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Grammer, A. C.

Publications and source records attributed to Grammer, A. C..

3 recordsLinked to original sources

Augmented glucose dependency of autoreactive B cells provides a treatment target forlupus

Heightened glycolysis is inherent to immune/inflammatory disorders, but little is known of its role in the pathogenesis of systemic lupus erythematosus (lupus). Here, we profile key autoimmune populations in acute and chronic lupus-prone models and their response to glycolytic inhibition. We demonstrate that glycolysis is specifically required for autoreactive germinal center B cells (GCB), but not for T follicular helper cells (Tfh) to survive. This augmented reliance on glucose oxidation to maintain ATP production in pathogenic GCB renders them highly susceptible to oxidative stress-induced apoptosis triggered by glycolysis blockade via 2-deoxyglucose (2DG). We show that 2DG can preferentially reduce GCB in lupus-prone mice, while sparing other autoreactive populations, including Tfh, but still significantly improving lifespan and kidney function. Furthermore, the subset of GCB expressing B-cell maturation antigen (BCMA) exhibits an exaggerated dependence on glycolysis to sustain their growth. Depletion of these cells with a proliferation-inducing ligand-based CAR T-cells leads to greatly prolonged lifespan of mice with severe autoimmune activation. These results reveal that glycolysis dependent GCB, especially those expressing BCMA, are key lupus mediators and highlight that they can be selectively targeted to improve disease outcomes for lupus patients.

immunology↗

Analysis of Gene Expression from Systemic Lupus Erythematosus Synovium Reveals a Profile of Activated Immune Cells and Inflammatory Pathways

Arthritis is a common manifestation of systemic lupus erythematosus (SLE) yet understanding of the underlying pathogenic mechanisms remains incomplete. We, therefore, interrogated gene expression profiles of SLE synovium to gain insight into the nature of lupus arthritis (LA), using osteoarthritis (OA) and rheumatoid arthritis (RA) as comparators. Knee synovia from SLE, OA, and RA patients were analyzed for differentially expressed genes (DEGs) and also by Weighted Gene Co-expression Network Analysis (WGCNA) to identify modules of highly co-expressed genes. Genes upregulated and/or co-expressed in LA revealed numerous immune/inflammatory cells dominated by a myeloid phenotype, whereas OA was characteristic of fibroblasts and RA of T- and B-cells. Upstream regulator analysis identified CD40L and inflammatory cytokines as drivers of the LA gene expression profile. Genes governing trafficking of immune cells into the synovium by chemokines were identified, but not in situ generation of germinal centers. GSVA confirmed activation of specific myeloid and lymphoid cell types in LA. Numerous therapies were predicted to target LA, including TNF, NF{kappa}B, MAPK, and CDK inhibitors. Detailed gene expression analysis identified a unique pattern of cellular components and physiologic pathways operative in LA, as well as drugs potentially able to target this common manifestation of SLE.

immunology↗

Comprehensive Transcriptomic Analysis of COVID-19 Blood, Lung, and Airway

AbstractSARS-CoV2 is a previously uncharacterized coronavirus and causative agent of the COVID-19 pandemic. The host response to SARS-CoV2 has not yet been fully delineated, hampering a precise approach to therapy. To address this, we carried out a comprehensive analysis of gene expression data from the blood, lung, and airway of COVID-19 patients. Our results indicate that COVID-19 pathogenesis is driven by populations of myeloid-lineage cells with highly inflammatory but distinct transcriptional signatures in each compartment. The relative absence of cytotoxic cells in the lung suggests a model in which delayed clearance of the virus may permit exaggerated myeloid cell activation that contributes to disease pathogenesis by the production of inflammatory mediators. The gene expression profiles also identify potential therapeutic targets that could be modified with available drugs. The data suggest that transcriptomic profiling can provide an understanding of the pathogenesis of COVID-19 in individual patients. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=168 HEIGHT=200 SRC="FIGDIR/small/121889v1_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@7dccedorg.highwire.dtl.DTLVardef@1190e1forg.highwire.dtl.DTLVardef@1ee2e67org.highwire.dtl.DTLVardef@289f72_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗