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Enregistrement W2549461025 · doi:10.1182/blood.v126.23.1048.1048

Effects of Anti-Glycoprotein Antibodies on Response of Immune Thrombocytopenia Patients to Thrombopoietin Receptor Agonists and on Megakaryocytes Viability

2015· article· en· W2549461025 sur OpenAlexaff
Marina Izak Karaev, Alexandra Kruse, Margaret Morrisey, Heyu Ni, Guangheng Zhu, Petra Pham, W. Beau Mitchell, James B. Bussel

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiquePlatelet Disorders and Treatments
Établissements canadiensCanadian Blood ServicesUniversity of TorontoSt. Michael's Hospital
Organismes subventionnairesnon disponible
Mots-clésEltrombopagRomiplostimThrombopoietinThrombopoietin receptorMedicineAntibodyPlateletImmunologyMegakaryocytePlatelet Glycoprotein GPIb-IX ComplexPlatelet membrane glycoproteinInternal medicineImmune thrombocytopeniaBiologyHaematopoiesis

Résumé

récupéré en direct d'OpenAlex

Abstract Background Immune Thrombocytopenia (ITP) is a bleeding disorder due to a combination of increased platelet destruction and reduced production, often secondary to anti-platelet/megakaryocyte antibodies. The presence of antibodies to glycoproteins (GP) IIb/IIIa (integrin αIIbβ3) and GPIb/IX, detected in majority of ITP patients, may correspond to different responses to treatment, i.e., anti-GPIb is associated with more severe disease, and less responsive to intravenous immunoglobulins and steroids. Thrombopoietin Receptor Agonists (TPO-RA) increase platelet production by stimulation of megakaryopoesis. Predictors of response to TPO-RA and influence of antibody profile on response are currently unknown. In our previous study we investigated Absolute Immature Platelet Fraction (A-IPF) prior to TPO-RA treatment and did not find a correlation between A-IPF, anti-GP antibodies, and platelet counts. The aims of this study were to further investigate: 1. The role of anti-GP antibodies in response to TPO-RA; 2. Effect of patients' antibodies on megakaryocyte (MK) viability, maturation, apoptosis and formation of proplatelets (in vitro); 3. The influence of patients' clinical characteristics on response to TPO-RA. Materials and Methods 91 patients with persistent or chronic ITP, were treated at Weill Medical College of Cornell University until January 2015 with TPO-RAs: 52 patients received eltrombopag, 22 romiplostim and 17 avatrombopag. Serum samples of 84 patients were analyzed for the presence of anti-GP by MAIPA assay as previously described. Patients with baseline platelet counts less than <30x109/L were defined as responders to TPO-RA if the average of their six median monthly platelet counts was ≥50x109/L and doubled from average baseline counts (prior to TPO-RA). Patients with baseline platelet counts 30-50x109/L were responders if the average platelet count was ≥75x109/L. MKs were derived from human umbilical cord blood stem cells as previously described. Cells were grown using SFEM medium, adding on day 0 of culture 50 ng/ml recombinant TPO and aliquots of serum of ITP patients or healthy controls. The percentages of immature (CD41+/CD42-), mature (CD41+/CD42+), viable and apoptotic MKs were analyzed by flow cytometry on day 12. Apoptosis was analyzed by measuring Mitochondrial Outer Membane Potential (MOMP) and Phosphatidyl Serine (PS) externalization. MKs were considered apoptotic if they had positive staining for PS externalization, viable if positive for MOMP, and dead if positive for 7-Aminoactinomycin D (7AAD). Proplatelet formation by MKs was analyzed by microscopy. Statistical analysis using unpaired T-test and Pearson correlation test were performed. Results Ninety-one patients were included, 40 male (44%) and 51 female (56%), with a median age of 37.4 years (range 2-87). Median duration of ITP before TPO-RA treatment was 8 years (range 0.3-45). The 18/91 (19.8%) non-responders to TPO-RA were not different from the 73/91 responders in age, gender, number of prior treatments, duration of ITP, and past splenectomy. The presence of either or both anti-GP antibodies was correlated with average lower platelet counts on TPO-RA: 82.3 x109/L versus 123x109/L in patients without detected antibodies ("neither") (p=0.003). However, the response to TPO-RA was not influenced by the type of antibody: in patients with anti-GPIb the average platelet count was 76.1x109/L, and with anti-GPIIb/IIIa 80.7x109/L (Figure 1). In culture, excess dead MKs were found in anti-GPIb group and antiGPIb&antiGPIIb/IIIa group compared to "neither" group (p=0.0013 and p=0.027 respectively) and comparing antiGPIb&antiGPIIb/IIIa to control (p=0.0025). We did not observe changes in the degree of MK apoptisis or in MK maturation in the presence of serum antibodies. In cultures treated with serum of patients having anti-GPIb, less proplatelets were detected comparing to control (p=0.044) or to "neither" (p=0.0039). We conclude that patients with anti-GP antibodies respond less to TPO-RA, however there is no difference in response to TPO-RA between patients having anti-GPIb and anti-GPIIb/IIIa, unlike responses to other treatment modalities (e.g., steroids or immunoglobulins). TPO-RA could be a preferable treatment option in ITP patients having anti-GPIb. Figure 1. Average 6-months platelet counts of TPO-RA-treated ITP patients divided into groups by presence of antibody/ies. Figure 1. Average 6-months platelet counts of TPO-RA-treated ITP patients divided into groups by presence of antibody/ies. Disclosures Off Label Use: Eltrombopag, romiplostim and avatrombopag are a thrombopoietin receptor agonist approved for the treatment of thrombocytopenia in adults with chronic ITP. In some preliminary studies these medicines found as safe and effective treatment option in children and adolescents. Bussel:amgen: Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Research Funding; GlaxoSmithKline: Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Research Funding; Cangene: Research Funding; Novartis: Consultancy, Research Funding; Genzyme: Consultancy; BiologicTx: Research Funding; Ligand: Consultancy, Research Funding; Eisai: Consultancy, Research Funding; Shionogi: Consultancy, Research Funding; momenta: Consultancy; Protalex: Consultancy; Symphogen: Consultancy.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,011
Tête enseignante GPT0,259
Écart entre enseignants0,248 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2015
Routes d'admission1
Résumé présentoui

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