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Lytic IFNγ is stored in granzyme B-containing cytotoxic granules and co-secreted by effector CD8⁺ T cells

Cytotoxic CD8 T cells form immunological synapses with target cells and release effector molecules, including IFN{gamma}, to mediate antitumor immunity. However, the mechanisms by which IFN{gamma} contributes to cytotoxicity remain incompletely understood. Here, we identify a subset of IFN{gamma} stored within GzmB cytotoxic granules (CGs) in activated mouse and human CD8 T cells, termed lytic IFN{gamma}. Lytic IFN{gamma} is polarized to the synapse and co-secreted with GzmB in both soluble and supramolecular attack particle (SMAP)-associated forms. Mouse CD8 T cells lacking the vesicle priming factor Munc13-4 exhibit impaired both CG and early IFN{gamma} release at the immunological synapse, while prolonged synaptic engagement restores IFN{gamma} secretion. Super-resolution imaging demonstrates that sustained synaptic interactions drive IFN{gamma} secretion at distal membrane sites, suggesting the existence of distinct IFN{gamma} populations with potentially diverse functions beyond lytic IFN{gamma}. These findings uncover an unrecognized mechanism of IFN{gamma} storage and release, underscoring its pivotal role in CD8 T cell-mediated tumor elimination.

immunology↗

Machine Learning Reveals Distinct Immunogenic Signatures of Th1 Imprinting in ART-Treated Individuals with HIV Following Repeated SARS-CoV-2 Vaccination

The human immune system is intrinsically variable and remarkably diverse across a population. The immune response to antigens is driven by a complex interplay of time-dependent interdependencies across components of the immune system. After repeated vaccination, the humoral and cellular arms of the immune response display highly heterogeneous dynamics, further complicating the attribution of a phenotypic outcome to specific immune system components. We employ a random forest (RF) approach to classify informative differences in immunogenicity between older people living with HIV (PLWH) on ART and an age-matched control group who received up to five SARS-CoV-2 vaccinations over 104 weeks. RFs identify immunological variables of importance, interpreted as evidence for Th1 imprinting, and suggest novel distinguishing immune features, such as saliva-based antibody screening, as promising diagnostic features towards classifying responses (whereas serum IgG is not). Additionally, we implement supervised and unsupervised Machine Learning methods to produce physiologically accurate synthetic datasets that conform to the statistical distribution of the original immunological data, thus enabling further data-driven hypothesis testing and model validation. Our results highlight the effectiveness of RFs in utilizing informative immune feature interdependencies for classification tasks and suggests broad impacts of ML applications for personalized vaccination strategies among high-risk populations.

immunology↗

THE UNCHARTED ROLE OF ERAP2 IN AGING: A BIOINFORMATICS PERSPECTIVE

BackgroundAging is associated with significant changes in the immune system, leading to increased susceptibility to infections, reduced vaccine efficacy, and a higher risk of autoimmune diseases. However, the molecular mechanisms driving these immunological alterations remain incompletely understood. In this study, we performed differential gene expression analysis (DGEA) to identify genes implicated in immune aging and explored their functional significance through enrichment analysis. MethodsUsing publicly available transcriptomic data from aged versus young individuals, we conducted DGEA to identify significantly dysregulated genes. Functional enrichment analyses, including Gene Ontology (GO) and Reactome pathway analysis, were performed to uncover biological processes and pathways enriched in the differentially expressed genes. We specifically focused on ERAP2, a gene found to be differentially expressed in aging, and examined its expression across various tissues. Additionally, we reviewed existing literature to assess ERAP2s role in antigen presentation and immune regulation. ResultsOur analysis revealed significant enrichment of pathways related to antigen processing and presentation, peptide metabolism, and immune system regulation. ERAP2, an aminopeptidase involved in trimming peptides for MHC class I presentation, was highly associated with these processes. Interestingly, no direct KEGG pathway annotation was found for ERAP2, suggesting a potential gap in functional characterization. However, Reactome analysis confirmed its involvement in class I MHC-mediated antigen processing and immune system pathways, aligning with its known immunological role. The expression analysis across multiple tissues showed ERAP2 to be widely expressed in immune-related tissues, further supporting its relevance. ConclusionOur findings highlight the potentially underexplored role of ERAP2 in immune aging. The lack of KEGG pathway annotation suggests that its function in aging and immune modulation may not be fully characterized, presenting an opportunity for further research. Given its role in antigen presentation, ERAP2 may represent a critical factor in the declining immune function observed in aging individuals. Further experimental validation is required to establish its mechanistic involvement and potential as a therapeutic target for age-related immune dysfunction.

immunology↗

Immune Composition of the Mononuclear Cell Fraction of Human Umbilical Cord Blood

Despite its therapeutic potential and unique immunological properties, the immune composition of umbilical cord blood lacks consistent and comprehensive characterizations. Human umbilical cord blood (UCB) is often discarded after delivery and is difficult to obtain for research purposes. Furthermore, most research on UCB is focused on properties of CD34+ hematopoietic stem cells for transplantation. The Binns Program for Cord Blood Research at Stanford University has the unique advantage of regular collection and isolation of mononuclear cells (MNC) from UCB donors. This study provides a robust characterization of the immune subset compositions of the CD34-negative MNC fraction of UCB (n=50). The study also compares the UCB data to adult peripheral blood (PB) mononuclear cells to identify differences in immune maturity. Using flow cytometry and single-cell RNA sequencing (scRNA-Seq), we analyzed UCB and adult PB MNC samples to characterize the cell surface protein and transcriptomic profiles of different immune subsets. Our study findings bring a higher-definition understanding of the unique immunological properties of umbilical cord blood. Study findings reveal a distinct immune profile in UCB, such as a higher average percentage of CD19 B Lymphocytes, CD4 T Cells, CD4 Naive T Cells, CD4 Recent Thymic Emigrants, CD8 Naive T Cells, CD8 Recent Thymic Emigrants, and CD19 Naive B Cells compared to adult PB. Additionally, there were fewer CD19 Memory B Cells in UCB compared to PB. The scRNA-Seq showed concordance in the proportion of immune cell types but captured more differentiated subtypes of cells. Additionally, scRNA-Seq showed unique clustering patterns in UCB, which reflect cell types that converge in adulthood as the immune system matures. These analyses yield the intriguing possibility that the immune heterogeneity of individuals at birth gives way to more stereotyped immune subsets as the immune system is exposed to the external environment and undergoes maturation. Overall, our findings provide a robust characterization of MNC UCB immune subsets and insights into how immune function develops from birth to adulthood.

immunology↗

Injectable Immune-Engineered Hydrogel Niche Remote From The Immune Suppressed Tumor Microenvironment For Cancer Immunotherapy

Immunocompromise is a hallmark of cancer, affecting both the peripheral immune system and local tumor microenvironment (TME). Current immunotherapies like checkpoint inhibitors, CAR-T cells, and neo-antigen vaccines show limited efficacy due to severe immunosuppression in most patients. Here, we report an immunologically engineered injectable nano-hydrogel (iHG) that can: (i) recruit the desired set of immune cells away from the suppressed TME and peripheral organs, (ii) activate them within a protective ambit of engineered immune-stimulatory hydrogel niche, and (iii) release them to target cancer even in distant locations. Biodegradable and injectable iHG compositions were tested and optimized for their ability to attract and activate dendritic cells, macrophages, monocytes, NK cells, B cells, and T cells via STING, TLR, CD86, and Th1-polarized cytokine pathway without requiring exogenously introduced neo-antigens as vaccines. In a mouse melanoma model, optimized iHGs elicited a robust antitumor immune response through innate and adaptive arms. Most importantly, iHGs as a single agent immunomodulator exhibited better tumor control than when combined with anti-PD1 immune checkpoint antibody. These findings highlight the potential of engineering immunologically functional and injectable hydrogel niches as a new type of immunotherapeutics to reprogram immune cells to overcome both local and systemic immunosuppression and combat cancer effectively.

immunology↗

Biophysical modeling for accurate T cell specificity prediction of viral and tumor antigens

Accurate predictions of T cell receptor (TCR) specificity remain an important open problem in immunology, with broad implications for vaccine design, optimal immunotherapy, and improved management of autoimmune diseases. However, diversity in peptide antigens and TCR sequences at the level of individual patient repertoires remains a formidable computational challenge. Here, we develop a joint experimental and computational approach for predicting the antigen specificity of clinically-derived TCR sequences. Our model is trained on a combination of experimentally pre-identified and in silico-predicted TCR-pMHC structures using AlphaFold3. We apply our structural model in the clinical setting of hematopoietic stem cell transplant (HSCT) and demonstrate that our model is able to effectively discern the specificity of previously unseen donor and patient-derived TCR sequences against tumor associated and viral antigens. Model performance was further enhanced through the integration of sequence-based clustering and structurally diverse training templates. Our results highlight the predictive capabilities of structurally guided machine learning frameworks, trained on a minority test dataset, for antigen specificity prediction on unseen TCR sequences and their potential impact on a wide range of immunological applications.

immunology↗

Born to Scratch: Towards Cutaneous Microtrauma in Newborns as a Driver of Immune Imprinting

Neonatal self-scratching, often considered a harmless mechanical reflex, may play a more influential role in shaping early immune system development than previously recognized. We hypothesize that superficial cutaneous microtrauma caused by healthy newborn scratching may contribute to immune imprinting through localized inflammatory responses and antigen exposure. We developed a time-resolved stochastic model to simulate antigen encounter, microbial presence and antigen capture dynamics in the context of superficial skin injury, to evaluate the likelihood of immune activation resulting from epidermal disruption. By varying parameters such as injury depth, microbial density and antigen presentation probability, we quantified their respective impacts on cumulative immune priming outcomes across simulated conditions. Simulations show that even shallow skin injuries, when combined with microbial ingress and effective antigen presentation, can exceed activation thresholds necessary for initiating early immune priming. Results indicate that a cascade of innate immune events, including keratinocyte activation, cytokine release and engagement of antigen-presenting cells, could be initiated by the minor skin abrasions commonly observed during neonatal scratching. This model supports a plausible mechanism through which seemingly minor mechanical injuries may contribute to early immune training. By treating the skin not merely as a passive barrier but as an active immunological interface, our approach recontextualizes common neonatal behaviours within a meaningful immunological framework. If validated, our hypothesis suggests that controlled microtrauma or targeted skin exposure in newborns could serve as a strategy to support immune development in a safe manner. Still, population-level modeling may allow translation from individual simulations to public health insights.

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T-bet expressing Tr1 cells driven by dietary signals dominate the small intestinal immune landscape

Intestinal immunity defends against enteric pathogens, mediates symbiotic relationships with the resident microbiota, and provides tolerance to food antigens, safeguarding critical nutrient absorption and barrier functions of this mucosal tissue. Despite the abundance of tissue resident activated T cells, their contributions to these various roles remains poorly understood. Here, we identify a dominant population of IL-10 producing, T-bet expressing CD4+ Tr1 T cells, residing in the small intestinal lamina propria at homeostasis. Remarkably, these intestinal Tr1 cells emerge at the time of weaning and accumulate independently of the microbiota displaying similar abundance, function and TCR repertoire under germ-free conditions. Instead, the small intestinal T-bet+ Tr1 program is driven and shaped by dietary antigens, and accumulates in a cDC1-IL-27 dependent manner. Upon activation, these cells robustly express IL-10 and multiple inhibitory receptors, establishing a distinct suppressive profile. Altogether, this work uncovers a previously unappreciated dominant player in homeostatic small intestinal immunity with the potential to play critical suppressive roles in this tissue, raising important implications for the understanding of immune regulation in the intestine. Significance StatementEstablishing immunological tolerance to self and environmental antigens is critical to preserve tissue homeostasis and function. In the intestine, both dietary and microbiota derived antigens are routinely encountered by the immune system, which deploys a variety of mechanisms to maintain tolerance to these innocuous antigens. Understanding how immunological tolerance is established is critical, a when this process goes awry it can lead to severe inflammatory and autoimmune diseases such as food allergy and inflammatory bowel disease. However, how tolerance is established in the intestine is still poorly understood. In this study we describe a novel dominant T cell population in the small intestine shaped by dietary components with the potential to play important roles in immune tolerance at this site. back # Introduction Barrier surfaces such as the gut and skin represent the first line of defense against the environment. These organs must strike a delicate balance between providing protection against environmental and infectious agents, maintaining tissue function, and establishing a homeostatic symbiotic relationship with resident microbes collectively known as the microbiota (1). The immune system plays a critical role in establishing these dynamic and carefully regulated relationships, as evidenced by the large number of immune cells present at these sites. Of particular note, activated T cells are very abundant at barrier tissues, where they orchestrate immune effector functions geared towards these varied tasks (1, 2). In the small intestine, the intraepithelial compartment harbors innate like natural CD8aa IELs, many of which are self reactive; as well as CD4CD8aa and CD8ab IELs responding to dietary and microbial antigens (3). The underlying lamina propria (SILP) harbors predominantly CD4 T cells, which participate in responses to commensal-derived and dietary antigens (2, 4). Despite the abundance of small intestinal CD4 T cells, only a handful of cognate immune interactions focusing on Type 17 and T regulatory helper subsets have been described. Thus, whether immune responses in this tissue are truly limited to a small number of antigenic triggers and effector functions remains to be fully elucidated. The small number of gut homeostatic CD4 T cell responses described thus far have been shown to primarily respond to specific commensal bacteria or dietary antigens (1, 2, 5-8): Among other examples, SFB induces cognate Th17 cells in the small intestine (9, 10), a consortium human commensal bacteria induces CD8b cells in the colon (11), and Akkermansia muciniphila indices TFH and other effector cells in the Peyers patches and lamina propria, respectively (12). Furthermore most regulatory T cells in the colon are induced in response to commensal or pathobiont species at homeostasis, providing critical regulatory functions (13, 14). Cognate immune responses to SFB help contain this commensal species in the intestine (15), but also have systemic impacts on the susceptibility to autoimmune disease (16, 17). Interestingly, despite presenting a classical Th17 effector profile, a subset of SFB-induced Th17 cells possess IL-10 secretion capabilities and suppress cognate immune responses without the expression of Foxp3 (18), suggesting immunoregulatory functions reminiscent of Tr1 cells. Whether these competing capabilities are unique to SFB-specific immune responses or a general hallmark of small intestinal immunity remains unknown. The description of SFB-specific Tr1-like cells in the small intestine was surprising, as this CD4 T cell subset, characterized by abundant IL-10 secretion in the absence of Foxp3 expression, has only been described in the context of chronic antigen stimulation, such as chronic infection or cancer (19). The Tr1 cell program is controlled by a variety of transcription factors and upstream signaling pathways, including IL-27 signaling, MAF and AHR (20). AHR-ligands are abundant in the intestine, and MAF is a hallmark of other regulatory commensal-specific responses (21, 14). Furthermore, IL-27, which can induce both proinflammatory and immunoregulatory functions, is abundant in the small intestine (22, 23). This raises the possibility that the Tr1 program is a more general feature of small intestinal immunity, not uniquely restricted to SFB-specific responses. In this study we explore the breadth of CD4 T cell responses in the small intestine, and uncover a previously uncharacterized CD4T-bet T cell immune response that is dominant in this tissue. Unexpectedly, these SILP CD4T-bet T cells are independent of the microbiota, maintaining a similar functional profile and shared antigen specificities in germ-free conditions. Instead, we reveal that dietary components drive the accumulation, function, and clonal selection of this T cell population. Finally, we show that, contrary to classical Th1 cells, SILP CD4T-bet T cells adopt a Tr1 immunoregulatory functional program during activation, suggesting that this is a general feature of CD4 T cell immunity in the small intestine wired towards immune regulation and tissue homeostasis.

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Comparative ScRNA-Seq Profiling of Antigen-Specific CD4+ T cells in Semi-Allogeneic Transplantation and Pregnancy Reveals Intersecting Signatures of Rejection and Tolerance

Transplantation of allogeneic organs requires lifelong immunosuppression to prevent rejection. Prior sensitization and resultant memory T cells are barriers to achieving successful transplant tolerance. In reproductive immunology by contrast, pregnancy represents a spontaneous model of tolerance where the semi-allogeneic fetus evades rejection even in multiparous or rejection-sensitized mothers. CD8+ T cell phenotypes of tolerance and rejection have been previously reported in transplant and pregnancy, but the transcriptional states of donor and fetus-specific CD4+ T cells remain poorly defined. Here, we performed Single-cell RNA-sequencing on endogenous, antigen-specific CD4+ T cells across models of allogeneic heart transplants and naive or paternal skin-sensitized pregnancy. We identified expanded T follicular helper (Tfh) and non-follicular effectors in transplant rejection absent in tolerance. Naive pregnancy resulted in a modest expansion of effector clusters with transcriptional quiescence that mirrored virgin mice. Successful sensitized pregnancy resulted in expanded Tfh clusters consistent with increased fetal-specific antibodies and limited non-Tfh effector responses. Most striking were the extensive changes imposed on donor-specific Foxp3pos regulatory T cells (Tregs) resulting in the co-clustering together with Foxp3neg T conventional cells (Tconvs) in transplant tolerance and the emergence of a Foxp3neg Type I Regulatory cluster observed in pregnancy of sensitized dams. Finally, we showed that these transcriptomes were relevant and enriched in human datasets of health and disease respectively. Thus, the context-dependent signatures of antigen-specific CD4+ T cells provide new insights into their divergent responses to allogeneic conflict at the intersection of transplant and reproductive immunology. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=178 HEIGHT=200 SRC="FIGDIR/small/663404v2_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@1b30a86org.highwire.dtl.DTLVardef@17820cforg.highwire.dtl.DTLVardef@1b1fbeaorg.highwire.dtl.DTLVardef@11ff17_HPS_FORMAT_FIGEXP M_FIG C_FIG

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Co-evolved Partners of Immunity: A Trait-Based Map of Human Keystone Organisms

Persistent human-adapted microbes can act as immunological "keystones," organizing host defense across tissues and shaping vulnerability under immune perturbation. More generally, tissue immunity is calibrated by persistent niche-resident organisms that tune compartment-specific thresholds of cytotoxicity and peripheral tolerance; keystone organisms represent the apex subset with multi-niche scope. Here we operationalize keystone organisms as pathogens whose containment requires coordinated engagement of multiple immune arms and whose residence is structured across anatomical niches. Using 18 curated immunological and evolutionary traits across 43 organisms, unsupervised analyses resolved four reproducible archetypes and identified a compact keystone set dominated by persistent herpesviruses and Mycobacterium tuberculosis. We then translated the clinical literature into a pathogenximmune-perturbationxniche tensor capturing where and when each organism emerges under defined immune deficits. We quantified "diagnostic breadth" with two complementary summaries: immune breadth (diversity of perturbations associated with emergence) and niche breadth (diversity of anatomical sites). Clinical emergence patterns perfectly separated trait-defined keystones from all other organisms and highlighted expanded niche breadth as the primary discriminator, whereas immune breadth showed no significant group separation. Finally, a mechanistic model integrating barrier disruption, latent reservoir activation, and tissue-resident immune control predicted clinical emergence from first principles--without fitting parameters to individual pathogens--and ranked true emergences 2.9-fold above chance among its highest-confidence predictions. Together, these results link evolutionary adaptation to clinically readable patterns of reactivation, motivate archetype-aware surveillance under immunosuppression, and provide a framework for immunogen design that prioritizes conserved, functionally constrained targets. Because the clinical tensor is literature-curated and sparse, "perfect separation" refers to keystone-vs-other discrimination within this dataset and is not a claim of universal out-of-sample performance.

immunology↗

Antiretroviral treatment does not prevent extrapulmonary tuberculosis during SIV/Mtb co-infection in macaques

Co-infection with both HIV and M. tuberculosis (Mtb) results in disseminated tuberculosis (TB) and accelerated progression of HIV. Despite greater access to antiretroviral treatment (ART), it remains unclear whether suppression of HIV replication protects against severe Mtb infection. Here, using a macaque model of SIV/Mtb coinfection, we investigated whether treatment of SIV infection with ART influenced control of a subsequent Mtb challenge compared to SIV infected macaques who were not treated with ART. Using a macaque model of simian immunodeficiency virus (SIV)-Mtb co-infection, macaques were first infected with SIVB670, SIVB670 with ART, or saline followed by a low-dose Mtb inoculation with serial clinical, microbiological, PET CT imaging, and immunologic assessments. At necropsy, gross pathology, viremia, bacterial burden, and immunologic parameters were compared. SIV-TB animals had greater gross pathology and total bacterial burden than TB only and SIV/ART/TB groups. However, despite normal blood CD4 counts and undetectable SIV RNA, SIV/ART/TB macaques showed similar clinical parameters and extrapulmonary involvement as SIV/TB animals. Analysis of barcoded-Mtb suggests ART control of SIV replication does not prevent Mtb extrapulmonary dissemination. These data indicate that people living with HIV on ART remain at high risk of bacterial dissemination and extrapulmonary TB disease, particularly when methods to identify extrapulmonary disease are inconsistent. This highlights the importance of understanding the mechanism of extrapulmonary spread and disease severity in HIV/TB co-infected individuals.

immunology↗

Viral evolution during primary infection in immunocompromised hosts

The immune response to viral infection is a delicate balance. By perturbing this balance, immunodeficiencies are expected to influence within-host viral evolution. Indeed, the presence of immunocompromised hosts has been argued to be a source of novel viral variants in some infectious diseases, including SARS-CoV-2. However, these arguments rest upon between-host models and so the role of immunodeficiencies on within-host evolution in primary infections is poorly understood. Using a mechanistic immunological model, here we consider how different immunodeficiencies shape the orchestration of the immune response during primary infection. We study how this alters the viral fitness landscape, thus speeding and slowing viral evolution. We show that during acute infections, while immunodeficiencies in neutrophils and interferon initially speed viral evolution, by the time the infection is cleared, mutations are at lower frequencies than in immunocompetent hosts. In persistent infections, we show that while T cell deficiencies slow viral evolution, interleukin-6 and macrophage deficiencies speed viral evolution. Finally, we show that positive epistatic interactions arising due to the immunological response will accelerate the evolution of viral mutations affecting the ability of virions to evade different aspects of the immune response and to enter host cells.

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Chasing the Bigfoot: shared molecular patterns among pMHC-I differentiate self from non self peptides

The ability of T cells to discriminate self from non-self peptides is a cornerstone of adaptive immunity, yet the structural principles guiding this process remain poorly defined. Here, we present a proof-of-concept study using physicochemical descriptors derived from images of peptide-MHC (pMHC) surfaces to explore patterns of immunogenicity. We modeled 353 pMHC complexes restricted to HLA-A*02:01, comprising 106 self-derived peptides from the HLA Ligand Atlas and 247 viral epitopes from the Immune Epitope Database. Electrostatic potentials of TCR-facing interfaces were computed and transformed into quantitative features across 92 immunologically relevant regions of interest. Unsupervised hierarchical clustering uncovered subsets of pMHCs forming self-only, viral-only, and mixed clusters, revealing conserved structural fingerprints linked to tolerance or immunogenicity. Heatmap analysis identified close viral-self proximities, highlighting candidate pairs potentially involved in molecular mimicry and autoimmune triggers. Building on these findings, we trained an XGBoost classifier that achieved strong performance (F1 score 0.87; AUC 0.84) in distinguishing self from viral peptides. To our knowledge, this is the first demonstration that structural and physicochemical fingerprints of pMHC complexes are sufficient to discriminate self from non-self. These results establish a framework for computational immunology and provide hypotheses for validation, with implications for autoimmunity, vaccine design, and immunotherapy.

immunology↗

A transcriptional map of human tonsil architecture:beyond the sum of (single cell) parts

The tonsil is a highly compartmentalized organ in which different microanatomical structures orchestrate designated (immune) functions. We use this already well-studied tissue to survey spatial molecular imaging data (CosMx SMI) for studying immune responses in native tissue context; and, to demonstrate the advantages of SMI for faithfully recapitulating cellular composition in direct comparison with single-cell RNA sequencing. While SMI data still poses many analytical challenges and lacks standardization, we established a versatile analysis pipeline focused on the profitable particularities of these data: considering organization (microenvironment), interactions (signaling), and function (higher-order structures) across scales. Specifically, we resolve ~ 2M cells into 52 subpopulations across immune and, in particular, structural compartments. Various spatial niches partition tonsillar tissue into architecturally and functionally distinct regions, which we characterize through cell-cell colocalization and communication analyses, while performing various non-standard analyses at the level of spatial features. These topological readouts may help elucidate where certain immunological processes occur (e.g., class switch recombination); and, where signaling pathways are active (e.g., TNF and galectin, which have been implicated in diverse lymphomas). In all, we provide an analytical framework for Spatial Immunology, and showcase alternative views that such techniques and concomitant computational approaches can bring on tissue composition and architecture.

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Intestinal challenges shape the polarisation of protective dural memory CD4 T cells

The meninges house several innate and adaptive immune cell populations1-3. These predominantly localise within the dura mater and include gut-derived IgA-secreting plasma cells4. Whether T cell adaptive memory in the dura is similarly linked to the gut is currently unknown. Here we show that dural CD4 T cell polarisation to a T helper (Th) 1, Th2 and Th17 state is determined by the nature of the immunological challenge encountered in the gastrointestinal tract. We find that intestinally polarised CD4 T cells seed to the dura in a CXCR6-CXCL16-dependent manner, express tissue-residency markers and are long-lived. Functionally, these orally-primed dural CD4 T are capable of a rapid antigen-specific recall response that limits pathogen spread into the brain following intravenous re-challenge. Our work reveals how linked intestinal and dural immunity enables the central nervous system to accrue immunological memory of gut microbes, the most likely source of life-threatening bloodborne pathogens.

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BCG Vaccination at Birth Shapes the TCR Usage and Functional Profile of MR1T Cells at 9 Weeks of Age

Tuberculosis (TB) is the leading infectious disease killer worldwide and children suffer disproportionately. The ongoing burden of disease, despite widespread vaccination with BCG, highlights the need for novel vaccines. MR1-restricted T (MR1T) cells recognize small molecules, including microbial-derived molecules, presented by the monomorphic MHC class 1- related molecule (MR1). They have both "innate" effector capacity, allowing them to quickly respond to pathogens including Mycobacterium tuberculosis (Mtb), while also having adaptive features (effector memory cell surface phenotype and selective TCR usage). Feasibility of an MR1T cell-based vaccination remains unexplored and critical to this is whether or not MR1T cells possess the capacity for immunological memory. To begin to address this question, peripheral blood mononuclear cells (PBMC) were collected at 9-weeks of age from healthy term- infants in South Africa, who had either received BCG vaccination at birth (n=10) or who had BCG vaccination delayed (n=10). MR1/5-OP-RU tetramer positive cells were sorted using flow cytometry and single-cell RNA and TCR-seq was performed. Ex-vivo MR1T cells from vaccinated infants demonstrated increased expression of type I interferon response genes consistent with a cytokine mediated response to BCG vaccination. Using the TCR clustering algorithm TCRdist3, similar TCRs were grouped together, revealing a cluster significantly enriched in BCG-vaccinated infants. This cluster exhibited elevated expression of pro- inflammatory and cytotoxic genes, consistent with a recall response to prior vaccination and evidence of possible recognition of Mtb. This work provides the first step in addressing if MR1T cells demonstrate immunological memory, however, further work is needed to understand if these clonal expansions persist and possess the capacity for antigenic recall.

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Divergent role of CD8 T cells with distinct metabolic phenotypes during curative radio-immunotherapy in hot versus cold tumors

Immunotherapy has potential for impactful cancer cures by empowering patients own immune cells. We developed a radio-immunotherapy regimen that can cure large immunologically hot and cold murine tumors. Here, we explored the divergent role of CD8 T cells during this radio-immunotherapy in contrasting hot colon carcinoma versus cold melanoma. We introduced an immunocompetent mouse model with mCherry-expressing CD8 T cells to provide cell tracking in vivo. We investigated single-cell function, metabolism, and gene expression temporal changes using flow cytometry, in vivo multiphoton imaging, single-cell RNA sequencing, and multiplexed immunofluorescence to determine the underlying mechanisms. We found that in contrast to the hot colon carcinoma model, CD8 T cells from the cold melanoma model do not drive tumor cures, despite getting activated, possibly due to a static oxidative metabolism and exhausted phenotype plus down regulation of tumor MHC-I expression. These findings have implications for improving immunotherapy response in immunologically cold cancers.

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Spatial analysis reveals the cellular microenvironments and mechanisms of inflammation and kidney injury in acute interstitial nephritis

Acute interstitial nephritis (AIN) causes 15-20% of all acute kidney injury cases but lacks effective therapies beyond corticosteroids. Using high-resolution imaging mass cytometry and single-cell spatial transcriptomics to analyze human kidney biopsies with AIN, non-immunologic acute tubular injury (ATI), and reference tissue, the CXCL9-CXCR3 axis was identified as the defining immunologic signature of AIN, with 44-fold higher predicted CXCL9-CXCR3 interactions than ATI, creating homotypic inflammatory T cell amplification networks concentrated in lymphoid aggregates. C3AR1+ immune cells were enriched in peritubular neighborhoods of complement 3-expressing injured tubule cells, predominantly VCAM1+ injured proximal tubules, linking tubular injury to immune activation in AIN. Nicotinamide phosphoribosyltransferase (NAMPT) was the strongest predictor of VCAM1+ tubular microenvironments, with expression by both injured tubules and surrounding immune cells coordinating metabolic-inflammatory niches. These findings reveal distinct molecular circuits underlying AIN pathogenesis and identify potential therapeutic targets for improving clinical management and preventing progression to chronic kidney disease.

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