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Howell, G.

Publications and source records attributed to Howell, G..

18 recordsLinked to original sources

Crop-OCT: a Fully Integrated Imageomics Pipeline to Identify Regional and Focal Retinopathy in Murine Models

Imageomics uses machine learning to accelerate our understanding of biological traits and human disease processes. Some of the earliest imageomics applications used deep learning to assess human diseases. For example, retinal fundus images were analyzed to diagnose diabetic retinopathy. The imaging modality optical coherence tomography (OCT) is widely used to diagnose and monitor the progression of retinopathy in patients and preclinical models. The standardized instrumentation and image format of OCT lends itself to imageomics, but generalizable, automated pipelines for segmentation and quantitation of large numbers of OCT images are still in early development. Here, we present the automated, end-to-end pipeline Crop-OCT that extracts features from thousands of OCT images, while preserving their location within the eye. We used the Crop-OCT pipeline on a diverse dataset, including 13 genetic models of retinopathy, with more than 20,000 OCT images, which allowed us to analyze nearly 6 million measured features. The pipeline was generalized on an independent dataset that was analyzed in a blinded manner. The pipeline enabled us to monitor ocular changes associated with aging and progression of diseases, such as retinitis pigmentosa, Leber congenital amaurosis, achromatopsia, Stargardt disease, diabetic retinopathy, and age-related macular degeneration. We also characterized heterogeneity across animals and identified regional and focal lesions. Our pipeline will unify feature extraction for preclinical models of retinal disease and serve as a foundation for future multimodal data integration for artificial intelligence applications based on imageomics.

neuroscience↗

Resident cardiac macrophages are not required for normal atrioventricular node conduction

Resident cardiac macrophages are understood to facilitate atrioventricular (AV) node conduction because they purportedly couple to AV node myocytes via connexin43 (Cx43) containing gap junctions. We tested this mechanism using biophysical modelling, high-resolution imaging of mouse and human AV conduction tissue, and pharmacological macrophage depletion. In silico, coupling macrophage membrane phenotypes to HCN4+ AV node myocytes imposed an electrotonic load that suppressed pacemaking and promoted conduction slowing, including stable 2:1 block in strand simulations. Anatomically, HCN4-defined components of the mouse AV conduction axis were essentially devoid of Cx43 and overlap of CD68+ macrophages and Cx43 was negligible in both mouse AV node and human penetrating bundle. Finally, near-complete macrophage depletion with CSF1R inhibition (PLX5622) did not alter AV electrical activity in vivo or ex vivo. Together, these data argue against a physiologically relevant role for Cx43-mediated macrophage-myocyte electrical coupling in normal AV node function. HIGHLIGHTSO_LIModelling predicts that AV node automaticity and conduction would be suppressed if macrophages coupled to AV node myocytes C_LIO_LIThe mouse AV conduction axis is essentially devoid of Cx43, currently considered responsible for macrophage-AV node myocyte coupling C_LIO_LIOverlap of macrophages and Cx43 expression is not discernible in the Cx43-expressing human distal AV node C_LIO_LIMacrophage depletion by CSF1R inhibition does not impact AV electrical activity in vivo or ex vivo C_LI

physiology↗

WSB.APP/PS1 mice develop age-dependent cerebral amyloid angiopathy, cerebrovascular deficits, and white matter damage, which are modified by humanized APOE alleles.

INTRODUCTIONGrowing evidence suggests cerebrovascular deficits, including cerebral amyloid angiopathy (CAA), play a key role in Alzheimers disease (AD) pathogenesis. However, these facets of AD are not well understood, due in part to the lack of mouse models that develop robust vascular deficits and CAA. Here, we characterize human-relevant cerebrovascular phenotypes in WSB.APP/PS1 mice with and without humanized APOE alleles. METHODSAD-relevant cerebrovascular phenotypes in WSB, WSB.APP/PS1, WSB.APOE2/2APP/PS1, WSB.APOE3/3APP/PS1, and/or WSB.APOE4/4APP/PS1 mice were characterized using immunohistochemistry, transcriptomics, positron emission tomography/computed tomography, and ex-vivo analyses. RESULTSWSB.APP/PS1 mice exhibited age-related plaque deposition and CAA, significant transcriptomic overlap with human AD, myelin deficits, cerebrovascular/metabolic uncoupling, and altered cerebrovascular morphology. Aged WSB vasculature retained vasoreactivity, but exhibited increased stiffness. Compared to APOE2, APOE4 expression in WSB.APP/PS1 mice increased CAA and plaque-associated microglial area. DISCUSSIONThese data illustrate the utility of the WSB genetic context to model CAA and uncover vascular contributions to AD. HighlightsO_LIWSB.APP/PS1 mice developed CAA with age. C_LIO_LITranscriptomic profiling revealed significant molecular overlap between human AD and WSB.APP/PS1 brains. C_LIO_LITranscriptomics and immunofluorescence suggested age-related myelin deficits in WSB.APP/PS1 brains. C_LIO_LIWSB.APP/PS1 brains exhibited neurovascular uncoupling, changes in vascular volume and surface area, and increased permeability changes. C_LIO_LIWSB.APP/PS1 cerebrovasculature was resilient to loss of responsivity with age but exhibited increased vascular stiffness. C_LIO_LIHumanized APOE {varepsilon}4 alleles significantly increased CAA and parenchymal plaque-associated microglial area in WSB.APP/PS1 mice. C_LI Research in ContextO_LISystematic review: The authors characterized WSB.APP/PS1 as a unique human-relevant model of Alzheimers Disease and explored several facets of cerebrovascular deficits. C_LIO_LIInterpretation: WSB and/or WSB.APP/PS1 mice exhibited human-relevant vascular phenotypes, including CAA, neurovascular uncoupling, increased vascular tree volume, vascular stiffness, and resilience to age-related loss of responsivity. Furthermore, the transcriptomic profile of WSB.APP/PS1 brains significantly overlaps with signatures observed in human AD. WSB.APP/PS1 brains exhibited myelin deficits with age. Furthermore, humanized APOE {varepsilon}2, {varepsilon}3, and {varepsilon}4 alleles significantly modified WSB.APP/PS1 susceptibility to CAA, plaque deposition, and plaque-associated microglial area. C_LIO_LIFuture Directions: The WSB genetic context will be leveraged to identify specific molecular mechanisms associated with cerebrovascular deficits in AD. C_LI

neuroscience↗

CD2AP is Co-Expressed with Tropomyosin-Related Kinase A and Ras-Related Protein Rab-5A in Cholinergic Neurons of the Murine Basal Forebrain

Genome-wide association studies (GWAS) with multiple human populations have uncovered single nucleotide variants of the CD2AP gene locus that are associated with Alzheimers Disease (AD) risk. However, the role of CD2AP in AD pathogenesis remains unknown. In adult PNS neurons, previous work demonstrated that CD2AP functions as a docking-scaffold/adaptor protein coordinator of nerve growth factor (NGF) trophic signaling and RAB5-mediated endocytosis. In the adult CNS, whereas CD2AP is robustly expressed in non-neuronal cells and neurovasculature, neuronal expression is restricted and poorly characterized. In this study using publicly available single cell/nucleus RNA sequencing, we observed that CD2AP mRNA is enriched in a population of TrkA-expressing cholinergic neurons of the adult mouse basal forebrain. Immunohistology using brain tissue from adult choline acetyltransferase (ChAT) GFP reporter mice, confirmed enrichment of CD2AP protein in cholinergic projections, and in neuron soma in the diagonal band of Broca where it co-localized with RAB5. Together with previous studies from NGF-responsive PNS primary sensory neurons, these observations indicate that CD2AP may play a role in retrograde trophic signaling in NGF- responsive CNS cholinergic neurons. In addition, we observed that CD2AP expression in these soma was increased in aged mice (18-month-old), concomitant with a reduction of co-localization with RAB5, suggesting a potential role for CD2AP in aging-associated changes in retrograde trophic signaling in these neurons. Basal forebrain cholinergic neurons project to the hippocampus and cortex, are required for learning and memory, are critical for brain health during aging, and disruption of RAB5 mediated endocytosis in these neurons is central to the pathogenesis of Alzheimers disease (AD). Future studies are therefore warranted to determine if CD2AP risk variants impact endocytosis and trophic signaling in cholinergic neurons in healthy aging and/or AD.

neuroscience↗

IL1A enhances TNF-induced retinal ganglion cell death

Glaucoma is a neurodegenerative disease that leads to the death of retinal ganglion cells (RGCs). A growing body of literature suggests a role for neuroinflammation in RGC death after glaucoma-relevant insults. For instance, it was shown that deficiency of three proinflammatory cytokines, complement component 1, subcomponent q (C1q), interleukin 1 alpha (Il1a), and tumor necrosis factor (Tnf), resulted in near complete protection of RGCs after two glaucoma-relevant insults, optic nerve injury and ocular hypertension. While TNF and C1Q have been extensively investigated in glaucoma-relevant model systems, the role of IL1A in RGC is not as well defined. Thus, we investigated the direct neurotoxicity of IL1A on RGCs in vivo. Intravitreal injection of IL1A did not result in RGC death at either 14 days or 12 weeks after insult. Consistent with previous studies, TNF injection did not result in significant RGC loss at 14 days but did after 12 weeks. Interestingly, IL1A+TNF resulted in a relatively rapid RGC death, driving significant RGC loss two weeks after injection. JUN activation and SARM1 have been implicated in RGC death in glaucoma and after cytokine insult. Using mice deficient in JUN or SARM1, we show RGC loss after IL1A+TNF insult is JUN-independent and SARM1-dependent. Furthermore, RNA-seq analysis showed that RGC death by SARM1 deficiency does not stop the neuroinflammatory response to IL1A+TNF. These findings indicate that IL1A can potentiate TNF-induced RGC death after combined insult is likely driven by a SARM1-dependent RGC intrinsic signaling pathway.

neuroscience↗

Microglia Depletion leads to Increased Susceptibility to Ocular Hypertension-Dependent Glaucoma

In recent years, microglia have been highlighted for playing integral roles in neurodegenerative diseases, like glaucoma. To better understand the role of microglia during chronic ocular hypertension, we depleted microglia from aged (9-12 months old) DBA/2J (D2) mice, which exhibit age-related increases in intraocular pressure, using a dietary CSF1R antagonist, PLX5622. Retinal ganglion cell (RGC) somas were counted, and optic nerve cross-sections stained and assessed for glaucomatous damage. Sustained administration of dietary PLX5622 significantly reduced the numbers of retinal microglia. Dietary PLX5622 did not lead to changes in intraocular pressure in D2 or normotensive DBA/2J-Gpnmb+ (D2-Gpnmb+) control mice. While PLX5622-treated D2-Gpnmb+ did not develop optic nerve damage, PLX5622-treated D2 mice showed a significant increase in moderate-to-severe optic nerve damage compared to D2 mice fed a control diet. In conclusion, global reduction of microglia exacerbated glaucomatous neurodegeneration in D2 mice suggesting microglia play an overall beneficial role in protecting from ocular hypertension associated RGC loss.

neuroscience↗

In vivo validation of late-onset Alzheimer's disease genetic risk factors

Structured AbstractO_ST_ABSIntroductionC_ST_ABSGenome-wide association studies have identified over 70 genetic loci associated with late-onset Alzheimers disease (LOAD), but few candidate polymorphisms have been functionally assessed for disease relevance and mechanism of action. MethodsCandidate genetic risk variants were informatically prioritized and individually engineered into a LOAD-sensitized mouse model that carries the AD risk variants APOE4 and Trem2*R47H. Potential disease relevance of each model was assessed by comparing brain transcriptomes measured with the Nanostring Mouse AD Panel at 4 and 12 months of age with human study cohorts. ResultsWe created new models for 11 coding and loss-of-function risk variants. Transcriptomic effects from multiple genetic variants recapitulated a variety of human gene expression patterns observed in LOAD study cohorts. Specific models matched to emerging molecular LOAD subtypes. DiscussionThese results provide an initial functionalization of 11 candidate risk variants and identify potential preclinical models for testing targeted therapeutics.

neuroscience↗

Characterizing Molecular and Synaptic Signatures in Mouse Models of Late-Onset Alzheimer's Disease Independent of Amyloid and Tau Pathology

Structured AbstractO_ST_ABSINTRODUCTIONC_ST_ABSMODEL-AD is creating and distributing novel mouse models with humanized, clinically relevant genetic risk factors to more accurately mimic LOAD than commonly used transgenic models. METHODSWe created the LOAD2 model by combining APOE4, Trem2*R47H, and humanized amyloid-beta. Mice aged up to 24 months were subjected to either a control diet or a high-fat/high-sugar diet (LOAD2+HFD) from two months of age. We assessed disease-relevant outcomes, including in vivo imaging, biomarkers, multi-omics, neuropathology, and behavior. RESULTSBy 18 months, LOAD2+HFD mice exhibited cortical neuron loss, elevated insoluble brain A{beta}42, increased plasma NfL, and altered gene/protein expression related to lipid metabolism and synaptic function. In vivo imaging showed age-dependent reductions in brain region volume and neurovascular uncoupling. LOAD2+HFD mice also displayed deficits in acquiring touchscreen-based cognitive tasks. DISCUSSIONCollectively the comprehensive characterization of LOAD2+HFD mice reveal this model as important for preclinical studies that target features of LOAD independent of amyloid and tau.

neuroscience↗

Mgl2+ cDC2s coordinate fungal allergic airway type 2, but not type 17, inflammation.

Fungal spores are abundant in the environment and a major cause of asthma. Originally characterised as a type 2 inflammatory disease, allergic airway inflammation that underpins asthma can also involve type 17 inflammation, which can exacerbate disease causing failure of treatments tailored to inhibit type 2 factors. However, the mechanisms that determine the host response to fungi, which can trigger both type 2 and type 17 inflammation in allergic airway disease, remain unclear. We found that CD11c+ DCs and CD4+ T cells are essential for development of both type 2 and type 17 airway inflammation in mice when repeatedly exposed to inhaled spores. Single cell RNA-sequencing enabled the development of multi-parameter cytometry that identified allergic inflammation dramatically altered the proportion of numerous DC clusters in the lung, but that only two of these (Mgl2+ cDC2s and CCR7+ DCs) migrated to the dLNs. Targeted removal of several DC subsets revealed that only Mgl2+ cDC2 depletion dramatically reduced type 2, but not type 17, anti-fungal allergic airway inflammation. These data highlight distinct DC subsets are potential therapeutic targets for the treatment of pulmonary fungal disease.

immunology↗

Hypoxia coordinates the spatial landscape of myeloid cells within glioblastoma to affect outcome

Myeloid cells are highly prevalent in glioblastoma (GBM), existing in a spectrum of phenotypic and activation states. We currently have limited knowledge of the tumour microenvironment (TME) determinants that influence the localisation and the functions of the diverse myeloid cell populations in GBM. Here we have utilised orthogonal imaging mass cytometry with single cell and spatial transcriptomics approaches to identify and map the various myeloid populations in the human GBM tumour microenvironment (TME). Our results show that different myeloid populations have distinct and reproducible compartmentalisation patterns in the GBM TME that is driven by tissue hypoxia, regional chemokine signalling, and varied homotypic and heterotypic cellular interactions. We subsequently identified specific tumour sub-regions in GBM, based upon composition of identified myeloid cell populations, that were linked to patient survival. Our results provide new insight into the spatial organisation of myeloid cell sub populations in GBM, and how this is predictive of clinical outcome. TeaserMulti-modal mapping reveals that the spatial organisation of myeloid cells in glioblastoma impacts disease outcome.

cancer biology↗

Genetic modifiers of Cep290-mediated retinal degeneration

Mutations in CEP290 cause up to 30% of cases of Leber congenital amaurosis (LCA), a severe childhood blindness resulting from abnormalities in the photoreceptor connecting cilia that lead to rapid retinal degeneration. Like many genetic diseases, CEP290-LCA has considerable variable expressivity, indicating the presence of other factors that influence phenotypic outcome. Here, we have undertaken a phenotype-driven approach in mice to identify genetic modifiers of CEP290-mediated retinal degeneration through backcrosses and intercrosses between BXD24-Cep290rd16 mice and the genetically distinct inbred CAST strain to introduce genetic variation. Optical coherence tomography was used to quantitatively measure retinal thickness as a surrogate indication of photoreceptor degeneration in the resulting rd16-mutant mice. It was readily apparent that CEP290-mediated retinal degeneration in the resulting mice is sensitive to genetic background, with some mice exhibiting relatively thick laminated retinas and others having thin retinas with advanced disease. Quantitative trait locus (QTL) analysis identified multiple genomic loci capable of influencing the retinal degeneration phenotype in Cep290-mutant mice that together account for 71.7% of the phenotypic variation in retinal thickness observed in our population. Following the QTL analysis, two suppressor loci were studied in detail through a combination of physical and molecular approaches to narrow the critical region for each QTL and identify the probable causative genetic variations.

genetics↗

Transcriptomic and epigenomic dynamics of honey bees in response to lethal IAPV viral infection

Honey bees (Apis mellifera L) suffer from many brood pathogens, including viruses. Despite considerable research, the molecular responses and dynamics of honey bee pupae to viral pathogens remain poorly understood. Israeli Acute Paralysis Virus (IAPV) is emerging as a model virus since its association with severe colony losses. Using worker pupae, we studied the transcriptomic and methylomic consequences of IAPV infection over three distinct time points after inoculation. Contrasts of gene expression and 5mC DNA methylation profiles between IAPV-infected and control individuals at these time points--corresponding to the pre-replicative (5 hr), replicative (20 hr), and terminal (48 hr) phase of infection--indicate that profound immune responses and distinct manipulation of host molecular processes accompany the lethal progression of this virus. We identify the temporal dynamics of the transcriptomic response to with more genes differentially expressed in the replicative and terminal phases than in the pre-replicative phase. However, the number of differentially methylated regions decreased dramatically from the pre-replicative to the replicative and terminal phase. Several cellular pathways experienced hyper- and hypo-methylation in the pre-replicative phase and later dramatically increased in gene expression at the terminal phase, including the MAPK, Jak-STAT, Hippo, mTOR, TGF-beta signaling pathways, ubiquitin mediated proteolysis, and spliceosome. These affected biological functions suggest that adaptive host responses to combat the virus are mixed with viral manipulations of the host to increase its own reproduction, all of which are involved in anti-viral immune response, cell growth, and proliferation. Comparative genomic analyses with other studies of viral infections of honey bees and fruit flies indicated that similar immune pathways are shared. Our results further suggest that dynamic DNA methylation responds to viral infections quickly, regulating subsequent gene activities. Our study provides new insights of molecular mechanisms involved in epigenetic that can serve as foundation for the long-term goal to develop anti-viral strategies for honey bees, the most important commercial pollinator. Author SummaryHoney bees, the most important managed pollinators, are experiencing unsustainable mortality. Israeli Acute Paralysis Virus (IAPV) causes economically important disease in honey bees, and it is emerging as a model system to study viral pathogen-host interactions in pollinators. The pupation stage is important for bee development but individuals are particularly vulnerable for parasitic mite infestations and viral infections. Currently, it is unclear how honey bee pupae respond to this virus. However, these responses, including gene expression and DNA methylomic changes, are critical to understand so that anti-viral genes can be identified and new anti-viral strategies be developed. Here, we use next-generation sequencing tools to reveal the dynamic changes of gene expression and DNA methylation as pupae succumb to IAPV infections after 5, 20, and 48 hours. We found that IAPV causes changes in regions of DNA methylation more at the beginning of infection than later. The activity of several common insect immune pathways are affected by the IAPV infections, as are some other fundamental biological processes. Expression of critical enzymes in DNA methylation are also induced by IAPV in a temporal manner. By comparing our results to other virus studies of honey bees and fruit flies, we identified common anti-viral immune responses. Thus, our study provides new insight on the genome responses of honey bees over the course of a fatal virus infection with theoretical and practical implications.

genomics↗

The Alzheimer's disease protective P522R variant of PLCG2, consistently enhances stimulus-dependent PLCγ2 activation, depleting substrate and altering cell function.

Recent genome-wide association studies of Alzheimers disease (AD) have identified variants implicating immune pathways in disease development. A rare coding variant of PLCG2, which encodes PLC{gamma}2, shows a significant protective effect for AD (rs72824905, P522R, P=5.38x10-10, Odds Ratio = 0.68). Molecular dynamic modelling of the PLC{gamma}2-R522 variant, situated within the auto-inhibitory domain of PLC{gamma}2, suggests a structural change to the protein. Through CRISPR-engineering we have generated novel PLCG2-R522 harbouring human induced pluripotent cell lines (hiPSC) and a mouse knockin model, neither of which exhibits alterations in endogenous PLCG2 expression. Mouse microglia and macrophages and hiPSC-derived microglia-like cells with the R522 mutation, all demonstrate a consistent non-redundant hyperfunctionality in the context of normal expression of other PLC isoforms. This signalling alteration manifests as enhanced cellular Ca2+ store release ([~]20-40% increase) in response to physiologically-relevant stimuli (e.g. Fc receptor ligation and A{beta} oligomers). This hyperfunctionality resulted in increased PIP2 depletion in the cells with the PLC{gamma}2-R522 variant after exposure to stimuli and reduced basal detection of PIP2 levels in vivo. These PLC{gamma}2-R522 associated abnormalities resulted in impairments to phagocytosis (fungal and bacterial particles) and enhanced endocytosis (A{beta} oligomers and dextran). PLC{gamma}2 sits downstream of disease relevant pathways, such as TREM2 and CSF1R and alterations in its activity, direct impacts cell function, which in the context of the inherent drugability of enzymes such as PLC{gamma}2, raise the prospect of manipulation of PLC{gamma}2 as a therapeutic target in Alzheimers Disease.

neuroscience↗

Deficiency of complement component C1Q prevents cerebrovascular damage and white matter loss in a mouse model of chronic obesity

Age-related cognitive decline and many dementias involve complex interactions of both genetic and environmental risk factors. Recent evidence has demonstrated a strong association of obesity with the development of dementia. Furthermore, white matter damage is found in obese subjects and mouse models of obesity. Here, we found that components of the complement cascade, including C1QA and C3 are increased in the brain of western diet (WD)-fed obese mice, particularly in white matter regions. To functionally test the role of the complement cascade in obesity induced brain pathology, female and male mice deficient in complement component 1qa (C1QA), an essential molecule in the activation of the classical pathway of the complement cascade, were fed a WD and compared to WD-fed WT mice, and to C1qa knockout (KO) and WT mice fed a control diet (CD). C1qa KO mice fed a WD became obese but did not show pericyte loss or a decrease in laminin density in the cortex and hippocampus that was observed in obese WT controls. Furthermore, obesity-induced microglia phagocytosis and breakdown of myelin in the corpus callosum were also prevented by deficiency of C1QA. Collectively, these data show that C1QA is necessary for damage to the cerebrovasculature and white matter damage in diet-induced obesity. SIGNIFICANCE STATEMENTEconomic growth, an increasingly sedentary lifestyle and a nutritional transition to processed foods and high calorie diets have led to a significant increase in obesity prevalence. Several chronic diseases have been associated with obesity, including dementia. Obesity-induced, peripheral inflammation has been proposed as a possible trigger of pathological changes in the brain that lead to cognitive dysfunction and predisposition to dementia. Here we show that genetic deletion of the complement component C1QA prevents cerebrovascular damage, neuroinflammation and white matter degradation in a mouse model of western diet-induced obesity, demonstrating that inflammatory responses play a significant role in obesity-induced brain pathology. The complement pathway is an attractive therapeutic target to prevent cognitive decline and reduction of dementia risk caused by obesity.

neuroscience↗

A novel mouse model expressing human forms for complement receptors CR1 and CR2

The complement cascade is increasingly implicated in development of a variety of diseases with strong immune contributions such as Alzheimers disease and Systemic Lupus Erythematosus. Mouse models have been used to determine function of central components of the complement cascade such as C1q and C3. However, species differences in their gene structures mean that mice do not adequately replicate human complement regulators, including CR1 and CR2. Genetic variation in CR1 and CR2 have been implicated in modifying disease states but the mechanisms are not known. To decipher the roles of human CR1 and CR2 in health and disease, we engineered C57BL/6J (B6) mice to replace endogenous murine Cr2 with human complement receptors, CR1 and CR2 (B6.CR2CR1). CR1 has an array of allotypes in human populations and using traditional recombination methods (Flp-frt and Cre-loxP) two of the most common alleles (referred to as CR1long and CR1short) are replicated within this mouse model, along with a CR1 knockout allele (CR1KO). Transcriptional profiling of spleens and brains identifies genes and pathways differentially expressed between mice homozygous for either CR1long, CR1short or CR1KO. Gene set enrichment analysis predicts hematopoietic cell number and cell infiltration are modulated by CR1long, but not CR1short or CR1KO. Therefore, this mouse model provides a novel tool for determining the relationship between human-relevant CR1 alleles and disease. Summary StatementWe present the creation and validation of a novel mouse model that expresses human forms of complement cascade regulators CR1 and CR2.

genetics↗

Genetic perturbations of disease risk genes in mice capture transcriptomic signatures of late-onset Alzheimer’s disease

BackgroundNew genetic and genomic resources have identified multiple genetic risk factors for late-onset Alzheimers disease (LOAD) and characterized this common dementia at the molecular level. Experimental studies in model organisms can validate these associations and elucidate the links between specific genetic factors and transcriptomic signatures. Animal models based on LOAD-associated genes can potentially connect common genetic variation with LOAD transcriptomes, thereby providing novel insights into basic biological mechanisms underlying the disease.\n\nMethodsWe performed RNA-Seq on whole brain samples from a panel of six-month-old female mice, each carrying one of the following mutations: homozygous deletions of Apoe and Clu; hemizygous deletions of Bin1 and Cd2ap; and a transgenic APOE{varepsilon}4. Similar data from a transgenic APP/PS1 model was included for comparison to early-onset variant effects. Weighted gene co-expression network analysis (WGCNA) was used to identify modules of correlated genes and each module was tested for differential expression by strain. We then compared mouse modules with human postmortem brain modules from the Accelerating Medicines Partnership for AD (AMP-AD) to determine the LOAD-related processes affected by each genetic risk factor.\n\nResultsMouse modules were significantly enriched in multiple AD-related processes, including immune response, inflammation, lipid processing, endocytosis, and synaptic cell function. WGCNA modules were significantly associated with Apoe-/-, APOE{varepsilon}4, Clu-/-, and APP/PS1 mouse models. Apoe-/-, GFAP-driven APOE{varepsilon}4, and APP/PS1 driven modules overlapped with AMP-AD inflammation and microglial modules; Clu-/- driven modules overlapped with synaptic modules; and APP/PS1 modules separately overlapped with lipid-processing and metabolism modules.\n\nConclusionsThis study of genetic mouse models provides a basis to dissect the role of AD risk genes in relevant AD pathologies. We determined that different genetic perturbations affect different molecular mechanisms comprising AD, and mapped specific effects to each risk gene. Our approach provides a platform for further exploration into the causes and progression of AD by assessing animal models at different ages and/or with different combinations of LOAD risk variants.

neuroscience↗

Staging Alzheimer’s disease in the brain and retina of B6.APP/PS1 mice by transcriptional profiling

Alzheimers disease (AD) is a common form of dementia characterized by amyloid plaque deposition, TAU pathology, neuroinflammation and neurodegeneration. Mouse models recapitulate some key features of AD. For instance, the B6.APP/PS1 model (carrying human transgenes for mutant forms of APP and PSEN1) shows plaque deposition and associated neuroinflammatory responses involving both astrocytes and microglia beginning around 6 months of age. However, in our colony, TAU pathology, significant neurodegeneration and cognitive decline are not apparent in this model even at older ages. Therefore, this model is ideal for studying neuroinflammatory responses to amyloid deposition. Here, RNA sequencing of brain and retinal tissue, generalized linear modeling (GLM), functional annotation followed by validation by immunofluorescence (IF) was performed in B6.APP/PS1 mice to determine the earliest molecular changes prior to and around the onset of plaque deposition (2-6 months of age). Multiple pathways were shown to be activated in response to amyloid deposition including the JAK/STAT and NALFD pathways. Putative, cell-specific targets of STAT3, a central component of the JAK/STAT pathway, were identified that we propose provide more precise options for assessing the potential for targeting activation of the JAK/STAT pathway as a treatment for human AD. In the retina, GLM predicted activation of vascular-related pathways. However, many of the gene expression changes comparing B6 with B6.APP/PS1 retina samples occurred prior to plaque onset (2 months of age). This suggests retinal changes in B6.APP/PS1 mice may be an artefact of overexpression of mutant forms of APP and PSEN1 providing limited translatability to human AD. Therefore, caution should be taken when using this mouse model to assess the potential of using the eye as a window to the brain for AD.

neuroscience↗

Functional dissection of Alzheimer’s disease brain gene expression signatures in humans and mouse models

Human brain transcriptomes can highlight biological pathways associated with Alzheimers disease (AD); however, challenges remain to link expression changes with causal triggers. We have examined 30 AD-associated, gene coexpression modules from human brains for overlap with 251 differentially-expressed gene sets from mouse brain RNA-sequencing experiments, including from models of AD and other neurodegenerative disorders. Human-mouse overlaps highlight responses to amyloid versus neurofibrillary tangle pathology and further reveal age- and sex-dependent expression signatures for AD progression. Human coexpression modules enriched for neuronal and/or microglial genes overlap broadly with signatures from mouse models of AD, Huntingtons disease, Amyotrophic Lateral Sclerosis, and also aging. Several human AD coexpression modules, including those implicated in the unfolded protein response and oxidative phosphorylation, were not activated in AD models, but instead were detected following other, unexpected mouse genetic manipulations. Our results comprise a powerful, cross-species resource and pinpoint experimental models for diverse features of AD pathophysiology from human brain transcriptomes.

systems biology↗