Natural Killer Cells Induce the Formation of Neutrophil Extracellular Traps (NETs) in Venous Thrombosis
Notice bibliographique
Résumé
Abstract Thrombosis is considered to be a pathological deviation of physiologic hemostasis involving similar mechanisms. Interestingly, recent work demonstrates that innate immune cells promote venous thrombosis. Innate immune cells were shown to collaborate to induce the activation of the coagulation cascade and platelets. In particular, neutrophils contribute to venous thrombosis through the release of neutrophil extracellular traps (NETs). However, the mechanism triggering the formation of NETs during venous thrombosis remain unknown. Of interest, a study showed that IFNγ induced the formation of NETs. Thus, we investigated the role of IFNγ-producing cells in the development of thrombosis. We used mice lacking IFNγ, Tbet (the transcription factor regulating the expression of IFNγ) or wild type mice. Venous thrombosis was induced using the flow restriction model in the inferior vena cava , as has been previously published. In Tbet-/-, IFNγ-/- and WT mice, we show that the absence of Tbet or IFNγ decreases the formation of thrombi after venous thrombosis induction, suggesting that the Tbet+/IFNγ producing cells are required for the early development of venous thrombosis. Comparing the composition of the thrombi from Tbet-/-, IFNγ-/- and WT mice, we show that, in all mice, neutrophils are the main cellular component of thrombi followed by monocytes; however, the number of neutrophil extracellular traps (NETs) formed during thrombosis is significantly lower in Tbet-/- and IFNγ-/- mice. Furthermore, NET formation is also decreased in WT mice specifically depleted of IFNγ and increases in Tbet-/- and IFNγ-/- mice injected with recombinant IFNγ. In vitro, we show that stimulation of WT murine neutrophils with recombinant IFNγ triggers the formation of NETs demonstrating that Tbet and IFNγ are crucial for NET formation by neutrophils. Natural killer (NK) cells are the main producers of IFNγ . Thus, we investigated the role of NK cells in venous thrombosis induced by flow restriction. NK cells were specifically depleted with an antibody during the development of venous thrombosis. The absence of NK cells results in smaller thrombi suggesting that NK cells are required for early thrombus development. Additionally, depletion in NK cells results in decreased in-situ IFNγ production and decreased NET formation. To directly link NK cells to the formation of NETs, WT neutrophils were co-cultured with Tbet-/- and IFNγ-/- NK cells. We show that WT neutrophils release less NETs when cultured with Tbet-/- and IFNγ-/- NK cells as compared to WT NK cells. These data suggest that NK cells trigger the formation of NETs by neutrophils through the production of IFNγ. Hence, we demonstrate that, in a partial flow restriction model of venous thrombosis, Tbet and IFNγ are crucial for thrombus development by promoting the formation of NETs by neutrophils and that NK cells are key effector cells in this process. Disclosures Blostein: boehringer-ingelheim: Research Funding.
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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) | 0,002 | 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 ».