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Record W4406050937 · doi:10.1002/alz.092015

Identifying the regulatory cascade governing amyloid precursor protein macropinocytosis and subsequent production of amyloid‐beta

2024· article· en· W4406050937 on OpenAlexaff
Jordan M Krupa, Adrianna R Tsang, Claudia Seah, Stephen Pasternak

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsParkwood InstituteRobarts Clinical TrialsWestern University
Fundersnot available
KeywordsRHOACell biologyPinocytosisMembrane rufflingRAC1CDC42Amyloid precursor proteinEndosomeAmyloid betaChemistryInternalizationAlpha secretaseGTPaseIntracellularCellBiologyEndocytosisBiochemistryCytoskeletonSignal transductionAlzheimer's disease

Abstract

fetched live from OpenAlex

Abstract Background Previously, we identified macropinocytosis as a novel mechanism for direct and rapid trafficking of cell surface APP to lysosomes, bypassing early and late endosomes. This process depends on the activity of Arf6 and several Rho‐GTPases, and inhibition of macropinocytosis reduces amyloid‐beta (Aβ) production. Macropinocytosis is relatively unstudied in neurons and neuronal cells. Based on data from neuronal and non‐neuronal cell types, we hypothesized that the crosslinking of APP at the cell surface recruits Fe65, which acts as a scaffold for the recruitment and activation of Arf6. Arf6 then recruits the Rho‐GTPases Rac1, Cdc42 and RhoA, resulting in APP internalization by macropinocytosis and its cleavage to Aβ within the lysosome. Methods Neuro2a (N2a) neuronal cells or human IPSC‐derived primary cortical neurons were transduced with fluorescent‐tagged Fe65, Arf6, Rac1, Cdc42 or RhoA. Membrane PI(4,5)P2 was used to mark membrane ruffling using fluorescent‐tagged PLCδ‐PH. Live neuronal cells or neurons were incubated with anti‐APP antibodies on ice to crosslink cell surface APP. Cells were incubated at 37°C and imaged at specific time points using confocal microscopy and live cell imaging. Result Crosslinking APP resulted in rapid recruitment of Fe65 and Arf6 to APP and membrane ruffles within 30 sec, which rapidly decreased by 2 min. The Rho‐GTPases Rac1, Cdc42 and RhoA demonstrated sustained colocalization with APP and ruffles from 30 sec through to 2 min. This decreased at 5 and 10 min as APP was internalized. The inhibition of Arf6 using NAV2729 prevented the recruitment of itself, Rac1, Cdc42, and RhoA at 30 sec. However, inhibition of Rac1 by EHT 1864 had no significant effect on the recruitment of Rac1 to crosslinked APP. Conclusion These results demonstrate the sequential recruitment of regulatory proteins which regulate macropinocytosis of APP in response to its crosslinking. Fe65 and Arf6 are rapidly recruited to APP, followed by sustained recruitment of Rac1, RhoA and Cdc42. These regulatory proteins could be targeted to modulate APP‐lysosomal trafficking and reduce Aβ production.

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)0.000
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.307
Teacher spread0.268 · 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
Published2024
Admission routes1
Has abstractyes

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