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Record W2899519336 · doi:10.1002/celc.201800985

Electrochemical Detection of Isoform‐Specific Interaction between Apolipoprotein E and Amyloid‐β

2018· article· en· W2899519336 on OpenAlexafffund
Han Su, Yiyun Jin, Meissam Noroozifar, Kağan Kerman

Bibliographic record

VenueChemElectroChem · 2018
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersUniversity of Toronto ScarboroughCanada Research ChairsCanada Foundation for Innovation
KeywordsApolipoprotein EGene isoformChemistrySurface plasmon resonanceCyclic voltammetryAmyloid (mycology)Amyloid precursor proteinBiophysicsApolipoprotein BPeptideBiochemistryAlzheimer's diseaseCholesterolElectrochemistryInternal medicineNanotechnologyBiologyMaterials scienceMedicineDiseaseNanoparticleGene

Abstract

fetched live from OpenAlex

Abstract Alzheimer's disease (AD) is characterized by the formation of neurofibrillary tangles (NFTs) including amyloid‐β (Aβ) in the brain. Apolipoprotein E (ApoE) plays a key role in the homeostasis of cholesterol and other lipids in blood circulation. The interaction between ApoE and Aβ has been implicated in the pathological progression of AD. In this study, the interaction of three isoforms of ApoE4, ApoE3 and ApoE2 with Aβ 1–40 and Aβ 1–42 peptides was investigated using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). Interactions between Aβ peptides and ApoE isoforms were determined by monitoring the changes in ΔR ct of Nyquist plots. The affinity between Aβ 1–40 and Aβ 1–42 and ApoE isoforms interpreted from EIS data followed the trend: ApoE4>ApoE3>ApoE2. Using surface plasmon resonance (SPR), the binding affinity (K D ) constants for the interaction of ApoE4 with Aβ 1–40 and Aβ 1–42 peptides were determined as 185±21 nM and 156±18 nM, respectively, in agreement with our electrochemical results. Our proof‐of‐principle study demonstrates that EIS provides a promising platform for the investigation of protein‐protein interactions implicated in AD.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.011
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.021
GPT teacher head0.301
Teacher spread0.280 · 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 teacher head, 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

Citations3
Published2018
Admission routes2
Has abstractyes

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