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Results for “Pathology”

Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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At least 865 records · Page 48Linked to original sources

bioRxiv2021

Alpha peak frequency is linked to episodic memory impairment in pathological aging

The Free and Cued Selective Reminding Test (FCSRT) is a largely validated neuropsychological test for the identification of amnestic syndrome from the early stage of Alzheimers disease (AD). Previous electrophysiological data suggested a slowing down of the alpha rhythm in the AD-continuum as well as a key role of this rhythmic brain activity for episodic memory processes. This study therefore investigates the link between alpha brain activity and alterations in episodic memory as assessed by the FCSRT. For that purpose, 37 patients with altered FCSRT performance underwent a comprehensive neuropsychological assessment, supplemented by 18F-fluorodeoxyglucose positron emission tomography/structural magnetic resonance imaging (18FDG-PET/MR), and 10 minutes of resting-state magnetoencephalography (MEG). The individual alpha peak frequency (APF) in MEG resting-state data was positively correlated with patients encoding efficiency as well as with the efficacy of semantic cues in facilitating patients retrieval of previous stored word. The APF also correlated positively with patients hippocampal volume and their regional glucose consumption in the posterior cingulate cortex. Overall, this study demonstrates that alterations in the ability to learn and store new information for a relatively short-term period are related to a slowing down of alpha rhythmic activity, possibly due to altered interactions in the extended mnemonic system. As such, a decreased APF may be considered as an electrophysiological correlate of short-term episodic memory dysfunction accompanying pathological aging.

neuroscience↗

bioRxiv2021

Investigating Regional Specificity of Alzheimers Disease Pathology in the 5xFAD Mouse Model

Alzheimers disease (AD) is a neurodegenerative disease that affects cognition and memory. Mouse models such as 5xFAD, incorporate mutations found in familial or early-onset (EOAD) AD; these mutations increase the production of the toxic AB species that contributes to plaque formation in the brain. However, not all brain regions in the 5xAD animals accumulate plaques to the same degree. For example, the cerebellum appears to be resistant to AB plaque formation, while other regions such as the cortex and subiculum develop copious plaques. The mechanism(s) underlying this regional specificity remains unclear. Thus, we used a fluorescent antibody to APP/AB to quantify the amount of these proteins in several brain regions of interest, including subiculum, cortex, and cerebellum. We found that the cerebellum had less APP/AB than the other regions quantified, which demonstrates a correlation between the levels of APP/AB and plaque formation. Taken together, this suggests that the regional specificity of AD pathology may be a result of different levels of protein expression.

neuroscience↗

bioRxiv2021

Loss of TREM2 reduces hyperactivation of progranulin deficient microglia but not lysosomal pathology

GRN haploinsufficiency causes frontotemporal lobar degeneration and results in microglial hyperactivation, lysosomal dysfunction and TDP-43 deposition. To understand the contribution of microglial hyperactivation to pathology we evaluated genetic and pharmacological approaches suppressing TREM2 dependent transition of microglia from a homeostatic to a disease associated state. Trem2 deficiency in Grn KO mice led to a reduction of microglia activation. To explore antibody-mediated pharmacological modulation of TREM2-dependent microglial states, we identified antagonistic TREM2 antibodies. Treatment of macrophages from GRN-FTLD patients with these antibodies allowed a complete rescue of elevated levels of TREM2 together with increased shedding and reduction of TREM2 signaling. Furthermore, antibody-treated PGRN deficient hiMGL showed dampened microglial hyperactivation, reduced TREM2 signaling and phagocytic activity, however, lack of rescue of lysosomal dysfunction. Similarly, lysosomal dysfunction, lipid dysregulation and glucose hypometabolism of Grn KO mice were not rescued by TREM2 ablation. Furthermore, NfL, a biomarker for neurodegeneration, was elevated in the Grn/Trem2 KO. These findings suggest that microglia hyperactivation is not necessarily contributing to neurotoxicity, and instead demonstrates that TREM2 exhibits neuroprotective potential in this model.

neuroscience↗

bioRxiv2021

Splicing Factor SRSF1 Deficiency in the Liver Triggers NASH-like Pathology via R-Loop Induced DNA Damage and Cell Death

Regulation of RNA processing contributes profoundly to tissue development and physiology. Here, we report that serine-arginine-rich splicing factor 1 (SRSF1) is essential for hepatocyte function and survival. Although SRSF1 is mainly known for its many roles in mRNA metabolism, it is also crucial for maintaining genome stability. We show that acute liver damage in the setting of targeted SRSF1 deletion in mice is primarily mediated by the excessive formation of deleterious RNA-DNA hybrids (R-loops), which induce DNA damage. Combining hepatocyte-specific transcriptome, proteome, and RNA binding analyses, we demonstrate that widespread genotoxic stress following SRSF1 depletion results in global inhibition of mRNA transcription and protein synthesis, leading to impaired metabolism and trafficking of lipids. Lipid accumulation in SRSF1-deficient hepatocytes is followed by necroptotic cell death, inflammation, and fibrosis, resulting in NASH-like liver pathology. Importantly, SRSF1-depleted human liver cancer cells recapitulate this pathogenesis illustrating a conserved and fundamental role for SRSF1 in preserving genome integrity and tissue homeostasis. Thus, our study uncovers how accumulation of detrimental R-loops impedes hepatocellular gene expression, triggering metabolic derangements and liver failure.

cell biology↗

bioRxiv2021

Activation of M1 muscarinic receptors reduce pathology and slow progression of neurodegenerative disease.

The most prevalent types of dementias, including Alzheimers disease, are those that are propagated via the spread of "prion-like" misfolded proteins. Despite considerable effort no treatments are available to slow or stop the progression of these dementias. Here we investigate the possibility that activation of the M1-muscarinic receptor (M1-receptor), which is highly expressed in the brain and that shows pro-cognitive properties, might present a novel disease modifying target. We demonstrate that the progression of murine prion disease, which we show here displays many of the pathological, behavioural and biochemical hallmarks of human neurodegenerative disease, is slowed and normal behaviour maintained by the activation of the M1-receptor with a highly tolerated positive allosteric modulator (VU846). This correlates with a reduction in both neuroinflammation and indicators of mitochondrial dysregulation, as well as a normalisation in the expression of markers associated with neurodegeneration and Alzheimers disease. Furthermore, VU846 preserves expression of synaptic proteins and post-synaptic signalling components that are altered in disease. We conclude that allosteric regulation of M1-receptors has the potential to reduce the severity of neurodegenerative diseases caused by the prion-like propagation of misfolded protein in a manner that extends life span and maintains normal behaviour.

neuroscience↗

bioRxiv2021

Pathological LSD1 mutations cause HDAC-mediated aberrant gene repression during early cell differentiation

Lysine-specific demethylase 1 (LSD1/KDM1A) demethylates both histone and non-histone substrates, recruits repressive chromatin complexes, and is increased in cancers. De novo LSD1 mutations impairing protein function lead to a rare developmental disorder, but the molecular details of the pathology remains unclear. Using patient-derived fibroblasts, reprogrammed pluripotent stem cells, and differentiated cells, we found over 4000 differentially expressed genes and 68 transcription factors (TFs) whose motif accessibilities changed upon LSD1 mutation. An enhancer-mediated gene regulatory network approach identified transcriptional repressors with impaired activity in fibroblast and stem cells, leading to erroneous activation of their target genes. We also revealed overall decreases in TF target gene expression during early lineage differentiation of LSD1 mutant stem cells, likely caused by increased activity of repressive histone deacetylases (HDACs), co-factors of LSD1. Indeed, an HDACs inhibitor restored changes in gene expression including downregulation phenotype. Our findings characterize the molecular pathogenesis of LSD1 mutations and suggest potential therapeutic strategies for the developmental disorder and cancers caused by LSD1 dysregulations.

genomics↗

bioRxiv2021

Sulfonylureas target the neurovascular response to decrease Alzheimer's pathology

Hyperexcitability is a defining feature of Alzheimers disease (AD), where aberrant neuronal activity is both a cause and consequence of AD. Therefore, identifying novel targets that modulate cellular excitability is an important strategy for treating AD. ATP-sensitive potassium (KATP) channels are metabolic sensors that modulate cellular excitability. Sulfonylureas are KATP channel antagonists traditionally used to combat hyperglycemia in diabetic patients by inhibiting pancreatic KATP channels, thereby stimulating insulin release. However, KATP channels are not limited to the pancreas and systemic modulation of KATP channels has pleotropic physiological effects, including profound effects on vascular function. Here, we demonstrate that human AD patients have higher cortical expression of vascular KATP channels, important modulators of vasoreactivity. We demonstrate that peripheral treatment with the sulfonylurea and KATP channel inhibitor, glyburide, reduced the aggregation and activity-dependent production of amyloid-beta (A{beta}), a hallmark of AD, in mice. Since glyburide does not readily cross the blood brain barrier, our data suggests that glyburide targets vascular KATP channel activity to reduce arterial stiffness, improve vasoreactivity, and normalize pericyte-endothelial cell morphology, offering a novel therapeutic target for AD. Graphical abstractTargeting vascular KATP channel activity for the treatment of Alzheimers disease pathology. O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

neuroscience↗

bioRxiv2021

Cortical hyperexcitability drives dying forward ALS symptoms and pathology in mice

Amyotrophic lateral sclerosis (ALS) is a progressive fatal disorder caused by degeneration of motor neurons in the cortex and spinal cord. The origin of ALS in the central nervous system is unclear, however cortical hyperexcitability appears as an early and intrinsic feature of ALS and has been linked to degeneration of spinal motor neurons via a dying-forward mechanism. Here, we implement chemogenetics to validate the dying forward hypothesis of ALS in mice. We show that chronic hyperexcitability of corticomotoneurons induced by excitatory chemogenetics results in motor symptoms and core neuropathological hallmarks of ALS, including corticomotoneuron loss, corticospinal tract degeneration and reactive gliosis. Importantly, corticomotoneuron loss was sufficient to drive degeneration of spinal motor neurons and neuromuscular junctions (NMJs), associated with cytoplasmic TAR DNA binding protein 43 (TDP-43) pathology. These findings establish a cortical origin of ALS mediated by neuronal hyperexcitability, consistent with a dying forward mechanism of neurodegeneration.

neuroscience↗

bioRxiv2021

FEDERATED MORPHOMETRY FEATURE SELECTION FOR HIPPOCAMPAL MORPHOMETRY ASSOCIATED BETA-AMYLOID AND TAU PATHOLOGY

Amyloid-{beta} (A{beta}) plaques and tau protein tangles in the brain are now widely recognized as the defining hallmarks of Alzheimers disease (AD), followed by structural atrophy detectable on brain magnetic resonance imaging (MRI) scans. One of the particular neurodegenerative regions is the hippocampus to which the influence of A{beta}/tau on has been one of the research focuses in the AD pathophysiological progress. This work proposes a novel framework, Federated Morphometry Feature Selection (FMFS) model, to examine subtle aspects of hippocampal morphometry that are associated with A{beta}/tau burden in the brain, measured using positron emission tomography (PET). FMFS is comprised of hippocampal surface-based feature calculation, patch-based feature selection, federated group LASSO regression, federated screening rule-based stability selection, and region of interest (ROI) identification. FMFS was tested on two ADNI cohorts to understand hippocampal alterations that relate to A{beta}/tau depositions. Each cohort included pairs of MRI and PET for AD, mild cognitive impairment (MCI) and cognitively unimpaired (CU) subjects. Experimental results demonstrated that FMFS achieves an 89x speedup compared to other published state-of-the-art methods under five independent hypothetical institutions. In addition, the subiculum and cornu ammonis 1 (CA1 subfield) were identified as hippocampal subregions where atrophy is strongly associated with abnormal A{beta}/tau. As potential biomarkers for A{beta}/tau pathology, the features from the identified ROIs had greater power for predicting cognitive assessment and for survival analysis than five other imaging biomarkers. All the results indicate that FMFS is an efficient and effective tool to reveal associations between A{beta}/tau burden and hippocampal morphometry.

neuroscience↗

bioRxiv2021

Electrical impulse characterization along actin filaments in pathological conditions

We present an interactive Mathematica notebook that characterizes the electrical impulses along actin filaments in both muscle and non-muscle cells for a wide range of physiological and pathological conditions. The program is based on a multi-scale (atomic [->] monomer [->] filament) approach capable of accounting for the atomistic details of a protein molecular structure, its biological environment, and their impact on the travel distance, velocity, and attenuation of monovalent ionic wave packets propagating along microfilaments. The interactive component allows investigators to conduct original research by choosing the experimental conditions (intracellular Vs in vitro), nucleotide state (ATP Vs ADP), actin isoform (alpha, gamma, beta, and muscle or non-muscle cell), as well as, a conformation model that covers a variety of mutants and wild-type (the control) actin filament. The simplicity of the theoretical formulation and the high performance of the Mathematica software enable the analysis of multiple conditions without computational restrictions. These studies may provide an unprecedented molecular understanding of why and how age, inheritance, and disease conditions induce dysfunctions in the biophysical mechanisms underlying the propagation of electrical signals along actin filaments.

neuroscience↗

bioRxiv2021

Macrophage migration inhibitory factor is a valid drug target at the intersection of herpes simplex virus 1 replication and Alzheimer's disease-relevant cellular pathology

The viral life cycle usurps host cellular factors, redirecting them from physiological functions to viral needs thereby revealing their "moonlighting" functions, disturbing cellular proteostasis, and increasing risk of specific, virus-associated protein misfolding diseases (PMD). Identifying such virus-repurposed host proteins therefore allow study of fundamental cellular events leading to associated "sporadic" PMD. Here, we identified a small molecule with unprecedented activity against neurotropic herpes simplex virus 1 (HSV-1) modulating an allosteric site of Macrophage Migration Inhibitory Factor (MIF). The compound efficiently reduced HSV-1-mediated tau phosphorylation or aggregation in vitro and in vivo, even without HSV-1 infection. The lead compound specifically interacted with an oxidized conformer of MIF (oxMIF) from either recombinant MIF or post-mortem brain homogenates of patients with Alzheimers disease (AD). OxMIF thus participates in a host-viral interface connecting HSV-1 infection, and possibly other external stressors, with tau cellular pathology characteristic for PMD, including Alzheimes disease.

microbiology↗

bioRxiv2021

Image model embeddings for digital pathology and drug development via self-supervised learning

Whole slide images (WSIs) contain rich pathology information which can be used to diagnose cancer, characterize the tumour microenvironment (TME), assess patient prognosis, and provide insights into the likelihood of whether a patient may respond to a given treatment. However, since WSI availability is generally scarce during early stage clinical trials, the applicability of deep learning models to new and ongoing drug development in early stages is typically limited. WSIs available in public repositories, such as The Cancer Genome Atlas (TCGA), enable an unsupervised pretraining approach to help alleviate data scarcity. Pretrained models can also be utilised for a range of downstream applications such as automated annotation, quality control (QC), and similar image search. In this work we present DIME (Drug-development Image Model Embeddings), a pipeline for training image patch embeddings for WSIs via self-supervised learning. We compare inpainting and contrastive learning approaches for embedding training in the DIME pipeline, and demonstrate state-of-the-art performance at image patch clustering. In addition, we show that the resultant embeddings allow for training effective downstream patch classifiers with relatively few WSIs, and apply this to an AstraZeneca-sponsored phase III clinical trial. We also highlight the importance of effective colour normalisation for implementing histopathology analysis pipelines, regardless of the core learning algorithm. Finally, we show via subjective exploration of embedding spaces that the DIME pipeline clusters interesting histopathological artefacts, suggesting a possible role for the method in QC pipelines. By clustering image patches according to underlying morphopathologic features, DIME supports subsequent qualitative exploration by pathologists and has the potential to inform and expediate biomarker discovery and drug development.

bioinformatics↗

bioRxiv2021

Dysregulated coordination of MAPT exon 2 and exon 10 splicing underlies different tau pathologies in PSP and AD

Understanding regulation of MAPT splicing is important to the etiology of many nerurodegenerative diseases, including Alzheimer disease (AD) and progressive supranuclear palsy (PSP), in which different tau isoforms accumulate in pathologic inclusions. MAPT, the gene encoding the tau protein, undergoes complex alternative pre-mRNA splicing to generate six isoforms. Tauopathies can be categorized by the presence of tau aggregates containing either 3 (3R) or 4 (4R) microtubule binding domain repeats (determined by inclusion/exclusion of exon 10), but the role of the N terminal domain of the protein, determined by inclusion/exclusion of exons 2 and 3 has been less well studied. Using an unbiased correlational screen in human brain tissue, we observed coordination of MAPT exons 2 and 10 splicing. Expression of exon 2 splicing regulators and subsequently exon 2 inclusion are differentially disrupted in PSP and AD brain, resulting in the accumulation of 1N4R isoforms in PSP and 0N isoforms in AD temporal cortex. Furthermore, we identified different N-terminal isoforms of tau present in neurofibrillary tangles, dystrophic neurites and tufted astrocytes, indicating a role for differential N-terminal splicing in the development of disparate tau neuropathologies. We conclude that N-terminal splicing and combinatorial regulation with exon 10 inclusion/exclusion is likely to be important to our understanding of tauopathies.

neuroscience↗

bioRxiv2021

Deficiency of p38α-MAPK in myeloid cells ameliorates symptoms and pathology of APP-transgenic Alzheimer's disease mice

Microglial activation is a hall marker of Alzheimers disease (AD); its pathogenic role and regulating mechanisms are unclear. p38-MAPK, a stress-responding kinase, is activated in AD brain in early disease stages. In APP-transgenic mice, we deleted p38-MAPK in whole myeloid cells from birth or specifically in microglia from 9 months, and analysed AD pathology at the age of 4, 9 and 12 months. In both experimental settings, p38-MAPK deficiency decreased cerebral A{beta} and improved cognitive function of AD mice; however, p38-MAPK-deficient myeloid cells were more effective than p38-MAPK-deficient microglia in preventing AD pathogenesis. Deficiency of p38-MAPK in myeloid cells inhibited the inflammatory activation of individual microglia by 4 months, but enhanced it by 9 months. Inflammatory activation was essential for p38-MAPK deficiency to promote microglial internalization of A{beta}. Interestingly, p38-MAPK deficiency in peripheral myeloid cells reduced il-17a transcription in CD4-positive spleen cells. By cross-breeding APP-transgenic mice and IL-17a knockout mice, we further observed that IL-17a deficiency activated microglia and decreased A{beta} deposits in AD mouse brain. Thus, p38-MAPK deficiency in myeloid cells prevents AD pathogenesis, perhaps through reducing IL-17a-expressing T lymphocytes, and promoting A{beta} clearance in the brain. Our study supports p38-MAPK as a novel target for AD therapy.

neuroscience↗

bioRxiv2021

Molecular pathology of a cystic fibrosis mutation is explained by loss of a hydrogen bond

The phosphorylation-activated anion channel CFTR is gated by an ATP hydrolysis cycle at its two cytosolic nucleotide binding domains, and is essential for epithelial salt-water transport. A large number of CFTR mutations cause cystic fibrosis. Since recent breakthrough in targeted pharmacotherapy, CFTR mutants with impaired gating are candidates for stimulation by potentiator drugs. Thus, understanding the molecular pathology of individual mutations has become important. The relatively common R117H mutation affects an extracellular loop, but nevertheless causes a strong gating defect. Here we identify a hydrogen bond between the side chain of arginine 117 and the backbone carbonyl group of glutamate 1124 in the cryo-electronmicroscopic structure of phosphorylated, ATP-bound CFTR. We address the functional relevance of that interaction for CFTR gating using macroscopic and microscopic inside-out patch-clamp recordings. Employing thermodynamic double-mutant cycles, we systematically track gating-state dependent changes in the strength of the R117-E1124 interaction. We find that the H-bond is formed only in the open state, but neither in the short-lived "flickery" nor in the long-lived "interburst" closed state. Loss of this H-bond explains the entire gating phenotype of the R117H mutant, including robustly shortened burst durations and strongly reduced intraburst open probability. The findings may help targeted potentiator design.

biophysics↗

bioRxiv2021

Building tools for machine learning and artificial intelligence in cancer research: best practices and a case study with the PathML toolkit for computational pathology

Imaging datasets in cancer research are growing exponentially in both quantity and information density. These massive datasets may enable derivation of insights for cancer research and clinical care, but only if researchers are equipped with the tools to leverage advanced computational analysis approaches such as machine learning and artificial intelligence. In this work, we highlight three themes to guide development of such computational tools: scalability, standardization, and ease of use. We then apply these principles to develop PathML, a general-purpose research toolkit for computational pathology. We describe the design of the PathML framework and demonstrate applications in diverse use-cases. PathML is publicly available at www.pathml.com.

cancer biology↗

bioRxiv2021

Deletion of Abi3/Gngt2 influences age-progressive amyloid β and tau pathologies in distinctive ways

The S209F variant of Abelson Interactor Protein 3 (ABI3) increases risk for Alzheimers disease (AD), but little is known about ABI3 function. RNAscope showed Abi3 is expressed in microglial and non-microglial cells, though its increased expression appears to be driven in plaque-associated microglia. Here, we evaluated Abi3-/- mice and document that both Abi3 and its overlapping gene, Gngt2, are disrupted in these mice. Expression of Abi3 and Gngt2 are tightly correlated, and elevated, in rodent models of AD. RNA-seq of the Abi3-Gngt2-/- mice revealed robust induction of an AD-associated neurodegenerative signature, including upregulation of Trem2, Plcg2 and Tyrobp. In APP mice, loss of Abi3-Gngt2 resulted in a gene dose- and age-dependent reduction in A{beta} deposition. Additionally, in Abi3-Gngt2-/- mice, expression of a pro-aggregant form of human tau exacerbated tauopathy and astrocytosis. Further, the AD-associated S209F mutation alters the extent of ABI3 phosphorylation. These data provide an important experimental framework for understanding the role of Abi3-Gngt2 function in AD. Our studies also demonstrate that manipulation of glial function could have opposing effects on amyloid and tau pathology, highlighting the unpredictability of targeting such pathways in AD.

neuroscience↗

bioRxiv2021

VALIS: Virtual Alignment of pathoLogy Image Series

Spatial analyses can reveal important interactions between and among cells and their microenvironment. However, most existing staining methods are limited to a handful of markers per slice, thereby limiting the number of interactions that can be studied. This limitation is frequently overcome by registering multiple images to create a single composite image containing many markers. While there are several existing image registration methods for whole slide images (WSI), most have specific use cases. Here, we present the Virtual Alignment of pathoLogy Image Series (VALIS), a fully automated pipeline that opens, registers (rigid and/or non-rigid), and saves aligned slides in the ome.tiff format. VALIS has been tested with 273 immunohistochemistry (IHC) samples and 340 immunofluorescence (IF) samples, each of which contained between 2-69 images per sample. The registered WSI tend to have low error and are completed within a matter of minutes. In addition to registering slides, VALIS can also using the registration parameters to warp point data, such as cell centroids previously determined via cell segmentation and phenotyping. VALIS is written in Python and requires only few lines of code for execution. VALIS therefore provides a free, opensource, flexible, and simple pipeline for rigid and non-rigid registration of IF and/or IHC that can facilitate spatial analyses of WSI from novel and existing datasets.

cancer biology↗