Genes & Immunity

Red blood cell (RBC) alloimmunization is a clinically significant complication in transfused patients whose immunological determinants remain incompletely understood. Type I interferon (IFN-I) signaling drives RBC alloimmunization in murine models, and systemic lupus erythematosus (SLE) is characterized by constitutive IFN-I hyperactivation alongside elevated alloimmunization rates. We analyzed three publicly available SLE RNA-seq cohorts (GSE72509, GSE112087, GSE122459; whole blood and PBMC; total n = 150 SLE) in a pre-specified discovery-replication-validation design. A 14-gene IFN-I signature score was computed per sample; differential expression, gene set enrichment analysis, and Spearman correlation were performed independently per cohort. IFN-I scores were significantly elevated in SLE versus healthy controls in all three cohorts (p < 0.01 each). IFN-high SLE patients showed 665 differentially expressed genes, with enrichment of alloimmunization-associated and plasmablast differentiation gene sets confirmed by GSEA. The alloimmunization signature score correlated significantly with IFN-I score across all three independent cohorts ({rho} = +0.77, +0.51, +0.60; all FDR q < 0.05); Tfh differentiation showed no association in any cohort. To our knowledge, this represents the first human transcriptomic evidence that IFN-I pathway activity in SLE is coupled to alloimmunization-associated immune programs in vivo. These findings identify IFN-I score as a candidate biomarker of alloimmunization susceptibility in SLE and provide translational rationale for prospective studies incorporating transfusion outcome data.

Background: Human papillomaviruses (HPVs) pose a severe threat to global public health by driving nonmelanoma skin cancer (NMSC) and cervical cancer, with NMSC being one of the most common cancers worldwide. Epidermodysplasia verruciformis (EV) is an inborn error of immunity characterized by an increased susceptibility to persistent infection of cutaneous HPV and a high risk of NMSC. The genetic basis remains unknown in many patients with EV. Methods: We collected four unrelated pedigrees with EV. Genetic analysis identified five variants in JAK1 encoding the Janus kinase 1. Ex vivo models and patient-derived tissue were employed to evaluate the functional effects of JAK1 variants and delineate the pathogenic mechanisms. Results: We identified different variants in JAK1 in four pedigrees with dominant EV. Genetic analysis revealed five novel variants in JAK1, three of which resulted in nonsense-mediated mRNA decay (NMD). Functional assays identified a decreased phosphorylation of the signal transducers and activators of transcription (STATs), impaired interferon responses, and defective T cell activation. Immune dysregulation in patients, characterized by a reduced CD4/CD8 T cell ratio, decreased CD8 naive T cell proportion, and accumulated memory T cells, implies impaired antiviral immunity against HPV. Conclusions: Our findings confirm that JAK1 loss-of-function (LOF) variants underlie susceptibility to cutaneous HPV infection. [Funded by the National Natural Science Foundation of China (81788101, 81230015, 82394420, and 82394423), the National Key Research and Development Program of China (2022YFC2703900), the CAMS Innovation Fund for Medical Sciences (2021-I2M-1-018), and the Regione Lombardia, Italy (Innovative Research Project 1137-2010)].

T cell development in the thymus is a tightly regulated process where epigenetic modifications, such as histone 3 lysine 27 acetylation (H3K27ac), play a crucial role in controlling the activation of genes. The epigenetic regulation of human mucosal-associated invariant T (MAIT) cell development is unknown; we mapped the regulatory chromatin landscape in the three developmental stages of thymic MAIT cells to identify the regulatory elements and enhancer activity involved in thymic maturation and analysed whether these chromatin dynamics are associated with the acquisition of effector programs in developing MAIT cells. Utilising cleavage under target and tagmentation (CUT&Tag), genome-wide H3K27ac profiles were generated and combined with transcriptome data from thymic MAIT cells, which revealed how developmental shifts in enhancer activity correspond to changes in gene expression. In total, 41,958 genomic regions with H3K27ac signal were identified in MAIT cells across the three development stages, of which 1,200 regions showed acetylation changes during differentiation from stage 1 to stage 3. At dynamic regions, the greatest differences were observed between stage 1 and stage 3, highlighting a progressive gain or loss of H3K27ac during MAIT cell development. Overall, MAIT cell maturation was associated with the gradual accumulation of H3K27ac at promoters and enhancers, which closely correlated with gene expression changes during development. Stage-specific enrichment of H3K27ac was observed at key transcription factor gene loci involved in MAIT cell development, including ZBTB16 (PLZF), EOMES, RUNX3, NFATC2, FOXO1, TGIF1, IRF1, and MAF genes. Epigenetic remodelling was also observed at cytokine and cytokine receptors (IL7R, IL18R1, IL23R, IFNG), chemokines and chemokine receptors (CCL4, CCL5, CCR5, CCR9, CXCR4, CXCR6), as well as several surface molecules with known immunological function. Our work reveals a previously uncharacterised epigenetic profile of human MAIT cells that regulates and inuences their development.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID are complex chronic conditions that often follow infectious triggers with overlapping clinical features but poorly defined pathophysiological relationships. This study aimed to identify disease-specific immune signatures through multiparameter immunophenotyping of monocytes, dendritic cells, and T-cell subsets. A total of 207 participants were included (ME/CFS: n = 103; long COVID: n = 63; healthy controls: n = 41). Peripheral blood mononuclear cells were analyzed using multiparameter flow cytometry. Statistical analyses included non-parametric testing, age-adjusted ANCOVA, correlation network analysis, and principal component analysis (PCA). Long COVID was characterized by increased M2-like monocyte polarization, elevated CD80 expression across monocyte subsets, expansion of dendritic cells, and reduced expression of activation markers, indicating persistent immune activation with features of immune exhaustion. In contrast, ME/CFS exhibited reduced costimulatory molecule expression, impaired CCR7-mediated immune cell trafficking, and less coordinated activation patterns, consistent with a state of immune suppression. Correlation network analysis revealed more extensive and integrated immune interactions in long COVID, while PCA identified distinct immunophenotypic components and enabled moderate discrimination between the two conditions. These findings demonstrate that ME/CFS and long COVID are characterized by distinct immune profiles, supporting the concept of divergent immunopathological mechanisms. The identified signatures may contribute to biomarker development and guide targeted therapeutic approaches.

ObjectivesCD4+ T cells play key roles in regulating immune responses during pregnancy, therefore we aimed to understand the CD4+ T cell surface proteome and transcriptome during pregnancy. MethodsCD4+ T cells were analysed in blood and decidua from term-pregnancies (>37 weeks), and non-pregnant blood. >350 surface proteins were screened via flow cytometry, and transcriptomes were analysed using single-cell RNA sequencing with >130 CITE-seq barcoded antibodies. ResultsSurface protein screening identified changes to ILT4/CD85d, CD9, IFN-{gamma} receptor {beta}-chain, CX3CR1 and CCR5 in the pregnant blood and decidual CD4+ T cells. CX3CR1 and CCR5 had the highest expression on the effector-memory T cell (TEM) subset in the blood, with expression consistent across subsets in decidua. CD126/IL-6R was lower in pregnant blood and decidual CD4+ T cells, while scRNAseq identified enrichment in the IL-6R signalling pathway in naive CD4+ T cells in pregnant blood. Both sIL-6R and IL-6 concentrations were increased in plasma during pregnancy, suggesting perturbations to the IL-6/IL-6R signalling axis. Meanwhile, decidual CD4+ T cells had increased expression of transcription factor RUNX3 in the CD69+ tissue-resident-like subset. ConclusionsOur findings demonstrate altered molecular expression in CD4+ T cells during pregnancy. This provides important mechanistic insight of their adaptation and regulation during placental development, which may drive placental dysfunction or pregnancy complications including preeclampsia, fetal growth restriction and stillbirth. These new data may inform future studies that focus on determining the significance of differentially- expressed immune features in pregnancy to identify potential targets for immune modulation to treat pregnancy complications and infections.

Background: Accurate preoperative prediction of lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) remains challenging, particularly in clinically node-negative (cN0) patients, leading to potential overtreatment. We aimed to develop and validate a Transformer-based 2.5D deep learning model (ThyLNT) using preoperative computed tomography (CT) images for robust prediction of LNM and to explore its underlying biological basis through multi-omics analyses. Methods: A total of 1,560 PTC patients from six hospitals were retrospectively included. The Tongji Hospital cohort (n=1,010) was divided into training (70%) and internal validation (30%) sets, while five independent institutions served as external test cohorts. For each lesion, seven 2.5D slices were extracted and modeled using a DenseNet201 backbone. Slice-level features were integrated using a Transformer-based feature-level fusion strategy and compared with ensemble learning, multi-instance learning (MIL), and traditional radiomics approaches. Model performance was assessed using area under the receiver operating characteristic curve (AUC), calibration analysis, decision curve analysis (DCA), and precision-recall curves. Multi-omics analyses, including bulk RNA-seq, single-cell RNA-seq, spatial transcriptomics, and spatial metabolomics, were performed to investigate biological correlates. Results: The Transformer-based model consistently outperformed comparator models across cohorts. In the training and validation cohorts, ThyLNT achieved AUCs of 0.882 and 0.787, respectively, with external AUCs ranging from 0.772 to 0.827. Compared with ultrasound (US) and CT, ThyLNT showed superior predictive performance (all P < 0.001 in the validation cohort). Simulation analysis in cN0 patients suggested that ThyLNT could reduce unnecessary lymph node dissection (LND) from 52.16% to 4.88%. Transcriptomic analysis combined with WGCNA and correlation analysis identified VEGFA as the gene most strongly associated with ThyLNT prediction scores. Single-cell and spatial transcriptomic analyses suggested metastasis-related tumor microenvironment remodeling, while enrichment analysis of genes affected by virtual knockout of VEGFA indicated involvement of angiogenesis- and epithelial-mesenchymal transition (EMT)-related pathways. Spatial metabolomics further revealed coordinated lipid metabolic reprogramming in metastatic tissues. These findings suggest that ThyLNT provides robust predictive performance while capturing biologically relevant features associated with metastatic progression.

BackgroundInterferon-gamma (IFN-{gamma}) is the primary effector cytokine of adaptive anti-tumor immunity, yet it paradoxically induces a potent immunosuppressive tumor microenvironment (TME). The full mechanistic scope of this paradox in head and neck squamous cell carcinoma (HNSC) has not been characterized at the transcriptomic scale. MethodsUsing TCGA HNSC RNA-seq data (n = 522), we applied an integrated computational pipeline: Spearman correlation analysis, principal component analysis (PCA), UMAP, K-means clustering (k = 4), Random Forest regression, deep neural networks, permutation importance, JAK-STAT cascade mapping, and DNN-based transcriptome-wide mediation analysis across 57 IFN-{gamma} pathway and 78 immunosuppressive genes. ResultsIFN-{gamma} pathway activity was universally and positively correlated with six immunosuppressive axes, including checkpoints (CD274; LAG3; IDO1), Tregs, myeloid suppression, and tryptophan catabolism. K-means clustering identified four immunologically distinct tumor subgroups. DNN models predicted suppressive TME. Permutation importance identified IRF8 as the dominant mediator linking IFN-{gamma} signaling to immunosuppression. DNN mediation analysis identified PDCD1LG2 (PD-L2) as the strongest intermediary between IFNG and PD-L1 regulation, followed by JAK2 and GBP5. ConclusionsIFN-{gamma} orchestrates coordinated immunosuppression in HNSC through JAK-STAT-IRF8 signaling. PDCD1LG2 and JAK2 are actionable mediators of this paradox, supporting combination strategies co-targeting IFN-{gamma}-induced checkpoint induction and direct checkpoint blockade in HNSC immunotherapy. GRAPHICAL ABSTRACT

Unbiased classification of equine dendritic cells (DC) is necessary to address various research questions such as the role of DC subsets in immune-mediated diseases of horses. We applied single-cell RNA sequencing (scRNA-seq) on DC enriched from the blood of two horses. All main DC subsets were detected by key gene expression, including conventional DC type 1 (cDC1; XCR1) and type 2 (cDC2; FCER1A, CD1E) as well as plasmacytoid DC (pDC; TCF4). In addition, we detected a small cluster of hematopoietic progenitors, as well as transitional DC (tDC; FCER1A, TCF4) and putative DC type 3 (DC3; FLT3, CD163). Our data confirms the previously reported phenotype of equine pDC (Flt3+MHC-IIlowCADM1lowCD172aint), cDC1 (Flt3+MHC-IIhighCADM1highCD172alow-int) and cDC2 (Flt3+MHC-IIhighCADM1intCD172ahigh), while also highlighting considerable CD14 expression for cDC2. Two subclusters of equine cDC2 were found to be enriched in FCER1A or CX3CR1 transcripts (cDC2.1 and cDC2.2, respectively), with suggested enhanced extravasation and T-cell stimulatory capacities of the latter. Conservation of DC subsets across species (horse, pig, human, mouse) was illustrated by enrichment analyses with subset-specific gene signatures and by cross-species data integration with publicly available scRNA-seq datasets. Our atlas of equine blood DC is a valuable resource for comparative analyses, and it forms the foundation for understanding the involvement of distinct DC subsets in infections and immune-mediated pathologies.

The human neonatal immune system is developmentally specialized to balance the unique requirements of perinatal transition. Disruption of this finely tuned balance, as in preterm birth, may have profound consequences for immunity and overall health. However, the impact of prematurity on immune composition and functional responsiveness across gestational ages (GA) remains incompletely understood. Single-cell profiling has advanced our understanding of neonatal immunity, yet most studies were limited to unimodal readouts, narrow GA windows, or baseline function. Here, we present a comprehensive human neonatal CITE-seq atlas (82 samples from 25 neonates and 10 adults as controls) at the first days of life covering a wide GA range and integrating baseline and stimulated conditions. Most notably, we identify a GA-dependent immune transition point centered around 32 weeks of GA, which discriminates extremely and very preterm neonates (GA <32wks) from those of higher GA ([&ge;]32wks). In particular, early-life immunity in extremely and very preterm infants showed CD15+ granulocytic myeloid derived suppressor cell-like predominance, whereas more mature neonates exhibited interferon-primed transcriptional profiles. This resulted in divergent myeloid-to-lymphocyte signaling networks and qualitatively distinct NK- and T-cell bystander responses upon activation. Together, these findings show that intrauterine development imprints GA-specific immune programs. By defining a developmental transition around a GA of 32 weeks that regulates baseline and induced responses of neonatal immune cells, our atlas provides a framework for understanding the vulnerability of preterm infants and thus may pave the way for developing GA-adapted immunomodulatory strategies. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=104 SRC="FIGDIR/small/715643v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@1db4534org.highwire.dtl.DTLVardef@9c9665org.highwire.dtl.DTLVardef@55f063org.highwire.dtl.DTLVardef@190a52_HPS_FORMAT_FIGEXP M_FIG C_FIG

To understand the molecular and cellular mechanisms beyond B-cell depletion with the anti-CD20 monoclonal antibody ocrelizumab, we used comprehensive muti-modal flow cytometry and functional assays in a prospective longitudinal multiple sclerosis (MS) cohort. Ocrelizumab depleted the vast majority of B cells and showed selective effects on different B cells subsets. Analysis of residual/replenished B cells revealed relative enrichment of regulatory B cells like CD27+CD43+ B1 and CD24hiCD38hi transitional B cells, and reduction of CD27+ memory B cell subsets and CD19+IgD+CD27-naive B cells at early time points (1-3 month) and before subsequent infusions at 4-7 months, 11-14 months, and >18 months. CD20+ T cells and peripheral helper T-cells (Tph) were also reduced. RNA sequencing analysis showed B1 cells have significantly higher expression of LGALS1, KCNN4, ITGB1, and IL2RB. Compared to transitional B cells, B1 cells also displayed significantly higher expression of tissue homing molecules ITGAX (CD11c), S100A4, ITGB1, and CXCR3. IL10 signaling pathway is increased in these B cells. Ex vivo B cell functional assays indicated the residual/replenishing B cells were anergic following ocrelizumab, with increased IL10/TNF and IL10/IL6 ratios under BCR stimulation. Ocrelizumab treatment may create a self-reinforcing regulatory circuit: the reduction of Tph cells could alleviate suppression of regulatory B cells, which subsequently expand and further promote regulatory T cell networks via IL2RB, LGALS1, and an increased IL-10 signaling pathway.

Anemia is one of the most debilitating and frequent complications of inflammatory bowel diseases (IBD) and is often treated with iron supplementation, which has limited efficacy. Damaged intestinal barrier function is a hallmark of IBD and causes the translocation of endotoxins from gut bacteria into the bloodstream. In a previous study in mice, we reported that endotoxin suppresses erythropoiesis by reprogramming erythroblastic island macrophages (EBI M{varphi}). Here, we show that IBD patients and mice with acute colitis developed endotoxemia associated with anemia. Endotoxemia in IBD patients was negatively correlated with blood erythrocyte counts. In line with this, mice with acute colitis caused by drinking water containing dextrin sodium sulphate (DSS) had endotoxemia together with anemia characterized by reduced red blood cell counts, hemoglobin content and hematocrit., and reduced medullary erythropoiesis which was in part compensated by increased extramedullary erythropoiesis. As the endotoxin receptor TLR4 is expressed by CD169+ gut-resident macrophages and erythroid island macrophages in the bone marrow, we tested the hypothesis that TLR4 expressed by these CD169+ macrophages mediate both inflammatory colitis and anemia. Indeed, mice with conditional deletion of the Tlr4 gene specifically in CD169+ tissue-resident macrophages were protected from DSS-induced anemia and colitis. In addition, treatment of DSS mice with the TLR4 inhibitor C34 abated inflammation and anemia. These results suggest that endotoxins leaking from the inflamed gut may play a crucial role in IBD and associated anemia and that drugs targeting TLR4 may protect against IBD-associated anemia. Key pointsO_LIPatients with IBD and mice with acute colitis are anemic with increased endotoxemia and inflammation. C_LIO_LIEndotoxemia is inversely correlated with blood erythrocyte counts in IBD patients. C_LIO_LIConditional deletion of endotoxin receptor gene Tlr4 specifically in CD169+ tissue-resident macrophages or administration of synthetic TLR4 inhibitor significantly reduced colitis-induced anemia in mice. C_LI

Multiple sclerosis (MS) is a chronic autoimmune demyelinating disease of the central nervous system with a complex etiology. Recent genomic studies highlight the contribution of expression quantitative trait loci (eQTLs) in modulating gene expression and disease susceptibility. Given the emerging role of circular RNAs (circRNAs) in MS, we hypothesized that genetic variants may regulate circRNA expression through circRNA-specific eQTLs (circ-eQTLs). We performed a cis-circ-eQTL analysis integrating circRNA expression and whole-genome genotyping data from 30 MS patients and 18 healthy controls using a linear regression model adjusted for disease status and sex. Candidate circ-eQTLs were prioritized based on MS-associated regions and known splicing QTLs (sQTLs) from GTEx and validated in an independent cohort (67 MS, 64 controls). Association analysis in a larger cohort (2831 MS, 3191 controls) evaluated two candidate variants for MS risk. We identified 42,077 significant cis-circ-eQTLs and validated three. Two SNPs, rs7214410 and rs11079784, modulated hsa_circ_0106983 expression, and rs7214410 also acted as an sQTL affecting EFCAB13 splicing. rs7214410 showed stronger association with MS than rs11079784. Our findings reveal extensive genetic regulation of circRNA expression and highlight rs7214410 as a dual-function variant refining the MS susceptibility locus on chromosome 17.

Middle Eastern and North African populations remain underrepresented in genomic databases, comprising less than 1% of genome-wide association study participants despite representing approximately 6% of the global population. Here we present the Egypt Genome Project (EGP1K), in which we performed whole-genome sequencing on 1,024 unrelated Egyptian individuals originating from 21 of Egypts 27 governorates, recruited through eight clinical and research centers across Upper and Lower Egypt. We identified over 51.3 million variants, of which 17.1 million (33.4%) were absent from dbSNP. Allele frequency comparisons across 6.5 million shared variants showed the strongest concordance with Middle Eastern populations ({tau} = 0.977). Principal component analysis and ADMIXTURE modeling at K = 7 revealed that Egyptians share a dominant ancestry component (71.8%) with Middle Eastern populations and carry a smaller Egyptian-enriched component (18.5%) that distinguishes them from neighboring groups. Runs of homozygosity varied substantially across subregions, with Upper Egypt showing the highest burden, paralleling elevated consanguinity rates. Carrier frequency analysis identified MEFV (Familial Mediterranean Fever) at 9.1% as the most prevalent pathogenic carrier state; when adjusted for the national consanguinity rate, MEFV carrier status alone projects approximately 6,600 affected births per year. HLA class I typing identified allele frequencies placing Egyptians within the Levantine-Eastern Mediterranean cluster, providing baseline immunogenetic data currently absent from international databases. Analysis of polygenic risk score distributions revealed substantial differences in threshold-based risk stratification between Egyptians and European reference populations. When the Europeanderived 90th percentile threshold was applied, 83.3% of Egyptians were assigned to high-risk strata for stroke, 76.4% for chronic kidney disease, and 72.8% for gout, compared to the intended 10% high-risk proportion. These distributional shifts were observed across several cardiometabolic traits (Cohens d = 1.55-1.61), while other traits showed closer cross-population concordance, indicating that the degree of threshold miscalibration varies by trait. Together, these findings establish EGP1K as a genomic reference for Egypt and indicate that European-derived risk stratification thresholds may not be directly transferable to the Egyptian population, supporting the need for population-specific calibration of polygenic risk scores.

ELF4 is an ETS family transcription factor involved in immune regulation, and germline loss-of-function mutations in ELF4 have been known as deficiency in ELF4, X-linked (DEX). To date, ELF4-related disease has been exclusively associated with germline mutations. Here, we report a pediatric patient with recurrent mucocutaneous inflammation and periodic fever caused by a somatic truncating mutation in ELF4. By directly comparing ELF4-mutant and wild-type immune cells within the same individual using full-length single-cell RNA sequencing, we identified mutation-associated transcriptional alterations across multiple immune cell types. Pathway analyses revealed cell type-specific immune alterations, characterized by reduced antiviral and interferon-related signaling in NK cells and enhanced inflammatory pathways related to Th17 differentiation and inflammatory bowel disease in CD16 monocytes. This study expands the disease spectrum of ELF4 deficiency by identifying somatic truncation of ELF4 as a genetic mechanism underlying autoinflammatory diseases and biased immune programs.

Introduction: COVID-19 transmission has not been evenly distributed across racial groups, with exposure being shaped by social and structural factors. The emergence of highly transmissible variants (i.e., Omicron) dramatically increased infection rates. However, it remains unclear whether racial disparities in transmission disappeared or persisted over the course of the pandemic. Objective: To understand how SARS-CoV-2 transmission differed by race in Canada and whether those disparities changed with the Omicron variant. Methods: We analyzed cross-sectional SARS-CoV-2 seroprevalence data from the Canadian Blood Services serosurveillance program (June 2020 to April 2023) using a previously described dynamic susceptible-infection model, while accounting for seroreversion. Race-specific force of infection was estimated for the pre-Omicron and Omicron periods (with the emergence of Omicron defined as beginning December 26, 2021). Results: Prior to Omicron, racialized individuals had a 74% higher force of infection (IRR = 2.205; 95% CI: 2.115-2.299). During the Omicron period, infection rates rose significantly within each racial group relative to the pre-Omicron period, with a 55.52-fold increase among White individuals and a 31.27-fold increase among racialized individuals. Despite this, racialized individuals remained disproportionately affected following the emergence of Omicron, with 24% higher infection rates than those of their White counterparts (IRR = 1.242; 95% CI: 1.231-1.253). Conclusion: Widespread transmission during Omicron did not result in epidemiologic equity, as racialized populations continued to experience higher infection risk despite crude seroprevalence depicting convergence.

The establishment of mixed hematopoietic chimerism is a promising way to induce immune tolerance for islet replacement therapy and to treat the underlying autoimmunity in Type 1 diabetes (T1D). Mixed chimerism not only promotes effective thymic negative selection of autoreactive cells but also restores regulatory T cell (Treg) function and peripheral tolerance. In the current study, we determined that a novel class of donor-derived CD8+CD44+CD122+ Tregs (d-CD8+CD122+ Tregs) plays a crucial role in controlling autoimmunity in non-obese diabetic (NOD) mice with induced mixed chimerism. Using adoptive T cell transfer experiments, we showed that d-CD8+CD122+ Tregs abrogate autoimmunity by selectively depleting the exogenously injected diabetogenic T cells in Recombination-Activating Gene deficient NOD mice. These d-CD8+CD122+ Tregs from NOD chimeras show upregulation of Helios, Programmed cell death protein 1, perforin, granzyme-B, CD39, Folate receptor 4, and downregulation of proinflammatory markers like Scart1 and Scart2. Using in vitro assays, we show that d-CD8+CD122+ Tregs respond specifically to a Complementarity-Determining Region-3 peptide sequence derived from T cell receptors of islet antigen-specific autoreactive T cells. Thus, mixed chimerism might be a method to revitalize CD8+CD122+ Tregs which are decreased in number and functionality in NOD mice. Similarly, we found that individuals with T1D have a deficiency in CD8+CD122+ Tregs, suggesting a potential loss of regulatory function accompanies disease onset. Revitalizing CD8+CD122+ Tregs may offer a new therapeutic strategy of restoring immune tolerance in autoimmune diabetes. One sentence summary Inducing mixed donor chimerism in NOD mice generates donor-derived CD8+CD122+ Tregs that suppress autoimmunity and restore immune tolerance by selectively eliminating autoreactive T cells.

Disease-modifying therapies (DMTs) for relapsing-remitting multiple sclerosis (RRMS) act through distinct immunological mechanisms, yet the within-patient molecular response programs associated with these therapies remain incompletely defined. Here, we reanalyzed publicly available PBMC miRNA microarray data (GSE230064) using a longitudinal, robustness-focused framework to compare therapy-associated miRNA response patterns following cladribine versus ocrelizumab treatment. Baseline (t0) and 6-month post-treatment (t1) samples were paired within individuals and technical replicates consolidated prior to analysis, yielding a final paired cohort of 4 cladribine-treated and 6 ocrelizumab-treated patients. Within each treatment arm, we quantified per-patient {Delta}-miRNA (t1-t0) values and prioritized therapy-associated response features using a multi-evidence framework integrating effect direction, magnitude, directional consistency across individuals, and leave-one-out sensitivity. Cladribine treatment was associated with a highly coordinated, directionally concordant upregulation of five miRNAs including hsa-miR-27a-3p, hsa-miR-27b-3p, hsa-miR-503-5p, hsa-miR-148a-3p, and hsa-miR-26a-5p, all exhibiting 100% directional stability across patients and mean {Delta}-expression values ranging from +0.77 to +1.38. These miRNAs target pathways relevant to MS pathophysiology, including Th17/Treg balance, Wnt-{beta}-catenin signaling, macrophage polarization, and epigenetic immune regulation. In contrast, ocrelizumab elicited a more selective response pattern, with five miRNAs including hsa-miR-100-5p, hsa-miR-410-3p, hsa-miR-432-5p, hsa-miR-296-5p, and hsa-miR-485-3p showing moderate directional stability (83%) and greater inter-individual heterogeneity, consistent with the more targeted mechanism of CD20+ B-cell depletion. Notably, the two treatment-associated signatures were non-overlapping, with hsa-miR-27b-3p representing the only miRNA shared with prior cross-sectional analyses of this dataset. The identified ocrelizumab-associated miRNAs implicate pathways including mTOR/IGF1R signaling, NF-{kappa}B regulation, RNA editing, and mitochondrial biogenesis, several of which are dysregulated in progressive MS. Together, these findings demonstrate that cladribine and ocrelizumab induce distinct, treatment-specific miRNA response architectures that reflect their divergent immunological mechanisms. This work establishes a stability-aware analytic template for extracting reproducible longitudinal miRNA signals from small paired RRMS cohorts and provides a ranked set of biologically plausible candidate miRNAs for prospective validation and mechanistic investigation.

There are few therapeutic options to treat patients with sickle cell disease (SCD), a blood disorder caused by mutations in the {beta}-globin gene that affects >7M individuals worldwide. Combining human genetics and high-throughput proteomics can help identify new drug targets. Here, we present results from a proteogenomic analysis of the plasma proteome in SCD patients. We measured the levels of 5,411 plasma proteins and tested their associations with common genetic variation in 343 SCD patients. After conditional analyses, we identified 560 protein quantitative trait loci (pQTL), including 58 (10%) that are novel. Many of these pQTL are not specific to SCD patients and associate with clinically relevant traits in non-SCD African Americans from the Million Veteran Program (e.g. hemoglobin concentration, triglycerides). The effect sizes of the pQTL is largely concordant between SCD and non-SCD individuals, although we found examples (e.g. APOL1, haptoglobin) with evidence of heterogeneity that suggests an interaction between the plasma proteome and the SCD genotype. Finally, we combine pQTL and genome-wide association study results for fetal hemoglobin (HbF) in a Mendelian randomization analysis to prioritize five proteins that may increase HbF production (ENPP5, LBP, NAAA, PT3X, ZP3).

Natural killer (NK) cells are critical innate immune effectors in antiviral and antitumour responses. However, the factors governing NK cell development and function remain incompletely understood. To address this, we adopted an in vivo screening approach, generating a panel of mice deficient in genes differentially expressed across NK cell maturation stages or following viral infection. We performed a combinational screen comprising baseline immunophenotyping and mouse cytomegalovirus (MCMV) challenge. We identified novel regulators of NK cell development, including transcriptional regulators and proteins with putative trafficking functions. MCMV challenge studies additionally identified proteins that impacted antiviral immunity independently of NK cell phenotypes, including a novel regulator of NK cell degranulation, Synaptotagmin-like protein 3. Identified genes exhibited reduced tolerance to loss-of-function in large scale human sequencing studies and evidence for reduced NK cell numbers in a cohort of immunodeficiency patients. Together, these findings provide a resource of NK-expressed genes important for NK cell maturation and function, with relevance to human health. SummaryPring et al. conduct an in vivo screen in mice identifying novel regulators of natural killer (NK) cell development and/or antiviral functionality. Large-scale human sequencing and human immunodeficiency patients revealed evidence for the relevance of identified genes in human health.

The variable regions of antibody heavy chains (HCs) and light chains (LCs) are assembled by V(D)J recombination in progenitor B cells to generate an immense repertoire of primary B cell receptors (BCRs), the precursors of affinity-matured antibodies secreted in response to antigen stimulation. The complementarity determining region (CDR) 1, 2 and 3 of antibodies are the principal antigen contact sites, with CDR3 being highly diverse due to V(D)J junctional diversification by terminal deoxynucleotidyl transferase (TdT). The HC CDR3 (CDR H3) plays a prominent role in broadly neutralizing antibodies (bnAbs) against the human immunodeficiency virus-1 (HIV-1). BnAbs overcome the genetic heterogeneity of HIV-1 by recognizing conserved epitopes on the HIV-1 Envelope (Env) protein. Reaching these targets requires long CDR H3s that penetrate through the glycan shield or other structural hindrances on the Env protein. The shortage of human antibodies with such long CDR H3s poses a challenge for bnAb elicitation by vaccination. To aid immunogen design, we generated six mouse models for inducing bnAbs against particular HIV-1 Env epitopes. In each mouse model, we integrated the human HC VH, D, JH segments and LC VL, JL segments of a bnAb lineage into the mouse HC and LC loci, with each set engineered to undergo V(D)J recombination and to generate diverse human HC and LC variable regions. Combined action of V(D)J recombination and TdT- mediated junctional diversification in developing B cells generated a range of human variable region exons for a given bnAb lineage that contained highly diverse CDR3s in each mouse model. Moreover, these repertoires contained humanized antibodies that had bnAb-like long CDR H3s that could potentially serve as bnAb precursors. Therefore, these mouse models can be used to test whether immunogens can induce bnAbs from rare and diverse precursors in a complex antibody repertoire. Author summaryThe human immunodeficiency virus-1 (HIV-1) is the causative agent of acquired immunodeficiency syndrome (AIDS). An efficacious HIV-1 vaccine is needed to control the AIDS pandemic. However, in multiple clinical trials, vaccine candidates failed to confer protection against HIV-1 infection. The lack of efficacy is mainly due to the enormous heterogeneity of HIV-1 strains in human circulation. A breakthrough in the field has been the identification of broadly neutralizing antibodies (bnAbs) in a small fraction of HIV-1 infected patients. Because these antibodies recognize conserved targets on different HIV-1 strains, they can inhibit a wide spectrum of viruses. Eliciting HIV-1 bnAbs is a top priority for vaccine development. For this endeavor, a major difficulty is that most bnAbs have unusual properties. To induce bnAbs, vaccines must be highly selective for rare human antibodies that can develop into bnAbs. To facilitate this effort, we have generated a panel of mouse models that can produce potential precursors for major types of HIV-1 bnAbs. We engineered mouse models to produce diverse precursors in complex antibody repertoires, which mimic the challenging condition in human vaccination. These mouse models can be used to assess and optimize vaccine candidates at the preclinical stage.