Resultados preliminares del estudio de la muerte neuronal y de la expresión de la proteína bcl-2 en la enfermedad de Alzheimer
Bibliographic record
Abstract
La enfermedad de Alzheimer (EA) es un proceso degenerativo del sistema nervioso que junto a los cambios histopatológicos clásicamente conocidos de formación de placas seniles y ovillos neurofibrilares se acompaña de una variable pérdida de neuronas. Se ha postulado que esta muerte neuronal puede ocurrir por un mecanismo de apoptosis. Las células en apoptosis pueden identificarse añadiendo mediante la enzima terminal-deoxinucleotidil-transferasa (Tdt) nucleótidos marcados a los terminales 3'-OH que se liberan al fragmentarse el ADN a nivel internucleosomal. Con esta técnica se han identificado neuronas en apoptosis en cerebros de 5 pacientes con EA con más frecuencia que en controles de edades correlativas. También se han estudiado por técnicas de inmunohistoquímica la expresión de la proteína antiapoptótica bcl-2 y no se ha encontrado inmunorreactividad en neuronas pero sí un aumento de la misma en astrocitos en cerebros de pacientes con EA con respecto a los controles. La elevada expresión de bcl-2 en células gliales en la EA contribuiría a su propia supervivencia y podría a su vez influir en la pérdida neuronal.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".