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Nisbet, D.

Publications and source records attributed to Nisbet, D..

2 recordsLinked to original sources

Deep nanoparticle protein corona plasma proteomics resolves a stage-specific peripheral signature of Alzheimer's disease

Structured AbstractO_ST_ABSINTRODUCTIONC_ST_ABSAlzheimers disease (AD) progresses over decades, yet plasma biomarkers that resolve disease stage rather than simply detect disease remain scarce. This distinction is clinically consequential because effective AD intervention depends on identifying patients before disease biology has progressed beyond a therapeutically responsive stage. METHODSWe used small-molecule-modulated protein corona proteomics to profile plasma from 90 individuals in the Australian Imaging, Biomarker and Lifestyle cohort, stratified by Centiloid (CL) A{beta}-amyloid burden (30 amyloid- negative, CL < 15; 30 moderate-to-high, CL 26 to 100; 30 very high, CL > 100). We quantified 3,176 proteins and applied differential abundance and actual causality analyses to identify stage-specific and candidate causal proteins. RESULTSDifferential protein abundance was exclusively captured during the moderate-to-high AD transition, revealing a discrete proteomic "switch." The switch was marked by accumulation of the autophagy receptor CALCOCO1, together with coordinated depletion of the S100A8/S100A9 calprotectin complex and core erythroid-cytoskeletal network structural markers (e.g., SPTA1, SPTB, ANK1). Adhesion G protein-coupled receptor G6 (ADGRG6) showed a significant moderate positive monotonic association with absolute CL burden, providing a proportional molecular anchor for cumulative disease burden. Actual causality analysis identified COL6A2, FOXRED2, P3H1, PRR4, and GOLGA5 as candidate upstream drivers linking matrix remodeling, Golgi trafficking, and collagen processing to AD progression. DISCUSSIONThese findings suggest a candidate blood-accessible framework for staging AD by active disease biology, which, if replicated in independent cohorts, may have implications for therapeutic selection and mechanism-guided clinical trials. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=92 SRC="FIGDIR/small/740710v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@1ead718org.highwire.dtl.DTLVardef@cfa523org.highwire.dtl.DTLVardef@62a367org.highwire.dtl.DTLVardef@1d5c9a5_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Language remains strongly left-lateralized in older adults: A cross-sectional and longitudinal study

Language is typically supported by the left hemisphere, but the prevalence and stability of language lateralization in older adults remain unclear. Although acquired language disorders disproportionately affect older adults, most studies of language lateralization have focused on younger populations. We examined language lateralization and its relationship with age in a large cohort of healthy older adults. 115 healthy adults (57 F, 58 M; mean age 59.6 years) completed functional MRI during an adaptive semantic decision task. Lateralization indices were calculated using a bootstrap-based laterality index (LI) approach for whole-hemisphere, frontal, and temporal regions. Relationships between age and lateralization were examined using Pearsons and Bayesian correlation analyses. Fifteen participants completed repeat imaging after a mean interval of 44.2 months. Language activation was strongly left-lateralized, with 96% of participants classified as left-lateralized and 3% as right-lateralized. Frontal and temporal LIs were strongly correlated. No significant relationship was observed between age and lateralization, and no significant longitudinal changes in lateralization were observed. Bayesian analyses supported absence of both age-related effects and longitudinal change in lateralization. Language lateralization remains strongly left-lateralized and unchanging in healthy aging. Findings suggest that aging should not be a factor in the incidence and severity of aphasia from lateralized pathology.

neuroscience↗