Biology subjects

Quinney, S. K.

Publications and source records attributed to Quinney, S. K..

3 recordsLinked to original sources

bioRxiv2026

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↗

bioRxiv2026

Optimization and Characterization of SHIP1 Ligands for Cellular Target Engagement and Activity in Alzheimer's Disease Models

Src homology 2 domain-containing inositol 5-phosphatase 1 (SHIP1), encoded by the gene INPP5D, is a lipid phosphatase that negatively regulates immune receptor signaling in hematopoietic cells and microglia. Here, we describe a pyridyl-pyrazole-piperidine scaffold and the lead compound 3-((2-chlorobenzyl)oxy)-5-(1-(piperidin-4-yl)-1H-pyrazol-4-yl)pyridine (32), which demonstrates SHIP1 target engagement, brain exposure, and evidence of a central pharmacodynamic response in vivo. Structure-activity relationship studies, guided by biochemical and cellular assays using multiple human and murine protein constructs and cells, identified SHIP1-active ligands. A thermal shift assay using full-length SHIP1 was used to assess compounds for cellular target engagement, while studies in IL-4 conditioned THP-1 cells was used to demonstrate changes in downstream AKT signaling. Targeted lipidomics revealed changes in the overall phosphoinositide pool consistent with SHIP1 target engagement and reduction of phospho-AKT levels. In a protein-lipid overlay assay, compound 32 induced changes in the relative association of SHIP1 with multiple phosphatidylinositols on a membrane surface. In high-content cellular imaging assays, compound 32 enhanced the uptake of myelin/membrane debris and fibrillar amyloid by primary murine microglia, phenocopying a genetic model with reduced SHIP1 expression. Finally, oral administration of compound 32 resulted in brain exposure sufficient to alter gene expression and reduce IL-1{beta} levels as pharmacodynamic markers of microglial activation and neuroinflammation in an amyloidosis mouse model of Alzheimers disease. Collectively, these results define a scaffold with SHIP1 target engagement, CNS exposure, and in vivo activity, providing a foundation for the optimization of brain-penetrant SHIP1 ligands suitable for further mechanistic studies and therapeutic development for the treatment of Alzheimers disease.

pharmacology and toxicology↗

bioRxiv2023

Levetiracetam Modulates Brain Metabolic Networks and Transcriptomic Signatures in the 5XFAD Mouse Model of Alzheimer's disease.

INTRODUCTIONSubcritical epileptiform activity is associated with impaired cognitive function and is commonly seen in patients with Alzheimers disease (AD). The anti-convulsant, levetiracetam (LEV), is currently being evaluated in clinical trials for its ability to reduce epileptiform activity and improve cognitive function in AD. The purpose of the current study was to apply pharmacokinetics (PK), network analysis of medical imaging, gene transcriptomics, and PK/PD modeling to a cohort of amyloidogenic mice to establish how LEV restores or drives alterations in the brain networks of mice in a dose-dependent basis using the rigorous preclinical pipeline of the MODEL-AD Preclinical Testing Core. METHODSChronic LEV was administered to 5XFAD mice of both sexes for 3 months based on allometrically scaled clinical dose levels from PK models. Data collection and analysis consisted of a multi-modal approach utilizing 18F-FDG PET/MRI imaging and analysis, transcriptomic analyses, and PK/PD modeling. RESULTSPharmacokinetics of LEV showed a sex and dose dependence in Cmax, CL/F, and AUC0-{infty}, with simulations used to estimate dose regimens. Chronic dosing at 10, 30, and 56 mg/kg, showed 18F-FDG specific regional differences in brain uptake, and in whole brain covariance measures such as clustering coefficient, degree, network density, and connection strength (i.e. positive and negative). In addition, transcriptomic analysis via nanoString showed dose-dependent changes in gene expression in pathways consistent 18F-FDG uptake and network changes, and PK/PD modeling showed a concentration dependence for key genes, but not for network covariance modeling. DISCUSSIONThis study represents the first report detailing the relationships of metabolic covariance and transcriptomic network changes resulting from LEV administration in 5XFAD mice. Overall, our results highlight non-linear kinetics based on dose and sex, where gene expression analysis demonstrated LEV dose- and concentration-dependent changes, along with cerebral metabolism, and/or cerebral homeostatic mechanisms relevant to human AD, which aligned closely with network covariance analysis of 18F-FDG images. Collectively, this study show cases the value of a multimodal connectomic, transcriptomic, and pharmacokinetic approach to further investigate dose dependent relationships in preclinical studies, with translational value towards informing clinical study design.

neuroscience↗