-induced model of pulmonary fibrosis genetic deletion of GPR183 reduced disease severity characterized by reduced fibrosis, inflammation, and accumulation of macrophages and myofibroblasts. Pharmacological inhibition of GPR183 with the antagonist NIBR189 attenuated fibrosis when administered preventatively from day 1-7 after bleomycin exposure. Notably, therapeutic treatment with the GPR183 antagonist after commencement of fibrosis development at day 10 post-bleomycin also significantly reduced fibrotic pathology, achieving efficacy comparable to the approved antifibrotic nintedanib. However, the GPR183 antagonist was more potent in reducing inflammation and myofibroblast activation compared to nintedanib. Together, these findings identify an oxysterol-GPR183 signaling axis that contributes to pulmonary fibrogenesis and provide a strong preclinical rationale for targeting GPR183 as a novel therapeutic strategy for IPF. One Sentence SummaryTargeting GPR183 reduced lung fibrosis and inflammation in a preclinical model, supporting GPR183 as a promising new therapy.

Interactions between intraepithelial lymphocytes (IELs) and the intestinal epithelium are central to mucosal homeostasis and disease. However, mechanistic in vitro studies describing their crosstalk in humans are limited by scarceness of primary material and insufficient knowledge about co-culture requirements. Here, we establish an autologous human duodenal IEL-organoid co-culture system encompassing expandable and bankable IEL and organoid protocols, with co-culture conditions that allow viability of both cell types. This system enables successive interrogation of lympho-epithelial interactions starting from minimal biopsy material. Under baseline conditions, CD45CD8CD103TCR{beta} IELs retain tissue-residency and effector features and induce an epithelial interferon response and chemokine production, without overt epithelial apoptosis. IL-15 and IL-21, essential cytokines involved in IEL-activation in intestinal enteropathies like celiac disease, increases granzyme B expression and interferon-{gamma} secretion but do not trigger epithelial cell death. However, enforcing IEL-epithelial contact using an anti-CD3-anti-Ep-CAM bispecific antibody induces epithelial apoptosis accompanied by increased tumor necrosis factor (TNF) and FAS-ligand (FASLG) secretion. These findings validate the platforms ability to resolve non-destructive and cytotoxic lympho-epithelial interaction and provide a tractable system for studying intestinal inflammation and immune-mediated epithelial cell death.

Epstein-Barr virus (EBV) reprograms B cells in autoimmune disease. Reprogrammed EBV+ B cells activate nearby B and CD4+ T cells, via upregulated antigen presentation and costimulatory machinery, to drive autoimmune pathology. EBV reactivation is a known correlate of long COVID, which is a heterogeneous condition that can bear similarities to autoimmune disease. However, the mechanisms underpinning this association remain unresolved. We report on EBV metabolically reprogrammed B cells in patients with COVID-19. We find EBV+ B cells provide stimulatory signals to bystander B and CD4+ T cells. SARS-CoV-2 infected participants exhibiting elevated fractions of EBV+ B cells present, at convalescence, with dysregulated lipid profiles, increased autoantibody titers, and post-acute symptomology likely reflective of this metabolic reprogramming and cell-cell interactions. Enrichment of our EBV+ B cell signatures seen in patients with COVID-19 is similar in patients with lupus and multiple sclerosis suggesting a potentially shared pathway of EBV-driven dysfunction across diseases.

Gastrointestinal (GI) conditions are common among children with neurodevelopmental disabilities (NDDs), and are associated with functional impairment, behavioral symptoms, and increased health care utilization. A unique relationship between autism and GI dysfunction has been proposed, leading to a focus on autism in GI research, management guidelines, and clinical tool development. Leveraging >20 years of electronic health record data and a cohort of 42,204 cases with attention-deficit/hyperactivity disorder, autism, cerebral palsy, epilepsy, or intellectual disability and 297,402 controls without NDDs, we quantified associations between NDDs and GI conditions in children. GI conditions were more common in cases than controls across all individual NDDs; intellectual disability and cerebral palsy were most strongly associated with having a GI condition. In this work, clinically recognized GI morbidity was elevated across all NDDs and not unique to autism, suggesting that a broader, transdiagnostic approach to GI dysfunction in children with NDDs is warranted.