Activation of Non-Canonical Immune Signalling Pathways Drives Marrow Failure in a Murine Model of MDS
Notice bibliographique
Résumé
Abstract The Myelodysplastic Syndromes (MDS) are the most common hematological malignancies arising from stem/progenitor cells. MDS is characterized by ineffective hematopoiesis in one or more lineages of the bone marrow, resulting in peripheral cytopenias and the propensity to progress to either acute myeloid leukemia (AML) or bone marrow failure (BMF). The most common cytogenetic aberration associated with MDS is deletion of the long arm of chromosome 5. Many of the molecular events involved in the development of del(5q) MDS have been elucidated including haploinsufficiency of the gene encoding the ribosomal protein RPS14, responsible for the anemia observed, and haploinsufficency of the miRNAs miR-145 and miR-146a, which together target the innate immune signaling pathway, specifically, the Toll-like receptor-4 (TLR-4)signalling pathway. It has been demonstrated that overexpression of a target of miR-146a,TRAF6, in mouse bone marrow can recapitulate the phenotype of del(5q) MDS including the cytopenias and progression to BMF or AML. However, enforced expression of TIRAP, a miR-145 target gene, results in rapid BMF independent of TRAF6. The molecular and cellular mechanisms responsible for the differential outcome of overexpression of two genes that act within the same signalling pathway remain to be fully understood. We have identified several differentially expressed cytokines, including interferon gamma (IFNγ) and interleukin-10 (IL-10), following TIRAP overexpression compared with TRAF6 overexpression. Promoter methylation analysis has shown hypermethylation of key adaptors and signal transducers that lie between TIRAP and TRAF6 in the TLR-4 signalling pathway, suggesting activation of different pathways by TIRAP and TRAF6 overexpression. Indeed, blockade of TRAF6 and MyD88 did not inhibit TIRAP induced expression of these cytokines, suggesting that IFNγ and IL-10 production occurs in a TRAF6 and MyD88 independent manner. We identified IFNγ as the critical effector cytokine responsible for TIRAP mediated marrow failure. Gene set enrichment analysis has shown an enrichment of an IFNγ signature in MDS patients with a low risk of transformation to AML compared to healthy controls. Furthermore, interferon signatures were highly enriched in MDS patients compared to patients with AML, suggesting an important role for IFNγ signaling in driving MDS progression toward marrow failure as opposed to leukemic progression. IFNγ has been shown to inhibit components of the bone marrow niche by blocking RANK signalling in stromal cells such as osteoclast progenitors. Using coculture of TIRAP expressing bone marrow cells with the RAW264.7 monocyte cell line, a cell line that is capable of differentiation into osteoclasts, we found an inhibition in the ability of these cells to form osteoclasts compared to control. This provides the first line of evidence suggesting that immune signalling defects arising from genetic perturbations in the hematopoietic stem cell compartment can result in stem cell niche dysfunction leading to marrow failure. Disclosures No relevant conflicts of interest to declare.
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».