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Wagner, D. D.

Publications and source records attributed to Wagner, D. D..

4 recordsLinked to original sources

MDA5 multimerization on LINE RNA drives pathogenic extracellular immune complexes in autoimmunity

Autoantibodies are hallmarks of many autoimmune diseases, but their potential pathogenic roles, particularly for those targeting intracellular proteins, remain unclear. Anti-MDA5-positive dermatomyositis (anti-MDA5 DM) is characterized by autoantibodies against the intracellular protein MDA51,2, a conserved innate immune receptor that recognizes viral dsRNA by forming filaments3. Here, using four patient-derived monoclonal autoantibodies (mAbs), we reconstitute and define the molecular architecture, biogenesis, and immunological activity of pathogenic MDA5 immune complexes. Our cryo-EM analysis revealed that these mAbs bind dsRNA-scaffolded MDA5 filaments in at least two distinct binding modes, each exhibiting striking epitope convergence using germline-encoded residues. Extracellular immune complexes formed between mAbs and filamentous, but not monomeric, MDA5 potently activate multiple innate immune pathways, with the magnitude of activation determined by antibody binding mode and immune complex stoichiometry. Antibody bivalency further crosslinks MDA5 filaments into higher-order aggregates with heightened immunostimulatory activity, demonstrating an active role of autoantibodies in shaping immune complex architecture. Analysis of patient plasma reveals elevated levels of extracellular MDA5 filaments and identifies LINE retroelement-derived dsRNA as a structural scaffold. Notably, MDA5 immune complexes induce endogenous LINE dsRNA expression, likely promoting additional MDA5 filament formation and extracellular release through inflammatory cell death. These data thus support a self-amplifying inflammatory cycle as a pathogenic mechanism for anti-MDA5 DM. Collectively, our study defines a broadly applicable architectural principle, in which higher-order organization and binding modes of autoantibodies--beyond antibody affinity or nucleic acid presence alone--govern innate immune activation.

biochemistry↗

A GPVI-platelet-neutrophil-NET axis drives systemic sclerosis

Systemic sclerosis (SSc) is immune-mediate inflammatory disease characterized by progressive tissue fibrosis. We observed that circulating neutrophils from patients with diffuse SSc exhibit an activated phenotype, a finding echoed in blood and skin transcriptomes. Neutrophil depletion abrogated experimental SSc induced by cutaneous injection of hypochlorous acid (HOCl) or bleomycin (BLM), and adoptive transfer of HOCl and BLM neutrophils induced skin and lung fibrosis in healthy mice, establishing neutrophils as necessary and sufficient for fibrosis. We noted that SSc patients exhibited platelet activation, a phenotype that preceded neutrophil activation in mice, suggesting an upstream role. Indeed, platelet depletion abrogated neutrophil activation and tissue fibrosis, and exposure to HOCl or BLM platelets conferred upon wild-type neutrophils the capacity to induce skin and lung fibrosis via neutrophil extracellular traps (NETs). Genetic and therapeutic blockade of the platelet collagen receptor GPVI attenuated platelet and neutrophil activation, reduced circulating NETs, and protected animals from skin and lung fibrosis. These findings identify the GPVI-platelet-neutrophil-NET as a new source of therapeutic targets in SSc.

immunology↗

NETosis proceeds by cytoskeleton and endomembrane disassembly and PAD4-mediated chromatin de-condensation and nuclear envelope rupture

Neutrophil extracellular traps (NETs) are web-like DNA structures decorated with histones and cytotoxic proteins that are released by activated neutrophils to trap and neutralize pathogens during the innate immune response, but also form in and exacerbate sterile inflammation. Peptidylarginine deiminase 4 (PAD4) citrullinates histones and is required for NET formation (NETosis) in mouse neutrophils. While the in vivo impact of NETs is accumulating, the cellular events driving NETosis and the role of PAD4 in these events are unclear. We performed high resolution time-lapse microscopy of mouse and human neutrophils (PMN) and differentiated HL-60 neutrophil-like cells (dHL-60) labelled with fluorescent markers of organelles and stimulated with ionomycin or lipopolysaccharides to induce NETosis. Upon stimulation, cells exhibited rapid disassembly of the actin cytoskeleton, followed by shedding of plasma membrane microvesicles, disassembly and remodeling of the microtubule and vimentin cytoskeletons, ER vesiculation, chromatin de-condensation and nuclear rounding, progressive plasma membrane and nuclear envelope (NE) permeabilization, nuclear lamin meshwork and then NE rupture to release DNA into the cytoplasm, and finally plasma membrane rupture and discharge of extracellular DNA. Inhibition of actin disassembly blocked NET release. Mouse and dHL-60 cells bearing genetic alteration of PAD4 showed that chromatin de-condensation, lamin meshwork and NE rupture and extracellular DNA release required the enzymatic and nuclear localization activities of PAD4. Thus, NETosis proceeds by a step-wise sequence of cellular events culminating in the PAD4-mediated expulsion of DNA.\n\nSignificance StatementNeutrophils are white blood cells specialized as the first line of host defense in the immune system. One way they protect organisms is through NETosis, in which they expel their DNA to form a web-like trap that ensnares pathogens and promotes clotting. However, NETs also mediate sterile inflammation, causing damage to the body. We used high-resolution live-cell microscopy to perform the first systematic characterization of the timing of dynamic cellular events leading to NETosis in human and mouse neutrophils and a neutrophil-like cell line. We discovered that NETosis proceeds by a step-wise sequence of cellular events that is conserved across species, and requires the activity of the PAD4 enzyme for DNA to be released from the nucleus and cell membrane.

immunology↗

Mass univariate testing biases the detection of interaction effects in whole-brain analysis of variance.

Whole-brain analysis of variance (ANOVA) is a common analytic approach in cognitive neuroscience. Researchers are often interested in exploring whether brain activity reflects to the interaction of two factors. Disordinal interactions -- where there is a reversal of the effect of one independent variable at a level of a second independent variable -- are common in the literature. It is well established in power-analyses of factorial ANOVAs that certain patterns of interactions, such as disordinal (e.g., cross-over interactions) require less power than others to detect. This fact, combined with the perils of mass univariate testing suggests that testing for interactions in whole-brain ANOVAs, may be biased towards the detection of disordinal interactions. Here, we report on a series of simulated analysis --including whole-brain fMRI data using realistic multi-source noise parameters-- that demonstrate a bias towards the detection of disordinal interactions in mass-univariate contexts. Moreover, results of these simulations indicated that spurious disordinal interactions are found at common thresholds and cluster sizes at the group level. Moreover, simulations based on implanting true ordinal interaction effects can nevertheless appear like crossover effects at realistic levels of signal-to-noise ratio (SNR) when performing mass univariate testing at the whole-brain level, potentially leading to erroneous conclusions when interpreted as is. Simulations of varying sample sizes and SNR levels show that this bias is driven primarily by SNR and larger sample sizes do little to ameliorate this issue. Together, the results of these simulations argue for caution when searching for ordinal interactions in whole-brain ANOVA.

neuroscience↗