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Record W2096310382 · doi:10.2174/187152409788452108

The Insulin-like Growth Factor-1 Axis and its Potential as a Therapeutic Target in Central Nervous System (CNS) Disorders

2009· review· en· W2096310382 on OpenAlexafffund
Olivia Bibollet‐Bahena, Qiao‐Ling Cui, Guillermina Almazán

Bibliographic record

VenueCentral Nervous System Agents in Medicinal Chemistry · 2009
Typereview
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsMcGill UniversityWilliam Osler Health System
FundersCanadian Institutes of Health ResearchMultiple Sclerosis Society of Canada
KeywordsCentral nervous systemInsulin-like growth factorNeuroscienceGrowth factorMedicineBioinformaticsBiologyInternal medicineReceptor

Abstract

fetched live from OpenAlex

The insulin-like growth factor-1 (IGF-1) is a pleiotropic factor. Many studies have revealed its importance in the development and maintenance of the central nervous system (CNS). This review will discuss the IGF-1 axis, from the factor itself to the signalling pathways it activates, and its tight regulation. Particular focus will be brought on potential therapeutic targets of the IGF-1 axis in CNS disorders, including brain tumours and neurodegenerative diseases affecting neurons and oligodendrocytes.

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), Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.653
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
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 head0.020
GPT teacher head0.275
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations18
Published2009
Admission routes2
Has abstractyes

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