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Carter, G. W.

Publications and source records attributed to Carter, G. W..

At least 19 recordsLinked to original sources

Characterization of the knock-in AppSAA mouse model as a powerful tool for Alzheimer's disease preclinical research.

BACKGROUND: Preclinical Alzheimer's disease (AD) research requires models with age-dependent, physiologically relevant amyloid pathology, unlike overexpression in transgenic lines. We characterized the humanized AppSAA knock-in model to define translationally relevant therapeutic windows. METHODS: Homozygous AppSAA and control mice were evaluated from 4 to 19 months using whole-brain 3D plaque imaging, cerebral amyloid angiopathy (CAA) quantification, multiplex neuropathology, brain transcriptomics, and plasma biomarkers. Hippocampal synaptic analysis and context-dependent memory was performed at 12 months. RESULTS: Plaques, CAA, plaque-associated neuroinflammation, and dystrophic neurites accumulated with age. By 12 months, brain transcriptomes aligned with human AMP-AD co-expression modules, and plasma pTau-217, GFAP, and SNAP25 rose with age. AppSAA mice retained associative memory but showed memory interference and CA1 dendritic-spine loss that was exacerbated in proximity to plaques. CONCLUSIONS: AppSAA mice recapitulate age-dependent, human-relevant AD phenotypes with defined therapeutic windows for preclinical research. The model is available without restriction from The Jackson Laboratory.

neuroscience↗

Aberrant neuronal cell cycle re-entry induces late-onset Alzheimer's disease relevant neuropathological and gene expression changes

Aberrant neuronal cell cycle re-entry (NCCR) is an alternative pathogenic mechanism in Alzheimer disease (AD) that has gained substantial support in the literature. The pathogenic role of ectopic NCCR is supported by our past work demonstrating that SV40T-mediated NCCR in adult mice can induce numerous pathologies associated with AD. Since NCCR is chronically induced for an extended period in the mouse model which gives rise to numerous pathologies including neuroinflammation, many of these neuropathological changes could simultaneously participate in driving disease progression. We hypothesized that the NCCR is a primary pathogenic driver and that halting this disease process at a later age could be sufficient for preventing the progression of AD-related pathologies. Here we show that modulation of NCCR at a later age prevents the progression of AD pathologies, including Abeta; and tau pathologies. Furthermore, functional genomics analysis demonstrates the late-onset AD (LOAD)-relevance of NCCR. Our findings suggest that our NCCR mouse model could help identify novel therapeutic targets that could aid in preventing AD progression.

neuroscience↗

MTHFR*677C>T produces distinct prodromal disease signatures in a mouse model of late-onset Alzheimer's disease

Background: Late-onset Alzheimer's disease (LOAD) comprises more than 95% of all AD cases. Transgenic, overexpression animal models have off target side effects, do not effectively produce the heterogeneity observed clinically in LOAD patients, and are therefore not best suited for preclinical therapeutic development. The Model Organism Development and Evaluation for Late-onset Alzheimer's Disease (MODEL-AD) Consortium was established to develop novel mouse strains to model human-relevant genetic and environmental risk factors for LOAD. Methylenetetrahydrofolate reductase (MTHFR) is an enzyme in the folate/methionine pathway. Variants in the MTHFR gene, notably 677C>T, are associated with ADRD, and we have previously shown the Mthfr677C>T mouse model phenocopies humans carrying the variant and develop cerebrovascular deficits. Methods: To examine the contributions of Mthfr677C>T in the context of late-onset Alzheimer's disease (LOAD), MODEL-AD created a novel mouse strain on the C57BL/6J (B6) background that was homozygous for Mthfr677C>T, in combination with humanized Abeta;, APOEe4, and Trem2*R47H (referred to as LOAD2.Mthfr677C>T). Mice were assessed over multiple ages for disease-relevant phenotypes. Regular behavior measurements and biometric samples were collected longitudinally to 24 months of age. Blood and brain tissue were collected for transcriptomics, proteomics, human disease correlation, and neuropathology. Results: Despite lacking hallmark pathologies such as amyloid deposition and significant neuroinflammation, compared to LOAD2 controls, LOAD2.Mthfr677C>T mice showed transcriptional and proteomic signatures in the brain that relate to the cerebrovasculature, myelination, and synaptic biology, similar to those seen in human LOAD patients. Conclusions: These data further support the use of the LOAD2.Mthfr677C>T mouse model to study aspects of ADRD such as cerebrovascular compromise.

neuroscience↗

Molecular mechanisms underlying amyloid lowering by aducanumab: differential and comparative effects of sex and IgG reveal the post-treatment disease brain

INTRODUCTIONImproving the predictive validity of preclinical studies for Alzheimers disease (AD) requires rigorous evaluation of therapeutic efficacy, safety, and sex-specific responses in translationally relevant models. As amyloid-targeting monoclonal antibodies continue to advance clinically, there is an urgent need to define the molecular milieu that persists after amyloid is reduced and disease progression continues. Leveraging the NIA-funded MODEL-AD Preclinical Testing Core, we investigated the biochemical, functional, and multi-omic signatures associated with chronic administration of murine chimeric aducanumab (chAdu) in 5XFAD mice, including the contribution of IgG-mediated effects. METHODSMale and female 5XFAD mice were treated weekly with chAdu beginning at 8 months of age and compared to age-and sex-matched murine IgG2a{kappa} isotype (IgG) and saline controls. Plasma and brain pharmacokinetics, amyloid-beta (A{beta}), behavioral assessments, and treatment-emergent anti-drug antibodies (ADAs) were quantified. Post-treatment transcriptomic and proteomic analyses were performed to assess molecular pathways associated with chAdu and IgG exposure following 17-week treatment. RESULTSchAdu produced sex-dependent changes in A{beta}, including increased plasma A{beta}42:40 and reductions in brain A{beta} which were associated with mild behavioral impairments in the absence of improvements in cognitive function. IgG control treatment produced similar reductions, indicating biologically active IgG-mediated processes independent of A{beta}-targeted specificity. Treatment-emergent ADAs occurred in 10% of chAdu-treated mice and were associated with reduced drug exposure and efficacy. Multi-omics analyses confirmed sex-dependent and IgG-mediated effects at both the transcriptomic and proteome level revealing disease-associated genes and proteins not altered despite reductions in amyloid with treatment. DISCUSSIONThese findings demonstrate sex-dependent PK and pharmacodynamic responses to chAdu, identify biologically meaningful IgG-driven effects, and reveal molecular signatures that persist after amyloid reduction. This work provides biological insights into pathways that may remain insufficiently addressed following amyloid lowering; revealing novel targets for future drug discovery to prevent and treat disease.

neuroscience↗

PSEN1 mutant marmoset fibroblasts mimic multi-omic signatures of Alzheimer's disease

INTRODUCTIONThe slow, age-related development of Alzheimers disease (AD) and inaccessibility of early-stage brain tissue necessitates model studies to understand its origins and progression. Non-human primate models can provide a platform for linking molecular changes to translatable phenotypes. Here, we assess fibroblast lines derived from marmosets with engineered variants in the PSEN1 gene. METHODSFibroblast cultures were obtained from 10 animals and assayed using a NanoString AD gene expression panel and label-free proteomics. We compared mutant expression changes to human AD signatures in human iPSC-derived neurons and postmortem brains to assess disease relevance. RESULTSGene products involved in amyloid-beta interaction and regulation were differentially expressed, providing evidence for the functional relevance of the engineered fibroblasts. Both gene and protein expression changes in the undifferentiated fibroblasts correlated with human iPSCs from AD donors reprogrammed into neuronal lineages, as well as postmortem brains derived from case-control cohorts. Altered expression profiles were noted based on marmoset donor sex and mutation status, highlighting underlying sex-specific biology relevant to Alzheimers disease. DISCUSSIONThese findings demonstrate that disease-relevant pathways and processes are altered in fibroblasts from mutant marmosets, emphasize the complementarity of transcriptomic and proteomic profiling in AD, and provide a roadmap for more advanced molecular studies of AD in aging marmosets and marmoset-derived cell models.

genomics↗

Humanized Klotho haplotypes cause widespread transcriptomic changes in mouse brain

Klotho KL is an aging factor that has been associated with Alzheimers Disease (AD) risk. Two common alleles circulate in human populations: the major allele FC and the minor allele VS, which is defined by two SNPs that cause two amino acid substitutions (F352V and C370S) in KLs second exon. To investigate the possibility that human KL variants influence brain aging and cognition, we developed a novel mouse model with humanized KL alleles. We used RNA-Seq to measure the whole brain transcriptome in four-and 12-month-old male and female C57Bl/6J mice carrying either the FC or the VS KL allele. We found that FC and VS carriers had widespread differences in gene expression in the brain at 12 months old, but not at four months old. The largest differences were in genes annotated to mitochondrial, ribosomal, and synaptic functions. Differential exon usage analysis identified differential splicing of synaptic genes, further supporting a role for KL on neuronal function. A more focused analysis of differential expression identified variation in glutamate receptors and amyloid precursor (APP) processing in particular, thereby linking human KL haplotypes to biological processes integral to AD pathogenesis. These results provide evidence that the human FC and VS KL haplotypes affect the function of the KL protein product in a manner that has widespread effects on gene expression in the brain and supports the hypothesis that these haplotypes may influence AD risk and pathogenesis.

genetics↗

A Complete Genome for the Common Marmoset

The common marmoset is a New World monkey (NWM) commonly used as a model organism to investigate questions in primate evolution and human disease, including Alzheimers and other neurodegenerative diseases, as well as neuropsychiatric disorders. Here we present the first telomere-to-telomere (T2T) reference genome for the common marmoset, adding over 88 Mb of sequence and resolving challenging genomic regions. An additional near-T2T assembly from a second unrelated individual yields a total of four high-quality haplotypes for analysis. The improved contiguity and accuracy of these assemblies enable unprecedented insights into complex and rapidly evolving genomic regions such as centromeres, sex chromosomes, ribosomal DNA (rDNA) structure, and the major histocompatibility complex (MHC). We fully resolved all marmoset centromeres, uncovering dimeric alpha satellites with chromosomal specificity and stratified inactive layers documenting ancestral centromere turnover. We assembled six acrocentric autosomes with gene-poor, satellite-rich short arms and provide evidence that most of them can harbor rDNA and all of them share large pseudo-homologous regions (PHRs). The Y chromosome, but not the X chromosome, carries active rDNA and PHRs, and the rDNA copy number is sexually dimorphic. Chromosomes that share PHRs also share closely related centromeric satellite DNA, supporting a model of ongoing recombinational exchange between heterologous chromosomes facilitated by rDNA. We discovered multiple novel, marmoset-specific MHC genes that are predicted to protect against pathogens encountered in its environment. Leveraging this complete reference, we further identified over 500 transcribed genes with transcript models or expansions specific to the marmoset lineage. Together with additional long-read marmoset assemblies, these genomes were used to construct a marmoset pangenome, providing a robust reference framework for short-read mapping across diverse individuals. This resource will improve the utility of the common marmoset as a biomedical model organism and fill key gaps in our understanding of primate evolution.

genomics↗

Single-subject Proteomic Signatures in Alzheimers Disease Reflect Clinical Phenotypes and Distinguish Asymptomatic from Symptomatic Cases

INTRODUCTIONAlzheimers Disease (AD) exhibits considerable inter-individual variability in clinical presentation, neuropathological burden, and underlying molecular processes. Conventional cohort-based analyses of omics molecular data often mask individual-level heterogeneity, limiting insights into the precision therapeutic strategies. To address this challenge, we developed INDIGO (INdividual-level DIfferential GenOmics), a computational framework that quantifies molecular deviations for each individual relative to healthy controls, enabling subject-specific profiling of diseaseassociated alterations in proteomic data, with a framework that is readily applicable to other omics modalities. METHODSWe applied INDIGO to dorsolateral prefrontal cortex (DLPFC) proteomic data from ROSMAP cohort (N = 610). Protein level deviations were aggregated into gene set activity scores for KEGG pathways and curated AD Biodomain annotations. Functional alterations across AD and Asymptomatic AD (AsymAD) individuals were evaluated and correlated with clinical metrics including APOE4 genotype, Braak stage, CERAD and MMSE scores. Graph-based clustering was used to identify molecularly distinct subgroups based on shared patterns of functional dysregulation. RESULTSLimited overlap was observed between cohort-level differential expression analysis and INDIGO single-subject analyses. Individual deviations in various processes, including metabolic, immune and epigenetic pathways, exhibited sex- and disease stage-specific patterns. Amyloid clearance and immune activation were strongly associated with APOE4 dosage, higher amyloid and tau burden and cognitive decline, whereas upregulation of mitochondrial and synaptic modules correlated positively with preserved cognitive function. By linking individuals through concordant directional proteomic changes, we identified molecularly coherent subgroups that transcend conventional diagnostic boundaries and include both AD and AsymAD subjects. Each subgroup displayed distinct functional signatures and defined by a unique set of key regulatory proteins. DISCUSSIONThese results demonstrate that single-subject omics profiling can resolve individual molecular signatures aligned with clinical and neuropathological variation in AD. By linking molecular heterogeneity with disease phenotypes, INDIGO provides a scalable framework for precision modeling and novel therapeutic target discovery.

neuroscience↗

Trem2*R47H and reduced TREM2 expression both mimic human Alzheimer's disease signatures in mice

INTRODUCTIONTREM2 loss of function variants are associated with late-onset Alzheimers disease (LOAD). We molecularly assessed mice with the missense variant, R47H (Trem2*R47HHSS), and mice with additional cryptic splicing and reduced Trem2 expression (Trem2*R47H) while comparing relevance to human LOAD. METHODSThe aberrant splice acceptor site in the Trem2*R47H mouse was humanized resulting in the Trem2*R47H humanized splice site (Trem2*R47HHSS) mouse. RNA sequencing was performed on mouse brain tissue and signatures were compared to human postmortem brain expression in LOAD cohorts. RESULTSTrem2*R47H mice had alternative splicing leading to reduced Trem2 expression; Trem2*R47HHSS mice expressed Trem2 at wild-type transcript and protein levels. Both models correlated with similar LOAD-associated signatures, and had similar effects on immune response, synapse, and vasculature biodomains. The Trem2*R47H model additionally affected extracellular matrix and myelination signatures. DISCUSSIONWe demonstrated that Trem2*R47H and Trem2*R47HHSS mice are complementary models for the study of molecular contributions to LOAD pathology.

neuroscience↗

Mapping cross-domain drivers of Alzheimer's disease risk through integrated network analysis

IntroductionAlzheimers Disease (AD) is a complex neurodegenerative disorder with numerous known risk factors. Identification of which genetic factors are causal drivers is difficult due to the long disease prodrome in an inaccessible organ. The application of integrative, systems-level approaches are crucial for addressing this complexity. MethodsSixteen biological domain specific interaction networks were derived from the top AD risk- enriched proteins within each domain. Weighted key driver analysis identified influential hub nodes within each network. ResultsDistinct processes and drivers were identified within each domains network. Domains including Structural Stabilization, Endolysosome, and Lipid Metabolism were especially influential. Integrating key drivers across domains identified consistent drivers such as CTNNB1, ACSL1, and ALDH3A2, suggesting fundamental roles contributing to AD risk. DiscussionThis highly integrative network-based approach identified context-dependent drivers and enabled the inference of interactions between domains. The identified drivers suggest potential targets for future therapeutic development.

systems biology↗

Integrated phenotypic and proteomic screening identifies top-tier Alzheimer's disease therapeutic targets

IntroductionAlzheimers disease (AD) is a complex neurodegenerative disorder. Hundreds of therapeutic targets have been nominated through genetic and multi-omic studies, but effective prioritization remains a major bottleneck. MethodsWe applied an integrative screening framework to assess 29 candidate targets from risk-enriched biological domains. Using disease-relevant murine BV2 microglial cell lines with stable Psen2 knockdown, we performed siRNA-mediated perturbations followed by cellular phenotypic assays and quantitative proteomics. ResultsTwenty-five candidate targets significantly altered at least one phenotype, with stronger effects in Psen2 knockdown cells. Integrated proteomic analyses identified several perturbations that reversed AD-associated molecular patterns. Five targets--Ap2a2, Pdhb, Pdha1, Dlat, and Psmc3-- impacted both phenotypes and related proteomic responses. DiscussionWe established a scalable platform for target functional validation that bridges unbiased systems-level assessments of AD risk with experimental evidence. The ESSJ TREAT-AD center will prioritize further resource development for these validated targets.

systems biology↗

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↗

Kat5 cKO Biological Domain Signatures Align with Human Alzheimer Disease

BACKGROUNDAlzheimers disease (AD) is associated with amyloid plaques and can be caused by autosomal dominant mutations in APP or PSEN1/2, which form an enzyme substrate complex. Decreases in catalysis of AD mutant APP and PSEN1 supports the hypothesis that membrane delimitation of KAT5 could contribute to AD. METHODSWe compare the hippocampal transcriptome profiles of the Kat5 brain-specific knockout mouse to multiple AD datasets through alignment with the TREAT-AD AD biological domains. We examine KAT5 subcellular localization in human WT and AD neurons. RESULTSThe Kat5 KO mouse demonstrates downregulation of synaptic genes, metabolic pathways, and upregulation of DNA replication and repair, cell cycle and immune response genes. We see similar profiles in Kat5 and comparative AD datasets. KAT5 is restricted to the cytosol in human AD neurons. DISCUSSIONThis analysis supports the hypothesis that KAT5 nuclear signaling down stream of APP cleavage plays a pivotal role in neuronal homeostasis and immune regulation.

neuroscience↗

Transcripts with high distal heritability mediate genetic effects on complex metabolic traits

Although many genes are subject to local regulation, recent evidence suggests that complex distal regulation may be more important in mediating phenotypic variability. To assess the role of distal gene regulation in complex traits, we combined multi-tissue transcriptomes with physiological outcomes to model diet-induced obesity and metabolic disease in a population of Diversity Outbred mice. Using a novel high-dimensional mediation analysis, we identified a composite transcriptome signature that summarized genetic effects on gene expression and explained 30% of the variation across all metabolic traits. The signature was heritable, interpretable in biological terms, and predicted obesity status from gene expression in an independently derived mouse cohort and multiple human studies. Transcripts contributing most strongly to this composite mediator frequently had complex, distal regulation distributed throughout the genome. These results suggest that trait-relevant variation in transcription is largely distally regulated, but is nonetheless identifiable, interpretable, and translatable across species.

genetics↗

An explainable graph neural network approach for integrating multi-omics data with prior knowledge to identify biomarkers from interacting biological domains.

The rapid growth of multi-omics datasets, in addition to the wealth of existing biological prior knowledge, necessitates the development of effective methods for their integration. Such methods are essential for building predictive models and identifying disease-related molecular markers. We propose a framework for supervised integration of multi-omics data with biological priors represented as knowledge graphs. Our framework leverages graph neural networks (GNNs) to model the relationships among features from high-dimensional omics data and set transformers to integrate low-dimensional representations of omics features. Furthermore, our framework incorporates explainability methods to elucidate important biomarkers and extract interaction relationships between biological quantities of interest. We demonstrate the effectiveness of our approach by applying it to Alzheimers disease (AD) multi-omics data from the ROSMAP cohort, showing that the integration of transcriptomics and proteomics data with AD biological domain network priors improves the prediction accuracy of AD status and highlights functional AD biomarkers.

bioinformatics↗

Marmosets as model systems for the study of Alzheimers disease and related dementias: substantiation of physiological Tau 3R and 4R isoform expression and phosphorylation

INTRODUCTIONMarmosets have been shown to spontaneously develop pathological hallmarks of Alzheimers disease (AD) during advanced age, including amyloid-beta plaques, positioning them as a model system to overcome the rodent-to-human translational gap for AD. However, Tau expression in the marmoset brain has been understudied. METHODSTo comprehensively investigate Tau isoform expression in marmosets, brain tissue from eight unrelated marmosets across various ages was evaluated and compared to human postmortem AD tissue. Microtubule-associated protein tau (MAPT) mRNA expression and splicing were confirmed by RT-PCR. Tau isoforms in the marmoset brain were examined by western blot, mass spectrometry, immunofluorescence, and immunohistochemical staining. Synaptic Tau expression was analyzed from crude synaptosome extractions. RESULTS3R and 4R Tau isoforms are expressed in marmoset brains at both transcript and protein levels across ages. Results from western blot analysis were confirmed by mass spectrometry, which revealed that Tau peptides in marmoset corresponded to the 3R and 4R peptides in the human AD brain. 3R Tau was primarily enriched in neonate brains, and 4R enhanced in adult and aged brains. Tau was widely distributed in neurons with localization in the soma and synaptic regions. Phosphorylation residues were observed on Thr-181, Thr-217, and Thr-231, Ser202/Thr205, Ser396/Ser404. Paired helical filament (PHF)-like aggregates were also detected in aged marmosets. DISCUSSIONOur results confirm the expression of both 3R and 4R Tau isoforms and important phosphorylation residues in the marmoset brain. These data emphasize the significance of marmosets with natural expression of AD-related hallmarks as important translational models for the study of AD.

systems biology↗

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↗

Metabolomics profiling reveals distinct, sex-specific signatures in the serum and brain metabolomes in the mouse models of Alzheimer's disease

Structured AbstractO_ST_ABSINTRODUCTIONC_ST_ABSIncreasing evidence suggests that metabolic impairments contribute to early Alzheimers disease (AD) mechanisms and subsequent dementia. Signals in metabolic pathways conserved across species provides a promising entry point for translation. METHODSWe investigated differences of serum and brain metabolites between the early-onset 5XFAD and late-onset LOAD1 (APOE4.Trem2*R47H) mouse models of AD to C57BL/6J controls at six months of age. RESULTSWe identified sex differences for several classes of metabolites, such as glycerophospholipids, sphingolipids, and amino acids. Metabolic signatures were notably different between brain and serum in both mouse models. The 5XFAD mice exhibited stronger differences in brain metabolites, whereas LOAD1 mice showed more pronounced differences in serum. DISCUSSIONSeveral of our findings were consistent with results in humans, showing glycerophospholipids reduction in serum of APOE4 carriers and replicating the serum metabolic imprint of the APOE4 genotype. Our work thus represents a significant step towards translating metabolic dysregulation from model organisms to human AD.

neuroscience↗