Abstract WP92: Human Neural Stem Cells Enhance Synaptic Structural Remodeling in the Ischemic Brain.
Bibliographic record
Abstract
Introduction: Stem cell transplantation has emerged as a promising new experimental treatment for stroke; understanding its mechanism of action will facilitate the translation of stem cell therapy to the clinic. Previous work from our lab and others suggests that transplanted stem cells function by enhancing endogenous brain repair processes including structural brain plasticity. The ultimate change in brain plasticity is manifested at the synaptic level and thus we hypothesize that stem cells will enhance synaptic structural remodeling in the post-ischemic brain. To test this we use array tomography, a new high-resolution proteomic imaging method, to determine a) the number and subtype of glutamate and GABA synapses after stroke, and b) how these parameters are affected by transplantation of human neural progenitor cells (hNPCs). Method: Vehicle or hNPCs derived from fetal cortex were transplanted into the ischemic cortex of Nude rats at 7 days after distal middle cerebral artery occlusion. Neurological recovery was assessed weekly using a battery of behavioral tests. Small tissue was removed from the peri-infarct cortex at 4 weeks post-transplantation. The tissue was processed and ribbons, or arrays, of serial ultrathin sections (70 nm) were obtained using an ultramicrotome. Ribbons were stained with antibodies for the synaptic markers Synapsin1, VGlut1, VGlut2, PSD-95, GAD, VGAT, GABAAR-α1, and images taken in cortical layer 2/3 and layer 5. Computational analysis of the resultant staining pattern was used to identify and quantify subtypes of glutamatergic and GABAergic synapses. Results: Transplantation of hNPCs significantly improved behavioral recovery after stroke compared to vehicle-treated rats (4 weeks; p<0.01, n=9). There was an increase in the density and proportion of glutamatergic synapses expressing VGluT2 in layer5 at 4 weeks post-transplantation (Density: 0.090 vs 0.057 synapses/μm3. Proportion: 27.0 vs 22.6 %, n=4). No detectable differences in the density of GABAergic synapses were observed. Conclusions: These results suggest that stem cells alter synaptic remodeling after stroke and this is coincident with stem cell-induced functional recovery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".