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Record W2979412921 · doi:10.1182/blood.v114.22.223.223

Administration of Anti-Platelet Antibodies Prevents the Anti-Platelet Immune Response and Bleeding Complications of Neonatal Immune Thrombocytopenia in a Murine Model.

2009· article· en· W2979412921 on OpenAlexaff
Heidi Tiller, Pingguo Chen, Bjøŕn Skogen, Mette Kjær Killie, Anne Husebekk, Maryana Matviyenko, Jens Kjeldsen‐Kragh, Heyu Ni

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsCanadian Blood ServicesSt. Michael's Hospital
Fundersnot available
KeywordsMedicineAntibodyImmunologyImmune systemAntigenImmunogenPlateletFetusImmunizationIsoantibodiesPregnancyPlatelet transfusionMonoclonal antibodyBiology

Abstract

fetched live from OpenAlex

Abstract Abstract 223 Background: The human platelet antigen (HPA) 1a is a potent immunogen located on the β3 integrin. Ten % of pregnant HPA1a negative women produce antibodies against the HPA1a antigen if the foetus is HPA1a positive. Fetal/neonatal immune thrombocytopenia (FNIT) can occur if the mother develops alloantibodies against fetal platelets, with intracranial haemorrhage as the most severe complication. The current opinion has been that immunization against the HPA1a antigen takes place during the first HPA1 non-compatible pregnancy. However, results from a large and recent screening study in Norway found that the majority (75%) of women were immunized around time of delivery, and not so often during pregnancy. This indicates that FNIT could be more similar to haemolytic disease of the newborn (HDN) than previously thought. To prevent HDN, antibody mediated immune suppression (AMIS) is induced by administration of anti-D antibodies in connection with RhD-negative pregnancies. The same principle could be used to prevent FNIT by administration of anti-HPA1a antibodies in HPA1a-negative pregnancies. We have previously established a murine model of FNIT using β3 integrin-deficient (β3−/−) mice. The first aim of the current project was to test whether administration of human anti-HPA1a IgG could suppress the anti-human platelet immune response in β3−/− mice after transfusion of human HPA1a positive platelets. For the second part of the project, we used a pure murine model to test whether administration of murine anti-β3 antibodies transfused after delivery could induce AMIS and prevent bleeding complications of FNIT in the subsequent pregnancies. Methods: Human/murine model: Human IgG from 5 donors with high levels of anti-HPA1a antibodies was purified by Protein G affinity chromatography. Purified IgG from one male donor without detectable anti-platelet specific antibodies was used as control IgG. Human platelets were isolated from an HPA1a positive donor. β3−/− mice were immunized by one tail vein transfusion with 2 × 106 human HPA1a positive platelets, with or without subsequent transfusion of 900ug human IgG (100% saturation). After 7 days, the mice were bled and sera collected. The anti-human platelet immune response was analyzed via flow cytometry, using FITC-conjugated goat anti-mouse IgG as detection antibody. Six mice were injected with anti-HPA1a containing IgG. Control IgG (n=6) or no IgG (n=4) were used as negative controls. Pure murine model: High-titer anti-β3 sera were produced by 4 weekly transfusions of 108 wild type (WT) platelets to β3−/− mice. Naïve β3−/− female mice were bred with naïve β3−/− male mice. Within 24 hours of delivery, the mother was transfused with 108 WT platelets with or without immediate transfusion of anti-β3 sera. The transfusions were repeated one week after delivery and the same females were bred again with WT male BALB/c mice. The anti-β3 immune response was analyzed via flow cytometry, using FITC-conjugated goat anti-mouse IgG. The FNIT phenotype was monitored and all live pups were bled from the carotid vein to determine platelet count. Results: Administration of purified anti-HPA1a IgG significantly suppressed the anti-human platelet immune response in β3−/− mice after transfusion of HPA1a positive platelets as compared with control IgG (p < 0.05). In the pure murine model of FNIT, the anti-β3 immune response was markedly suppressed during the subsequent pregnancy in the mice treated with anti-β3 sera. Two out of three mice receiving anti-β3 sera treatment delivered live pups with moderate thrombocytopenia without signs of haemorrhage (mean platelet count 217 ×106/mL). The third mouse receiving anti-β3 sera delivered dead pups. In contrast, all female mice (n = 3) without anti-β3 sera treatment miscarried. Conclusions: We have demonstrated in vivo that AMIS can be induced by administration of anti-platelet antibodies using a murine model of FNIT. Preliminary data indicates that bleeding complications of FNIT can be prevented with this prophylactic approach. Disclosures: Skogen: Prophylix Pharma a/s: Employment, Equity Ownership. Killie:Prophylix Pharma a/s: Equity Ownership. Husebekk:Prophylix Pharma a/s: Equity Ownership. Kjeldsen-Kragh:Prophylix Pharma a/s: Equity Ownership.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.288
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2009
Admission routes1
Has abstractyes

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