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Microglia and astrocytes modulate inflammation and neurodegeneration in the central nervous system (CNS) 1 – 3 . Microglia modulate pro-inflammatory and neurotoxic activities in astrocytes, but the mechanisms involved are not completely understood 4 , 5 . Here we report that TGFα and VEGF-B produced by microglia regulate the pathogenic activities of astrocytes in the experimental autoimmune encephalomyelitis (EAE) mouse model of multiple sclerosis. Microglia-derived TGFα acts via the ErbB1 receptor in astrocytes to limit their pathogenic activities and EAE development. Conversely, microglial VEGF-B triggers FLT-1 signalling in astrocytes and worsens EAE. VEGF-B and TGFα also participate in the microglial control of human astrocytes. Furthermore, expression of TGFα and VEGF-B in CD14 + cells correlates with the multiple sclerosis lesion stage. Finally, metabolites of dietary tryptophan produced by the commensal flora control microglial activation and TGFα and VEGF-B production, modulating the transcriptional program of astrocytes and CNS inflammation through a mechanism mediated by the aryl hydrocarbon receptor. In summary, we identified positive and negative regulators that mediate the microglial control of astrocytes. Moreover, these findings define a pathway through which microbial metabolites limit pathogenic activities of microglia and astrocytes, and suppress CNS inflammation. This pathway may guide new therapies for multiple sclerosis and other neurological disorders. TGFα and VEGF-B produced by microglia regulate astrocyte function in the experimental autoimmune encephalomyelitis model of multiple sclerosis.

Multiple sclerosis is a chronic inflammatory disease of the CNS 1 . Astrocytes contribute to the pathogenesis of multiple sclerosis 2 , but little is known about the heterogeneity of astrocytes and its regulation. Here we report the analysis of astrocytes in multiple sclerosis and its preclinical model experimental autoimmune encephalomyelitis (EAE) by single-cell RNA sequencing in combination with cell-specific Ribotag RNA profiling, assay for transposase-accessible chromatin with sequencing (ATAC–seq), chromatin immunoprecipitation with sequencing (ChIP–seq), genome-wide analysis of DNA methylation and in vivo CRISPR–Cas9-based genetic perturbations. We identified astrocytes in EAE and multiple sclerosis that were characterized by decreased expression of NRF2 and increased expression of MAFG, which cooperates with MAT2α to promote DNA methylation and represses antioxidant and anti-inflammatory transcriptional programs. Granulocyte–macrophage colony-stimulating factor (GM-CSF) signalling in astrocytes drives the expression of MAFG and MAT2α and pro-inflammatory transcriptional modules, contributing to CNS pathology in EAE and, potentially, multiple sclerosis. Our results identify candidate therapeutic targets in multiple sclerosis. Single-cell RNA sequencing of cells from humans with multiple sclerosis and mice with a model of the disease identifies a population of disease-promoting astrocytes in which anti-oxidant and anti-inflammatory proteins are suppressed.

Tumor-associated macrophages (TAMs) play an important role in the immune response to cancer, but the mechanisms by which the tumor microenvironment controls TAMs and T cell immunity are not completely understood. Here we report that kynurenine produced by glioblastoma cells activates aryl hydrocarbon receptor (AHR) in TAMs to modulate their function and T cell immunity. AHR promotes CCR2 expression, driving TAM recruitment in response to CCL2. AHR also drives the expression of KLF4 and suppresses NF-κB activation in TAMs. Finally, AHR drives the expression of the ectonucleotidase CD39 in TAMs, which promotes CD8+ T cell dysfunction by producing adenosine in cooperation with CD73. In humans, the expression of AHR and CD39 was highest in grade 4 glioma, and high AHR expression was associated with poor prognosis. In summary, AHR and CD39 expressed in TAMs participate in the regulation of the immune response in glioblastoma and constitute potential targets for immunotherapy.Using animal models and clinical samples, the authors report that glioblastoma metabolites activate the transcription factor aryl hydrocarbon receptor in tumor-associated macrophages to modulate their function and T cell immunity, promoting tumor growth.

Multiple sclerosis (MS) is an autoimmune inflammatory demyelinating disease of the CNS that causes disability in young adults as a result of the irreversible accumulation of neurological deficits. Although there are potent disease-modifying agents for its initial relapsing-remitting phase, these therapies show limited efficacy in secondary progressive MS (SPMS). Thus, there is an unmet clinical need for the identification of disease mechanisms and potential therapeutic approaches for SPMS. Here, we show that the sphingosine 1-phosphate receptor (S1PR) modulator fingolimod (FTY720) ameliorated chronic progressive experimental autoimmune encephalomyelitis in nonobese diabetic mice, an experimental model that resembles several aspects of SPMS, including neurodegeneration and disease progression driven by the innate immune response in the CNS. Indeed, S1PR modulation by FTY720 in murine and human astrocytes suppressed neurodegeneration-promoting mechanisms mediated by astrocytes, microglia, and CNS-infiltrating proinflammatory monocytes. Genome-wide studies showed that FTY720 suppresses transcriptional programs associated with the promotion of disease progression by astrocytes. The study of the molecular mechanisms controlling these transcriptional modules may open new avenues for the development of therapeutic strategies for progressive MS.

Access to experimental X-ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. Here, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG; data.sbgrid.org), to preserve primary experimental data sets that support scientific publications. Data sets are accessible to researchers through a community driven data grid, which facilitates global data access. Our analysis of a pilot collection of crystallographic data sets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of the original published structures. SBDG has extended its services to the entire community and is used to develop support for other types of biomedical data sets. It is anticipated that access to the experimental data sets will enhance the paradigm shift in the community towards a much more dynamic body of continuously improving data analysis. The validation and analysis of X-ray crystallographic data is essential for reproducibility and the development of crystallographic methods. Here, the authors describe a repository for crystallographic datasets and demonstrate some of the ways it could serve the crystallographic community.

We have previously reported the molecular signature of murine pathogenic T H 17 cells that induce experimental autoimmune encephalomyelitis (EAE) in animals. Here we show that human peripheral blood IFN-γ + IL-17 + (T H 1/17) and IFN-γ − IL-17 + (T H 17) CD4 + T cells display distinct transcriptional profiles in high-throughput transcription analyses. Compared to T H 17 cells, T H 1/17 cells have gene signatures with marked similarity to mouse pathogenic T H 17 cells. Assessing 15 representative signature genes in patients with multiple sclerosis, we find that T H 1/17 cells have elevated expression of CXCR3 and reduced expression of IFNG , CCL3 , CLL4 , GZMB , and IL10 compared to healthy controls. Moreover, higher expression of IL10 in T H 17 cells is found in clinically stable vs. active patients. Our results define the molecular signature of human pro-inflammatory T H 17 cells, which can be used to both identify pathogenic T H 17 cells and to measure the effect of treatment on T H 17 cells in human autoimmune diseases. CD4 + T cells secreting interleukin-17 (T H 17) have diverse functions in modulating autoimmune diseases. Here the authors show via transcriptome analyses that a subset of human T H 17 co-expressing interferon-γ (T H 1/17) has a molecular signature similar to “pathogenic” mouse T H 17 but distinct from “non-pathogenic” mouse T H 17.

IL-17–producing Th17 cells are implicated in the pathogenesis of rheumatoid arthritis (RA) and TNF-α, a proinflammatory cytokine in the rheumatoid joint, facilitates Th17 differentiation. Anti-TNF therapy ameliorates disease in many patients with rheumatoid arthritis (RA). However, a significant proportion of patients do not respond to this therapy. The impact of anti-TNF therapy on Th17 responses in RA is not well understood. We conducted high-throughput gene expression analysis of Th17-enriched CCR6⁺CXCR3⁻CD45RA⁻ CD4⁺ T (CCR6⁺ T) cells isolated from anti-TNF–treated RA patients classified as responders or nonresponders to therapy. CCR6⁺ T cells from responders and nonresponders had distinct gene expression profiles. Proinflammatory signaling was elevated in the CCR6⁺ T cells of nonresponders, and pathogenic Th17 signature genes were up-regulated in these cells. Gene set enrichment analysis on these signature genes identified transcription factor USF2 as their upstream regulator, which was also increased in nonresponders. Importantly, short hairpin RNA targeting USF2 in pathogenic Th17 cells led to reduced expression of proinflammatory cytokines IL-17A, IFN-γ, IL-22, and granulocyte-macrophage colony-stimulating factor (GM-CSF) as well as transcription factor T-bet. Together, our results revealed inadequate suppression of Th17 responses by anti-TNF in nonresponders, and direct targeting of the USF2-signaling pathway may be a potential therapeutic approach in the anti-TNF refractory RA.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

In the version of this article initially published, author Alexandre Prat’s surname was misspelled. The error has been corrected in the HTML and PDF versions of the article.

BackgroundGEN-009, a personalized vaccine candidate comprised of ATLAS™-prioritized neoantigens combined with Hiltonol®, is currently being evaluated in a Phase 1/2a clinical trial (NCT03633110). ATLAS™ is a cell-based recall assay that, without predictions, screens each patient‘s mutanome to identify neoantigens for vaccine inclusion and deleterious Inhibigens™ for exclusion. In the Part A monotherapy cohort, vaccine-specific immune responses were generated in all subjects, against 99% of administered peptides.1 Here we characterize immune responses and their association with reduction in tumors in Part B of the study, in which patients were treated with GEN-009 combined with anti-PD-1-based checkpoint inhibitors (CPI).MethodsFourteen adults with solid tumors were enrolled in the study. During the screening and manufacturing period, patients received standard of care anti-PD-1 CPI. Subsequently, patients were immunized with GEN-009 in combination with anti-PD-1. CPI refractory patients received salvage therapy prior to GEN-009. Peripheral blood mononuclear cells were collected at baseline, pre-vaccination (D1), as well as multiple days post first dose. The magnitude and durability of vaccine-induced immune responses were assessed by quantifying neoantigen-specific responses in fluorospot assays. Proliferation of neoantigen-specific T cells and T cell phenotypes were evaluated by flow cytometry. Circulating tumor DNA (ctDNA) levels were monitored pre- and post-GEN-009 dosing to assess its potential as a predictive biomarker.ResultsGEN-009 immunization induced neoantigen-specific T cell responses in all evaluable patients, with ex vivo responses emerging as early as 1 month and persisting up to 366 days in some subjects. Comparing RECIST responders (PR, CR) to non-responders (SD, PD), the median breadth of statistically positive responses to vaccine antigens at day 50 was greater in non-responders ex vivo (29 vs. 75%, respectively), however, by IVS assay the proportions inverted (83% vs. 38%). Longitudinal evaluation of neoantigen-specific responses revealed an association between the magnitude and kinetics of cytokine secretion and increased activated and proliferating Ki-67+ T cells and TEM cells in both T cell subsets. Quantification of ctDNA in a subset of patients supported the RECIST readouts in association with the enhanced neoantigen-specific T cell responses.ConclusionsVaccination with GEN-009 combined with anti-PD-1-based therapy induced early, durable, and neoantigen-specific CD4+ and CD8+ T cell responses with pronounced Ki-67+ and TEM cell populations. Overall, a greater breadth of response to vaccine neoantigens was associated with improved clinical benefit, which was further supported by ctDNA levels. These data support that GEN-009, in combination with checkpoint blockade, represents a unique approach to treat solid tumors.ReferencesLam H, et al. An empirical antigen selection method identifies neoantigens that either elicit broad anti-tumor response or drive tumor growth. Cancer Discovery 2021 March; 11(3):696–713.Ethics ApprovalETHICS STATEMENTThis study was approved by Western Institutional Review Board, approval number 1-1078861-1