Le potentiel thérapeutique d’un lipide de l’avocat (avocatin B) pour le traitement des leucémies aiguës myéloblastiques
Bibliographic record
Abstract
De nos jours, le traitement le plus répandu contre les cancers est la chimiothérapie. C'est une pratique qui se résume à l’utilisation des médicaments qui tuent les cellules qui se divisent rapidement. Cependant, la chimiothérapie est inefficace pour le traitement de certains cancers comme la leucémie aigüe myéloblastique(LMA).Ce type du cancer affecte les cellules souches responsables de la production des plaquettes, des globules rouges et blancs. Cette approche est souvent trop intense puisqu’elle tue les normales cellulaires qui sont important pour la fonction du corps. Dans ce contexte, le professeur Paul Spagnuolo et son équipe à l’Université de Waterloo ont récemment reporté l’existence d’un lipide de l’avocat nommé l’avocatin B, qui peut efficacement tuer les cellules souches cancéreuses leucémiques sans endommager les cellules souches normales. L’avocatin B affecte l’oxydation des acides gras et réduit la production de l’NADPH, l’NAD et le GSH, des molécules essentielles pour le contrôle du stress oxydatif cellulaire. [1] En absence des défenses anti-oxydantes, les cellules cancéreuses succombent à la mort cellulaire programmée (apoptose).Now a days the most common treatment against cancer is chemotheraphy.This is a practise which uses medications who kills rapidly diving cells.Chemotheraphy is an ineffective treatment against certain cancers like acute myelodi leukemia(AML).This type of cancer affects the stem cells respondisble for the production of platelets,red and white blood cells.This approach is often to much/intense since it kills normal cells which are mportnat for the function of the body.In this context,Dr.Paul Spagnulo and his team at the University of Waterloo have recently reported dthe existence of a lipid in avacodo's called avocatin B,which can effectively kill the cancer cells without damaging the normal cells.Avocatin B affects the oxidation of fatty acids and reduces(?) the production of NADPH, NAD and GSH; molecules that are essential for the control of oxidative stress. [1] These factors eventually lead to a programmed cell death (apoptosis).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".