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Record W2009720281 · doi:10.1182/blood-2005-06-2562

A novel murine model of fetal and neonatal alloimmune thrombocytopenia: response to intravenous IgG therapy

2005· article· en· W2009720281 on OpenAlexafffund
Heyu Ni, Pingguo Chen, Christopher M. Spring, Ebrahim Sayeh, John W. Semple, Alan H. Lazarus, Richard O. Hynes, John Freedman

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsCanadian Blood ServicesOntario Institute for Cancer Research
FundersNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchNational Institutes of HealthUniversity of TorontoCanadian Blood Services
KeywordsNeonatal alloimmune thrombocytopeniaFetusAntibodyImmunologyMedicineCytopeniaPlateletAntigenIsoantibodiesBiologyPregnancyBone marrow

Abstract

fetched live from OpenAlex

Fetal and neonatal alloimmune thrombo cytopenia (FNAITP) is a life-threatening bleeding disorder caused by maternal antibodies directed against fetal platelet antigens. The immunoreactive epitopes in FNAITP are primarily located in the extracellular regions of the platelet glycoprotein IIIa (beta3 integrin). Here we have established a novel animal model of FNAITP using beta3 integrin-deficient (beta3-/-) mice. We demonstrated first that these mice are immunoresponsive to beta3 integrin; beta3-/- mice transfused with wild-type platelets generated specific anti-beta3 antibodies which were able to induce thrombocytopenia in wild-type mice. Subsequently, beta3-/- female mice (both naive and immunized) were bred with wild-type male mice to recapitulate the features of FNAITP. The titer of generated maternal antibodies correlated with the severity of FNAITP. High titer maternal anti-beta3 anti-bodies caused severe fetal thrombocytopenia, intracranial hemorrhage, and even miscarriage. Furthermore, maternal administration of intravenous immunoglobulin G (IgG) ameliorated FNAITP and down-regulated pathogenic antibodies in both the maternal and fetal circulations.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.297
Threshold uncertainty score0.435

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.257
Teacher spread0.239 · 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 teacher head, 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

Citations89
Published2005
Admission routes2
Has abstractyes

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