Neonatal Intracranial Hemorrhage with a Dramatic Outcome Due to Maternal Anti CD36 Antibodies
Bibliographic record
Abstract
Fetal/neonatal allo-immune thrombocytopenia (FNAIT) results from maternal immunization against fetal platelet-specific antigens (HPA) inherited from the father. Most cases involve HPA located on glycoproteins (GP) IbIX, IaIIa and IIbIIIa. Iso-immunizations can also occur in the absence of expression of membrane proteins, such as GPIIb or GPIIIa in Glanzmann patients. CD36 (also called glycoprotein GPIV) deficiency is observed in 3 to 5% of Asian and African populations. We report here the case of a 41-year-old Canadian woman originated from Africa, who delivered a male dead new-born at 39 weeks of gestation. A massive intracranial haemorrhage was identified as being the obvious cause of death. No platelet antibody against GPIbIX, IaIIa, and IIbIIIa was identified by the gold-standard Monoclonal Antibody-specific Immobilization of Platelet Antigens (MAIPA) assay. Surprisingly, anti CD36 iso-antibodies were identified in the maternal serum with a new bead-based multiplex assay. The CD36 gene was sequenced for both parents, and a mutation was identified on Exon 10 of the mother’s CD36 gene, which was absent for the father: NM_000072.3:c.975T>G inducing a STOP codon at position 325 of the mature protein. The absence of CD36 expression on the mother’s platelets was confirmed by flow cytometry.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".