Recovery Of Myeloid Derived Suppressor Cell Subsets Following Allogeneic Hematopoietic Stem/Progenitor Cell Transplantation
Notice bibliographique
Résumé
Myeloid derived suppressor cells (MDSCs) are a heterogeneous population of immature myeloid cells that expand during many inflammatory conditions and malignancies. MDSCs may play an important role following allogeneic hematopoietic stem/progenitor cell transplant (HSCT). MDSCs suppress T-cell, B-cell and dendritic cell responses by a number of mechanisms, including promoting regulatory T cell expansion and producing soluble mediators such as Arginase 1 (Arg-1) and iNOS. MDSCs are divided into two subsets: monocytic (M-MDSCs) and granulocytic (G-MDSCs). MDSC morphology and function differ in various tissues under different inflammatory conditions. In a murine asthma model, M-MDSCs inhibit airway inflammation, but the other subset of MDSCs exacerbated airway inflammation. In a sepsis model, MDSCs exaggerated inflammation in the early stage, but suppressed inflammation in the later stage of sepsis. As the early post-transplant period is characterized by the rapid expansion of immature myeloid cells, we postulated this time period may also be a time when MDSCs might play a major role in modulating immune recovery post-transplant, and aid in the development of immune regulatory networks potentially important in the pathophysiology of graft-versus-host disease (GVHD). In nine patients undergoing allogeneic HSCT, peripheral blood was drawn on the day prior to the start of conditioning, days +4-5, +7-9, +14-16, +21-23, +27-29 and +80-100 post HSCT. White blood cells were quantified, red cell depleted using HetaSep (Stem Cell Technologies), then stained with fluorescence-labelled antibodies against CD45, CD15, CD14, HLA-DR, CD33 and CD66b and analyzed by flow cytometry for MDSC subsets. The soluble mediators iNOS and Arg-1were evaluated by intracellular staining for iNOS and Arg-1 and analyzed by flow cytometry. Four of the nine patients developed acute GVHD (II-IV) and/or extensive chronic GVHD. Early recovery of CD33+CD14+HLA-DR-/low M-MDSCs and CD33+CD15+CD66b+ G-MDSCs was seen post-transplant. Compared to healthy donors, the percentage of M- and G-MDSCs was increased by 3 weeks post-transplant. Interestingly, the patients who went on to develop GVHD had lower percentage and number of M-MDSCs, but inversely had higher numbers of G-MDSCs by day +27-29 and day +80-100 post-transplant (Fig. 1). When compared with healthy donors, the expression of Arg-1 in G-MDSCs, a measure of activation of MDSCs, was increased in patients pre- and post-HSCT, especially at day +80-100; while there was no difference seen iNOS expression in G-MDSCs (Fig 2). The expression of Arg-1 and iNOS in M-MDSCs was increased pre-transplant but fell by day +80-100 post HSCT (Fig 2). Taken together, our pilot data indicates that both M- and G- MDSCs recover early post HSCT and may contribute to the pathophysiology of GVHD. Patients with lower numbers of M-MDSCs and higher numbers of G-MDSCs at earlier time points post-transplant might be at greater risk for developing GVHD. 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) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».