CD4+ T-Cell Plasticity in Non-Infectious Retinal Inflammatory Disease

Non-infectious uveitis (NIU) is a potentially sight-threatening disease. Effector CD4+ T cells, especially interferon-γ-(IFNγ) producing Th1 cells and interleukin-17-(IL-17) producing Th17 cells, are the major immunopathogenic cells, as demonstrated by adoptive transfer of disease in a model of experimental autoimmune uveitis (EAU). CD4+FoxP3+CD25+ regulatory T cells (Tregs) were known to suppress function of effector CD4+ T cells and contribute to resolution of disease. It has been recently reported that some CD4+ T-cell subsets demonstrate shared phenotypes with another CD4+ T-cell subset, offering the potential for dual function. For example, Th17/Th1 (co-expressing IFNγ and IL-17) cells and Th17/Treg (co-expressing IL-17 and FoxP3) cells have been identified in NIU and EAU. In this review, we have investigated the evidence as to whether these ‘plastic CD4+ T cells’ are functionally active in uveitis. We conclude that Th17/Th1 cells are generated locally, are resistant to the immunosuppressive effects of steroids, and contribute to early development of EAU. Th17/Treg cells produce IL-17, not IL-10, and act similar to Th17 cells. These cells were considered pathogenic in uveitis. Future studies are needed to better clarify their function, and in the future, these cell subsets may in need to be taken into consideration for designing treatment strategies for disease.

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Dysfunctional Tregs with Absence of Cytokine-Secreting CD4+ T-Cell Subsets and Marked Expansion of Th1 Cells Is a Hallmark of Idiopathic Aplastic Anaemia (AA)

Blood ◽

10.1182/blood.v116.21.2233.2233 ◽

2010 ◽

Vol 116 (21) ◽

pp. 2233-2233

Author(s):

Shahram Kordasti ◽

Judith C. W. Marsh ◽

Pilar Perez Abellan ◽

Sufyan Alkhan ◽

Janet Hayden ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

B Cells ◽

Cd4 T Cells ◽

Cytokine Secretion ◽

T Cell Subsets ◽

Cd4 T Cell ◽

Th1 Cells ◽

Healthy Controls ◽

Ifn Γ

Abstract Abstract 2233 Introduction: Autoimmunity is an important contributor in the aetiology of AA. Although the expansion of oligoclonal CD8+ T-cells and their correlation with response to immunosuppressive therapy (IST) has been reported previously, the role of CD4+ in the pathogenesis is not elucidated. The focus of this study was to investigate the role of different CD4+ T-cell subsets, including regulatory T-cells (Tregs) and T helpers (Th1, Th2 and Th17) in the pathobiology of idiopathic AA. Patients and Methods: The percentage and absolute numbers of CD4+ and CD8+ T-cell subsets, NK & B cells and dendritic cells (DCs) in peripheral blood were assessed in 42 patients with idiopathic AA prior to any IST and 8 healthy age matched controls. T-cells were stimulated first and stained intracellularly for IFN-γ and TNF-a (Th1), IL-4 (Th2) and IL-17 (Th17). Serum levels of 30 cytokines were measured by 30 Plex bead analysis (Luminex). NK cells were defined as CD3– CD56+. B cells were defined as CD3-CD19+. CD3+ CD4+.T-cell subsets were defined as CD45RO–CD27+ naïve, CD45RO+ CD27+ CD62L+ central memory, CD45RO+ CD27+ CD62L– effector memory, CD45RO+CD27– effectors and CD45RO– CD27– terminal effectors. DCs were defined based on their BDCA 1,2, 3 & CD16 expression. CD4 Tregs were defined as CD3+CD4+ CD25high CD27+Foxp3+. Treg subsets were defined as (1) CD45RA+CD25lo resting Tregs, (2) CD45RA-CD25hi activated Tregs, and (3) cytokine-secreting CD45RA-CD25lo non-Tregs1. Treg function was evaluated by cytokine secretion of T effector cells (Te) with and without Tregs. IFN-γ secreting CD4+ T-cells (Th1) were enriched by magnetic beads followed by FACS sorting. The clonality of Th1 cells was evaluated based on the diversity of T-cell receptors by spectratyping as well as sequencing. Transcription factor expression was measured by qPCR. Results: There were no significant differences in the number or percentage of different CD8 T-cells compared to healthy controls. Surprisingly, despite a borderline decrease in the absolute number of naïve (p=0.19) and central memory (p=0.20) CD4+T-cells the number and percentage of Tregs were no different from healthy controls (1.36×107/L v 1.34×107/L, p=0.57). Although the ratio of Tregs to CD4+ T-effectors (Te) was higher than in healthy controls, the difference was not significant (0.49 v 0.12, p=0.86). The absolute numbers and percentages of Th1 cells and TNF-α + CD4+ T-cells were significantly higher in AA patients compared to healthy controls (4.2 × 107/L v 0.9 × 107/L & 2.44 × 108 v 1.26 × 108(p=0.001, p=0.004)). The diversity of T-cell receptor on Th1 cells was significantly lower compared to healthy age matched controls (on average 21 & 52 peaks). Amongst AA patients, the numbers of Th2, Th17, NK and B cells were not significantly different from healthy controls, whereas the absolute numbers of all DCs were reduced(p<0.01). The serum levels of proliferative cytokines, EGF (p=0.01), HGF (p=0.01), VEGF (p=0.01) and pro-inflammatory cytokines IL-13 (p=0.02), IL-8 (p<0.001) were significantly higher in AA patients. The percentage of cytokine secreting CD4+ CD25+ T-cells was markedly decreased in AA patients and the activated Treg subsets were predominantly of CD45RA+ phenotype, which was significantly different from healthy controls. Sorted Tregs from AA patients were unable to suppress cytokine secretion by Te cells in a 1:1 co-culture. However, IL-2, IFN-γ and TNF-α secretion of Te from AA patients was suppressible by allogeneic Tregs from healthy controls (on average 11 time suppression), whereas Tregs from AA patients were unable to suppress healthy Te cells. However, dysfunctional Tregs were not associated with abnormality of transcription factors, as judged by the levels of STAT1, 3, 4, 5 & 6, FoxP3 & T-bet of Tregs that were not significantly different from healthy age matched controls. Conclusion: Our data show that although FoxP3+ Tregs are normal in AA, a subset of these cells is markedly reduced and the activated Tregs aberrantly express CD45RA. Furthermore, unlike normal Tregs, the Tregs from AA patients do not suppress the inflammatory cytokine secretion by Te cells. The absence of DCs in the peripheral blood suggests their immigration to the inflammation site (e.g. bone marrow), which may play a role in the polarisation of T helpers toward a Th1 phenotype. Clonal expansion of Th1 cells may suggest potential antigen specificity that may lead to AA phenotype. 1. Miyara M, et al. Immunity. 2009. Disclosures: No relevant conflicts of interest to declare.

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Single cell sequencing reveals expanded cytotoxic CD4+ T cells and two states of peripheral helper T cells in synovial fluid of ACPA+ RA patients

10.1101/2021.05.28.21255902 ◽

2021 ◽

Author(s):

Alexandra Argyriou ◽

Marc H Wadsworth ◽

Adrian Lendvai ◽

Stephen M Christensen ◽

Aase Hensvold ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

Synovial Fluid ◽

Single Cell ◽

Cd4 T Cells ◽

Cell Subset ◽

T Cell Subsets ◽

Cd4 T Cell ◽

T Cell Subset ◽

Single Cell Sequencing

Rheumatoid arthritis is an autoimmune disease affecting the synovial joints where different subsets of CD4+ T cells are suspected to play a pathogenic role. So far, our understanding of the contribution of cytotoxic CD4+ T cells is incomplete, particularly in the context of the recently described peripheral helper T-cell subset (TPH). Here, using single cell sequencing and multi-parameter flow cytometry, we show that cytotoxic CD4+ T cells are enriched in synovial fluid of anti-citrullinated peptides antibody (ACPA)-positive RA patients. We identify two distinct TPH states differentially characterized by the expression of CXCL13 and PRDM1, respectively. Our data reveal that the adhesion G-Protein Coupled Receptor 56 (GPR56), a marker of circulating cytotoxic cells, delineates the synovial TPH CD4+ T-cell subset. At the site of inflammation, GPR56+CD4+ T cells expressed the tissue-resident memory markers LAG-3, CXCR6 and CD69. Further, TCR clonality analysis revealed that most expanded clones in SF are contained within the cytotoxic and the CXCL13+ TPH CD4+ T-cell populations. Finally, the detection of common TCRs between the two TPH and cytotoxic CD4+ T-cell clusters suggest a shared differentiation. Our study provides comprehensive immunoprofiling of the heterogenous T-cell subsets at the site of inflammation in ACPA+ RA and suggests GPR56 as a therapeutic target to modulate TPH cells and cytotoxic CD4+ T cell function

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A Variety of T-Cell Subsets Contribute to CD4+ T-Cell Infiltration in Diffuse Large B-Cell Lymphoma and Both Total CD4+ and CD4+FoxP3+ T-Cell Numbers Predict Clinical Outcome,

Blood ◽

10.1182/blood.v118.21.3684.3684 ◽

2011 ◽

Vol 118 (21) ◽

pp. 3684-3684

Author(s):

Matthew J Ahearne ◽

Kaljit S Bhuller ◽

Roger Hew ◽

Giovanna Roncador ◽

Martin J.S. Dyer ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

Clinical Outcome ◽

Cd4 T Cells ◽

T Cell Subsets ◽

Cd4 T Cell ◽

Cell Infiltration ◽

Good Clinical Outcome ◽

Logrank Test ◽

Tfh Cells

Abstract Abstract 3684 CD4+ T-cells can be distinguished into subsets on the basis of surface marker expression and growth factor production. Follicular helper T-cells (Tfh cells) are characterized by the co-expression of surface markers (CD4, ICOS, PD1 and CXCR5) and nuclear BCL6. Normal germinal centre formation requires Tfh cells but is repressed by another CD4+ T-cell subset, Tregs, (demonstrating CD4 and CD25 expression with nuclear FoxP3). The numbers and architecture of infiltrating T-cells predict clinical outcome in follicular lymphoma but although T-cells are a component of diffuse large B cell lymphoma (DLBCL), the relative numbers of CD4+ T-cells and their Tfh and Treg subsets or their association with clinical outcome is not known. We used immunohistochemistry to investigate infiltration by total CD4+, Treg and Tfh cells in cases (n=23) from one centre. The male:female was 1.3:1.0, the age range was 30 to 78 years (median 65 years) and the anticipated association between overall survival and LDH (logrank test, P=0.02) was observed. Patients were treated with R-CHOP with a 21-day cycle. Histological sections were stained with anti-CD4, anti-PD1 and anti-FoxP3 antibodies. For each antibody the area of staining was measured using ImageJ software from 10 high power fields from the same area of each histological section. Tfh cells were identified by strong surface expression of PD1 and Tregs by nuclear expression of FoxP3. CD4+ T-cell infiltration varied by ∼50-fold, and could be diffuse or focal. In 13 cases (57%) the majority of CD4+ T-cells were neither FoxP3+ nor PD1+. Total CD4+ T-cell numbers were positively correlated with FoxP3 (P=0.04) (Figure 1) and with PD1 (P=0.009) (Figure 2) expressing cells suggesting that these subsets were expanded as part of a reaction to the lymphoma capable of stimulating several CD4+ T-cell subsets. High CD4+ (Figure 3) and PD1+ staining predicted good clinical outcome (logrank test, P=0.08) with median survival not being reached at 5 years, but the amount of FoxP3+ staining appeared to be a superior prognostic marker (logrank test, P=0.0069) (Figure 4). There was no association between the cell of origin classification of DLBCL (GCB or ABC) as defined immunohistochemically, and CD4, FoxP3 or PD1 expression. In summary, we have shown that numbers of infiltrating CD4+ T-cells vary between cases of DLBCL and comprises several T-cell subsets including Treg and Tfh cells. No consensus has been reached on the clinical significance of FoxP3+ cell infiltration in DLBCL. Whilst some workers have shown FoxP3 to be associated with a good clinical outcome (Tzankov A., et al. 2008; Lee N., et al. 2008), others have not found a relationship to prognosis (Hasselblom S. et al., 2007). Our data shows that the FoxP3+ Treg cell subset is associated with good clinical outcome but surprisingly we found that both increased total CD4+ T-cells and PD1+ Tfh cells also carry a good prognosis. Disclosures: Wagner: Roche: Honoraria.

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Cd4+ T Cell Subsets during Virus Infection

Journal of Experimental Medicine ◽

10.1084/jem.191.12.2159 ◽

2000 ◽

Vol 191 (12) ◽

pp. 2159-2170 ◽

Cited By ~ 62

Author(s):

Kevin J. Maloy ◽

Christoph Burkhart ◽

Tobias M. Junt ◽

Bernhard Odermatt ◽

Annette Oxenius ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

Virus Infection ◽

Cd4 T Cells ◽

T Cell Subsets ◽

Cd4 T Cell ◽

Delayed Type Hypersensitivity ◽

Protective Capacity ◽

Peripheral Tissues

To analyze the antiviral protective capacities of CD4+ T helper (Th) cell subsets, we used transgenic T cells expressing an I-Ab–restricted T cell receptor specific for an epitope of vesicular stomatitis virus glycoprotein (VSV-G). After polarization into Th1 or Th2 effectors and adoptive transfer into T cell–deficient recipients, protective capacities were assessed after infection with different types of viruses expressing the VSV-G. Both Th1 and Th2 CD4+ T cells could transfer protection against systemic VSV infection, by stimulating the production of neutralizing immunoglobulin G antibodies. However, only Th1 CD4+ T cells were able to mediate protection against infection with recombinant vaccinia virus expressing the VSV-G (Vacc-IND-G). Similarly, only Th1 CD4+ T cells were able to rapidly eradicate Vacc-IND-G from peripheral organs, to mediate delayed-type hypersensitivity responses against VSV-G and to protect against lethal intranasal infection with VSV. Protective capacity correlated with the ability of Th1 CD4+ T cells to rapidly migrate to peripheral inflammatory sites in vivo and to respond to inflammatory chemokines that were induced after virus infection of peripheral tissues. Therefore, the antiviral protective capacity of a given CD4+ T cell is governed by the effector cytokines it produces and by its migratory capability.

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T Cell Metabolism and Memory

Blood ◽

10.1182/blood-2018-99-109535 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. SCI-6-SCI-6

Author(s):

Jeffrey C Rathmell

Keyword(s):

T Cells ◽

T Cell ◽

Glucose Transporter ◽

Cell Metabolism ◽

Effector Function ◽

Glutamine Metabolism ◽

T Cell Subsets ◽

Cd4 T Cell ◽

Th1 Cells ◽

Inflammatory Models

Abstract Lymphocyte activation leads to rapid proliferation and differentiation and we have shown that CD4 T cell subsets are metabolically distinct. These specific metabolic programs may allow new understanding and approaches to manipulate immunity. Using metabolic network analysis of metabolomics and proteomics we defined several metabolic nodes differentially utilized by CD4 T cell subsets, including glutamine metabolism. By genetically deleting the glucose transporter Glut1 or the glutaminolysis enzyme, Glutaminase (GLS), we have shown that glycolysis and glutaminolysis are both used by activated T cells. All effector T cells require glycolysis, but we found that Th17 cells preferentially require GLS while Th1 cells are actively impaired by this enzyme. Thus, inhibition of GLS both reduces Th17 responses and promotes differentiation of Th1 cells and can lead to signs of T cell exhaustion. We show that GLS-deficiency can protect against Th17-mediated inflammatory models and also can augment effector function of Th1 CAR-T cells against B cell targets. Understanding mechanisms that regulate T cell metabolism may provide new tools to modulate immunity the balance of T cell effector populations to both suppress inflammation or promote effector function. Disclosures Rathmell: Calithera: Research Funding.

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CD4+ T cell subsets present stable relationships in their T cell receptor repertoires

10.1101/2020.11.01.364224 ◽

2020 ◽

Author(s):

Shiyu Wang ◽

Longlong Wang ◽

Ya Liu

Keyword(s):

T Cells ◽

Cell Differentiation ◽

T Cell ◽

T Cell Receptor ◽

Cd4 T Cells ◽

Cell Receptor ◽

T Cell Subsets ◽

Cd4 T Cell ◽

Antigen Specificity ◽

Sequence Composition

AbstractCD4+ T cells are key components of adaptive immunity. The cell differentiation equips CD4+ T cells with new functions. However, the effect of cell differentiation on T cell receptor (TCR) repertoire is not investigated. Here, we examined the features of TCR beta (TCRB) repertoire of the top clones within naïve, memory and regular T cell (Treg) subsets: repertoire structure, gene usage, length distribution and sequence composition. First, we found that memory subsets and Treg would be discriminated from naïve by the features of TCRB repertoire. Second, we found that the correlations between the features of memory subsets and naïve were positively related to differentiation levels of memory subsets. Third, we found that public clones presented a reduced proportion and a skewed sequence composition in differentiated subsets. Furthermore, we found that public clones led naïve to recognize a broader spectrum of antigens than other subsets. Our findings suggest that TCRB repertoire of CD4+ T cell subsets is skewed in a differentiation-depended manner. Our findings show that the variations of public clones contribute to these changes. Our findings indicate that the reduce of public clones in differentiation trim the antigen specificity of CD4+ T cells. The study unveils the physiological effect of memory formation and facilitates the selection of proper CD4+ subset for cellular therapy.

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HuR Plays a Positive Role to Strengthen the Signaling Pathways of CD4+ T Cell Activation and Th17 Cell Differentiation

Journal of Immunology Research ◽

10.1155/2021/9937243 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Shiguang Yu ◽

Morgan Tripod ◽

Ulus Atasoy ◽

Jing Chen

Keyword(s):

T Cells ◽

T Cell ◽

Signaling Pathways ◽

T Cell Activation ◽

Cd4 T Cells ◽

Th17 Cell ◽

Th17 Cells ◽

Cell Activation ◽

Cd4 T Cell ◽

Th17 Cell Differentiation

After antigen and/or different cytokine stimulation, CD4+ T cells activated and differentiated into distinct T helper (Th) cells via differential T cell signaling pathways. Transcriptional regulation of the activation and differentiation of naïve CD4+ T cells into distinct lineage Th cells such as Th17 cells has been fully studied. However, the role of RNA-binding protein HuR in the signaling pathways of their activation and differentiation has not been well characterized. Here, we used HuR conditional knockout (HuR KO) CD4+ T cells to study mechanisms underlying HuR regulation of T cell activation and differentiation through distinct signaling pathways. Our work showed that, mechanistically, HuR positively promoted CD3g expression by binding its mRNA and enhanced the expression of downstream adaptor Zap70 and Malt1 in activated CD4+ T cells. Compared to WT Th0 cells, HuR KO Th0 cells with reduced Bcl-2 expression are much more susceptible to apoptosis than WT Th0 cells. We also found that HuR stabilized IL-6Rα mRNA and promoted IL-6Rα protein expression, thereby upregulating its downstream phosphorylation of Jak1 and Stat3 and increased level of phosphorylation of IκBα to facilitate Th17 cell differentiation. However, knockout of HuR increased IL-22 production in Th17 cells, which was due to HuR deficiency in reducing IL-22 transcription repressor c-Maf expression. These results highlight the importance of HuR in TCR signaling and IL-6/IL-6R axis driving naïve CD4+ T cell activation and differentiation into Th17 cells.

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Tuberculosis Antigen-Specific T-Cell Responses During the First 6 Months of Antiretroviral Treatment

The Journal of Infectious Diseases ◽

10.1093/infdis/jiz417 ◽

2019 ◽

Vol 221 (1) ◽

pp. 162-167 ◽

Cited By ~ 3

Author(s):

Catherine Riou ◽

Nishtha Jhilmeet ◽

Molebogeng X Rangaka ◽

Robert J Wilkinson ◽

Katalin A Wilkinson

Keyword(s):

T Cells ◽

T Cell ◽

T Cell Activation ◽

Cd4 T Cells ◽

Antiretroviral Treatment ◽

Cell Activation ◽

T Cell Subsets ◽

Cd4 T Cell ◽

Immune Memory ◽

Tuberculosis Antigen

Abstract The reconstitution of Mycobacterium tuberculosis antigen-specific CD4 T cells in a cohort of HIV-infected persons starting antiretroviral treatment (ART) in a high tuberculosis endemic area is described. Restoration of the antigen-specific CD4 T-cell subsets mirrored the overall CD4 T-cell compartment. Activation (assessed by HLA-DR expression) decreased during ART but remained elevated compared to HIV-uninfected persons. Despite known M. tuberculosis sensitization determined by interferon-γ release assay, 12/23 participants had no M. tuberculosis-specific CD4 T cells detectable by flow cytometry, combined with overall elevated T-cell activation and memory differentiation, suggesting heightened turnover. Our data suggest early ART initiation to maintain polyfunctional immune memory responses.

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