Maternal Immune Response to Fetal Platelet GPIbα Causes More Frequent Miscarriage in An Animal Model: A Potential Explanation for Low Reported Incidence of Fetal and Neonatal Immune Thrombocytopenia Mediated by Anti-GPIbα Antibodies.
Notice bibliographique
Résumé
Abstract Fetal and neonatal immune thrombocytopenia (FNIT) is a life-threatening bleeding disorder, resulting from fetal platelet opsonization and destruction by maternal antibodies developed during pregnancy. The frequency of FNIT has been estimated at 0.5–1.5/1,000 liveborn neonates. However, the incidence of fetal mortality is currently unknown, as the rate of miscarriage in affected pregnant women has not been well studied. Integrin αIIbβ3 and Glycoprotein (GP) Ibα are major glycoproteins expressed on the platelet surface and are the two major antigens targeted by anti-platelet antibodies in autoimmune thrombocytopenia (ITP). However, it is unclear why the incidence of FNIT caused by anti-GPIbα antibodies is far lower than that of FNIT mediated by anti-β3 integrin antibodies. This difference cannot be well explained by the frequency of genetic polymorphisms of the two antigens. We hypothesized that: 1) GPIbα is less immunogenic, leading to less maternal antibody production during pregnancy, or 2) anti-GPIbα antibodies cause a less severe pathology, and thus have a lower chance of being reported, or 3) anti-GPIbα antibodies cause higher incidence of miscarriage, resulting in reduced reported cases. To test these hypotheses, the maternal immune response against fetal platelet GPIbα versus β3 integrin were compared in FNIT models, using syngeneic background BALB/c GPIbα−/− and β3−/− mice. The FNIT models were established by transfusing female GPIbβ −/− or α3−/− mice with 108 gel-filtered platelets from wild-type (WT) BALB/c mice weekly. After two platelet immunizations, flow cytometry assays were used to detect the titers of anti-GPIbα and anti-β3 antibodies, and the immunized females were bred with WT BALB/c male mice. We found that there was no significant difference in mean antibody titer between the two groups (P>0.05). However, miscarriage occurred more frequently in anti-GPIbα-mediated FNIT (14/16 versus 8/16, P<0.05), particularly in pregnant mice with antibody titer less than 1:800 (11/13 versus 6/14, P<0.05). When antibody titers were higher than 1:800, miscarriage occurred in all mice and no difference was observed between the two groups (3/3 versus 2/2, P>0.05). Our data suggest that fewer reported FNIT cases mediated by anti-GPIbα antibodies cannot simply be explained by less immunogenicity of GPIbα, or less severe pathology caused by anti-GPIbα antibodies. Higher incidence of miscarriage caused by maternal immune response to fetal GPIbα likely masks the reported frequency and severity of this life-threatening disease. The mechanisms leading to miscarriage in FNIT, and the potential therapeutic effect of intravenous immunoglobulin (IVIG) in this disorder are currently being investigated. (Li C and Piran S contributed equally to this work).
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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 ».