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Multiomic profiling reveals pericyte and smooth muscle cell contributions to CADASIL pathology in cell-specific Notch3 mutant mice

Cerebral ischemic small vessel disease (SVD) is the leading cause of vascular dementia and a major contributor to stroke. Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common monogenic form of familial SVD. CADASIL is caused by dominant missense mutations in Notch3, a receptor expressed in mural cells, including smooth muscle cells (SMCs) and pericytes. However, the cell-type specific contributions driving the CADASIL pathology remain unknown due to lack of animal models. Here, we generated two conditional knock-in mouse models carrying the CADASIL-causing Notch3R170C mutation selectively in SMC and brain pericytes. Both Notch3R170Cmodels showed perivascular accumulation of the NOTCH3 extracellular domain, yet developed distinct neurovascular changes depending on the affected cell type. Pericyte-specific Notch3R170C mice displayed pronounced region-selective microglial activation and vascular changes, whereas SMC-specific Notch3R170C mice showed localized perivascular gliosis with minimal vascular remodeling. Proteomic profiling of isolated brain vessels revealed largely unique cell-specific responses. Pericytes Notch3R170C expression dysregulated metabolic pathways, whereas SMC Notch3R170C expression induced immune signaling related pathways. Integration with single-cell RNA-seq data revealed that many of the proteomic and phosphoproteomic shifts might also include brain endothelial cells, including metabolic changes in the presence of pericyte Notch3R170C and inflammatory signaling in the presence of SMC-Notch3R170C. Together, these findings define mural cell-specific mechanisms that contribute to the CADASIL-associated vascular pathology.

neuroscience↗

Integrative Spatial Omics for Systems-Level Mapping of Pathological Niches

Spatial omics technologies are a powerful tool for mapping the relationship between cellular organization and molecular distributions in healthy and diseased tissue microenvironments. Here, we describe a novel multimodal pipeline that represents experimental and computational advances for spatiomolecular analysis of tissue samples across molecular classes. This adaptable method integrates matrix-assisted laser desorption/ionization imaging mass spectrometry spatial lipidomics, spatial transcriptomics, protein imaging via multiplexed immunofluorescence microscopy, and histopathological staining to uncover spatiomolecular profiles associated with unique cellular niches and pathological features. We demonstrate the power of this approach using two different complex human disease systems: Alzheimers disease in human brain tissue and type 2 diabetes mellitus in the human pancreas. This work establishes and demonstrates a generalizable framework for multimodal spatial integration, enabling precise mapping of molecular mechanisms that underlie complex tissue pathologies.

systems biology↗

Early synaptic pathology is associated with small tau aggregates in Alzheimer's disease

Alzheimers disease (AD) is phenotypically characterised by progressive memory loss, which involves tau aggregation and synaptic pathology. Here we characterised the tau aggregates in individual synaptosomes from AD cases and controls measuring their number and size using single molecule fluorescence microscopy. A total of 7,888 synaptosomes from pre-frontal cortex samples were studied, showing the presence of AT8-positive tau aggregates in a small fraction of synaptosomes ([~]3%) from control brains, reaching [~]20% by Braak stage 6 with more larger aggregates. We then investigated the multi-phosphorylation of synaptic tau aggregates for AT8 and T181 and quantified the co-localisation of phosphatidylserine and CD47, synaptic "eat me" and "dont eat me" signals respectively, along with synaptogyrin-3, which contributes to tau mediated synaptic dysfunction. T181, phosphatidylserine, and synaptogyrin-3 co-localisation with AT8-positive tau were increased during stage 3 and CD47 was decreased, indicating early synaptic pathology is associated with the formation of small tau aggregates, contributing to microglia-driven synaptic loss.

neuroscience↗

Brain injury contributes to dopaminergic neurodegeneration, Lewy body pathology, and Parkinsonism preclinically with outcomes altered by T cell modulation

Traumatic brain injury (TBI) increases the risk of Parkinsons disease (PD) development later in life, but much remains unknown regarding the mechanisms driving this relationship. A single, mild brain injury triggers resident and peripheral neuroinflammatory pathways that are similarly activated in PD patients, which could possibly increase susceptibility to neurodegeneration. In this study, we used preclinical mouse models of mild TBI (mTBI) and PD to evaluate how injury-induced immune signaling may exacerbate PD-associated pathologies. Dopaminergic (DA) neurons showed upregulation of genes associated with neuroinflammation, adaptive immunity, and PD following mTBI. mTBI caused degeneration of DA neurons in the substantia nigra (SN) and increased the spread of Lewy body (LB) pathology to other brain regions, such as the ipsilateral cortex, in a preclinical model of PD. Reducing adaptive immune infiltration into the central nervous system (CNS) with a transgenic model lacking mature lymphocytes, or directly by in vivo depletion of T cells or B cells individually, improved neurodegenerative outcomes of DA neurons following brain injury. Our results indicate the possibility of a sustained, chronic peripheral immune cell infiltration which negatively affects both DA neurons and alpha synuclein (-syn) fibril propagation, providing insight on therapeutic windows to reduce DA neuron vulnerability.

neuroscience↗

An angiopoietin-2 vaccine improves arteriovenous malformation pathology in hereditary hemorrhagic telangiectasia mice

Hereditary hemorrhagic telangiectasia (HHT) is a genetic vascular disorder that causes systemic arteriovenous malformations (AVMs) associated with severe complications. Angiopoietin (ANG)-2 has been identified as a consistently upregulated secreted protein across various HHT models, and neutralizing ANG2 reduces AVMs in mice. ANG2 has thus emerged as a potential target for HHT treatment. Here, we report the development of a peptide vaccine (ANG2-P3:CRM197) that selectively targets ANG2 over ANG1 and tested its effectiveness in decreasing retinal AVMs in neonatal mice injected with BMP9/10 blocking antibodies, a model of HHT. Litter groups from female C57BL/6 mice immunized with ANG2-P3:CRM197 received injections of anti-BMP9/10 antibodies, and their retinas were examined for vascular pathology. The potential toxicity of the vaccine was evaluated in females 12 months post-immunization through echocardiography, basic metabolic panels, and lipid profiles. Circulating anti-ANG2 antibodies were detected in nursing neonates of vaccinated females, with antibody levels comparable between litters and their dams, indicating effective antibody transfer from the dams. A significant decrease in AVM number and size was observed in the retinas of pups exposed to ANG2-P3:CRM197 antibodies compared to unexposed pups. Arterial and venous diameters were normalized in the vaccinated pups retinas. The vaccinated females showed no abnormalities in cardiac, liver, or kidney functions. A vaccine strategy targeting ANG2 appears safe and improves AVM pathology in HHT mice. These findings further support the potential of inhibiting ANG2 as a viable approach for treating AVMs in HHT. KEY POINTSO_LIA peptide vaccine that targets ANG2 reduced AVM number and size, and normalized arterial and venous diameters in a mouse model of HHT. C_LIO_LIThe vaccine did not cause any abnormalities in cardiac, liver, or kidney functions, and thus appeared safe. C_LI

cell biology↗

Inhibition of CGRP receptor ameliorates AD pathology by reprogramming lipid metabolism through HDAC11/LXRβ/ABCA1 signaling

The Calcitonin gene-related peptide (CGRP) receptor has gained attention in Alzheimers Disease (AD) research due to its involvement in regulating neuroinflammation. However, its role and mechanism in AD pathology remain unclear. Here, we demonstrate that CALCRL, a core component of the CGRP receptor, is upregulated in the hippocampus of AD dementia patients and 5xFAD mice. Knockout of the CGRP receptor ligand Calca or pharmacological blockade using Rimegepant (Rim), reduces soluble A{beta}1-42 oligomer-induced neuronal death and glial inflammation. Rim treatment also rescues neurobehavioral impairments, neurodegeneration, and lipid metabolism dysfunction in 5xFAD mice. Mechanistically, these effects are mediated through HDAC11 inhibition, which enhances LXR{beta} acetylation and ABCA1 expression, promoting the reprogramming of neuronal lipid metabolism. Importantly, this CALCRL/HDAC11/LXR{beta}/ABCA1 axis is conserved across both humans and mice. Our findings uncover a novel mechanism underlying AD pathogenesis and highlight the therapeutic potential of targeting CGRP signaling in AD. HIGHLIGHTSInhibition of CGRP receptor ameliorates disease pathology in models of AD HDAC11 mediates CGRP receptor function in AD HDAC11 is a pivotal regulator in lipid metabolism by LXR{beta}/ABCA1 signaling The HDAC11/LXR{beta}/ABCA1 axis is conserved in AD humans and mice

neuroscience↗

Bridging Language Markers and Pathology: Correlations Between Digital Speech Measures and Surrogate CSF Biomarkers in Alzheimer's Disease

BackgroundDigital language markers show promise in detecting early cognitive impairment related to Alzheimers disease (AD), yet their relationship with cerebrospinal fluid (CSF) biomarkers of AD pathology remains unclear mainly due to the lack of data with both CSF and language markers. ObjectiveThis study aims to build links between digital language markers and fluid biomarkers through surrogate CSF biomarkers. MethodsUsing NACC clinical data as anchor variables, language makers in the I-CONECT study were linked to NACC CSF data. Surrogate CSF biomarkers were created for I-CONECT subjects using machine learning models from common NACC clinical variables. Correlations assessed associations between CSF and language markers. ResultsLower predicted amyloid-{beta} correlated significantly with reduced syntactic complexity and shorter speech responses. Higher predicted total tau and phosphorylated tau correlated with reduced syntactic complexity. ConclusionsThis study demonstrates novel links between language markers and fluid biomarkers, highlighting conversational language as a potential accessible, non-invasive approach for early detection and monitoring of Alzheimers pathology.

bioinformatics↗

Scalable Human Cellular Models of Parkinson Disease Reveal A Druggable Link Between the Angiotensin Receptor 1 and Alpha-Synuclein Pathology

BackgroundParkinsons disease (PD) involves progressive loss of midbrain dopaminergic (mDA) neurons in the substantia nigra. No disease-modifying treatments exist, only symptomatic relief. Our lab reported an unbiased screen in larval zebrafish identifying renin-angiotensin-aldosterone system (RAAS) inhibitors, including clinically used AGTR1 inhibitors for hypertension, as potent neuroprotective agents. This study aims to investigate the effects of AGTR1 inhibition on human mDA neuron survival using inducible neurodegenerative 2D and 3D models for human mDA neuron degeneration. MethodsWe report a scalable high-content platform, using CRISPR-engineered human induced pluripotent stem cell (hiPSC)-derived mDA neurons expressing a tyrosine hydroxylase (TH) fluorescent reporter, allowing to track mDA neuron survival live "in a dish". We developed chemically inducible neurodegenerative 2D and 3D models for human mDA neuron degeneration, allowing to recapitulate PD pathology in human cells in vitro. ResultsOur model establishes scalable human cellular models of PD well-suited for therapeutic discovery. Using 2D and 3D mono and co-cultures, this study demonstrates that inhibition of AGTR1, via chemical or genetic means, protects against chemically induced mDA neuron degeneration. Transcriptomic analyses show AGTR1 inhibition lowers synuclein transcription, by reducing SNCA and SNCB gene expression. In 3D neuron-glia assembloids, AGTR1 inhibition protects against the accumulation of phosphorylated form of -synuclein (p129-Syn), key PD pathological marker. ConclusionsWe highlight AGTR1 as a key regulator of -synuclein transcription and aggregation in human mDA neurons, and AGTR1 inhibition as pro-survival in human iPSC-derived models. These findings position inhibition of AGTR1 as a promising therapeutic strategy for PD neuroprotection.

neuroscience↗

Soluble amyloid-beta buffering by plaques in Alzheimer disease dementia versus high-pathology controls

An unanswered question regarding Alzheimer disease dementia (ADD) is whether amyloid-beta (A{beta}) plaques sequester toxic soluble A{beta} species early in the pathological progression. We previously reported that the concentration of soluble A{beta} aggregates from patients with mild dementia was higher than soluble A{beta} aggregates from patients with modest A{beta} plaque burden but no dementia. The ratio of soluble A{beta} aggregate concentration to A{beta} plaque area fully distinguished these groups of patients. We hypothesized that initially plaques may serve as a reservoir or sink for toxic soluble A{beta} aggregates, sequestering them from other targets in the extracellular space and thereby preventing their toxicity. To initially test a generalized version of this hypothesis, we have performed binding assessments using biotinylated synthetic A{beta}1-42 peptide. A{beta}1-42-biotin peptide was incubated on unfixed frozen sections from non-demented high plaque pathology controls and patients with dementia of the Alzheimer type. The bound peptide was measured using ELISA and confocal microscopy. We observed no quantitative difference in A{beta} binding between the groups using either method. Further testing of the buffering hypothesis using various forms of synthetic and human derived soluble A{beta} aggregates will be required to definitively address the role of plaque buffering as it relates to ADD.

neuroscience↗

Convolving Pre-Trained Convolutional Neural Networks at Various Magnifications to Extract Diagnostic Features for Digital Pathology

Deep learning is an area of artificial intelligence that has received much attention in the past few years due to both an increase in computational power with the increased use of graphics processing units (GPUs) for computational analyses and the performance of these class of algorithms on visual recognition tasks. They have found utility in applications ranging from image search to facial recognition for security and social media purposes. Their continued success has propelled their use across many new domains including the medical field, in areas of radiology and pathology in particular, as these fields are thought to be driven by visual recognition tasks. In this paper, we present an application of deep learning, termed transfer learning, using ResNet50, a pre-trained convolutional neural network (CNN) to act as a feature-detector at various magnifications to identify low and high level features in digital pathology images of various breast lesions for the purpose of classifying them correctly into the labels of normal, benign, in-situ, or invasive carcinoma as provided in the ICIAR 2018 Breast Cancer Histology Challenge (BACH).

bioinformatics↗

OptoGranules reveal the evolution of stress granules to ALS-FTD pathology

Stress granules are non-membranous assemblies of mRNA and protein that form in response to a variety of stressors. Genetic, pathologic, biophysical and cell biological studies have implicated disturbances in the dynamics of membrane-less organelles, such as stress granules, as a pathobiological component of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD)1-12. This confluence of evidence has inspired the hypothesis that these diseases reflect an underlying disturbance in the dynamics and material properties of stress granules; however, this concept has remained largely untestable in available models of stress granule assembly, which require the confounding variable of exogenous stressors. Here we demonstrate the development and use of a light-inducible stress granule system, termed OptoGranules, which permits discrete, experimental control of the dynamics and material properties of stress granules in living cells in the absence of exogenous stressors. The nucleator in this system is Opto-G3BP1, a light-sensitive chimeric protein assembled from the intrinsically disordered region (IDR) and RNA-binding domain of G3BP1 combined with the light-sensitive oligomerization domain of Arabidopsis thaliana cryptochrome 2 (CRY2) photolyase homology region (PHR). Upon stimulation with blue light, Opto-G3BP1 initiates the rapid assembly of dynamic, cytoplasmic, liquid granules that are composed of canonical stress granule components, including G3BP1, PABP, TIA1, TIAR, eIF4G, eIF3{eta}, ataxin 2, GLE1, TDP-43 and polyadenylated RNA. With this system, we demonstrate that persistent or repetitive assembly of stress granules is cytotoxic and is accompanied by the evolution of stress granules to neuronal cytoplasmic inclusions that recapitulate the pathology of ALS-FTD.

neuroscience↗

Evolutionary history of Alzheimer Disease causing protein family Presenilins with pathological implications.

Presenilin proteins are type II transmembrane proteins. They make the catalytic component of Gamma secretase, a multiportion transmembrane protease. Amyloid protein, Notch and beta catenin are among more than 90 substrates of Presenilins. Mutations in Presenilins lead to defects in proteolytic cleavage of its substrate resulting in some of the most devastating pathological conditions including Alzheimer disease (AD), developmental disorders and cancer. In addition to catalytic roles, Presenilin protein is also shown to be involved in many non-catalytic roles i.e. calcium homeostasis, regulation of autophagy and protein trafficking etc. These proteolytic proteins are highly conserved, present in almost all the major eukaryotic groups. Studies on wide variety of organisms ranging from human to unicellular dictyostelium have shown the important catalytic and non-catalytic roles of Presenilins. In the current research project, we aimed to elucidate the phylogenetic history of Presenilins. We showed that Presenilins are the most ancient of the Gamma secretase proteins and might have their origin in last common eukaryotic ancestor (LCEA). We also demonstrated that these proteins have been evolving under strong purifying selection. Through evolutionary trace analysis, we showed that Presenilin protein sites which undergoes mutations in Familial Alzheimer Disease are highly conserved in metazoans. Finally, we discussed the evolutionary, physiological and pathological implication of our findings and proposed that evolutionary profile of Presenilins supports the loss of function hypothesis of AD pathogenesis.

evolutionary biology↗

The pathological hallmarks of Alzheimer’s disease derive from compensatory responses to NMDA receptor insufficiency

Alzheimers disease is characterized by intracellular aggregates of hyperphosphorylated tau protein and extracellular plaques of amyloid {beta} peptide, a product of APP processing. The origin of these pathological hallmarks has remained elusive. Here, we have tested the idea that both alterations, at the onset of the disease, may constitute compensatory responses to the same causative and initial trigger, namely NMDA receptor insufficiency. Treatment of rat cortical neurons with the specific NMDA receptor antagonist AP5 within 4 h caused a significant increase in tau phosphorylation at the AT8 and S404 epitopes as well as an increase in APP expression and A{beta} 40 secretion. Single intraperitoneal injections of the NMDA receptor open channel blocker MK-801 into wild-type mice reproduced all of these changes in a brain region-specific fashion either at latency 4 h or 24 h. Subchronic treatment with MK-801 for 6 weeks induced AT8, S404 and S396 immunoreactivity selectively in female mice. We conclude that the pivotal pathological alterations in Alzheimers disease represent runaway physiological responses to persistently insufficient excitatory neurotransmission. In view of the evidence for excitatory insufficiency in trisomy 21 patients, PS1 mutation carriers and ApoE4 carriers, our data suggest a common pathomechanism behind familial, sporadic, and risk allele-triggered Alzheimers disease. The potential of this mechanism to reconcile previous conflicting observations is discussed.

neuroscience↗

Homeostatic versus pathological functions of Dual Leucine Zipper Kinase in the adult mouse brain

Dual Leucine Zipper Kinase (DLK, Map3k12), is an injury-induced axonal protein that governs the balance between degeneration and regeneration through its downstream effectors c-jun N-terminal kinase (JNK) and phosphorylated c-jun (p-c-Jun). DLK is generally considered to be inactive in healthy neurons until induced by injury. However we report that DLK in the cerebellum appears constitutively active and drives nuclear p-c-Jun in cerebellar granule neurons in the absence of injury. In contrast the adult hippocampus expresses similar levels of apparently constitutively active DLK, but p-c-Jun is lower and does not accumulate in the nucleus. Injury is required there for p-c-jun nuclear expression, because in the rTg4510 model of tauopathy, where there is extensive hippocampal pathology, nuclear p-c-Jun is induced in a DLK-dependent manner. This context-specific regulation of DLK signaling could relate to availability of JNK scaffolding proteins, as the cerebellum preferentially expresses JNK-interacting protein-1 (JIP-1) whereas the hippocampus contains more JIP-3 and Plenty of SH3 (POSH). To understand how DLK signaling differs between the hippocampus and cerebellum, we selectively blocked DLK and measured changes in protein and mRNA expression. In the cerebellum, p-c-Jun levels correlated with synaptophysin, suggesting a link between DLK activity and synaptic maintenance. In rTg4510 mice, hippocampal p-c-Jun instead correlated with markers of neuronal injury and gliosis (Iba1 and GFAP). RNA sequencing revealed that in both brain regions DLK inhibition reduced expression of JNK/c-Jun pathway components and a novel set of co-regulated genes. In the cerebellum, Jun mRNA levels were co-regulated with genes mapping to metabolic pathways, while in the rTg4510 hippocampus, Jun-correlated mRNAs correspond primarily to neuroinflammation. These data suggest that in the uninjured cerebellum, DLK/p-c-Jun signaling is linked to synaptic regulation, but in the hippocampus, pathologically activated DLK/p-c-Jun signaling regulates genes associated with the injury response.

neuroscience↗

Functional connectomics of affective and psychotic pathology

Converging evidence indicates that groups of patients with nominally distinct psychiatric diagnoses are not separated by sharp or discontinuous neurobiological boundaries. In healthy populations, individual differences in behavior are reflected in variability across the collective set of functional brain connections (functional connectome). These data suggest that the spectra of transdiagnostic symptom profiles observed in psychiatric patients may map onto detectable patterns of network function. To examine the manner through which neurobiological variation might underlie clinical presentation we obtained functional magnetic resonance imaging (fMRI) data from over 1,000 individuals, including 210 diagnosed with a primary psychotic disorder or affective psychosis (bipolar disorder with psychosis and schizophrenia or schizoaffective disorder), 192 presenting with a primary affective disorder without psychosis (unipolar depression, bipolar disorder without psychosis), and 608 demographically and data-quality matched healthy comparison participants recruited through a large-scale study of brain imaging and genetics. Here, we examine variation in functional connectomes across psychiatric diagnoses, finding striking evidence for disease connectomic \"fingerprints\" that are commonly disrupted across distinct forms of pathology and appear to scale as a function of illness severity. Conversely, other properties of network connectivity were preferentially disrupted in patients with psychotic illness, but not patients without psychotic symptoms. This work allows us to establish key biological and clinical features of the functional connectomes of severe mental disease.\n\nSIGNIFICANCE STATEMENTHistorically, most research on the biological origins of psychiatric illness has focused on individual diagnostic categories, studied in isolation. Mounting evidence suggests nominally distinct psychiatric diagnoses are not separated by clear neurobiological boundaries. Here, we derive functional connectomic signatures in over 1,000 individuals including patients presenting with specific categories of impairment (psychosis), clinical diagnoses, or severity of illness as reflected in treatment seeking. Our analyses revealed features of connectome functioning that are commonly disrupted across distinct forms of pathology, scaling with clinical severity. Conversely, other aspects of network connectivity were preferentially disrupted in patients with psychotic illness, but not patients without psychotic symptoms. These data have important implications for the establishment of functional connectome fingerprints of severe mental disease.

neuroscience↗

Diffeomorphic registration with intensity transformation and missing data: Application to 3D digital pathology of Alzheimer’s disease

This paper examines the problem of diffeomorphic image mapping in the presence of differing image intensity profiles and missing data. Our motivation comes from the problem of aligning 3D brain MRI with 100 micron isotropic resolution, to histology sections with 1 micron in plane resolution. Multiple stains, as well as damaged, folded, or missing tissue are common in this situation. We overcome these challenges by introducing two new concepts. Cross modality image matching is achieved by jointly estimating polynomial transformations of the atlas intensity, together with pose and deformation parameters. Missing data is accommodated via a multiple atlas selection procedure where several atlases may be of homogeneous intensity and correspond to \"background\" or \"artifact\". The two concepts are combined within an Expectation Maximization algorithm, where atlas selection posteriors and deformation parameters are updated iteratively, and polynomial coefficients are computed in closed form. We show results for 3D reconstruction of digital pathology and MRI in standard atlas coordinates. In conjunction with convolutional neural networks, we quantify the 3D density distribution of tauopathy throughout the medial temporal lobe of an Alzheimers disease postmortem specimen.\n\nAuthor summaryOur work in Alzheimers disease (AD) is attempting to connect histopathology at autopsy and longitudinal clinical magnetic resonance imaging (MRI), combining the strengths of each modality in a common coordinate system. We are bridging this gap by using post mortem high resolution MRI to reconstruct digital pathology in 3D. This image registration problem is challenging because it combines images from different modalities in the presence of missing tissue and artifacts. We overcome this challenge by developing a new registration technique that simultaneously classifies each pixel as \"good data\" / \"missing tissue\" / \"artifact\", learns a contrast transformation between modalities, and computes deformation parameters. We name this technique \"(D)eformable (R)egistration and (I)ntensity (T)ransformation with (M)issing (D)ata\", pronounced as \"Dr. It, M.D.\". In conjunction with convolutional neural networks, we use this technique to map the three dimensional distribution of tau tangles in the medial temporal lobe of an AD postmortem specimen.

neuroscience↗

LRRK2 modifies α-syn pathology and spread in mouse models and human neurons

Progressive aggregation of the protein alpha-synuclein (-syn) and loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc) are key histopathological hallmarks of Parkinsons disease (PD). Accruing evidence suggests that -syn pathology can propagate through neuronal circuits in the brain, contributing to the progressive nature of the disease. Thus, it is therapeutically pertinent to identify modifiers of -syn transmission and aggregation as potential targets to slow down disease progression. A growing number of genetic mutations and risk factors have been identified in studies of both familial and sporadic forms of PD. However, how these genes affect -syn aggregation and pathological spread, and whether they can be targeted for therapeutic interventions, remains unclear. We performed a targeted genetic screen of risk genes associated with PD and parkinsonism for modifiers of -syn aggregation, using an -syn preformed-fibril (PFF) induction assay. We found that decreased expression of Lrrk2 and Gba modulated -syn aggregation in mouse primary neurons. Conversely, -syn aggregation increased in primary neurons from transgenic mice expressing the PD-linked LRRK2 G2019S mutation. In vivo, we investigated -syn spreading in a LRRK2 G2019S transgenic mouse model and observed acceleration of -syn aggregation and degeneration of dopaminergic neurons in the SNpc. Furthermore, LRRK2 G2019S transgenic mice displayed more pronounced degeneration-associated neuroinflammation and exacerbated behavioral deficits. To validate our findings in a human context, we established a human -syn transmission model using induced pluripotent stem cell (iPS)-derived neurons (iNs). Recombinant human -syn PFFs triggered aggregation of endogenous -syn in a time-dependent manner in human iNs. In isogenic lines of human iNs, the G2019S mutation enhanced -syn aggregation, whereas loss of LRRK2 decreased aggregation. Collectively, these findings establish a strong interaction between the PD risk gene LRRK2 and -syn transmission across mouse and human models. Since clinical trials of LRRK2 inhibitors in PD are currently underway, our findings raise the possibility that these may be effective in PD broadly, not just in the cases caused by LRRK2 mutations.

neuroscience↗

Platelet-neutrophil aggregates promote skin pathology in psoriasis

Psoriasis is a frequent systemic inflammatory autoimmune disease characterized primarily by skin lesions with massive infiltration of leukocytes but frequently also presents with cardiovascular comorbidities. Especially polymorphonuclear neutrophils (PMNs) abundantly infiltrate psoriatic skin but the cues that prompt PMNs to home to the skin are not well defined. To identify PMN surface receptors that may explain PMN skin homing in psoriasis patients, we screened 332 surface antigens on primary human blood PMNs from healthy donors and psoriasis patients. We identified platelet surface antigens as a defining feature of psoriasis PMNs, due to a significantly increased aggregation of neutrophils and platelets in the blood of psoriasis patients. Similarly, in the imiquimod-induced experimental in vivo model of psoriasis, disease induction promoted PMN-platelet aggregate formation. In psoriasis patients, disease directly correlated with blood platelet counts and platelets were detected in direct contact with PMNs in psoriatic but not healthy skin. Importantly, depletion of circulating platelets in vivo ameliorated disease severity significantly, indicating that the intimate relationship of PMNs and platelets may be relevant for psoriasis pathology and disease severity, and potentially for psoriasis-associated cardiovascular comorbidities. Key pointsO_LIHuman neutrophils in psoriasis patient blood show a distinct platelet signature of surface antigens C_LIO_LIPlatelets congregate with neutrophils in psoriatic skin lesions C_LIO_LICirculating platelets contribute to psoriasis skin pathology C_LI

immunology↗