AML with myelodysplasia-related changes masquerades as acute panmyelosis with myelofibrosis
Notice bibliographique
Résumé
Multiple myeloma (MM) bone disease is characterized by increased osteoclast-mediated resorption of bone adjacent to tumor growth. Fusion and activation of osteoclasts (OC), indicated by elevated tartrate-resistant acid phosphatase (TRAP) production, are induced by a myriad of inflammatory factors; e.g. TGF-β, growth factor independent 1 transcription factor (GFI-1), RANKL, and IL-6 that are produced by myeloma cells and cells in the marrow microenvironment. Current therapies reduce tumor burden and block osteoclast formation and activity, thereby decreasing bone destruction. However, MM bones rarely heal. While the anabolic effects of exercise on healthy bone are well-documented, patients with compromised skeletal tissue, such as in MM, may not be able to participate in regimented exercise for fear of developing a fracture. Low intensity vibrations (LIV) that deliver subtle mechanical signals, on the order of those induced by fast-twitch muscle fibers on bone, can enhance mesenchymal stem cell differentiation towards osteoblasts. LIV also significantly preserves trabecular bone while reducing tumor burden in femora of mice harboring U266 MM cells. We hypothesize that LIV is both anti-resorptive and anabolic, through differential effects on MM cells and bone cells. To test this hypothesis, we used a vertically oscillating, vibratory platform that delivered mechanical signals ( 2 ) to culture plates. 5TGM1 murine MM cells (5x10 5 cells/well) were cultured in RPMI with 10% FCS and subjected to LIV or Sham-LIV. Each 6-well plate received either LIV (frequency=90Hertz, acceleration=0.3g) or Sham-LIV (SH; unpowered, static platform) twice per day for 20min per treatment for 48hrs. MM cell lysates were then collected using RIPA buffer. IL-6, GFI-1, and RANKL levels were determined via Western Blot using specific monoclonal antibodies. GAPDH was used as the loading control. Conditioned media (CM) were isolated from SH- and LIV-treated MM cultures. Purified primary murine OC precursors (non-adherent marrow mononuclear cells) were expanded with 10ng/mL of MCSF for 3 days and then these cells were isolated by trypsinization and replated in 12-well plates at a density of 5x10 5 cells/well in α-MEM, 10% FCS, and 30% v/v CM. All cultures were then incubated for 36hrs. OC number and morphology were confirmed via TRAP staining (counterstained with hematoxylin) of the cultures. TRAP + OC9s containing at least three nuclei were quantified in the cultures by microscopy. Expression levels of IL-6 and GFI-1 were 53% (p + OC9s were 61% (p These findings suggest that mechanical signals in the form of LIV may influence the secretion of IL-6 and GFI-1 by myeloma cells, which, in turn, can decrease the capacity of MM cells to induce OC formation. The morphology of OC9s and expression of TRAP by OC9s exposed to LIV further suggest a distinct mechanosensitive effect on osteoclast formation and fusion that may impact their bone resorbing capacity. Thus, LIV has a significant effect on the capacity of MM cells to secrete inflammatory cytokines as well as directly affect OC formation. These results further suggest that low intensity vibrations may be a useful, non-invasive approach for treating myeloma bone disease. Disclosures Roodman: Amgen Denosumab Trial: Membership on an entity9s Board of Directors or advisory committees.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».