Bilateral human fetal striatal transplantation in Huntington’s disease
Bibliographic record
Abstract
BACKGROUND: Transplanted striatal cells have been demonstrated to survive, grow, establish afferent and efferent connections, and improve behavioral signs in animal models of Huntington's disease (HD). OBJECTIVE: To evaluate feasibility and safety and to provide preliminary information regarding the efficacy of bilateral human fetal striatal transplantation in HD. METHODS: Seven symptomatic patients with genetically confirmed HD underwent bilateral stereotactic transplantation of two to eight fetal striata per side in two staged procedures. Tissue was dissected from the lateral half of the lateral ventricular eminence of donors 8 to 9 weeks postconception. Subjects received cyclosporine for 6 months. RESULTS: Three subjects developed subdural hemorrhages (SDHs) and two required surgical drainage. One subject died 18 months after surgery from probable cardiac arrhythmia secondary to severe atherosclerotic cardiac disease. Autopsy demonstrated clearly demarcated grafts of typical developing striatal morphology, with host-derived dopaminergic fibers extending into the grafts and no evidence of immune rejection. Other adverse events were generally mild and transient. Mean Unified HD Rating Scale (UHDRS) motor scores were 32.9 plus minus 6.2 at baseline and 29.7 plus minus 7.5 12 months after surgery (p = 0.24). Post-hoc analysis, excluding one subject who experienced cognitive and motor deterioration after the development of symptomatic bilateral SDHs, found that UHDRS motor scores were 33.8 plus minus 6.2 at baseline and 27.5 plus minus 5.2 at 12 months (p = 0.03). CONCLUSIONS: Transplantation of human fetal striatal cells is feasible and survival of transplanted cells was demonstrated. Patients with moderately advanced HD are at risk for SDH after transplantation surgery.
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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) | 0.002 | 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".