Platelet GPIba Is Important for Thrombopoietin Production and Thrombopoietin-Induced Platelet Generation
Notice bibliographique
Résumé
Abstract Background: Platelets are generated from megakaryocytes in the bone marrow and play a key role in hemostasis. GPIba is the major subunit in the GPIb-IX complex expressed on platelets and megakaryocytes (MKs). Deficiency of GPIba results in Bernard Soulier Syndrome (BSS), a severe bleeding phenotype characterized by thrombocytopenia and abnormal platelet morphology. The generation of megakaryocytes and platelets is regulated by the hematopoietic growth factor, thrombopoietin (TPO). In patients with thrombocytopenia, the TPO receptor agonists and recombinant TPO (rTPO) have been used to stimulate thrombopoiesis. TPO production primarily occurs in liver parenchymal cells with minor amounts synthesized in other tissues. The major clearance mechanism of TPO from circulation is via interaction between TPO and its receptor, c-Mpl, following which the c-Mpl-TPO complex undergoes internalization and degradation. However, whether it is the production or clearance of TPO the main regulator of circulating TPO levels has been debated but remains unclear. The prevailing theory was that hepatic TPO is generated constitutively, and the levels of circulating TPO are fine-tuned by its uptake and metabolism in platelets and megakaryocytes. Recently, this concept was modified by studies in Ashwell-Morell receptor (AMR) deficient mice, which highlighted the important role played by platelets in the regulation of hepatic TPO mRNA expression. As the most glycosylated platelet surface protein, GPIba contributes to chilled platelets clearance viahepatocytes, as well as antibody-mediated thrombocytopenia. However, the relationship between GPIba and plasma TPO has not been explored Methods and Results: We observed a significant decrease (approx. 3 fold) of TPO levels in both plasma and sera of GPIba-/- mice compared to wild type (WT) controls. Given the enlarged size of GPIba-/- platelets compared to WT, we investigated whether the low circulating TPO levels could be due to increased TPO clearance. Interestingly, we found similar levels of intracellular TPO in WT and GPIba-/- platelets, and the capacity to adsorb TPO in vitro was not enhanced. Further, we observed GPIba-/- platelets, surprisingly, have less c-Mpl expression compared to WT. Therefore, the decreased circulating TPO levels in GPIba-/- mice is unlikely due to enhanced TPO clearance. We next quantified TPO mRNA from hepatic liver cells as they are known as the major source of TPO. Consistent with the low circulatory TPO levels, we found reduced hepatic TPO mRNA in GPIba-/- mice, suggesting a deficiency in hepatic TPO generation. To determine whether exogenous platelet transfusions could influence steady-state hepatic TPO production, we transfused WT or GPIba-/- mice with WT or GPIba-/- platelets. Post-transfusion of WT, but not GPIba-/- platelets elevated TPO levels to around 150% in GPIba-/- mice. Additionally, our preliminary data showed that co-culture of hepatocytes with WT, but not GPIba-/- platelets in vitro increased hepatic TPO mRNA expression, further supporting a role for GPIba in TPO generation. To test whether TPO can equally induced platelet generation in GPIba-/- and WT mice. We injected rTPO into the two groups of mice, and found that in contrast to WT controls, rTPO did not significantly increase the platelet number of GPIba-/- mice in the circulation. Conclusion: Our data demonstrated that GPIba is important for TPO generation in liver and is necessary for TPO-induced platelet generation. These discoveries may have significant implications in TPO therapy in ITP. Disclosures No relevant conflicts of interest to declare.
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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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».