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Record W80064708 · doi:10.3233/jad-2009-0977

The Model Caenorhabditis elegans in Diabetes Mellitus and Alzheimer's Disease

2009· review· en· W80064708 on OpenAlexaff
Michael Morcos, Harald Hutter

Bibliographic record

VenueJournal of Alzheimer s Disease · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Glycation End Products research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCaenorhabditis elegansSenile plaquesPresenilinModel organismDiabetes mellitusBiologyOxidative stressDiseaseGeneGlycationAmyloid precursor proteinAlzheimer's diseaseGeneticsMedicineEndocrinologyInternal medicine

Abstract

fetched live from OpenAlex

Diabetes mellitus, with its complications, and Alzheimer's disease (AD) share many similarities. Both are age-related and associated with enhanced formation of advanced glycation endproducts (AGEs) and oxidative stress, factors that can be observed during the normal aging process as well. AGE deposits can be found in areas of atherosclerotic lesions in diabetes and in senile plaques and neurofibrillary tangles in AD. A classical model organism in aging research is the nematode Caenorhabditis elegans (C. elegans). Though C. elegans lacks a vascular system, it has been introduced in diabetes and AD research since it shares many similarities at the molecular level to pathological processes found in humans. AGEs accumulate in C. elegans, and increased AGE-formation and mitochondrial AGE-modification are responsible for increased oxidative stress and limiting life span. Moreover, C. elegans has an accessible and well characterized nervous system and features several genes homologous to human genes implicated in AD like amyloid-beta protein precursor, presenilins and tau. In addition, human genes linked to AD, such as amyloid-beta or tau, can be expressed and studied in C. elegans. So far, C. elegans research has contributed to a better understanding of the function of AD-related genes and the development of this disease.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.346
Teacher spread0.309 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations35
Published2009
Admission routes1
Has abstractyes

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