Striatal allografts in patients with Huntington’s disease: impact of diminished astrocytes and vascularization on graft viability
Bibliographic record
Abstract
Neuronal transplantation has been proposed as a potential therapy to replace lost neurons in Huntington's disease. Transplant vascularization and trophic support are important for graft survival. However, very few studies have specifically addressed graft vascularization in patients with neurological disorders. In the present study, we analysed the vasculature of the host putamen and solid grafts of foetal striatal tissue transplanted into patients with Huntington's disease 9 and 12 years previously. Grafts were characterized by a significantly reduced number of large calibre blood vessels in comparison with the host brain. There were also significantly fewer astrocytes and gap junctions, suggesting a lack of functional blood-brain barrier components within the grafted tissue. Additionally, grafts demonstrated a nearly complete absence of pericytes (compared with the striatum) that are considered important for vascular stabilization and angiogenesis. Finally, the host striatum had a marked increase in atrophic astrocytes in comparison with controls and grafts. The extent to which the lower number of large calibre vessels and astrocytes within the transplants contributed to suboptimal graft survival is unknown. The marked increase in atrophic astrocytes in the host brain surrounding the grafts suggests that reduced host trophic support may also contribute to poor graft survival in Huntington's disease. A better understanding of the way in which these components support allografted tissue is critical to the future development of cell-based therapies for the treatment of Huntington's disease.
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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 | 0.001 |
| 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) | 0.000 | 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".