Tumor-secreted FGF21 acts as an immune suppressor by rewiring cholesterol metabolism of CD8+ T cells
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE236180 | GEO | 2024/06/29
REPOSITORIES: GEO
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Project description:Tumor-secreted FGF21 acts as an immune suppressor by rewiring cholesterol metabolism of CD8+ T cells
| PRJNA989185 | ENA
Project description:To elucidate the signalling network responsible for mediating the effects of FGF21, we quantified the dynamic phosphoproteome of adipocytes following acute exposure to this hormone. A major FGF21-regulated signalling node was mTORC1/S6K. In contrast to insulin, we find that FGF21 activates mTORC1 via MAPK signalling rather than through the canonical PI3K/AKT pathway. This study provides a systems view of FGF21 signalling and reveals a new role for mTORC1 in maintaining nutrient homeostasis.
2016-08-15 | PXD003631 | Pride
Project description:The tumor microenvironment possesses multiple overlapping mechanisms that suppress anti-tumor immunity. Itaconate is a metabolite produced from the Krebs cycle intermediate cis-aconitate by the activity of immune-responsive gene 1 (IRG1). While it is known to be immune modulatory, the role of itaconate in anti-tumor immunity is unclear. Here, we demonstrate that myeloid-derived suppressor cells (MDSCs) secreted itaconate that can be taken up by CD8+ T cells and suppress their proliferation, cytokine production, and cytolytic activity. Metabolite profiling, stable-isotope tracing and metabolite supplementation studies indicated that itaconate suppressed biosynthesis of aspartate and serine/glycine in CD8+ T cells to attenuate their proliferation. Moreover, stromal deletion of IRG1 in mice bearing allografted tumors resulted in decreased tumor growth, inhibited the immune suppressive activities of MDSCs, reduced levels of itaconate in tumors, promoted anti-tumor immunity of CD8+ T cells, and enhanced the anti-tumor activity of anti-PD-1 antibody treatment. Importantly, we found a significant negative correlation between IRG1 expression and response to PD-1 immune checkpoint blockade in melanoma patients. Our findings not only reveal a previously unknown role of itaconate as an immune checkpoint metabolite secreted from MDSCs to suppress CD8+ T cells, but also establish IRG1 as a novel myeloid-selective target in immunometabolism to promote anti-tumor immunity and enhance the efficacy of immune checkpoint protein blockade.
2022-11-15 | GSE190028 | GEO
Project description:TGFb signaling is a major pathway associated with poor clinical outcome in patients with
advanced metastatic cancers and non-response to immune checkpoint blockade, particularly in the immune-excluded tumor phenotype. While previous pre-clinical studies demonstrated that converting tumors from an excluded to an inflamed phenotype and curative anti-tumor immunity require attenuation of both PD-L1 and TGFb signaling, the underlying cellular mechanisms remain unclear. Recent studies suggest that stem cell-like CD8 T cells (TSCL) can differentiate into non-exhausted CD8 T effector cells that drive durable anti-tumor immunity. Here, we show that TGFb and PD-L1 restrain TSCL expansion as well as replacement of progenitor exhausted and dysfunctional CD8 T cells with non-exhausted IFNghi CD8 T effector cells in the tumor microenvironment (TME). Blockade of TGFb and PD-L1 generated IFNghi CD8 T effector cells with enhanced motility, enabling both their accumulation in the TME and increased interaction with other cell types. Ensuing IFNg signaling markedly transformed myeloid, stromal, and tumor niches to yield a broadly immune-supportive ecosystem. Blocking IFNg completely abolished the effect of anti-PD-L1/ TGFb combination therapy. Our data suggest that TGFb works in concert with PD-L1 to prevent TSCL expansion and replacement of exhausted CD8 T cells with fresh CD8
T effector cells, thereby maintaining the CD8 T cell compartment in a dysfunctional state.
2023-06-16 | MSV000092193 | MassIVE
Project description:The mechanistic target of rapamycin (mTOR) pathway integrates diverse environmental inputs, including immune signals and metabolic cues, to direct T cell fate decisions1. Activation of mTOR, comprised of mTORC1 and mTORC2 complexes, delivers an obligatory signal for proper activation and differentiation of effector CD4+ T cells2,3, whereas in the regulatory T cell (Treg) compartment, the Akt-mTOR axis is widely acknowledged as a crucial negative regulator of Treg de novo differentiation4-8 and population expansion9. However, whether mTOR signaling affects the homeostasis and function of Tregs remains largely unexplored. Here we show that mTORC1 signaling is a pivotal positive determinant of Treg function. Tregs have elevated steady-state mTORC1 activity compared to naïve T cells. Signals via T cell receptor (TCR) and IL-2 provide major inputs for mTORC1 activation, which in turn programs suppressive function of Tregs. Disruption of mTORC1 through Treg-specific deletion of the essential component Raptor leads to a profound loss of Treg suppressive activity in vivo and development of a fatal early-onset inflammatory disorder. Mechanistically, Raptor/mTORC1 signaling in Tregs promotes cholesterol/lipid metabolism, with the mevalonate pathway particularly important for coordinating Treg proliferation and upregulation of suppressive molecules CTLA-4 and ICOS to establish Treg functional competency. In contrast, mTORC1 does not directly impact the expression of Foxp3 or anti- and pro-inflammatory cytokines in Tregs, suggesting a non-conventional mechanism for Treg functional regulation. Lastly, we provide evidence that mTORC1 maintains Treg function partly through inhibiting the mTORC2 pathway. Our results demonstrate that mTORC1 acts as a fundamental ‘rheostat’ in Tregs to link immunological signals from TCR and IL-2 to lipogenic pathways and functional fitness, and highlight a central role of metabolic programming of Treg suppressive activity in immune homeostasis and tolerance. We used microarrays to explore the gene expression profiles differentially expressed in regulatory T-cells from wild-type and CD4(cre) x Raptor(fl/fl) mice
2013-06-24 | E-GEOD-46693 | biostudies-arrayexpress
Project description:FGF21 is a novel secreted protein with robust anti-diabetic, anti-obesity, and anti-atherogenic activities in preclinical species. In the current study, we investigated the signal transduction pathways downstream of FGF21 following acute administration of the growth factor to mice. Focusing on adipose tissues, we identified FGF21-mediated downstream signaling events and target engagement biomarkers. Specifically, RNA profiling of adipose tissues and phosphoproteomic profiling of adipocytes, following FGF21 treatment revealed several specific changes in gene expression and post-translational modifications, specifically phosphorylation, in several relevant proteins. Affymetrix microarray analysis of white adipose tissues isolated from both C57BL/6 (fed either regular chow or HFD) and db/db mice identified over 150 robust potential RNA transcripts and over 50 potential secreted proteins that were changed greater than 1.5 fold by FGF21 acutely. Phosphoprofiling analysis identified over 130 phosphoproteins that were modulated greater than 1.5 fold by FGF21 in 3T3-L1 adipocytes. Bioinformatic analysis of the combined gene and phosphoprotein profiling data identified a number of known metabolic pathways such as glucose uptake, insulin receptor signaling, Erk/Mapk signaling cascades, and lipid metabolism. Moreover, a number of novel events with hitherto unknown links to FGF21 signaling were observed at both the transcription and protein phosphorylation levels following treatment. We conclude that such a combined "omics" approach can be used not only to identify robust biomarkers for novel therapeutics but can also enhance our understanding of downstream signaling pathways; in the example presented here, novel FGF21-mediated signaling events in adipose tissue have been revealed that warrant further investigation. Three mouse strains (C57BL6 on chow diet, C57BL6 on high fat diet, and db/db on chow diet) were treated with either vehicle, wild-type FGF21, or pegylated FGF21 acutely or for several days and three white adipose tissues (IWAT, EWAT, RPWAT) and brown adipose tissue (BAT) were profiled on custom Affymetrix microarrays. The primary goal was to identify robust and consistent acute target engagement biomarkers of FGF21 activation in white adipose tissues.
2013-11-18 | E-GEOD-44095 | biostudies-arrayexpress
Project description:Elucidating the mechanisms by which immune cells become dysfunctional in tumors is critical to developing next-generation immunotherapies. We profiled proteomes of cancer cells, monocyte/macrophages, CD4+ and CD8+ T cells, and NK cells isolated from tumors, liver, and blood of 48 patients with hepatocellular carcinoma. We found that tumor macrophages induce the sphingosine-1-phospate-degrading enzyme SGPL1, which dampened their inflammatory phenotype and anti-tumor function in vivo. We further discovered that the signaling scaffold protein AFAP1L2, typically only found in activated NK cells, is also upregulated in chronically stimulated CD8+ T cells in tumors. Ablation of AFAP1L2 in CD8+ T cells increased their viability upon repeated stimulation and enhanced their antitumor activity synergistically with PD-L1 blockade in mouse models. Our data revealed new targets for immunotherapy and provide a resource on immune cell proteomes in liver cancer (www.immunomics.ch/liver).
2023-04-19 | PXD040957 | Pride
Project description:The PI3K/Akt signaling pathway impacts various aspects of CD8 T cell homeostasis, such as effect versus memory cell differentiation, during viral infection. We used microarrays to determine which downstream molecules were affected and what other signaling pathways were interconnected with the Akt pathway by constitutive activation of Akt in LCMV-infected CD8 T cells. Splenocytes from naive P14/WT or P14/Akt mice were stained with anti-CD8 and anti-Ly5.1, and CD8 T cells were sorted using a FACSAria II instrument. Purified Ly5.1+ CD8 T cells from P14/WT or P14/Akt mice were transferred into B6 mice, which were subsequently infected with LCMV Armstrong. At day 8 post infection, splenocytes were stained with anti-CD8, anti-Ly5.1, anti-KLRG1, and anti-CD127. Following staining, short-lived effector cells (SLECs) and memory precursor effector cells (MPECs) were sorted using the FACSAria II instrument; the purity of the sorted cells was >95%. A total of 5 samples were analyzed, including WT naive, WT SLEC, WT MPEC, Akt naive and Akt SLEC.
2012-03-01 | E-GEOD-36168 | biostudies-arrayexpress
Project description:Radiotherapy (RT) destroys tumor cells, which may lead to release of antigens and immune-activating signals. In this way, RT may act as an in situ vaccine and kick-start a T-cell response against the tumor. Immunotherapy enhances tumor-specific T-cell responses. Combination of radiotherapy and immunotherapy (radio-immunotherapy (RIT)) can therefore be expected to synergize in inducing and sustaining systemic anti-tumor T-cell responses. However, in the clinic, systemic combined responses between radiotherapy and immunotherapy are rarely observed, as the effect of RIT combinations on ‘abscopal’ tumors outside the radiotherapy field are not (yet) greater than the effect of immunotherapy alone. In order to define potential bottlenecks in the tumor micro-environment that impede CD8 T cell activity, we harvested irradiated and non-irradiated tumors from the same mice that were treated with RIT (10 Gy RT, anti-CD137 and anti-PD1). From these tumors, effector (CD43+) CD8 T cells, ‘other’ hematopoietic (CD45+) cells and tumor/stromal (CD45-) were sorted and RNA sequencing was performed to identify differences between these cell populations in the irradiated and non-irradiated tumors that could explain the lack of T cell activity in the non-irradiated tumor.
2019-02-12 | E-MTAB-6914 | biostudies-arrayexpress
Project description:This ordinary differential equation model simulating the interactions between tumor and immune cells is detailed in the publication:
Ahmed M. Makhlouf, Lamiaa El-Shennawy, Hesham A. Elkaranshawy, "Mathematical Modelling for the Role of CD4+T Cells in Tumor-Immune Interactions", Comput Math Methods Med. 2020 Feb 19;2020:7187602.
doi: 10.1155/2020/7187602
Comment:
This no treatment model is described by equations 1-7 of the publication manuscript.
Abstract:
Mathematical modelling has been used to study tumor-immune cell interaction. Some models were proposed to examine the effect of circulating lymphocytes, natural killer cells, and CD8+T cells, but they neglected the role of CD4+T cells. Other models were constructed to study the role of CD4+T cells but did not consider the role of other immune cells. In this study, we propose a mathematical model, in the form of a system of nonlinear ordinary differential equations, that predicts the interaction between tumor cells and natural killer cells, CD4+T cells, CD8+T cells, and circulating lymphocytes with or without immunotherapy and/or chemotherapy. This system is stiff, and the Runge–Kutta method failed to solve it. Consequently, the “Adams predictor-corrector” method is used. The results reveal that the patient’s immune system can overcome small tumors; however, if the tumor is large, adoptive therapy with CD4+T cells can be an alternative to both CD8+T cell therapy and cytokines in some cases. Moreover, CD4+T cell therapy could replace chemotherapy depending upon tumor size. Even if a combination of chemotherapy and immunotherapy is necessary, using CD4+T cell therapy can better reduce the dose of the associated chemotherapy compared to using combined CD8+T cells and cytokine therapy. Stability analysis is performed for the studied patients. It has been found that all equilibrium points are unstable, and a condition for preventing tumor recurrence after treatment has been deduced. Finally, a bifurcation analysis is performed to study the effect of varying system parameters on the stability, and bifurcation points are specified. New equilibrium points are created or demolished at some bifurcation points, and stability is changed at some others. Hence, for systems turning to be stable, tumors can be eradicated without the possibility of recurrence. The proposed mathematical model provides a valuable tool for designing patients’ treatment intervention strategies.
2024-09-02 | BIOMD0000001042 | BioModels