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Wood, L. B.

Publications and source records attributed to Wood, L. B..

At least 19 recordsLinked to original sources

Chronic Sleep Disruption Activates the Transcriptional Unfolded Protein Response and Induces Compartment-Specific Proteomic Changes in Mice

Sleep disruption (SD) is associated with adverse brain health and increased risk of dementia, including Alzheimer's disease (AD), yet the pathological mechanisms underlying this association are not fully understood. Preclinical studies have shown that acute SD impairs cognition by altering vulnerable synapses (molecular composition, ultrastructure, and function). However, the cumulative effects of chronic SD on the adult brain and its vulnerable synapses, that might contribute to AD risk, remain poorly defined. Here, we investigated the impact of chronic SD on brain transcriptomic signatures and subcellular compartment-specific proteomic profiles to identify genes, proteins, and signaling pathways that might confer AD risk. Chronic SD induced a modest transcriptional stress response globally, whereas alterations were more pronounced in the synaptosomal (synapse-enriched P2 fractions) and whole-brain proteomes. Remarkably, chronic SD elicited unique proteomic alterations at the synaptic compartment were distinct from whole-brain effects, including increased proteins involved in synaptic vesicle endocytosis, regulation of dendritic spine morphogenesis, and regulation of long-term synaptic depression, compared to increased proteins involved in immune/inflammatory, glial responses and neuronal function at the whole-brain level. Consistent with the chronic SD-induced molecular signatures, we observed subtle ultrastructural changes in vulnerable CA1 hippocampal synapses, including reduced pre-synapse size and decreased synaptic vesicle density, which suggest that chronic SD modifies synaptic transmission and plasticity. Together, our findings indicate that chronic SD differentially impacts the brain and the synaptic proteome, nominating candidate therapeutic targets and signaling pathways for future mechanistic studies of chronic SD and how SD contributes to increased AD risk.

neuroscience↗

Stimulating microglial neuroinflammation with amyloid-beta oligomers compatible with solid-state NMR structural characterization

Soluble amyloid-{beta} (A{beta}) oligomers are considered the primary neurotoxic species in Alzheimer's disease, yet the relationship between oligomer structure and biological activity remains poorly understood. Oligomer sample preparations amenable to high-resolution structural characterization have not been tested in cell-based assays, mostly because detergents used to drive oligomer formation are toxic to cells. Here, we describe a detergent-free protocol in which size-exclusion chromatography-isolated A{beta}42 monomers spontaneously oligomerize at 37 {degrees}C in a concentration- and temperature-dependent manner. Biophysical characterization shows a {beta}-sheet structure by circular dichroism, a self-associating population above 100 kDa by silver-stained SDS-PAGE, and bead-like strings by negative-stain TEM resembling the previously characterized SDS-induced 150 kDa oligomer. Solid-state NMR spectroscopy of selectively 13C/15N-labeled 37 {degrees}C oligomers yields well-resolved spectra with {beta}-strand chemical shifts, and two-dimensional 13C-13C DARR and CHHC experiments provide initial inter-residue distance constraints that reveal both similarities to and differences from the 150 kDa oligomer. Treatment of mouse microglial cells (MMCs) with 50 nM 37 {degrees}C oligomers elicited a robust pro-inflammatory cytokine response that exceeded that of monomeric A{beta}42, as demonstrated by Luminex multiplex profiling and principal component analysis. hiPSC-derived microglia (iMGs) treated with 1 {micro}M oligomers also separated from vehicle, establishing activity in a human cellular model. Monomeric A{beta}42 was inactive in both systems, indicating that inflammatory activity depends on the assembly state of A{beta}42 rather than on the presence of peptide alone. These results establish a detergent-free A{beta}42 oligomer preparation that is simultaneously compatible with solid-state NMR structural characterization and biologically active in neuroinflammation assays, providing a platform for studying microglial immune responses to oligomers.

neuroscience↗

Transcriptomic Profiling of High vs. Low Flow Regions of Mouse and Human Trabecular Meshwork

PurposeAqueous humor outflow through the trabecular meshwork (TM) is segmental, demonstrating high flow (HF) and low flow (LF) regions. Here, we investigate transcriptomic differences between flow regions in naive mouse and non-glaucomatous human TM tissue to better understand intraocular pressure (IOP) regulation. MethodsHuman eyes (<6 hours postmortem) from two donors were perfused with a fluorescent tracer to identify HF and LF regions and fixed. In parallel, one pair of 8-month-old C57Bl/6J mouse eyes were similarly processed. Sagittal sections from HF and LF regions underwent whole-transcriptome spatial profiling. Differential expression and gene set variation analysis were conducted to identify transcript and pathway-level differences between HF vs. LF TM. Selected targets were validated by immunolabeling. ResultsGenes with relevance to TM outflow were identified as significantly differentially expressed in the human dataset, including ADAM metallopeptidase domain 15 (ADAM15), vimentin (VIM), chitinase 3-like 1 (CHI3L1), and several transcription factors (e.g., FOS, JUNB, ESR1). Pathways related to epigenetic modifications were also differentially enriched in human eyes. In both human and mouse eyes, myocilin was significantly upregulated in HF regions, despite greater protein labeling in LF regions of human eyes. In both species, rho-kinase signaling pathways showed increased enrichment in LF regions, while cell stress pathways, and TNF- signaling were increased in HF TM. ConclusionsHF regions maintain a more active stress response that facilitates greater outflow, whereas LF regions exhibit more matrix accumulation and contractility. This characterization of segmental flow regions can inform future studies to target trabecular outflow and lower IOP.

bioengineering↗

Neuronal p38α knockout protects against neurological consequences following repetitive mild traumatic brain injury

Mild traumatic brain injuries (mTBI) can substantially impact quality of life, and repetitive mTBIs (rmTBI) can amplify injury effects compared to a single injury. However, effective clinical treatments remain elusive, largely due to an incomplete understanding of the underlying injury mechanisms. Neuroinflammation has emerged as a key contributor to worse functional outcomes after mTBI/rmTBI. While microglia are traditionally viewed as primary mediators of post-injury inflammation, accumulating evidence suggests neurons play an immunomodulatory role in initiating the rmTBI inflammatory cascade through activation of intracellular proinflammatory pathways like p38 MAPK and secretion of cytokines that, in turn, stimulate microglial activation. Here, we tested whether inducible neuronal p38 knockout protects against functional, immune, and cerebrovascular consequences of a weight-drop closed head injury model of rmTBI. A battery of functional assays was conducted 4 weeks post-injury, and tissues were collected at both 4 hours and 4 weeks following final CHI. In males, neuronal p38 knockout protected against injury-induced depressive-like behavior, hyperactivity, synaptic loss, microglial reactivity, cytokine upregulation, and reduction in cerebral blood flow. In females, neuronal p38 knockout protected against risk-taking behavior and partially protected against cytokine upregulation but had limited effect on microglial reactivity and cerebral blood flow. Together, these findings identify neuronal p38 as a sex-dependent driver of rmTBI-associated neurological consequences, and they support neuronal p38-immune signaling as a mechanistically relevant therapeutic target for future studies.

neuroscience↗

L-DOPA treatment promotes sustained neurovascular and synaptichomeostasis in the diabetic retina

While previous work has shown a sustained protective effect of levodopa (L-DOPA) on retinal function in early-stage diabetic retinopathy (DR) in humans, its underlying biology is unknown. Using noninvasive measures in diabetic mice, we found L-DOPA protects retinal neurovascular function as measured by oscillatory potential timing and flicker-evoked retinal vasodilation, as well as visual behavior, for at least two weeks past treatment end. Assessing changes in retinal gene expression, differentially expressed genes were broadly comparable between diabetic mice experiencing washout of L-DOPA versus continued L-DOPA treatment, with gene co-expression network analysis identifying distinct modules across L-DOPA-treated diabetic mice associated with synaptic function and cytoskeletal organization that correlated with functional protection. Together, these findings demonstrate that L-DOPA restores and sustains retinal neurovascular function in early DR and links this protection to transcriptional programs supporting synapse activity and structural integrity. TeaserL-DOPA restores neuronal and vascular performance in the diabetic retina, with benefits that lasted after treatment stopped.

neuroscience↗

Aβ-42 sidechain deamidation at Q15 and N27 modulate protein aggregation and microglial responses via altered cytokine production and CD68 expression

The progressive aggregation of amyloid beta (A{beta}) monomers into oligomers is a critical factor in Alzheimers disease (AD) pathogenesis. Although mutated forms of A{beta} have been shown to display altered aggregation dynamics, the specific effects of deamidated A{beta} on microglial function remain understudied. Our research group previously found that the deamidated variant A{beta}-42-N27D modified A{beta} aggregation, reduced neurotoxicity, and reduced microglial reactivity, but the impact of A{beta}-42 side chain deamidation in general on such parameters remained unclear. Here, we expanded on our prior work by investigating how two site-specific A{beta}-42 mutations (Q15E & N27D), where neutral amide side chains are replaced with negatively charged carboxylic acids, affect aggregation and microglial immune response using a mouse microglial cell line. Size exclusion chromatography revealed that A{beta}-42-Q15E and A{beta}-42-N27D exhibit distinct aggregation profiles compared to A{beta}-42 wild type (WT). Multiplexed analysis of 8 cytokines secreted into the culture medium revealed that A{beta}-42-Q15E and A{beta}-42-N27D decrease the expression of inflammatory cytokines such as IL-6, IP-10, and MIP-1 relative to A{beta}-42-WT. Immunocytochemistry revealed that A{beta}-42-Q15E and A{beta}-42-N27D decrease CD68 expression relative to A{beta}-42-WT. These findings demonstrate that deamidation significantly alters A{beta}-42 aggregation and microglial activation, suggesting structural modifications to A{beta}-42 modulate inflammatory signaling in AD. This work provides a foundation for future studies on A{beta}-42 post-translational modifications as potential therapeutic targets in AD.S

neuroscience↗

A Feature Learning Model Identifies Predictive Attributes of Mesenchymal Stromal Cell Efficacy

The therapeutic efficacy of human mesenchymal stromal cells (hMSCs) is highly variable, limiting their clinical translation for musculoskeletal diseases and other regenerative medicine applications. There is a poor understanding of the critical quality attributes correlating to therapeutic efficacy of hMSCs. To address this challenge, we analyzed pre-clinical in vitro secretome profiles and in vivo therapeutic efficacy of hMSCs from multiple human donors. hMSCs from different donors showed significant differences between donors in therapeutic efficacy when assessed in a rat post-traumatic osteoarthritis (OA) model. A partial least squares feature learning model was trained to evaluate differences between more and less therapeutic donor hMSCs by examining cytokine secretion profiles, to predict donor-specific therapeutic outcomes. More therapeutic hMSCs exhibited increased secretion of GM-CSF, GRO, IL-4, and PDGF-AA, whereas less therapeutic donors had higher TNF-, IL-6, and MCP-1 secretion. The cytokine profile was accompanied by evaluation of MAPK pathway, which revealed distinct differences in phospho-protein signaling between more and less therapeutic hMSC secretome profiles. Pharmacological inhibition of JNK signaling in more therapeutic donor cells decreased hMSC secretion of the key therapeutic associated cytokines and shifted hMSC secretome towards a less therapeutic profile. Prospective validation of cells from additional donors demonstrated significant correlations between predicted and observed pre-clinical in vivo efficacy to attenuate OA. This approach identifies critical quality attributes enabling consistent prediction of therapeutic potency, thereby addressing a major barrier to scalable and effective cell therapies. These findings advance precision cell-based therapies and offer a framework for standardized donor screening in clinical applications. SummaryA feature learning model was developed, trained, and validated to identify critical quality attributes of MSCs that predict therapeutic potency.

bioengineering↗

Neuroinflammatory Stress Preferentially Impacts Synaptic MAPK Signaling and Mitochondria in Excitatory Neurons

BackgroundUnderstanding synapse-specific effects of neuroinflammation can provide mechanistic and therapeutically relevant insights across the spectrum of neurological diseases. MethodsWe applied neuron-specific proteomic biotinylation in vivo, differential centrifugation of brain for crude synaptosome enrichment (P2 fraction) and mass spectrometry (MS) analysis of biotinylated proteins to derive native-state proteomes of Camk2a-positive neurons and their corresponding P2 synaptic compartments. Next, in an in vivo model of systemic lipopolysaccharide (LPS) dosing, we examined the effects of neuroinflammation on whole neuron and synaptic compartments using a combination of MS, network analysis, confirmatory biochemical and ultrastructural assays and integrative approaches across our mouse-derived and existing human datasets. ResultsUltrastructural and biochemical analyses of P2 fractions verified enrichment in synaptic elements, including synaptic vesicles and mitochondria. MS of biotinylated proteins from Camk2a-specific bulk brain homogenates (whole neuron) and P2 fractions (synaptosome) showed enrichment of >1000 proteins, consistent with neuron-specific biotinylation, also confirmed by immunofluorescence microscopy. Camk2a-specific synaptic proteome revealed molecular signatures related to mitochondrial function, synaptic transmission, protein translation. LPS-treated mice displayed body weight loss and neuroinflammation, characterized by glial activation, increased pro-inflammatory cytokine levels and upregulated expression of Alzheimers disease (AD)-related microglial genes. LPS-induced neuroinflammation exerted distinct effects on the synaptic proteome, including increased mitochondrial and reduced cytoskeletal-synaptic proteins, while suppressed synaptic MAPK signaling. Importantly, these changes were not observed at the whole neuron level, indicating unique vulnerability of the synapse to neuroinflammation. In line with synapse proteomic and signaling changes, LPS altered the ultrastructure of asymmetric synapses, suggesting dysregulation of excitatory neurotransmission. Co-expression network analysis of Camk2a neuronal proteins further resolved mitochondria- and synapse-specific protein modules, some of which were neuroinflammation-dependent. Neuroinflammation increased levels of a mitochondria-enriched module, and decreased levels of a pre-synaptic vesicle module, without impacting a post-synaptic membrane module. LPS-dependent mitochondrial and LPS-independent post-synaptic modules in mouse neurons mapped to post-mortem human AD brain proteomic modules which were decreased in cases with AD dementia and positively correlated to cognitive function, including pro-resilience markers for AD. ConclusionOur findings using native-state proteomics of Camk2a neurons combined with synaptosome enrichment identify proteome-level mechanisms of early synaptic vulnerability to neuroinflammation relevant to AD.

neuroscience↗

Brain Mecp2 Gene Dosage and Gene Therapy Shape Multi-Omic Signatures and Biomarkers in Rett Syndrome

Rett syndrome (RTT) is a neurodevelopmental disorder caused by MECP2 mutations. Like other genetic neurodevelopmental disorders, it lacks protein biomarkers to evaluate disease and therapeutic outcomes. We present a strategy to define putative biomarkers of MeCP2 dysfunction in brain with potential to delineate mechanisms and monitor therapeutic interventions. This strategy relies on a library of proteins responsive to Mecp2 gene dosage and correlated with molecular and clinical outcomes after AAV9-mediated MECP2 gene therapy in Mecp2-KO mice. Gene rescue restored MeCP2 in brain, improved clinical phenotypes, and reverted transcriptome and proteome abnormalities. We identified 327 shared proteins among 1852 cortical and hippocampal proteins responsive to Mecp2/MECP2. Of these, 119 also displayed Mecp2/MECP2-dependent transcript changes. Both the Mecp2-responsive proteome and transcript-protein pairs were enriched in synaptic and metabolic pathways, including central carbon and NAD+ metabolism. We used this therapy-responsive protein library to guide selection of candidate cerebrospinal fluid (CSF) biomarkers in RTT. CSF composition from neurotypical and RTT groups was analyzed using ultrasensitive nucleic acid-based multiplexed ELISA. Twenty-eight proteins were altered in RTT, nine overlapping with Mecp2 dosage- and therapy-sensitive proteins. Multivariate regression linked several candidates to Mecp2/MeCP2 abundance and phenotypic improvement in mice. This paradigm provides a rigorous molecular systems-level framework integrating genetics, preclinical gene therapy, and clinical metrics to define robust cross-species putative biomarkers and possible mechanisms in RTT, with potential applicability to other neurodevelopmental disorders. One Sentence SummaryGenetic Identification of cross-species biomarkers and mechanisms in Rett Syndrome

neuroscience↗

Inhibition of p38 MAPK after repetitive mild TBI ameliorates immune signaling and behavioral deficits

BackgroundMild traumatic brain injury (mTBI) can cause long-term functional impairments, and repetitive mTBIs within a window of vulnerability can exacerbate these consequences compared to a single mTBI. However, current interventions for mTBI focus on alleviating symptoms, rather than targeting underlying mechanisms. Following the initial mechanical impact, increasing evidence suggests that the brain undergoes an inflammatory cascade consisting of pro-inflammatory intracellular signaling pathways and production of cytokines, ultimately leading to chronic neuroinflammation and persistent neurological deficits. Prior work in severe traumatic brain injury has shown that the p38 MAPK signaling pathway is a key regulator of microglial activation, proinflammatory cytokines, and synaptic dysfunction, but its role in the context of mTBI remains unclear. As such, this study aimed to determine if inhibition of p38 MAPK would attenuate the inflammatory response and longer-term functional deficits following a weight-drop mouse model of repetitive mTBI. MethodsC57BL/6J male and female mice were injected with a small molecule p38 MAPK inhibitor (SB239063) after each of 5 once-daily weight-drop closed head injuries (CHIs) or sham injuries. Functional outcome was assessed at 4-weeks post injury. Protein and transcriptional alterations associated with the immune response, synaptic function, microglial phenotype, and functional outcomes were assessed at both 4-hours and 4-weeks after the final CHI. ResultsIn females, acute inhibition of p38 MAPK attenuated i) cytokine expression and microglial reactivity at 4-hours post injury and ii) antidepressive-like behavior and synaptic loss at 4-weeks post injury. In males, p38 MAPK inhibition also attenuated microglial reactivity and up-regulation of specific cytokines, although changes in functional outcomes did not reach significance. Interestingly, bulk RNAseq analysis in both sexes showed that acute p38 MAPK inhibition both normalized the effects of injury and upregulated protective genes and pathways associated with recovery and maintenance of brain homeostasis. Together, these findings suggest a role for p38 MAPK in driving the acute and longer-term consequences post repetitive mTBI in a sex-dependent manner, and they suggest therapeutic potential of p38 MAPK inhibition. To our knowledge, this work is the first to investigate the effects of small molecule inhibitor SB239063 as a potential therapeutic treatment administrated following rmTBI.

molecular biology↗

Aberrant Fibro-Adipogenic Progenitor Subpopulations Drive Volumetric Muscle Loss-Induced Fibrosis

Volumetric muscle loss (VML) injuries result in chronic fibrosis, inflammation, and persistent functional deficits. Fibro-adipogenic progenitor (FAP) cells are a heterogeneous, muscle-resident stromal cell population that play a crucial role in muscle regeneration, but also contribute to fibrosis in muscle disease. The role of FAPs in VML is not well established and may be critical target to ensure functional muscle regeneration after VML. We utilized a VML model in the mouse quadriceps to study the location, secretome, surface marker distribution, gene expression, and single-cell transcriptional profile of FAPs after VML. After VML, a subpopulation of FAPs highly expressed {beta}1-integrin and were elevated in the post-VML muscle tissue; these FAPs had increased fibrotic gene expression and increased myofibroblast differentiation potential. Transforming growth factor-{beta}1 (TGF-{beta}1) and tissue inhibitor of matrix metalloproteinase 1 (TIMP1) were identified as secreted proteins from VML derived FAPs that produced both pro-fibrotic and anti-myogenic signaling. These data establish an aberrant FAP sub-population that are elevated in VML injury and provides novel targets for future scarless muscle regeneration in VML.

pathology↗

Mitochondrially Transcribed dsRNA Mediates Manganese-induced Neuroinflammation

Manganese is an essential trace element required for various biological functions, but in excess is neurotoxic and leads to significant health concerns. The mechanisms underlying manganese neurotoxicity remain poorly understood. Neuropathological studies of affected brain regions reveal astrogliosis, neuronal loss, and neuroinflammation. Here, we present a novel manganese-dependent mechanism linking mitochondrial dysfunction to neuroinflammation. We found that manganese disruption of the mitochondrial transcriptome processing results in the accumulation of double stranded RNA (dsRNA). This dsRNA is released into the cytoplasm, where it activates the cytosolic sensor MDA5, triggering type I interferon responses and inflammatory cytokine production. This mechanism is evident in 100 day human cerebral organoids, where manganese-increased mitochondrial dsRNA and induced inflammatory responses in mature astrocytes. Similarly, we observed an increase in mitochondrial dsRNA content, the activation of an inflammatory transcriptome and the production of cytokines in female and male mouse brains carrying mutations in the Slc30a10 gene, a model for human hypermanganesemia with dystonia 1 disorder. These findings highlight a previously unrecognized role for mitochondrial dsRNA in manganese-induced neuroinflammation and provide insights into the molecular pathogenesis of manganism. We propose that this mitochondrial dsRNA-induced inflammatory pathway could be active in other neurological diseases caused by environmental or genetic factors. Significance StatementEnvironmental exposures and genetic defects that perturb manganese homeostasis are an underappreciated cause of neurodegeneration and neuroinflammation. We describe a new paradigm for inducible neuroinflammation, where manganese disruption of mitochondrial transcriptome processing leads to the accumulation of mitochondrial double-stranded RNA (dsRNA), which activate antiviral responses in the cytoplasm driving type I interferon dependent inflammation. This manganese-dsRNA axis is induced in cell lines in vitro and a subpopulation of mature astrocytes in exposed human cerebral organoids. Brain cortex of mice deficient in the manganese efflux transporter Slc30a10, a genetic model of chronic manganese accumulation, show dsRNA accumulation, and up-regulation of type I interferon response and astrogliosis markers, supporting a role for this pathway in neurotoxicity and parkinsonism.

neuroscience↗

Identification of novel Kv1.3 channel-interacting proteins using proximity labelling in T-cells

Potassium channels regulate membrane potential, calcium flux, cellular activation and effector functions of adaptive and innate immune cells. The voltage-activated Kv1.3 channel is an important regulator of T cell-mediated autoimmunity and microglia-mediated neuroinflammation. Kv1.3 channels, via protein-protein interactions, are localized with key immune proteins and pathways, enabling functional coupling between K+ efflux and immune mechanisms. To gain insights into proteins and pathways that interact with Kv1.3 channels, we applied a proximity-labeling proteomics approach to characterize protein interactors of the Kv1.3 channel in activated T-cells. Biotin ligase TurboID was fused to either N or C termini of Kv1.3, stably expressed in Jurkat T cells and biotinylated proteins in proximity to Kv1.3 were enriched and quantified by mass spectrometry. We identified over 1,800 Kv1.3 interactors including known interactors (beta-integrins, Stat1) although majority were novel. We found that the N-terminus of Kv1.3 preferentially interacts with protein synthesis and protein trafficking machinery, while the C-terminus interacts with immune signaling and cell junction proteins. T- cell Kv1.3 interactors included 335 cell surface, T-cell receptor complex, mitochondrial, calcium and cytokine-mediated signaling pathway and lymphocyte migration proteins. 178 Kv1.3 interactors in T-cells also represent genetic risk factors of T cell-mediated autoimmunity, including STIM1, which was further validated using co-immunoprecipitation. Our studies reveal novel proteins and molecular pathways that interact with Kv1.3 channels in adaptive (T-cell) and innate immune (microglia), providing a foundation for how Kv1.3 channels may regulate immune mechanisms in autoimmune and neurological diseases.

cell biology↗

YAP regulates periosteal expansion in fracture repair

Bone fracture repair initiates by periosteal expansion. The periosteum is typically quiescent, but upon fracture, periosteal cells proliferate and contribute to bone fracture repair. The expansion of the periosteum is regulated by gene transcription; however, the molecular mechanisms behind periosteal expansion are unclear. Here, we show that Yes-Associated Protein (YAP) and transcriptional co-activator with PDZ-binding motif (TAZ) mediate periosteal expansion and periosteal cell proliferation. Bone fracture increases the number of YAP-expressing periosteal cells, and deletion of YAP and TAZ from Osterix (Osx) expressing cells impairs early periosteal expansion. Mechanistically, YAP regulates both cell-intrinsic and cell-extrinsic factors that allow for periosteal expansion. Specifically, we identified Bone Morphogenetic Protein 4 (BMP4) as a cell extrinsic factor regulated by YAP, that rescues the impairment of periosteal expansion upon YAP/TAZ deletion. Together, these data establish YAP mediated transcriptional mechanisms that induce periosteal expansion in the early stages of fracture repair and provide new putative targets for therapeutic interventions.

cell biology↗

Adaptive protein synthesis in genetic models of copper deficiency and childhood neurodegeneration

Rare inherited diseases caused by mutations in the copper transporters SLC31A1 (CTR1) or ATP7A induce copper deficiency in the brain, causing seizures and neurodegeneration in infancy through poorly understood mechanisms. Here, we used multiple model systems to characterize the molecular mechanisms by which neuronal cells respond to copper deficiency. Targeted deletion of CTR1 in neuroblastoma cells produced copper deficiency that was associated with a metabolic shift favoring glycolysis over oxidative phosphorylation. Proteomic and transcriptomic analysis of CTR1 KO cells revealed simultaneous upregulation of mTORC1 and S6K signaling and reduced PERK signaling. Patterns of gene and protein expression and pharmacogenomics show increased activation of the mTORC1-S6K pathway as a pro-survival mechanism, ultimately resulting in increased protein synthesis. Spatial transcriptomic profiling of Atp7aflx/Y :: Vil1Cre/+ mice identified upregulated protein synthesis machinery and mTORC1-S6K pathway genes in copper-deficient Purkinje neurons in the cerebellum. Genetic epistasis experiments in Drosophila demonstrated that copper deficiency dendritic phenotypes in class IV neurons are partially rescued by increased S6k expression or 4E-BP1 (Thor) RNAi, while epidermis phenotypes are exacerbated by Akt, S6k, or raptor RNAi. Overall, we demonstrate that increased mTORC1-S6K pathway activation and protein synthesis is an adaptive mechanism by which neuronal cells respond to copper deficiency. SignificanceO_LICopper deficiency is present in rare conditions such as Menkes disease and CTR1 deficiency and in more common diseases like Alzheimers. The mechanisms of resilience and ultimate susceptibility to copper deficiency and associated pathology in the brain remain unknown. C_LIO_LIWe demonstrate that in a human cell line, Drosophila, and the mouse cerebellum, copper-deficient neuronal cells exhibit increased protein synthesis through mTORC1 activation and decreased PERK (EIF2AK3) activity. C_LIO_LIUpregulation of protein synthesis facilitates resilience of neuronal cells to copper deficiency, including partial restoration of dendritic arborization. Our findings offer a new framework for understanding copper deficiency-related pathology in neurological disorders. C_LI

neuroscience↗

Microglia Morphological Response to Mesenchymal Stromal Cell Extracellular Vesicles Demonstrates EV Therapeutic Potential for Modulating Neuroinflammation

BackgroundMesenchymal stromal cell derived extracellular vesicles (MSC-EVs) are a promising therapeutic for neuroinflammation. MSC-EVs can interact with microglia, the resident immune cells of the brain, to exert their immunomodulatory effects. In response to inflammatory cues, such as cytokines, microglia undergo phenotypic changes indicative of their function e.g. morphology and secretion. However, these changes in response to MSC-EVs are not well understood. Additionally, no disease-relevant screening tools to assess MSC-EV bioactivity exist, which has further impeded clinical translation. Here, we developed a quantitative, high throughput morphological profiling approach to assess the response of microglia to neuroinflammation-relevant signals and whether this morphological response can be used to indicate the bioactivity of MSC-EVs. ResultsUsing an immortalized human microglia cell-line, we observed increased size (perimeter, major axis length) and complexity (form factor) upon stimulation with interferon-gamma (IFN-{gamma}) and tumor necrosis factor-alpha (TNF-). Upon treatment with MSC-EVs, the overall morphological score (determined using principal component analysis) shifted towards the unstimulated morphology, indicating that MSC-EVs are bioactive and modulate microglia. The morphological effects of MSC-EVs in TNF-{gamma}/IFN- stimulated cells were concomitant with reduced secretion of 14 chemokines/cytokines (e.g. CXCL6, CXCL9) and increased secretion of 12 chemokines/cytokines (e.g. CXCL8, CXCL10). Proteomic analysis of cell lysates revealed significant increases in 192 proteins (e.g. HIBADH, MEAK7, LAMC1) and decreases in 257 proteins (e.g. PTEN, TOM1, MFF) with MSC-EV treatment. Of note, many of these proteins are involved in regulation of cell morphology and migration. Gene Set Variation Analysis revealed upregulation of pathways associated with immune response, such as regulation of cytokine production, immune cell infiltration (e.g. T cells, NK cells) and morphological changes (e.g. Semaphorin, RHO/Rac signaling). Additionally, changes in microglia mitochondrial morphology were measured suggesting that MSC-EV modulate mitochondrial metabolism. ConclusionThis study comprehensively demonstrates the effects of MSC-EVs on human microglial morphology, cytokine secretion, cellular proteome, and mitochondrial content. Our high-throughput, rapid, low-cost morphological approach enables screening of MSC-EV batches and manufacturing conditions to enhance EV function and mitigate EV functional heterogeneity in a disease relevant manner. This approach is highly generalizable and can be further adapted and refined based on selection of the disease-relevant signal, target cell, and therapeutic product.

bioengineering↗

Frequency and duration of sensory flicker controls astrocyte and neuron specific transcriptional profiles in 5xFAD mice

BackgroundCurrent clinical trials are investigating gamma frequency sensory stimulation as a potential therapeutic strategy for Alzheimers disease, yet we lack a comprehensive picture of the effects of this stimulation on multiple aspects of brain function. While most prior research has focused on gamma frequency sensory stimulation, we previously showed that exposing mice to visual flickering stimulation increased MAPK and NF{kappa}B signaling in the visual cortex in a manner dependent on duration and frequency of sensory stimulation exposure. Because these pathways control multiple neuronal and glial functions and are differentially activated based on the duration and frequency of flicker stimulation, we aimed to define the transcriptional effects of different frequencies and durations of flicker stimulation on multiple brain functions. MethodsWe exposed 5xFAD mice to different frequencies of audio/visual flicker stimulation (constant light, 10Hz, 20Hz, 40Hz) for durations of 0.5hr, 1hr, or 4hr, then used bulk RNAseq to profile transcriptional changes within the visual cortex and hippocampus tissues. Using weighted gene co-expression network analysis, we identified modules of co-expressed genes controlled by frequency and/or duration of stimulation. ResultsWithin the visual cortex, we found that all stimulation frequencies caused fast activation of a module of immune genes within 1hr and slower suppression of synaptic genes after 4hrs of stimulation. Interestingly, all frequencies of stimulation led to slow suppression of astrocyte specific gene sets, while activation of neuronal gene sets was frequency and duration specific. In contrast, in the hippocampus, immune and synaptic modules were suppressed based on the frequency of stimulation. Specifically,10Hz activated a module of genes associated with mitochondrial function, metabolism, and synaptic translation while 10Hz rapidly suppressed a module of genes linked to neurotransmitter activity. ConclusionCollectively, our data indicate that the frequency and duration of flicker stimulation controls immune, neuronal, and metabolic genes in multiple regions of the brain affected by Alzheimers disease. Flicker stimulation may thus represent a potential therapeutic strategy that can be tuned based on the brain region and the specific cellular process to be modulated.

systems biology↗

Proximity labeling proteomics reveals Kv1.3 potassium channel immune interactors in microglia.

Microglia are the resident immune cells of the brain and regulate the brains inflammatory state. In neurodegenerative diseases, microglia transition from a homeostatic state to a state referred to as disease associated microglia (DAM). DAM express higher levels of proinflammatory signaling, like STAT1 and TLR2, and show transitions in mitochondrial activity toward a more glycolytic response. Inhibition of Kv1.3 decreases the proinflammatory signature of DAM, though how Kv1.3 influences the response is unknown. Our goal was to establish the potential proteins interacting with Kv1.3 during the TLR4-mendiated transition to DAM. We utilized TurboID, a biotin ligase, fused to Kv1.3 to evaluate the potential interacting proteins with Kv1.3 via mass spectrometry in BV-2 microglia during an immune response. Electrophysiology, western blots, and flow cytometry were used to evaluate Kv1.3 channel presence and TurboID biotinylation activity. We hypothesized that Kv1.3 contains domain-specific interactors that vary during an TLR4-induced inflammatory response, some of which are dependent on the PDZ-binding domain on the C-terminus. We determined that the N-terminus of Kv1.3 is responsible for trafficking Kv1.3 to the cell surface and mitochondria (e.g. NUNDC, TIMM50). The C-terminus interacts with immune signaling proteins in an LPS-induced inflammatory response (e.g. STAT1, TLR2, and C3). There are 70 proteins that rely on the c-terminal PDZ-binding domain to interact with Kv1.3 (i.e. ND3, Snx3, and Sun1). Overall, we highlight that the Kv1.3 potassium channel functions beyond outward flux of potassium in an inflammatory context and contributes to activity of key immune signaling proteins, such as STAT1 and C3. MAIN POINTSKv1.3 channels are highly abundant in pro-inflammatory microglia in neurological diseases. Kv1.3 channels may regulate microglial functions by interacting with other proteins via its N and C terminal domains. Using proximity-based proteomics, we identified several novel proteins that interact with the N and C terminus of Kv1.3 channels, some of which are domain-specific. Kv1.3 channels in microglia interact with many immune signaling proteins, including Tlr2, Stat1 and integrins. Under homeostatic conditions, the N-terminus of Kv1.3 interacts with proteins involved in protein trafficking, to the cell surface and mitochondria. The PDZ-binding region was an important determinant of the C terminal interactome. During an LPS-induced inflammatory response, the C-terminus of Kv1.3 uniquely interacts with immune and signaling proteins of disease relevance, including STAT1

neuroscience↗