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Layton, E. D.

Publications and source records attributed to Layton, E. D..

5 recordsLinked to original sources

Type I Interferon-Driven Monocyte Dysregulation and MAS-associated CD8+ T cells During Macrophage Activation Syndrome

Macrophage activation syndrome (MAS) is driven by a hyperinflammatory response characterized by aberrant activation of lymphocytes and phagocytes. While monocytes and macrophages are thought to be important in MAS pathogenesis, their role remains poorly understood. We used bulk and single-cell RNA sequencing (RNA-Seq) on sorted monocytes from children with MAS and healthy controls to identify transcriptional changes during MAS. We defined a MAS signature in classical monocytes that correlated with ferritin and was elevated in monocytes from systemic lupus erythematosus and COVID-19 patients. We also identified a subset of classical monocytes with high levels of interferon-stimulated genes (ISGs) that expanded during MAS. Surprisingly, the transcriptional signature of these cells was driven by type I IFNs, rather than IFN{gamma}. Consistent with this finding, we detected increased levels of circulating IFN{beta} during MAS, suggesting that IFN{beta} plays an unrecognized role in driving MAS monocyte responses. We also identified a MAS-associated CD8+ T cell population with a distinctive transcriptional signature. We used cell-cell communication algorithms to predict increased immunoregulatory interactions between monocytes and T cells during MAS. Together, these results provide new evidence for a role for type I IFN during MAS and identify a unique CD8+ T cell population that may contribute to MAS pathophysiology.

immunology↗

Dissecting type I and II interferon impacts on human immune cells in disease by a cell type-specific interferon response atlas

Interferons (IFNs) orchestrate diverse immune responses, but distinguishing individual IFN contributions in human transcriptomic data is challenging due to overlapping interferon-stimulated gene (ISG) signatures and limited cell-type-specific datasets. To address this, we generated a single-cell transcriptomic atlas of IFN responses by stimulating primary human T, B, NK, and CD14 monocytes with IFN-I, IFN-II, and IFN-III. This revealed core and cell-type-specific ISG programs across 13 subsets, highlighting distinct functions of IFNs. We developed an algorithm to separate IFN-I and IFN-II activity in transcriptomic data. Applied to multiple myeloma samples, it showed elevated IFN-I and IFN-II responses, with induction therapy reducing only IFN-I. Extending to multiple disease datasets provided a cross-disease overview of IFN-I and IFN-II activities and revealed increased IFN-II activities in T cells during lupus flares. This resource and the accompanying analytical framework enable dissection of IFN-driven transcriptional programs in a cell-type specific manner in human disease.

immunology↗

Longitudinal Multi-omic Immune Profiling Reveals Age-Related Immune Cell Dynamics in Healthy Adults

The generation and maintenance of protective immunity is a dynamic interplay between host and environment that is impacted by age. Understanding fundamental changes in the healthy immune system that occur over a lifespan is critical in developing interventions for age-related susceptibility to infections and diseases. Here, we use multi-omic profiling (scRNA-seq, proteomics, flow cytometry) to examined human peripheral immunity in over 300 healthy adults, with 96 young and older adults followed over two years with yearly vaccination. The resulting resource includes scRNA-seq datasets of >16 million PBMCs, interrogating 71 immune cell subsets from our new Immune Health Atlas. This study allows unique insights into the composition and transcriptional state of immune cells at homeostasis, with vaccine perturbation, and across age. We find that T cells specifically accumulate age-related transcriptional changes more than other immune cells, independent from inflammation and chronic perturbation. Moreover, impaired memory B cell responses to vaccination are linked to a Th2-like state shift in older adults memory CD4 T cells, revealing possible mechanisms of immune dysregulation during healthy human aging. This extensive resource is provided with a suite of exploration tools at https://apps.allenimmunology.org/aifi/insights/dynamics-imm-health-age/ to enhance data accessibility and further the understanding of immune health across age.

immunology↗

MR1-restricted T cell clonotypes are associated with 'resistance' to M.tuberculosis infection

T cells are required for a protective immune response against the human adapted pathogen Mycobacterium tuberculosis (M.tb). We recently described a cohort of Ugandan household contacts of tuberculosis cases that appear to resist M.tb infection (RSTRs) and showed that these individuals harbor IFN-{gamma} independent T cell responses to M.tb-specific peptide antigens. However, T cells also recognize non-protein antigens via antigen presenting systems that are independent of genetic background, leading to their designation as donor-unrestricted T (DURT) cells. We used combinatorial tetramer staining and multi-parameter flow cytometry to comprehensively characterize the association between DURTs and resistance to M.tb infection. We did not observe a difference in peripheral blood frequencies of invariant natural killer T (iNKT) cells, germline encoded mycolyl-reactive (GEM) T cells, or {gamma}{delta} T cells between RSTRs and matched controls with latent M.tb infection (LTBIs). However, we did observe a 1.65-fold increase in frequency of circulating MR1-restricted T (MR1T) cells among RSTRs in comparison with LTBI (p=0.03). Multi-modal single cell RNA-sequencing of 18,251 MR1T cells sorted from a subset of donors revealed 5150 clonotypes that expressed a common transcriptional program, the majority of which were private. Deep sequencing of the TCR- repertoire revealed several DURT clonotypes that were expanded among RSTRs, including at least two MR1T clonotypes. Taken together, our data reveal unexpected donor-specific diversity in the TCR repertoire of human MR1T cells as well as associations between MR1 clonotypes and resistance to M.tb infection.

immunology↗

CD4 and CD8 co-receptors modulate functional avidity of CD1b-restricted T cells.

CD4 and CD8 co-receptors define distinct lineages of T cells restricted by major histocompatibility complex (MHC) Class II and I molecules, respectively. Co-receptors interact with the T cell receptor (TCR) at the surface of MHC-restricted T cells to facilitate antigen recognition, thymic selection, and functional differentiation. T cells also recognize lipid antigens presented by CD1 molecules, but the role that CD4 and CD8 play in lipid antigen recognition is unknown. We studied the effect of CD4 and CD8 on the avidity, activation, and function of T cells specific for two CD1b-presented mycobacterial lipid antigens, glucose monomycolate (GMM) and diacylated sulfoglycolipids (SGL). In a human cohort study using SGL-loaded CD1b tetramers, we discovered a hierarchy among SGL-specific T cells in which T cells expressing the CD4 or CD8 co-receptor stain with a higher tetramer mean fluorescence intensity (MFI) than CD4-CD8- T cells. To determine the role of the TCR co-receptor in lipid antigen recognition, we exogenously expressed GMM and SGL-specific TCRs in Jurkat or polyclonal T cells and quantified tetramer staining and activation thresholds. Transduced CD4+ primary T cells bound the lipid-loaded CD1b tetramer with a higher MFI than CD8+ primary T cells, and transduced CD8+ Jurkat cells bound the SGL-CD1b tetramer with higher MFI than CD4-CD8- Jurkat cells. The presence of either co-receptor also decreased the threshold for IFN-{gamma} secretion. Further, co-receptor expression increased surface expression of CD3{varepsilon}, suggesting a mechanism for increased tetramer binding and activation. Finally, we used single-cell sequencing to define the TCR repertoire and ex vivo functional profiles of SGL-specific T cells from individuals with M.tb disease. We found that CD8+ T cells specific for SGL express canonical markers associated with cytotoxic T lymphocytes, while CD4+ T cells could be classified as T regulatory or T follicular helper cells. Among SGL-specific T cells, only those expressing the CD4 co-receptor also expressed Ki67, suggesting that they were actively proliferating at the time of sample collection. Together, these data reveal that expression of CD4 and CD8 co-receptor modulates TCR avidity for lipid antigen, leading to functional diversity and differences in in vivo proliferation during M.tb disease.

immunology↗