Differential Expression of Markers of Apoptosis in Platelets From Children with Acute Versus Chronic Immune Thrombocytopenia
Notice bibliographique
Résumé
Abstract Abstract 1092 Immune thrombocytopenia (ITP) is a common hematologic disorder in children that can lead to severe bleeding symptoms. In most children with ITP, platelet counts return to normal after weeks to months (acute ITP), however, in about 10–20% of patients, the low platelet counts persist for 12 months or longer (chronic ITP). No biological markers have been identified to predict the duration and/or severity of ITP. We have previously reported enhanced platelet apoptosis at the time of diagnosis of ITP in pediatric patients that was ameliorated after intravenous immunoglobulin (IVIg) (Winkler et al, Br J Haematol 2012;156:508–15). We have now investigated differences in the expression of markers of apoptosis in platelets from children with acute vs. chronic ITP. 23 pediatric patients with acute ITP were investigated and compared to 10 children with chronic ITP. In addition, from the initial group of acute ITP, 6 children developed chronic ITP and initial- and follow up results were compared. Markers of apoptosis, including activated caspase-3, caspase-8 and caspase-9, phosphatidylserine (PS) exposure, dissipation of the mitochondrial inner membrane potential (ΔYm), as well as microparticle formation, were analyzed by flow cytometry. At ITP diagnosis, the mean platelet count was 4×109/L (range: 1–14×109/L) and the proportions of platelets with activated caspase-3 (median, range) (20.4%, 1.4–64%, n=23), caspase-8 (16.7%, 1.0 – 42.7%, n=12) and caspase-9 (13.1%, 5 – 59.6%, n=12) were increased. While a higher mean platelet count was found in 10 children with chronic ITP (25×109/L, 4–60G/l), the proportions of platelets with activated caspase-3 (2.6%, 0.3–11.6%), caspase-8 (5.6%, 0.3–12.6%) and caspase-9 (4.3%, 0.3–15.6%) were significantly lower compared to children at diagnosis of acute ITP, but still higher compared to healthy controls (0.95%, 0 – 5.9%; 0.7%, 0.04 – 2.3% and 0.4%, 0.03 – 2.16%, respectively; n = 11) and children with thrombocytopenia due to chemotherapy (1.3%, 0.1 – 4.6%; 1.8%, 0.9 – 3.8%; and 1.8%, 0.6 – 2.9%, respectively; n = 11). Among the 6 children (26%) who developed chronic ITP from the initial cohort of 23 children, a mean platelet count of 29 (3–67×109/L) at >12 months after initial presentation was found. Except for one, none of the children with chronic ITP presented with bleeding symptoms; the median bleeding score was 2.5 (range: 1–3) at diagnosis and 1 (range: 0–2.5) at follow up during chronic ITP. In 5 of the children who developed chronic ITP, caspase activation was studied at diagnosis and at follow up >12 months after. In all of them, the proportions of platelets with activated caspase-3 (1.6%, 0.3–3.3%), caspase-8 (4.8%, 0.3–6.3%) and caspase-9 (4.1%, 0.3–7%) were found to be significantly lower at follow up compared to the time at diagnosis. In conclusion, although platelet apoptosis is enhanced at the time of diagnosis of pediatric ITP, this is not observed in platelets from patients with chronic ITP to the same degree. Further studies are needed to investigate other markers of apoptosis in platelets in the course of acute and chronic 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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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 | 0,000 |
| 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 ».