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Record W3111654455 · doi:10.1002/alz.045523

Lifetime brain structural trajectories in TAUPS2APP mouse model of Alzheimer's disease

2020· article· en· W3111654455 on OpenAlexaff
Marina Blūma, Edoardo Micotti, Gabriel A. Devenyi, Daniele Tolomeo, Lani Cupo, Gianluigi Forloni, M. Mallar Chakravarty, Claudio Babiloni

Bibliographic record

VenueAlzheimer s & Dementia · 2020
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsHippocampusVoxelJacobian matrix and determinantTemporal lobeCovariateNeuroscienceAnatomyBiologyMathematicsMedicineStatisticsRadiology

Abstract

fetched live from OpenAlex

Abstract Background The TAUPS2APP Alzheimer’s disease (AD) mouse model expresses mutant APPSWE, PSEN2N141I and TAUP301L mutations and displays age‐dependent accumulation of Aβ plaques and neurofibrillary tangles. In humans, abnormal protein accumulation and spreading are related to neurodegenerative processes, most stereotypically in the hippocampus and medial temporal lobe. Prior reports in different AD models have demonstrated various brain structural phenotypes (Grandjean et al.,2016). Here we assess neuroanatomical trajectories in the TAUPS2APP model of AD using longitudinal MRIs. Method Thirteen C67BL/6 (11f/2m) and seventeen TAUPS2APP (10f/7m) mice underwent T2‐weighted MRI (voxel size 117x147x147 μm, matrix 256x102x120, FoV 3x1.5x1.5 cm, TR=2500 ms TE=50 ms) at 4,9,13,18, and 24 months of age. Data were analyzed following two‐level deformation‐based morphometry pipeline that uses ANTs SyN nonlinear registration. At the first level within subjects’ minimum deformation averages are created and estimates of volume change are computed (log Jacobian determinants). Next, a second level average is created out of unbiased within‐subject averages and the Jacobians are resampled into the common space Result A linear mixed‐effect model with subject as random effect (second order spline fit, sex as a covariate) revealed significant differences in interaction between age and genotype in neuroanatomical trajectory (absolute Jacobian) of bilateral hippocampus, lateral septal area (LSA) and isocortical areas (at False Discovery Rate of 5%, fig.1). TAUPS2APP showed an accelerated overgrowth of hippocampus at young age but larger volumetric decline with age in comparison to non‐TG animals (fig.2a). A similar pattern was observed in LSA (fig.2b). On the contrary in the isocortex, where non‐TG declined with age, TAUPS2APP mice showed volume enlargement (fig. 3c). Conclusion These data suggest that TAUPS2APP model is characterized by abnormal neuroanatomical trajectory throughout its lifespan relative to controls. While hippocampal atrophy recapitulates clinical markers of late‐onset AD, enlarged cortex that had been reported earlier in some AD mouse models (TgCRND8, APP/J20 and PSAPP) does not. It was suggested that elevated APP levels may affect the rate of local region growth in adult mice ‐ due to space occupancy by amyloidosis and astrogliosis. In line with this Maheswaran et al. had reported a link between transgene expression, age, and volume increase over time (Maheswaran et al., 2009).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.303
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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