Plasmacytoid Dendritic Cells Surveil Megakaryocyte Sialic Acid to Regulate Thrombopoiesis
Notice bibliographique
Résumé
The Thomsen-Friedenreich antigen (TF-antigen) occurs during exposure of the underlying Core-1 disaccharide (Gal-beta(1,3)GalNAc) through the loss of its capping sialic acid (Sia). Exposure of the cryptic TF-antigen occurs during inflammation, during acute infections with influenza viruses or bacteria, in malignancies, and is associated with thrombocytopenia. Exposure of the TF-antigen on circulating blood cells, including platelets and red blood cells (RBC), can lead to severe thrombocytopenia or hemolysis in hemolytic uremic syndrome and other immune diseases. Recent data suggest that altered Sia may cause platelet destruction because treatment with the sialidase inhibitor Tamiflu increases platelet count in healthy and thrombocytopenic patients. In humans, genetic mutations involving Sia synthesis and transport, and atypical cell surface sialylation, unrelated to any genetic mutation, are associated with reduced platelet count, supporting the role of Sia in regulating platelet count. Immune cells, including classical dendritic cells (cDCs), plasmacytoid dendritic cells (pDCs), and subsets of T cells (CD8+, CD4+, and Treg cells) can also affect immune thrombocytopenia pathogenesis. Like many other immune cells, cDCs, and pDCs express Siglecs (sialic-acid-binding immunoglobulin-like lectins), which often contain immunoreceptor tyrosine-based inhibitory motifs (ITIMs) that act as immunosuppressors. Whether BM immune cells monitor MKs via glycan-lectin receptors, including Siglecs and Sia interactions, to control platelet production is unclear. To investigate the role of the TF-antigen in thrombopoiesis, we generated St3gal1MK-KO mice (Pf4-Cre) that display increased TF-antigen specifically in megakaryocytes (MK) and platelets. St3gal1MK-KO mice developed significant thrombocytopenia, but had normal platelet half-life, suggesting that the TF-antigen affected BM thrombopoiesis. In vitro MK maturation and proplatelet production from primary ST3Gal1MK-KO mouse BM cells were also normal, pointing to extrinsic factors in the BM environment affecting thrombopoiesis. Platelet counts of St3gal1MK-KO mice were restored to wild-type levels by 1) crossing St3gal1MK-KO mice with Jak3KO mice that have impaired of lymphoid cell development, 2) by treatment with anti-inflammatory dexamethasone, and 3) treatment with a depleting anti-CD4 antibody. Immunofluorescence staining of the St3gal1MK-KO BM revealed proplatelet structures positive for GPIba+ and the TF-antigen, being infiltrated by mononuclear cells resembling lymphocytes. We speculated that immune cells surveil megakaryocytes to control thrombopoiesis. Bulk RNAseq of CD4+ cells in St3gal1MK-KO BM confirmed a population bias for Type I interferon (IFN-I)-releasing pDCs, a cell type regulated by unique sialic acid binding lectins (Siglecs). Inhibition of IFN-I activity, by a blocking receptor antibody improved platelet counts in St3gal1MK-KO mice. Co-cultures of pDCs with MKs show inhibited pro-platelet formation when TF-antigen is present on MKs with elevated IFN-I levels. Gene set enrichment analysis of BM pDCs single cell RNASeq (scRNAseq) data further confirmed that TF-antigen exposure by MKs up-regulates IFN-I transcripts. scRNAseq also reveals a new population of immune cells with pDC transcript signature and concomitant upregulation of immunoglobulin re-arrangement gene transcripts Igkc and Ighm. In conclusion, the data shows that recognition of aberrant MK sialylation by pDCs regulates thrombopoiesis through IFN-I secretion. 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 | 0,001 | 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) | 0,002 | 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 ».