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Record W2042646471 · doi:10.1097/wnr.0b013e3282f03fff

Regenerative arrest of inflamed peripheral nerves: role of nitric oxide

2007· article· en· W2042646471 on OpenAlexafffund
David S. McDonald, Chu Cheng, Jose A. Martinez, Douglas W. Zochodne

Bibliographic record

VenueNeuroreport · 2007
Typearticle
Languageen
FieldNeuroscience
TopicNerve injury and regeneration
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
FundersCanadian Institutes of Health ResearchCanadian Diabetes Association
KeywordsNitric oxideRegeneration (biology)AxonInflammationSciatic nerveLipopolysaccharidePeripheralNitric oxide synthaseNeuroscienceMedicineCell biologyImmunologyBiologyAnatomyInternal medicine

Abstract

fetched live from OpenAlex

Inflammation can both support and hinder regeneration. In this work, we asked whether regeneration of peripheral nerve axons is facilitated or interrupted when it proceeds through a zone of local but nondirected inflammation. Regeneration was examined in new nerve bridges forming through conduits connecting transected rat sciatic nerves. The conduits, infused with lipopolysaccharide to generate a sterile and nondirected inflammatory response, had substantial rises in inducible nitric oxide (iNOS) mRNA synthesis. iNOS was expressed within macrophages just beyond the zone of axon regrowth. Under these conditions, there was complete interruption of regenerative bridge formation in all instances without axon regrowth across the transection. In a separate cohort, infusion of a broad-spectrum NOS inhibitor (Nomega-nitro-L-arginine-methyl ester) into the conduit salvaged bridge formation in a proportion (3/8) of rats. Our findings indicate that local inflammatory conditions inhibit regenerative events and that nitric oxide may contribute to these events.

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 score0.029
Threshold uncertainty score0.515

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 head0.020
GPT teacher head0.274
Teacher spread0.254 · 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

Citations30
Published2007
Admission routes2
Has abstractyes

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