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Record W1505775651 · doi:10.5772/30503

Structure-Toxicity Relationships of Amyloid Peptide Oligomers

2011· book-chapter· en· W1505775651 on OpenAlexaff
P.J. Walsh, Simon Sharpe

Bibliographic record

VenueInTech eBooks · 2011
Typebook-chapter
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsAmyloid (mycology)AmylinFibrilChemistryProtein aggregationCytotoxicityIn vitroPeptideAmyloidosisAmyloid diseasePathogenesisP3 peptideCell biologyProtein foldingBiochemistry of Alzheimer's diseaseBiochemistryBiologyAmyloid fibrilAlzheimer's diseaseAmyloid precursor proteinMedicineDiseaseImmunologyAmyloid βPathologyDiabetes mellitus

Abstract

fetched live from OpenAlex

It has been suggested that these non-fibrillar assemblies may be a common element of all amyloid diseases, and non-fibrillar oligomers formed by several amyloid proteins have been identified in vivo or produced in vitro. Regardless of protein sequence, these oligomers share several key features, including reactivity to structural antibodies, the ability to permeabilize model membranes, and cytotoxicity to cultured neurons. However, despite their potential importance in the pathogenesis of amyloid diseases, the details of the molecular structure of these non-fibrillar oligomers are only now beginning to emerge, as is their relationship to mature fibrils, and to the onset of disease. The mechanism or mechanisms through which these oligomeric species induce cell death and contribute to the pathology of amyloid diseases remain a matter of some debate. Current hypotheses include a physical disruption of cellular membranes, formation of amyloid pores or channels, induction of oxidative stress, or interactions with receptor proteins on the cell surface leading to either altered protein function, or the initiation of a signaling event. Defining the link between the structure of misfolded protein aggregates and the concurrent gain of a toxic functionality is inhibited by the inherent difficulties of studying aggregative proteins, and is further complicated by the ability of amyloid proteins and peptides to form several distinct types of oligomers and fibrils, which often exist as heterogeneous mixtures. Each species of aggregate may exhibit varied biological activity, different local structure or gross morphology and typically contains different numbers of monomers per assembly. Despite these challenges, there has been significant recent progress in obtaining high-resolution structural details of amyloid fibrils and non-fibrillar oligomers, and in defining their biological mode of action. In this chapter, we review the current knowledge of the structure-toxicity relationship of non-fibrillar amyloid oligomers.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.838
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.061
GPT teacher head0.294
Teacher spread0.233 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations1
Published2011
Admission routes1
Has abstractyes

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