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Record W2088054492 · doi:10.1586/eem.09.67

Diabetes and failure of axon regeneration in peripheral neurons

2010· article· en· W2088054492 on OpenAlexaff
Douglas W. Zochodne

Bibliographic record

VenueExpert Review of Endocrinology & Metabolism · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNerve injury and regeneration
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRegeneration (biology)MedicineAxonNeuroscienceDiabetes mellitusPeripheralCell biologyBioinformaticsBiologyInternal medicineEndocrinologyAnatomy

Abstract

fetched live from OpenAlex

Peripheral neurons are targeted by a 'double hit' during diabetes mellitus. First, they are damaged directly; diabetic polyneuropathy is a progressive neurodegenerative disorder that involves sensory, autonomic and eventually motor neurons. The second 'hit' involves a profound impairment in the ability of peripheral axons to regenerate. This is important because the impairment impacts on how patients may recover from polyneuropathy. Moreover, diabetic patients also develop direct focal injures of peripheral nerves, such as carpal tunnel syndrome and ulnar neuropathy at the elbow. Their response to the treatment of these selective injuries is also impaired. Regeneration of peripheral neurons is normally a complex process that involves axon sprouting, upregulation of molecular regeneration programs, clearance of pathways for axon regrowth, maturation of new axons and reconnection to their targets. Schwann cells and perineuronal glial cells provide support during many of these processes. However, in diabetes mellitus a number of these steps may be independently impaired. In this brief article, we discuss evidence for several of these mechanisms of regenerative failure in diabetes.

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)0.001
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 score0.043
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.016
GPT teacher head0.296
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
Published2010
Admission routes1
Has abstractyes

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