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Record W2210794007 · doi:10.1016/j.scr.2015.12.007

Cyclosporin A enhances neurogenesis in the dentate gyrus of the hippocampus

2015· article· en· W2210794007 on OpenAlexafffund
Andrew Chow, Cindi M. Morshead

Bibliographic record

VenueStem Cell Research · 2015
Typearticle
Languageen
FieldNeuroscience
TopicNeurogenesis and neuroplasticity mechanisms
Canadian institutionsCanada Research ChairsUniversity of Toronto
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
KeywordsNeurogenesisDentate gyrusSubventricular zoneBiologyNeural stem cellHippocampusIn vivoPrecursor cellNeuroscienceIn vitroCell biologyStem cellPharmacologyBiochemistryGenetics

Abstract

fetched live from OpenAlex

Neural precursor cells (NPCs) in the adult mammalian brain demonstrate potential in applications of neural repair in the CNS. Recent work has shown that cyclosporin A (CsA), a commonly used immunosuppressive drug, expands the size of the NPC pool in the subventricular region by promoting cell survival. We asked if CsA had similar effects on NPCs in the dentate gyrus (DG) of the hippocampus, leading to increased neurogenesis. We used the in vitro and in vivo assays to examine CsA's effect on the size of the NPC pool and the proliferation and differentiation profile of cells within the DG. We found that CsA increases the numbers of NPCs and enriches for neurogenic NPCs in vitro. Similarly, in vivo systemic administration of CsA for 7 days increases the size of the NPC pool in the DG observed through increases in numbers of proliferating cells and newborn neurons. Consistent with CsA's pro-survival effects, we have shown that CsA enhances the survival of newborn cells that normally undergo cell death over the time of infusion. Together these findings support the hypothesis that CsA administration promotes neurogenesis and may have implications for neural repair.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.187
GPT teacher head0.359
Teacher spread0.172 · 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 source (direct Gemma or distilled Codex), 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

Citations21
Published2015
Admission routes2
Has abstractyes

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