Focal cerebral ischemia induces a multilineage cytogenic response from adult subventricular zone that is predominantly gliogenic
Bibliographic record
Abstract
The purpose of this study was to ascertain the relative contribution of neural stem/progenitor cells (NSPCs) of the subventricular zone (SVZ) to lineages that repopulate the injured striatum following focal ischemia. We utilized a tamoxifen-inducible Cre/loxP system under control of the nestin promoter, which provides permanent YFP labeling of multipotent nestin(+) SVZ-NSPCs prior to ischemic injury and continued YFP expression in all subsequent progeny following stroke. YFP reporter expression was induced in adult male nestin-CreER(T2):R26R-YFP mice by tamoxifen administration (180 mg kg(-1), daily for 5 days). Fourteen days later, mice were subjected to 60-min transient middle cerebral artery occlusion (MCAO) and sacrificed at 2 days, 2 weeks, or 6 weeks post-MCAO for phenotypic fate mapping of YFP(+) cells using lineage-specific markers. Migration of YFP(+) cells from SVZ into the injured striatal parenchyma was apparent at 2 and 6 weeks, but not 2 days, post-MCAO. At 2 weeks post-MCAO, the average percent distribution of YFP(+) cells within the injured striatal parenchyma was as follows: 10% Dcx(+) neuroblasts, 15-20% oligodendrocyte progenitors, 59% GFAP(+) astrocytes, and only rare NeuN(+) postmitotic neurons. A similar phenotypic distribution was observed at 6 weeks, except for an increased average percentage of YFP(+) cells that expressed Dcx(+) (20%) or NeuN (5%). YFP(+) cells did not express endothelial markers, but displayed unique anatomical relationships with striatal vasculature. These results indicate that nestin(+) NSPCs within the SVZ mount a multilineage response to stroke that includes a gliogenic component more predominant than previously appreciated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".