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The activation of CD4+ T‐cells in a T cell receptor (TCR)‐dependent antigen‐specific manner is a central characteristic of the adaptive immune response. In addition to ensuring that CD4+ T‐cells recognise their cognate antigen during activation, TCR‐mediated signalling can also direct the outcome of differentiation. In both in vivo and in vitro model systems, strong TCR signalling has been demonstrated to drive Th1 differentiation, whereas weak TCR signalling drives Th2 responses. During the process of differentiation, TCR signal strength acts as a quantitative component in combination with the qualitative effects imparted by cytokines to polarise distinct T‐helper lineages. Here, we investigated the role of interleukin 2 (IL‐2) signalling in determining the outcome of TCR‐dependent differentiation. IL‐2 production was initiated as an early response to TCR‐induced activation and was regulated by the strength of TCR signalling initially received. In the absence of IL‐2, TCR dependent differentiation was found to be abolished. However, proliferative responses and early markers of activation were maintained, including the upregulation of GATA3, Tbet and Foxp3 at 24 h post‐stimulation. Demonstrating that IL‐2 signalling has a key role in stabilising and amplifying lineage‐specific transcirption factor expression during differentiation. Further, activation of IL‐2‐deficient T‐cells in the presence of exogenous cytokines was sufficient to restore differentiation whilst maintaining transcriptional signatures imparted during initial TCR signalling. Combined, our data demonstrate that the integration of quantitative TCR‐dependent signalling and qualitative IL‐2 signalling is essential for determining the fate of CD4+ T‐cells during differentiation. [ABSTRACT FROM AUTHOR]

Introduction: Sepsis remains a major cause of mortality and morbidity in infants. In recent years, several gene marker strategies for the early identification of sepsis have been proposed but only a few have been independently validated for adult cohorts and applicability to infant sepsis remains unclear. Biomarkers to assess disease severity and risks of shock also represent an important unmet need. Methods: To elucidate characteristics driving sepsis in infants, we assembled a multi-transcriptomic dataset from public microarray datasets originating from five independent studies pertaining to bacterial sepsis in infant < 6-months of age (total n=335). We utilized a COmbat co-normalization strategy to enable comparative evaluation across multiple studies while preserving the relationship between cases and controls. Results: We found good concordance with only two out of seven of the published adult sepsis gene signatures (accuracy > 80%), highlighting the narrow utility of adult-derived signatures for infant diagnosis. Pseudotime analysis of individual subjects' gene expression profiles showed a continuum of molecular changes forming tight clusters concurrent with disease progression between healthy controls and septic shock cases. In depth gene expression analyses between bacteremia, septic shock, and healthy controls characterized lymphocyte activity, hemostatic processes, and heightened innate immunity during the molecular transition toward a state of shock. Discussion: Our analysis revealed the presence of multiple significant transcriptomic perturbations that occur during the progression to septic shock in infants that are characterized by late-stage induction of clotting factors, in parallel with a heightened innate immune response and a suppression of adaptive cell functionality. [ABSTRACT FROM AUTHOR]

Type 1 diabetes (T1D) is a chronic autoimmune disease characterized by the destruction of insulin-producing pancreatic β-cells by the immune system. Although conventional therapeutic modalities, such as insulin injection, remain a mainstay, recent years have witnessed the emergence of novel treatment approaches encompassing immunomodulatory therapies, such as stem cell and β-cell transplantation, along with revolutionary gene-editing techniques. Notably, recent research endeavors have enabled the reshaping of the T-cell repertoire, leading to the prevention of T1D development. Furthermore, CRISPR–Cas9 technology has demonstrated remarkable potential in targeting endogenous gene activation, ushering in a promising avenue for the precise guidance of mesenchymal stem cells (MSCs) toward differentiation into insulin-producing cells. This innovative approach holds substantial promise for the treatment of T1D. In this review, we focus on studies that have developed T1D models and treatments using gene-editing systems. [ABSTRACT FROM AUTHOR]

[FOXP3.sup.+] regulatory T cells ([T.sub.reg] cells) prevent autoimmunity by limiting the effector activity of T cells that have escaped thymic negative selection or peripheral inactivation. Despite the information available about molecular factors mediating the suppressive function of [T.sub.reg] cells, the relevant cellular events in intact tissues remain largely unexplored, and whether [T.sub.reg] cells prevent activation of self-specific T cells or primarily limit damage from such cells has not been determined. Here we use multiplex, quantitative imaging in mice to show that, within secondary lymphoid tissues, highly suppressive [T.sub.reg] cells expressing phosphorylated STAT5 exist in discrete clusters with rare IL-2-positive T cells that are activated by self-antigens. This local IL-2 induction of STAT5 phosphorylation in [T.sub.reg] cells is part of a feedback circuit that limits further autoimmune responses. Inducible ablation of T cell receptor expression by [T.sub.reg] cells reduces their regulatory capacity and disrupts their localization in clusters, resulting in uncontrolled effector T cell responses. Our data thus reveal that autoreactive T cells are activated to cytokine production on a regular basis, with physically co-clustering T cell receptor-stimulated [T.sub.reg] cells responding in a negative feedback manner to suppress incipient autoimmunity and maintain immune homeostasis., [T.sub.reg] cells play crucial roles in maintaining immune homeostasis (1-3) and many molecular mechanisms contribute to the ability of these cells to interfere with damaging anti-self responses (4,5). To explore [...]

Hereditary hearing loss (HHL) is a common genetic disorder accounting for at least 60% of pre-lingual deafness in children, of which 70% is inherited in an autosomal recessive pattern. The long tradition of consanguinity among the Qatari population has increased the prevalence of HHL, which negatively impacts the quality of life. Here, we functionally validated the pathogenicity of the c.178G>C, p.E60Q mutation in the MYO6 gene, which was detected previously in a Qatari HHL family, using cellular and animal models. In vitro analysis was conducted in HeLa cells transiently transfected with plasmids carrying MYO6WT or MYO6p.E60Q, and a zebrafish model was generated to characterize the in vivo phenotype. Cells transfected with MYO6WT showed higher expression of MYO6 in the plasma membrane and increased ATPase activity. Modeling the human MYO6 variants in zebrafish resulted in severe otic defects. At 72 h post-injection, MYO6p.E60Q embryos demonstrated alterations in the sizes of the saccule and utricle. Additionally, zebrafish with MYO6p.E60Q displayed super-coiled and bent hair bundles in otic hair cells when compared to control and MYO6WT embryos. In conclusion, our cellular and animal models add support to the in silico prediction that the p.E60Q missense variant is pathogenic and damaging to the protein. Since the c.178G>C MYO6 variant has a 0.5% allele frequency in the Qatari population, about 400 times higher than in other populations, it could contribute to explaining the high prevalence of hearing impairment in Qatar. [ABSTRACT FROM AUTHOR]

Polarization of effector CD4+ T cells can be influenced by both antigen-specific signals and by pathogen- or adjuvant-induced cytokines, with current models attributing a dominant role to the latter. Here we have examined the relationship between these factors in shaping cell-mediated immunity by using intravital imaging of CD4+ T cell interactions with dendritic cells (DCs) exposed to polarizing adjuvants. These studies revealed a close correspondence between strength of T cell receptor (TCR)-dependent signaling and T helper 1 (Th1) versus Th2 cell fate, with antigen concentration dominating over adjuvant in controlling T cell polarity. Consistent with this finding, at a fixed antigen concentration, adjuvants inducing Th1 cells operated by affecting DC costimulation that amplified TCR signaling. TCR signal strength controlled downstream cytokine receptor expression, linking the two components in a hierarchical fashion. These data reveal how quantitative integration of antigen display and costimulation regulates downstream checkpoints responsible for cytokine-mediated control of effector differentiation. [ABSTRACT FROM AUTHOR]

Allergic asthma develops in the mucosal tissue of small bronchi. At these sites, local cytokine production by Th2/Th17 cells is believed to be critical for the development of tissue eosinophilia/neutrophilia. Using the mouse trachea as a relevant model of human small airways, we performed advanced in vivo dynamic and in situ static imaging to visualize individual cytokine-producing T cells in the airway mucosa and to define their immediate cellular environment. Upon allergen sensitization, newly recruited CD4+ T cells formed discrete Ag-driven clusters with dendritic cells (DCs). Within T cell-DC clusters, a small fraction of CD4+ T cells produced IL-13 or IL-17 following prolonged Ag-specific interactions with DCs. As a result of local Th2 cytokine signaling, eosinophils were recruited into these clusters. Neutrophils also infiltrated these clusters in a T cell-dependent manner, but their mucosal distribution was more diffuse. Our findings reveal the focal nature of allergen-driven responses in the airways and define multiple steps with potential for interference with the progression of asthmatic pathology. [ABSTRACT FROM AUTHOR]

Obesity and type 2 diabetes (T2D) are increasingly prevalent worldwide, and there is a critical need for novel interventions. Interleukin-33 (IL-33), an anti-inflammatory cytokine that regulates metabolism, is a promising biomarker for these conditions. The goal of this systematic review and meta-analysis is to examine the role of IL-33 in obesity and T2D, assessing its potential in predicting disease progression. A systematic search was performed on Scopus, Web of Science, and PubMed up until 30 May 2023. Each study was assessed for quality and sources of bias using the relevant critical appraisal checklists. Meta-analyses were conducted to compare IL-33 levels in individuals with obesity and T2D versus healthy controls (HC), and in obesity alone versus HC. Eighteen studies were included in the systematic review, and nine qualified for meta-analyses. The analyses showed insufficient evidence to suggest a significant difference in IL-33 levels between individuals with T2D and HC (MD = -79.95, 95% CI [-241.38;81.48]), with substantial heterogeneity across the studies observed (I 2 = 97.1%, Tau 2 =33549.15). Similarly, there was insufficient evidence to suggest a significant difference between non-diabetic individuals with obesity and HC (MD = -7.31, 95% CI [-25.74; 11.13]), and heterogeneity was noted (I2 = 86.2%, Tau2 = 342.45). There is insufficient evidence to indicate significant differences in IL-33 levels in individuals with T2D or obesity compared to HC. The results suggest a need for improved IL-33 measurement methods to reduce heterogeneity, enhancing understanding of the role of IL-33 in obesity and T2D, and informing future research and therapeutic strategies.

Introduction: Sepsis remains a major cause of mortality and morbidity in infants. In recent years, several gene marker strategies for the early identification of sepsis have been proposed but only a few have been independently validated for adult cohorts and applicability to infant sepsis remains unclear. Biomarkers to assess disease severity and risks of shock also represent an important unmet need., Methods: To elucidate characteristics driving sepsis in infants, we assembled a multi-transcriptomic dataset from public microarray datasets originating from five independent studies pertaining to bacterial sepsis in infant < 6-months of age (total n=335). We utilized a COmbat co-normalization strategy to enable comparative evaluation across multiple studies while preserving the relationship between cases and controls., Results: We found good concordance with only two out of seven of the published adult sepsis gene signatures (accuracy > 80%), highlighting the narrow utility of adult-derived signatures for infant diagnosis. Pseudotime analysis of individual subjects' gene expression profiles showed a continuum of molecular changes forming tight clusters concurrent with disease progression between healthy controls and septic shock cases. In depth gene expression analyses between bacteremia, septic shock, and healthy controls characterized lymphocyte activity, hemostatic processes, and heightened innate immunity during the molecular transition toward a state of shock., Discussion: Our analysis revealed the presence of multiple significant transcriptomic perturbations that occur during the progression to septic shock in infants that are characterized by late-stage induction of clotting factors, in parallel with a heightened innate immune response and a suppression of adaptive cell functionality., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Huang, Toufiq, Eghtesady, Van Panhuys and Garand.)

Knowledge of the mechanisms underpinning the development of protective immunity conferred by mRNA vaccines is fragmentary. Here, we investigated responses to coronavirus disease 2019 (COVID-19) mRNA vaccination via high-temporal resolution blood transcriptome profiling. The first vaccine dose elicited modest interferon and adaptive immune responses, which peaked on days 2 and 5, respectively. The second vaccine dose, in contrast, elicited sharp day 1 interferon, inflammation, and erythroid cell responses, followed by a day 5 plasmablast response. Both post-first and post-second dose interferon signatures were associated with the subsequent development of antibody responses. Yet, we observed distinct interferon response patterns after each of the doses that may reflect quantitative or qualitative differences in interferon induction. Distinct interferon response phenotypes were also observed in patients with COVID-19 and were associated with severity and differences in duration of intensive care. Together, this study also highlights the benefits of adopting high-frequency sampling protocols in profiling vaccine-elicited immune responses.

Detection of factor VIII (FVIII) in cells by flow cytometry is controversial, and no monoclonal fluorescent antibody is commercially available. In this study, we optimized such an assay and successfully used it as a platform to study the functional properties of phosphoglycerate kinase (PGK)-FVIII lentiviral vector-transduced cells by directly visualizing FVIII in cells after different gene transfer conditions. We could measure cellular stress parameters after transduction by correlating gene expression and protein accumulation data. Flow cytometry performed on transduced cell lines showed that increasing MOI rates resulted in increased protein levels, plateauing after an MOI of 30. We speculated that, at higher MOI, FVIII production could be impaired by a limiting factor required for proper folding. To test this hypothesis, we interfered with the unfolded protein response by blocking proteasomal degradation and measured the accumulation of intracellular misfolded protein. Interestingly, at higher MOIs the cells displayed signs of toxicity with reactive oxygen species accumulation. This suggests the need for identifying a safe window of transduction dose to avoid consequent cell toxicity. Herein, we show that our flow cytometry platform for intracytoplasmic FVIII protein detection is a reliable method for optimizing gene therapy protocols in hemophilia A by shedding light on the functional status of cells after gene transfer., (© 2019 The Author(s).)