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Record W2789874529 · doi:10.1159/000488111

NG2-Glia, a New Player in Energy Balance

2018· review· en· W2789874529 on OpenAlexaff
Sarah C. Robins, Maia V. Kokoeva

Bibliographic record

VenueNeuroendocrinology · 2018
Typereview
Languageen
FieldNeuroscience
TopicNeurogenesis and neuroplasticity mechanisms
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsNeuroscienceContext (archaeology)Biological neural networkHomeostasisOligodendrocyteBiologyEnergy homeostasisProgenitor cellSignallingProgenitorNeurogliaCentral nervous systemCell biologyEndocrinologyStem cellMyelin

Abstract

fetched live from OpenAlex

There is increasing evidence that glia act not only as neuronal support cells, but that they can also influence physiological outcomes via effects on neural signalling. The role of NG2-glia in this regard is especially enigmatic, as they are known to interact with neural circuits but their precise functions other than as oligodendrocyte progenitor cells remain elusive. Here, we summarise recent evidence suggesting that NG2-glia play a role in the maintenance of energy homeostasis, most notably via the support of leptin-sensing neural circuits. We also discuss the potential clinical implication of these findings specifically in the context of cranial radiation therapy.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.113
GPT teacher head0.335
Teacher spread0.222 · 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

Citations12
Published2018
Admission routes1
Has abstractyes

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