Мезенхимальные стромальные клетки в коррекции неврологического дефицита и морфологических изменений в модели очаговых повреждений головного мозга, индуцированных нарушением венозного кровотока
Bibliographic record
Abstract
The paper presents the results of assessing the effect of bone marrow-derived mesenchymal stromal cells (MSCs) on the severity of neurological deficit and the brain morphology and function in a model of focal lesions induced by a venous blood flow disorder. Cerebral lesions were induced in Wistar rats by coagulation of the superior sagittal sinus followed by coagulation of cortical veins in the left parietotemporal region. MSCs were injected intravenously on days 1 and 7, and the dynamics of neurological disorders and morphological changes were assessed at 7, 14 and 21 days in comparison to controls. MSCs infusion was accompanied by a significant reduction. in neurological deficit, the most pronounced with MSCs injections on day 1. Morphological investigation of the damaged region have shown that the administration of MSCs led to a decrease in the area of necrosis, stimulation of angiogenesis, and improvement of structural and cellular parameters as compared to the control group. As a result, by day 21 the area of necrosis in animals with MSC transplantation was replaced by glial-mesodermal scar, whereas the scar formation in control animals was less pronounced, and in some cases was accompanied by cystic transformation. Transplantation of MSCs has a positive effect on neurological and morphofunctional recovery of the brain in experimental animal models of cerebral venous circulation disorders.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.006 |
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".